Toll-like receptor-guided therapeutic intervention of human cancers: molecular and immunological perspectives

Toll-like receptors (TLRs) serve as the body’s first line of defense, recognizing both pathogen-expressed molecules and host-derived molecules released from damaged or dying cells. The wide distribution of different cell types, ranging from epithelial to immune cells, highlights the crucial roles of TLRs in linking innate and adaptive immunity. Upon stimulation, TLRs binding mediates the expression of several adapter proteins and downstream kinases, that lead to the induction of several other signaling molecules such as key pro-inflammatory mediators. Indeed, extraordinary progress in immunobiological research has suggested that TLRs could represent promising targets for the therapeutic intervention of inflammation-associated diseases, autoimmune diseases, microbial infections as well as human cancers. So far, for the prevention and possible treatment of inflammatory diseases, various TLR antagonists/inhibitors have shown to be efficacious at several stages from pre-clinical evaluation to clinical trials. Therefore, the fascinating role of TLRs in modulating the human immune responses at innate as well as adaptive levels directed the scientists to opt for these immune sensor proteins as suitable targets for developing chemotherapeutics and immunotherapeutics against cancer. Hitherto, several TLR-targeting small molecules (e.g., Pam3CSK4, Poly (I:C), Poly (A:U)), chemical compounds, phytocompounds (e.g., Curcumin), peptides, and antibodies have been found to confer protection against several types of cancers. However, administration of inappropriate doses of such TLR-modulating therapeutics or a wrong infusion administration is reported to induce detrimental outcomes. This review summarizes the current findings on the molecular and structural biology of TLRs and gives an overview of the potency and promises of TLR-directed therapeutic strategies against cancers by discussing the findings from established and pipeline discoveries.

1 Introduction

Cancer is the primary cause of human death with one out of six deaths worldwide (1). According to the World Health Organization (WHO), nearly 10 million deaths have been recorded in 2020 and the mortality graph is following an increasing trend (1). Various types of cancers have been diagnosed through the advancements in diagnostic methodologies. Regrettably, nearly every part of the human body is vulnerable to cancer development, and neoplastic growth in different organs is widely recognized as a major contributor to the lethal forms of cancer (1, 2). According to the reported statistics up to 2020, breast cancer, lung cancer, colon and rectum cancer, prostrate cancer, non-melanoma skin cancer, and gastric cancer respectively represent 2.26%, 2.21%, 1.93%, 1.41%, 1.20%, and 1.09% of the global disease burden of cancers (3, 4). In terms of mortality rate, lung carcinoma is reported as the most fatal type of cancer, followed by colorectal carcinoma, hepatocellular carcinoma, gastric carcinoma, and ductal carcinoma (3). Moreover, approximately four thousands children are usually diagnosed with cancers out of which cervical cancer is considered as one of the common forms of cancer (3).

With the effectiveness of immunotherapy in addressing various types of cancer in humans, the recent introduction of TLRs-based therapies is evidencing exciting results in terms of elongation of survival, and reduction of metastasis, as well as improving the overall prognosis of several diseases (5, 6). (Toll like receptors) TLRs are the pattern recognizing receptors (PRR) that play a fate-deciding role in various infectious and non-infectious diseases of humans including cancer (7–9). Due to this knowledge, TLRs are effective immunoglycoproteins that are activated through four different groups of ligands including damage/danger-associated molecular patterns (DAMPs), microbial/microbe-associated molecular patterns (MAMPs), pathogen-associated molecular patterns (PAMPs), and xenobiotic-associated molecular patterns (XAMPs) (10–13).

TLRs act as innate immune receptors and selectively bind to pathogenic ligands commonly known as PAMPs to elicit an innate immune response by activating the inflammatory signaling cascade (8, 9). Up to now, 13 TLRs (TLR 1-13) have been discovered in mammals (e.g., in mice (TLR1-13) and humans (TLR1-10)) which are grouped into two categories, i,e. extracellular or cell surface (TLR1, TLR2, TLR4, TLR5, TLR6 and TLR11) and intracellular (TLR3, TLR7, TLR8 and TLR9) TLRs (7, 11, 14, 15). Each TLR possesses a structure with three distinct domains viz. extracellular leucine-rich repeats (LRR) domain, a transmembrane domain, and an intracellular TIR domain (8, 9). The extracellular domain of a particular TLR binds to a specific pathogenic ligand through the coordinated association of a co-receptor namely MD2 (9, 16). Binding with the pathogenic ligand results in a conformational change in the intracellular TIR domain that facilitates the recruitment of various adaptor molecules, including myeloid differentiation factor 88 (MyD88), TIR-domain-containing adapter-inducing interferon-β (TRIF), TIR domain-containing adapter protein (TIRAP)/MyD88 adapter-like (MAL), and TRIF-related adaptor molecule (TRAM)) (7). Subsequently, TIRAP recruits MyD88 with TLR2 and TLR4 in order to stimulate the cascade of events in transcriptional activation of nuclear factor-κB (NF-κB) and/or mitogen-activated protein kinase (MAPKs) (7, 9, 17). On the other hand, the binding of TRIF with the TIR domain of TLR3/4 induces the proliferation of interferon regulatory factor-3 (IRF-3), NF-κB, and MAPKs (7, 17). The binding of bacterial LPS with TLR4-MD2 complex elicits a signaling cascade either through MyD88-dependent or -independent pathways (7, 8). TLRs, except for TLR3, mediate the downstream signaling through MyD88, a adaptor protein that ubiquitously expressed in all the immune cells and several cancer tissues (18–20). Previous findings have demonstrated that MyD88 and its related signaling pathways play crucial roles in the progression and development of cancer-associated cells. Therefore, identifying aberrant MyD88 expression is employed to predict prognosis of various human cancers (e.g., lymphoid, liver, hepatic, gastric and colorectal cancers (18, 21, 22). Herein, we present a comprehensive overview of the molecular and immunological aspects of TLR-directed chemo- and immunotherapy against different human cancers by reviewing the significant contributions made till date by the scientific communities across the globe.

2 TLRs in cancers

The causes of cancers are indeed multiple and multifactorial that include the effect of exogenous mediators as well as disruption of homeostasis in the human cell and tissue system (23). However, the gain-of-function of protooncogenes and loss-of-function of tumor suppressor genes are the most critical parameters behind the oncogenic transformation events occurring in the human body (23). Though, environmental pollution, altered lifestyle, and food habits, exposure to ionizing and non-ionizing radiations, consumption of carcinogenic contaminants through food and drinks, infection of oncogenic viruses e.g., hepatitis B virus (HBV), hepatitis C virus (HCV), human papillomavirus (HPV), and oncogenic bacteria e.g., Helicobacter pylori (H. Pylori), Fusobacterium nucleatum (F. nucleatum), Clostridium spp, Escherichia coli (E. coli) are the major causes of neoplastic transformations in humans (23–30). Moreover, human immunodeficiency virus (HIV) is known as an important biological predisposing factor for developing cervical cancer which may increase the risk of this cancer up to six-folds (31, 32). Nevertheless, several other agents as listed by the International Agency for Research on Cancer (IARC), and some genetic and physiological predisposing factors are also considered the risk factors for various cancers of humans (2, 33). So far, several prevention and intervention strategies have been implemented and are currently employed to reduce the harmful impact of cancer (5, 6, 34). Numerous prevention approaches have been recommended for avoiding or reducing the risk of cancer, and/or prolonging the survivability of cancer-affected individuals. These include quitting smoking and limiting alcohol intake, increasing physical activities, following a healthy diet, and maintaining a healthy lifestyle. On the other side, anticancer therapy is majorly comprised of the administration of various anti-tumor drugs/hormones, TLR agonists, and antagonists as immunomodulators and/or immunotherapeutics against various types of cancers (6, 35–37).

As discussed in the previous section, the TLRs belong to the PRR family recognizing the DAMPs, MAMPs, PAMPs, and XAMPs to elicit immune responses (11, 12). They are the key immune sensors for recognizing invading pathogens and are expressed over the sentinel of immune systems that includes macrophages and dendritic cells (7, 16, 38). TLRs play a vital role in the initiation and proliferation of malignant tumors, and in the prognosis of cancer. They promote the carcinogenesis process through the release of proinflammatory cytokines and anti-apoptotic factors, recruitment of immune cells, and proliferation of the cells across the tumor microenvironment (TME) to create a tumor-friendly milieu (39).

Moreover, TLRs are also associated with angiogenesis, metastasis and chemoresistance, and poor survivability. For example, the sensing of bacterial LPS mediates the activation of TLR signaling pathways resulting in hyperinflammation that promotes the pathogenesis of bacterial infection-induced carcinomas including gastric cancer, colorectal cancer, and lung cancers (40). The succession of events up to chronic inflammation is one of the hallmarks of the tumorigenesis process. The overactivation of the inflammatory cells leads to the secretion of growth and survival factors, overexpression of extracellular matrix remodeling enzymes, proangiogenic factors, and other reactive oxygen species (ROS) which in turn facilitate the mutagenesis, tumor growth, and invasion (5). Initially, TLRs were discovered as the component of the innate immune defense system but later on, TLRs were found to be ligated with antibodies to induce the expression of certain genes related to adaptive immune response (41–44). As already outlined, the TLR-mediated inflammatory pathways are routed through the MyD88-dependent and MyD88-independent pathways leading to the transcriptional activation of NF-kB signaling pathways (8, 9). Activated NF-kB (p65/p50 dimer) acts as the transcription factor to induce the secretion of the major proinflammatory cytokines like interleukin (IL)-1β, tumor necrosis factor-α (TNF-α), and IL-6 which promote carcinogenesis as well as metastasis (8, 9, 39). Apart from inducing inflammatory responses, TLRs also exert an antiapoptotic effect on the tumor cells that contribute to cancer progression (45–47). Apoptosis is an ordered and orchestrated biological process regulating cellular homeostasis by programmed cell death (48, 49). Immortalization of cells through acquiring resistance to the apoptotic process is another hallmark of cancer development (50). It is intriguing to note that, NF-κB is known to regulate the expression of anti-apoptotic genes and restricts the activation of pro-apoptotic pathways. TLRs upon binding to their respective ligands can directly activate NF-κB and/or the proinflammatory cytokines like IL-1β and TNF-α. The cytokines produced upon activation of the TLR signaling pathway also induce the activation of NF-κB, which subsequently triggers the expression of apoptotic factors. These factors have been found to promote the survival of tumor cells across different types of cancers (6, 51). The schematic representation of the cross-talks between the TLR signaling pathways in the course of initiation and progression of cancer cells is shown in Figure 1. The roles of different TLRs in promoting cancer development for different types of human cancers are discussed in the subsequent sub-sections.

FIGURE 1

Figure 1 Toll-Like Receptors (TLRs) signaling pathways, intra-, and inter-signaling crosstalk circuits, and their regulatory loops. Cell surface expressed TLRs, including TLR1, 2, 4, 5, 6, 10, and 11, and intracellularly expressed TLRs on endosomal membranes, including TLR3, 7, 8, and 9, recognize their specific pathogen-associated molecular patterns (PAMPs) to activate their signaling pathways. Small molecules and/or microbial ligands, depicted on the top of the cell surface expressed TLRs, occupy the extracellular domain of the TLRs. Upon activation, they induce conformational changes in the intracellular domain to induce a signaling pathway by recruitment of the adaptor molecules (i,e., MyD88, TIRAP, TRIF, and TRAM) followed by downstream signals leading to the activation of sevral transcriptions factors (i.e., AP-1, NF-κB, IRF-3 or IRF-7). These key transcription factors drive the expression of several proinflammatory cytokines as well as antiapoptotic factors. Pro-inflammatory cytokines can promote cancer progression in three ways; firstly through facilitating immortalization by activating the proapoptotic factors, secondly recruiting the immune cells for creating a tumor-friendly microenvironment, and lastly by expanding the blood vessel to maximize the chances of metastasis (52–55). The image has been created with Biorender.com (56).

2.1 Brain and neural cancer

Brain and neural cancer are referred to the tumors associated with the different parts of the central nervous system including both the brain and the spinal cord. The different types of cancers associated with the brain include astrocytomas, meningiomas, oligodendrogliomas, and mixed gliomas as the most common types, while ependymomas, mixed glial and neuronal tumors, and primitive neuroectodermal tumors as the less common ones (57). In this regard, experimental evidence on the increased cell surface expression of TLR1, TLR2, TLR4, TLR5, and TLR6 in astrocytoma samples compared to non-neoplastic brain tissues clearly revealed the involvement of these TLRs in the progression of astrocytoma (58). In fact, the activation of the TLR canonical pathway through TIRAP-MYD88 was found to induce the activation of NF-κB followed by the activation of JUN, and SRF which function as critical transcription factors to promote cellular proliferation (59). Earlier researchers have documented TLR2, 4, and 9 for their role in promoting tumors in glioma cells (60–62). In particular, the expression of TLR4 was detected at a higher level in U118, U87, A172, and LN229 glioma cell lines, and such high expression was linked with the regulation of cell growth and survival of the tumor cells (62). However, TLR4 expression was observed to be lower in glioblastoma (GB) tumors when compared to astrocytomas, and such downregulated level of TLR4 was reported both in chemoresistant GB and in macrophages co-cultured with GB cells (63). This behavior suggests the real strategy for GB-associated immune escape by the reduction of phagocytic functions of the macrophages that are normally induced by TLR4 (64).

Considering the intracellular TLRs, TLR9 expression was detected in the TME after radiotherapy and this finding suggests the beginning of the cancer recurrence process (65). In particular, TLR9 is known to play a key role in the formation of glioma stem cells (GSCs) (38). A study by Zang et al. (66, 67) demonstrated that adenovirus (ADV) infection could increase GSC formations by triggering the TLR9-MYD88 signaling in a STAT3-dependent way. Considering the metastasis stage, TLR2 triggers the NF-κB activation to signal the induction of the proinflammatory responses and overexpression of type 1 matrix-bound metalloproteinase (MT1-MMP) in microglia thereby activating tumor-released MMP2 that promotes metastasis (60, 61).

In children, medulloblastoma is known as one of the primitive neuroectodermal tumors with higher incidence and poor prognosis (68). It is widely heterogeneous, and its histopathological classification includes four subtypes such as classic, desmoplastic/nodular, medulloblastoma with extreme nodularity, and anaplastic (69). Interestingly, TLR7, TLR8, and TLR9 genes were found to possess a differential expression pattern in most of the common pediatric medulloblastoma histological subtypes (42). In contrast, a significant reduction in the expression of TLR7 and TLR8 was observed in the anaplastic subtype (42). The high expression of TLR7 was reported to ensure the best survival outcome after 60 months of follow-up than the low TLR7 expression (70). Considering the prominent and contrasting expression profiles, TLR7 has been proposed as a prognostic factor of survival in pediatric medulloblastoma patients.

2.2 Head and neck cancer

Head and neck cancer includes the cancer subtypes associated with the oral cavity, pharynx, larynx, nasal cavity, paranasal sinuses, and salivary glands. Oral and pharyngeal cancer are jointly the sixth most common type of cancers that occur through the prolonged use of tobacco through chewing and smoking, and alcohol consumption (71). In this direction, TLRs are known to play a vital role in the initiation and progression of oral squamous cell carcinoma and other cancers. TLR2 is expressed over the keratinocytes in oral squamous cell carcinoma and this receptor particularly regulates the growth and survivability of the tumor cells by promoting the immune-escape and inhibition of apoptosis (72). Considering the extent of expression, TLR3 is overexpressed in both head and neck carcinoma and squamous cell carcinoma (45). Mutations in the TLR3 genotypes are also found to be linked to the occurrence and development of carcinoma and are associated with the poor survival of the affected patients (73). In addition to TLR3, TLR4 has been reported to be a critical mediator of the tumorigenesis process in head and neck cancer (43). In fact, inflammatory cytokines, chemokines, and several other growth factors generated through the signaling cascade originating through the TLR4-MyD88-NF-κB axis regulate tumor growth as well as infiltration of the immune cells (71). In oral carcinoma, upregulation of TLR4 expression is found and such elevated level of TLR4 drives the transition of epithelial to mesenchymal cells to promote metastasis, cancer differentiation, and proliferation leading to poor survival and increased disease severity (74). Several studies suggested that the expression of TLR5, 7, and 9 is associated with poor differentiation and poor prognosis of oral cell carcinoma (71, 75, 76).

2.3 Esophageal cancer

Esophageal cancer is the eighth most common cancer globally with predominant cases of esophageal squamous cell carcinomas (ESCC) and esophageal adenocarcinoma (EAC). The normal human esophageal epithelial cells show a basal-level expression of TLR2, 3, 4, and 7 (77). However, a significant increase in the transcriptional expression of TLR3, TLR4, TLR7, and TLR9 is seen in ESCC (50). On the other side, elevated expression of TLR1, TLR2, TLR4, and TLR6 are usually observed in case of EAC (78, 79). Ex vivo experiments have shown that LPS stimulation of TLR4 in Barrett’s esophagus (BE) epithelial cell lines leads to an increase in cyclo-oxygenase 2 (COX-2) activity and an inflammatory response (65, 66, 80). Furthermore, activation of the TLR4-MyD88-TRAF6-NF-κB axis has been found to increase cell proliferation in EAC (65, 66). A high expression level of TLR5 was also found during the progression from metaplasia-dysplasia to EAC, while the expression of TLR9 was associated with advanced disease, poor differentiation, and metastasis (81). Further, high TLR3, TLR4, and TLR9 expression were also observed in stromal cells of ESCC and these were found to be associated with lymphatic metastasis, whereas the increase expression of TLR7 and TLR9 were noted to be linked to the advanced clinical stage of the disease (82, 83).

2.4 Lung cancer

Lung cancer is the most rapidly growing malignant tumor and currently contributes to the second largest cancer-related death worldwide. Non-small cell lung cancer (NSCLC) is the predominant subtype of lung cancer and is associated with 80% of cases (84). The physiological architecture of the transformed lung tissue itself indicates the involvement of inflammation in the oncogenesis process. Similar to other human cells, the airway epithelial cells of human lungs also possess various TLRs in their cell membrane and cytoplasm (14, 85, 86). These TLRs are known to play a role in amplifying inflammatory processes that contribute to tumorigenesis. The epigenetic regulation of TLR2 and TLR3 by DNA methylation has been reported to cause transcriptional activation leading to increased disease susceptibility and severity in lung cancer patients (84). On the other side, activation of TLR4 stimulated by the LPS has been seen to induce the activation of several vital cancer-critical signaling pathways that include the primary TLR4/NF-κB signaling pathways for inducing anti-apoptotic response and PI3K/Akt signaling pathways for uncontrolled cell division (37, 84). These signaling events are also implicated in the increased proliferation of lung carcinoma as well as poor disease survival (37, 84). The roles of different TLRs in the development, progression, and immunopathology of lung cancer have been extensively studied at the level of cytokines and chemokines. It is intriguing to note that the tumorigenesis and metastasis of different forms of lung carcinoma are principally mediated by the TLR2, TLR4, and TLR9-guided production of anti-inflammatory cytokines such as transforming growth factor-β (TGF-β), and IL-10 and growth factors such as vascular endothelial growth factor (VEGF) and fibroblast growth factor 2 (FGF2) (87). Moreover, the extracellular matrix remodeling and EGFR-mediated signaling axes induced by TLR2 and TLR4 create an optimal condition for the progression and metastasis of lung carcinoma (88). In particular, the ECM remodeling leads to the release of proteins such as fibrin and hyaluronan that may act as DAMPs for the PRRs including the TLRs to amplify the intensity of various inflammatory responses (89). Experiments conducted using human lung cancer in-situ and human lung cancer cell lines (e.g. A549) revealed that two intracellular TLRs namely TLR7 and TLR8 primarily signal the activation of the NF-κB signaling pathway, upregulation of the antiapoptotic protein Bcl-2 and the increase of tumor cell survival and chemoresistance processes (90). Many proteins, particularly NF-κB can regulate the non-canonical Wnt pathway by WNT5A ligand that functions as a “bridge” between the TLRs and Wnt signaling (91). Generally, WNT5A is an oncogenic protein involved in invasion and metastasis processes that increases its expression in human bronchial epithelial cells after exposure to cigarette smoke (92, 93). At the same time, tobacco smoke could induce the expression of TLRs in macrophages becoming both a very potent inducer of lung cancer and a trigger factor contributing to the unbalancing of Wnt/TLR (94, 95). TLRs have been discovered to be potential prognostic markers for lung cancer. Particularly in early-stage disease (i.e., stage 1), NSCLC and adenocarcinoma (ADC) patients display high mRNA expression of TLR1-10 and such overexpression is linked with improved overall survival of the patients (96). Moreover, a study using NSCLC patient serum demonstrated a significant correlation between the low level of soluble TLR4 with the poor survival of early-stage NSCLC (63). These aforementioned studies collectively support the proposition of TLRs as critical mediators and prognostic markers for NSCLC (97). In contrast, in advanced-stage NSCLC patients, an elevated level of TLR7 was reported to be strongly associated with a poor clinical outcome of NSCLC (64). Moreover, the outcomes of the mentioned study suggested that TLR7 could promote an immune suppressive microenvironment that facilitates the promotion of the immune evasion capacity of the tumor cells (98). Furthermore, elevated level of TLRs is also known to induce the expression of several pro-tumorigenic microRNAs (miRNAs) in the lung tissues. For example, a high level of TLR4 and TLR9 was found to be correlated with an increase abundance of miR-21 and miR-26a expression respectively (65). In fact, the upregulation of miR-21 and miR-26a was found to promote and increase the weight and size of the tumor mass in mice as well as the proliferation and migration of primary human lung cancer (99). An opposite behavior was observed for miR-15a/16 and TLR1 where overexpression of these miRNAs was seen to enhance the radiation sensitivity and overcome the radioresistance of the lung cells by regulating the TLR1/NF-κB signaling pathway (100). These results suggest the possibility of devising novel therapeutic strategies for lung cancers by either regulating the expression of the miRNAs by targeting TLRs or by modulating miRNA expression.

2.5 Breast cancer

Breast cancer is the most common type of cancer in America and is second in cancer-related deaths of women. It is a heterogeneous disease with multiple characters and clinical outcomes. Alike other cancers, mounting evidence suggests an important association between TLRs and the occurrence and development of breast cancer. TLRs play a predominant role in the TME of breast cancer and its pathogenesis. Studies conducted in malignant MDA-MB-231 cells suggest that the expression of TLR2 decreases up to 10-folds (67). However, breast cancer cells display activation of NF-κB and upregulation of expression of IL-6, TGF-β, VEGF, and matrix-metalloproteinase 9 (MMP9) (101). This evidence does suggest the involvement of other TLRs in the tumorigenesis process. In this context, TLR3 has been found to play an immunosuppressive role in the progression of cancer and survival, but its overexpression leads to increased metastasis (102). Moreover, dysregulation of TLR2 has been reported as a prognostic biomarker in breast cancer by implying a dual role in carcinogenesis and chemoresistance (103). Experimental stimulation of TLR2 in breast cancer stem cells (CSC) induces the activation of the MyD88/NF-κB and Akt pathways following the secretion of several cytokines (TGF-β and IL-6) and growth factors (epidermal growth factor (EGF)) that enable the cancer cells to survive and invade the nearby tissue or blood vessel (104). This behavior is in line with another observation that showed an increase in the expression of TLR2 in breast cancer lines endowed with high metastatic ability (101). The chemoresistance ability of TLR2 is expressed with a low relapse-time in anticancer chemotherapeutic-treated breast cancer patients and with a decrease in the sensitivity of several breast cancer cell lines to doxorubicin (103). In particular, the doxorubicin-induced immunogenic cell death releases TLR2-activating DAMPs, such as HMGB1, able to protects breast cancer cells from chemotherapy and promotes metastasis formation (105). Regarding TLR3, it plays an antithetical role in the progression of breast cancer and survival (106). The overexpression leads to an increase in metastasis and promotes both the CSC phenotype through the activation of Wnt/β-catenin and NF-κB signaling pathways and the mammosphere-like structure in breast cancer cells (107). On the contrary, upon stimulation with its ligand Poly(I:C), TLR3 induces a strong TRIF-dependent production of IFN-β, NF-κB activation, and finally the release of the pro-apoptotic cytokines and cytokine (IL-1β)-driven activation of the caspases (e.g. caspase-1) (102). Notably, TLR4 is highly overexpressed in breast cancer cells and promotes inflammatory response by stimulation from cellular ligands (e.g. HMG1) and results in increased cell proliferation, and lymph node metastasis, regulating the expression of integrin αvβ3 results in the adhesion and invasiveness of metastatic breast cancer cells (108, 109). In particular, it was observed that the expression levels of TLR4 and MyD88 are related to the metastatic and invasive potential of the breast cancer cell type. As we know TLR4/MyD88 signaling plays vigorous roles in several cancers. Wu et al. (93) showed that the expression levels of TLR4/MyD88 were positively correlated with the metastatic potential of breast cancer cells and tumors. These group further confirmed that the expression of the TLR4 is the key regulatory factor that determines invasiveness of cancerous cells from breast tissue (110). Additionally, the expression level of MyD88 alongside TLR4 was also found to be positively correlated with axillary lymph node metastasis and histological-grade breast cancer development (110).

2.6 Pancreatic and Hepatocellular cancers

Pancreatic cancer is the most lethal type of gastrointestinal tract cancer with the highest morbidity and mortality rate (111). The primary risk factors of pancreatic ductal adenocarcinoma (PDAC) include patient age, smoking status, obesity, diabetes, and status of chronic pancreatitis. These, subsequently lead to chronic inflammation which stimulates the TLR signaling pathways. TLR2 and TLR4 are usually found to be overexpressed in the pancreatic carcinomas tissues leading to poor disease prognosis and increased metastases (112). Apart from the cell surface TLRs, intracellular TLRs also play a fate-deciding role in the oncogenesis of pancreatic cancer. Viral infections cause stimulation of TLR7 and TLR8 through the viral ssRNA and/or other nucleotide ligands leading to immune cell activation and proliferation (78). Notably, inflammatory cytokines and other growth factors generated through TLR7 and TLR8 resulted in increased progression of metastatic cancer cells and downregulate the cell cycle regulators including cyclin D1, p16, PTEN, and the upregulation of p27, p53, p21, cyclin B1, PPARγ, and TGF-β (113, 114).

Hepatocellular carcinoma (HCC) represents the most frequent visceral neoplasm, occupying 70–90% of all primary liver cancer, and is characterized by heterogeneous malignancy, which happens via distinct pathway activation and molecular alterations (115, 116). Actually, the major treatment strategies against HCC are surgery, transplantation, and percutaneous ablations (117). The TME plays a critical role in the initiation, growth, and dissemination of HCC (118). An emerging evidence suggests a correlation between TLR activation and immune cell infiltration in HCC (119). Consequently, the dysregulation of the TLRs in HCC might contribute to tumor progression as observed by Liu et al. (120), where they identified several HCC-specific TLRs. In particular, a TLR-based gene signature (including MAP2K2, IRAK1, RAC1, TRAF3, MAP3K7, and SPP1) was identified in order to create an advantage in tumor prediction and to assist clinicians in selecting personalized therapy for HCC patients. To date, most studies have focused on the involvement of TLR2, 4, and 9 in the development of HCC. TLR4 and 9 have been reported as the critical factors in the progression of non-alcoholic fatty liver disease (NAFLD) and involve in mediating neutrophil dysfunction in cases of alcoholic hepatitis (121). Despite not receiving a thorough investigation, the TLR2 plays a critical role in liver disease progression, HCC development, and maintenance. Recently, a strong positive correlation was reported between cell proliferation index, the cytosolic expression, and nuclear translocation of TLR2 and apoptotic marker Caspase-3 expression particularly in HCC patients (121). Previously, it was shown how miR-143 downregulates TLR2 expression in hepatoma cells, leading to the inhibition of hepatoma cell proliferation (122). Additionally, TLR2 and TLR9 are involved in alcohol-induced liver injury by inducing CXCL1 and promoting infiltration of neutrophils (121). Investigations of the role of TLRs have uncovered various regulatory mechanisms that contribute to the increased production of pro-inflammatory and oncogenic molecules like cytokines (e.g., NANOG, Caspase-1, Ephrin-A1, NO, and BCL6). Thus, dysregulation of TLR4 has been associated with invasiveness and metastatic potential, as well as poor prognosis for individuals with HCC (123–125). Recent research demonstrated that high expression of TLR4 was associated with microvascular invasion in HCC (126). These observations indicate that TLR4 displays critical roles in HCC progression and the ability of miR-122 to modulate the innate immunity by blocking TLR4, which underlines the important role of this TLR in hepatocarcinogenesis (127). Moreover, TLR4 mRNA expression has been shown positively correlated with IL-6 and IL-10 mRNA expression and this correlation was stronger in obese HCC patients (128). Additionally, alongside TLR9, TLR7 has been identified as a pivotal regulator in tumor progression and is highly regulated in human HCC tissue (129). Their inhibition with oligonucleotide IRS-954 or chloroquine could potentially be used as a novel therapeutic approach for HCC development and/or progression. Finally, the TLR5 could represent an independent prognostic marker in HCC. Its localization, cytoplasmic or nuclear, is associated with high or poor 5-year overall disease-specific survival, respectively (130). These findings suggest a possible link between the TLR5 expression and the prognostic risk factors Ki67 and p53 in HCC progression (131).

2.7 Gastric cancer

Despite the declining incidence, gastric cancer (GC) is one of the most common malignancies worldwide. Helicobacter pylori (H. pylori) is by far the most important risk factor for GC development which is associated with early-onset cases (132–136). Although H. pylori infection triggers chronic inflammation by mediating immune regulators through pro-tumorigenic activities, its actual molecular pathogenesis in GC development is largely unknown. It is believed that H. pylori-associated carcinogenesis initiates gastric mucosal disturbance followed by chronic gastritis through a plethora of different signal transduction processes (137–139). In this scenario, diverse ligands of microbial and host cells have been identified to orchestrate various inflammatory responses leading to an interplay between H. pylori-induced chronic inflammation and the inflammatory milieu of the TME. Previous research has shown that the gastric mucosal immunity reacts to H. pylori infection by inducing the expression of TLRs, resulting in an inflammatory microenvironment generation (140, 141). Their involvement is essential for H. pylori recognition and subsequent innate and adaptive immunity against this bacterium. The human immune system crosstalk with H. pylori through several PRRs has been extensively reviewed by Cheok et al. (142).

Given their complexity roles in tumor immunity as either pro-tumor, anti-tumor, or dual effects, several TLRs (i.e., TLR2, 3, 4, 5, 7, and 9) have been reported to be dysregulated in human GC cells (142). Among them, increasing expression levels of TLR2, 4, 5, and 9 have been reported to be associated with cancer progression from normal gastric mucosa to pre-cancerous lesions, gastric dysplasia, and ultimately to gastric adenocarcinoma. Their overexpression suggests that TLRs may play a specific role in GC development (143).

Throughout the last decade, TLR2 and TLR4 have turned into an emerging candidate, that acts as critical innate immune sensor to trigger the inflammatory response to many ligands of microbial and their targeted host. Notably, several studies have shown that TLR1, TLR2, TLR4, and TLR10 gene polymorphisms are associated with increased GC risk, and its expression is significantly raised in H. pylori-positive gastritis patients as well as GC patients (144–147). Some of these TLRs, TLR1, 2, 4, 5, and 6, recognize different membrane components like lipids, lipoproteins, and proteins, binding their ligands on the cell surface, while others, including TLR3, 7, 8, and 9, play a major role in the recognition of microbial nucleic acids, which are identified in the extracellular vesicles. It has been shown that TLR2, 4, and 5 subtypes are critically involved in immune responses to bacterial infections, being abundantly expressed in immune cells. In general, TLR2 recognizes PAMPs mainly from Gram-positive bacteria, TLR4 is the receptor for Gram-negative bacterial lipopolysaccharide (LPS) and TLR5 recognizes bacterial flagellin (148). Moreover, TLR3 (regarded as a potential therapeutic target for multiple cancers), TLR5 (an effective target for antitumor immunotherapy), and TLR9 (involved in both anti-tumor and pro-tumor responses) are overexpressed in GC that lead to increased cell proliferation, dysplasia, metaplasia, lymph node metastasis, and poor survival (149, 150). Lastly, TLR7 and TLR8 were also shown to recognize purified H. pylori RNA that mediates the IL-6/IL-12 response, whereas TLR9 recognizes unmethylated CpG DNAs.

Additionally, there is growing evidence that host-derived RNA species (e.g., miRNAs) could interact with TLRs (151, 152). Being involved in regulation at a post-transcriptional level as either oncogenes or tumor suppressors, miRNAs can either inhibit the translation or facilitate the cleavage of their targeted mRNA. Moreover, miRNAs gained great interest for their potential use as biomarkers in several human diseases (153–155). It has been reported that induction of miRNAs by TLR ligands could affect TLR pathway activation and initiate the signaling cascade of immune response (e.g., through stimulating NF-κB signal downstream to TLRs) (156, 157). Given the importance of LPS–TLR interactions in H. pylori pathogenesis, miRNAs serve multiple regulatory functions in infection pathogenesis. Accordingly, differential expression of several miRNAs (e.g., miR-9, miR-105, miR-146a, miR-132, and miR-212) have been reported to negatively regulate TLR2-induced cytokine production, thereby fine-tuning the immune system (156–158). Therefore, the interactions between miRNAs and TLRs as a common language of “cell-to-cell communication” are associated with the prognosis for and progression of multiple human diseases, including cancer.

As already outlined, H. pylori-associated pathogenesis is linked to the severity of the host inflammatory response. Although the actual role of TLRs in LPS recognition is still contradictory, the binding of H. pylori LPS with TLR2 and TLR4 initiates the proinflammatory responses to develop the early stages of GC. After bacterial recognition, both TLR2 and TLR4 are activated in cooperation with the adapter molecule MyD88, triggering the MAPK signaling pathway. Thereafter, these signaling cascades activate the transcription factor NF-κB and drive the secretion of distinct cytokines i.e., proinflammatory cytokines including IL-1β, IL-2, IL-6, IL-8, and IL-12 (140, 159). Smith et al. (160) reported that as a classic TLR2 ligand, H. pylori LPS activates NF-κB and transcription from the IL-8 promoter and induces expression of a discrete pattern of chemokines such as CXCL1, CXCL2, CXCL3, and CCL20 through pathways involving MyD88, MAL, IRAK1, IRAK4, TRAF6, IKKβ, and IĸBα (160).

TLR5 is well-known for its role in recognizing bacterial flagellin, the bacterial structural protein that is expressed on the surface of epithelial cells as well as some innate immune cells. This propriety enables H. pylori to move between the mucus layer of the stomach and the surface of epithelial cells, therefore playing a key role in initial colonization (161). Previous research showed that live H. pylori or its purified flagellin activates the NF-κB pathway through binding to TLR5. Significant upregulation of TLR5 is also detected in THP-1 cells following H. pylori infection, causing secretion of IL-8 and TNF-α, which initiate inflammation (142).

The cag pathogenicity island (cagPAI) of H. pylori encodes a type IV secretion system (T4SS) which is associated with the gastric disease; being Cag3, CagM, CagT, CagX, and CagY proteins as the T4SS core complex of this bacterium (162). The T4SS-pilus protein CagL of H. pylori interacts directly with TLR5 (163). Enrolled in bacteria–host cell interface, T4SS pilus, a needle-like surface appendage is induced upon host contact resulting in better bacterial proliferation and persistent colonization of the body (164). Recent studies have reported that components of T4SS, such as CagL and CagY, in pathogenic H. pylori strains can serve as TLR5 agonists in driving the innate immune activation and recruitment of T helper 1 (TH1) cells (15, 150). CagY, a pilus-associated protein, has been identified as a strong flagellin-independent agonist of TLR5 leading to fundamental innate immune responses mediated by this pathogen (162). However, due to the low intrinsic activity of H. pylori flagellin, demands regarding which bacterial factors activate TLR5 are mounting.

In summary, GC is associated with heterogeneous pathophysiological criteria concerning anatomical location and histological subtypes. Among several associated factors (e.g., gastro-esophageal reflux, atrophic gastritis, male gender, smoking, and diet), its interaction with H. pylori mediates the production of inflammatory cytokines and chemokines. The binding of LPS of H. pylori with TLRs (TLR2, 4, and 5) initiates the proinflammatory responses that give rise to GC. Although their actual role in the evolution of gastritis remains unclear, TLRs have been associated with several cellular processes such as increased cell proliferation, dysplasia, metaplasia, lymph node metastasis, and poor survival in GC (149, 150). Overall, the existence of diverse bacterial ligands recognized by the TLRs, their complex role in innate and adaptive immunity, microbial interactions with other epithelial receptors of the gastrointestinal tract, host genetics, and environmental variables, require more investigations to better understand the causal role for specific TLRs in GC.

2.8 Colorectal cancer

Colorectal cancer (CRC) is the third most common cancer worldwide and is second in causing cancer-associated deaths (165). Chronic inflammation that maintains a favorable TME and systemic immune response are the key factors in the neoplastic transformation of colon tissue (111, 166). The intestinal epithelium expresses several TLRs that play a dual role in pro-tumor and/or anti-tumor activities in the case of CRC. Being enrolled in microbial-induced proteins, several TLRs are shown to be expressed in most epithelial cell lineages; among them, TLR1, 2, and 4 bind to MyD88 followed by activation of NF-κB by binding to interleukin-1 receptor-associated kinases (IRAK1, 2, and 4 (167).

So far, the dysregulated expression of several TLRs has been reported in CRC patients either in cancerous or noncancerous tissues (168). The upregulation of TLR2 and TLR4 genes has been a subject of considerable interest in CRC research. Their expression levels vary depending on the stage of the disease, with higher expression levels being associated with more advanced stages of CRC (169–171). TLR2 shows differential expression across the different clinicopathological conditions of colon carcinoma. It increases tumor formation by elevating the level of IL-6, IL-17A, and STAT3 (51). However, in colitis-induced cancer, TLR2 shows antitumor activities (172, 173). In this context, TLR4 plays an active role in the colon by maintaining immune homeostasis. A study by Wang et al. (174) suggested that the overexpression of TLR4 and MyD88 in the gut tissue resulted in gut inflammation and infiltration of immune cells that contributed to the tumorigenesis and progression of CRC with a higher degree of metastasis and poor survival. In stromal fibroblast, the expression of TLR4 is associated with a poor prognosis of CRC (174).

As already outlined, TLRs, particularly TLR2 and 4, are highly expressed in human rectal adenocarcinoma cells and serve as receptors for PAMPs. These two TLRs are the best-characterized PRRs which identify either invading pathogens outside the cell and/or intracellular pathogens engulfed in the endosomes or lysosomes (8, 152). Without going into the details of their pathogenesis, it has been identified that colonic adenomas and adenocarcinomas are colonized with diverse microbiota that play fundamental roles in intestinal homeostasis and disease progression. Therefore, it is believed that alterations in the gut microbiota followed by their excreted metabolites are closely related to CRC progression (153, 167, 175, 176). Indeed, this alteration may affect the expression pattern of TLRs on the epithelial cell surface leading to increased intestinal permeability and distinct features of “microbial dysbiosis”. Thus, any imbalance in the composition of the gut microbiota, as well as epithelial cells, may disturb immune homeostasis such as TLR signaling pathways, leading to uncontrolled inflammation and disease progression (40, 177–180). For example, Enterotoxigenic Bacteroides fragilis, Fusobacteria spp., and pks+ E. coli have been identified in association with the development of adenoma and/or CRC (26, 27, 181, 182). However, regardless of accumulating evidence of microbial composition in CRC pathogenesis, a better understanding of the crosstalk between tumor-associated bacteria and TLRs is required (40, 177). Overall, the mechanistic insights of the oncogenic transformation of normal colon tissue to CRC via activation of the TLRs still need some attention from the scientific communities.

2.9 Ovarian cancer

Ovarian cancer is a highly devastating and life-taking gynecological cancer characterized by the neoplastic transformation of ovarian epithelial, stromal, or germline cells (183). The ovarian cancer microenvironment is highly immunosuppressive. It consists of elevated levels of IL-10, IL-4, and TGF-β, thereby suppressing the macrophages and dendritic cells and increasing VEGF (184). Several studies suggested the overexpression of TLR2, 3, 4, 5, and 9 throughout the carcinogenic ovarian epithelial cells which induce the metastasis process (185–188). The TLRs are expressed over the normal ovarian epithelial cells and induce inflammatory responses thereby eliciting the neoplastic transformation of the ovarian tissues. TLR3 mediated immune responses by triggering tumor cell growth and survivability and are associated with cancer progression (184, 188). Instead, TLR4 is stimulated through the binding of LPS over the tumor cells to increase the production of inflammatory cytokines that lead to inhibiting the ability of CTLs for cancer cell recognition and death (185, 189). TLR4 overexpression is associated with its immunosuppressive role in disease progression and increased cancer cell survival (189). Studies showed that the increased expression of TLR4 in ovarian cancer results in resistance to several chemotherapeutic drugs, including Paclitaxel (187). Moreover, the high expression of TLR9 in ovarian cancers leads to increased disease severity, poor survival, increased tumor grade, and metastasis (34, 186). The role of different TLRs across different cancers is summarized in Table 1.

TABLE 1

Table 1 Involvement of TLRs in inducing susceptibility and resistance to different human cancers.

Intriguingly, TLR gene polymorphisms, which alter the activities of the TLRs, result in the alteration of manifestations of many infectious and inflammatory diseases, including cancer (8, 9). For instance, the occurrence of GC has been associated with TLR4 polymorphisms viz., rs4986790 and rs4986791 (200). Similarly, TLR3 polymorphism rs5743312 has been found to increase the occurrence of oral cancer (201). A recent study by Hu et al. (202) revealed a relationship between TLR4 polymorphism and pan-cancer through an integrated omics approach describing that TLR4 gene expression is remarkably correlated with the expression of DNA methyltransferase 2 (DNMT2) and DNMT3B in the course of skin cutaneous melanoma and stomach adenocarcinoma.

2.10 Hematologic cancers

Hematologic cancers include several clonal malignancies (e.g., lymphoma, leukemia, and multiple myeloma) that arise from cells of the immune system at different stages of their differentiation process, starting from blasts to memory cells. Lymphomas are proliferative diseases of lymph nodes or extra-nodal lymphatic tissue, arising from B, T, or NK cells at distinct maturation and differentiation stages (203, 204). Lymphomas are divided into non-Hodgkin’s lymphoma (NHL), which contains the most prevalent forms of lymphomas, and Hodgkin’s lymphoma (HL), which is categorized into a classical (cHL) (represents approximately 95% of patients) and a nodular lymphocyte predominant form (NLPHL) (for only 5% of cases) (205, 206).

Accumulating evidence reported the aberrant expression of TLRs on the transformed cells of the immune system to contribute to the development of hematopoietic and related malignancies (207, 208). TLR gene variants have been reported as having potential functional relevance associated with lymphoma etiology and prognosis. By meta-analysis study of TLR gene polymorphisms in NHL, it was reported that variations in the TLR10, TLR1, and TLR6 regions are associated with NHL risk. In particular, two SNPs within the region, rs10008492, and rs4833103, were significantly associated with NHL and correlated to TLRs expression (194). Furthermore, the TLR2-rs4696480 variant has been shown to increase the risk of follicular lymphoma (FL), whereas it decreases the risk of chronic lymphocytic leukemia (CLL) (195). TLR4 Asp299Gly SNP has been related to lymphoma by elevating the risk for MALT lymphoma; an increased risk of HL and T-NHL. Moreover, among several TLRs expressed by Mantle cell lymphoma (MCL) cells, TLR4 is reported among the highest-expressed molecules. LPS upregulates the secretion of inflammatory cytokines leading to increased proliferation of MCL cells. Therefore, TLR4 signaling could trigger a signaling cascade resulting in MCL growth and evasion from the immune system (197). Other studies have also shown that TLR9-rs5743836 SNP is also associated with an elevated risk for NHL (198). This SNP has been recently reported to be linked with the Mutu-I and BJAB Burkitt lymphoma (BL), resulting in enhanced NF-κB activation upon TLR9 triggering (199). The association between TLR9-rs352140 SNP and cell death responses of BL cells highlights its potency as a biological marker and an anti-cancer agent (synthetic TLR9 agonists). Acute lymphoblastic leukemia (ALL) is another hematologic malignant disorder of lymphoid progenitor cells, and it is due to various significant genetic lesions in B/T-precursor-stage lymphoid cells, including mutations that induce aberrant cell proliferation and lymphoid differentiation arrest (209–211). As the most common pediatric malignancy, the B-cell precursor acute lymphoblastic leukemia (BCPALL) expresses detectable alterations in costimulatory molecule expression of TLR2, TLR7, and TLR9, being TLR2 ligands PAM3CSK4 and PGN, the most powerful effect on anti-ALL immune responses (212). In another study, the SNPs analysis on patients with newly diagnosed B-cell acute lymphoblastic leukemia (B-ALL) revealed the role of three specific TLR2 and TLR4 genotypes (TLR-2 Arg753Gln, TLR-4 Thr399Ile, and TLR-4 Asp299Gly) that could predict good B-ALL patients outcome (213). Multiple myeloma (MM) is a fatal B-cell malignancy determined by an accumulation of neoplastic plasma cells in the bone marrow (214). MM accounts for 10% of all hematologic malignancies and the incidence rate accounts for 0.8% of all cancers and its death rate indicates 1.0% of all cancer deaths per year worldwide (215). In addition to above mentioned myeloid malignancy, a broad spectrum of TLRs expression has been reported in MM patients. Among the most frequently expressed TLRs, heterogeneous expressions of TLR3, 4, 7, and 9 on primary myeloma cells have been reported (216). The canonical NF-κB pathway followed by the expression of IL-6 is among the most important growth and survival factors in MM cells (217). The expression level of TLRs mediates the autocrine loop secretion of IL-6 which has a pivotal role in the survival, growth, and drug resistance of MM cells (216). On the other hand, dysregulated TLRs could induce immune escape of MM cells through inhibition of NK cells (218) as well as induction of NF-κB-dependent proliferation of myeloma cells resulted in MM cell growth and proliferation (216).

Finally, B-cell chronic lymphocytic leukemia (B-CLL) is one of the most entirely studied forms of hematologic malignancies characterized by a progressive accumulation of monoclonal CD5⁺/CD19⁺, CD23⁺, CD21⁺, CD40⁺ B cells with prolonged cell survival and low proliferative index in the peripheral blood, bone marrow, and lymphoid organs (219). The cellular origin of CLL remains unclear, but numerous experimental data suggest that CLL results from a multiplication of B lymphocytes selected during clonal expansion through multiple exposures to antigens (220). Data regarding the TLR expression spectrum in B-CLL is associated with TLR2, 4, and 10. A lower percentage of CD19⁺/CD5⁺TLR2⁺ cells in patients with CLL compared to the control group was found and mean fluorescence intensity (MFI) data indicated that low TLR2 expression is associated with poor prognosis in CLL patients, suggesting that TLR2 could become a potential biological marker for the clinical outcome in patients with CLL (196). Skorka et al. (221) observed a significantly lower expression of splicing variants of TLR4 (TLR4 (1) and TLR4 (4)) in the peripheral blood mononuclear cells (PBMC) in CLL compared to healthy volunteers (HVs). They identified that the splicing variants of TLR4 (3) could impact clinical outcomes in CLL. Moreover, this group suggested a potential prognostic role of high expression of TLR9 mRNA in the bone marrow in CLL due to shorter time to first treatment (TTFT) in groups of CLL patients with high TLR9 expression in comparison to low TLR9 expression in bone marrow mononuclear cells (BBMC) (221). The TLR9 high expression was confirmed in autologous plasma from patients with CLL that contains a disproportionately high level of unmethylated mtDNA, able to trigger TLR9 signaling (222).

3 Tumor microenvironment and tumor immune microenvironment

TME is a feature obtained from an intimate communication between stromal- (e.g., different types of immune cells, endothelial cells, and cancer-associated fibroblasts (CAF)) and tumor cells. Indeed, TME is the outcome of an effective and dynamic network composed of chemokines, cytokines, soluble factors, adhesins, and growth factor molecules. The natural characteristics of the TME network may lead to tumor development via cell migration within the tumor mass, extracellular matrix remodeling, and the growth of aberrant lymphatic and vascular networks. As results show, the existence of chemotherapy-resistant cancer cells within the TME results in the occurrence of mutations which makes it an aggressive tumor (223–225). In brief, the active communications between immune biomolecules and tumor cells within TME support cancer development and progression (226, 227).

Activation of TLRs may lead to the induction of a cascade of biological activities such as TLRs signaling pathways and chronic inflammation-induced tumorigenesis. As previous recorded reports show, chronic inflammation is the pivotal stimulator of TME which results in the induction of tumor cell proliferation, survival, and suppression of anti-tumor immunity. Hence, the activation of uncontrolled TLRs signaling pathways is the unfavor edge of the TLRs double-edged sword (227–230). Indeed, a wide range of diseases e.g., autoimmune diseases, infectious diseases, cancers, etc. appear as a consequence of any dysregulations in association with TLRs signaling pathways. Therefore, blocking the TLRs involvement in inflammatory diseases and recruitment of TLRs signaling pathways in opposition to cancers are effective options that can be achieved through manipulation of TLR signaling pathways. Due to this knowledge, TLR agonists are recruited as vaccine adjuvants and antimicrobial agents; while the TLR antagonists are exploited as immunosuppressive drugs (13, 231).

TLRs are important biomolecules that can be expressed in different types of cells including immune cells, tumor cells, and tumor tissues. In this regard, the expression of TLRs and the rate of their expression within the human host body depending on the progression and condition of different tumor cells and cancers vary, entirely. TLRs have both pro-tumor (such as invasion, proliferation, migration, cancerous stem cells maintenance) and anti-tumor (induction of both innate and adaptive immune responses) effects in TME which shows the TLRs dual role in opposition to each other (62, 232, 233). Both necrotic cancerous cells and damaged epithelial cells (with the normal condition) produce a considerable amount of DAMPs (e.g., adenosine triphosphate (ATP) molecules, heat shock proteins (HSPs such as HSPs 60 and 70), nucleic acids, uric acid, HMGB1, Ca²⁺ regulatory S100 family protein) within the TME. DAMPs are known as important inducers of TLRs which activate the chronic inflammatory signaling pathways within the TME, evoke regulatory T (T reg) cells, myeloid-derived suppressor cells (MDSC), and M2 MΦs as immunosuppressive response. In parallel with the activation of chronic inflammation within TME, the process of progression and development of the tumor is going on via immune cells and in particular with the participation of the TLRs (200, 234–236).

The chronic inflammation feature in TME makes TLRs an effective inducer of inflammatory responses through the NF-κB signaling pathway that promotes cancer cell stemness. In the following, the appearance of further cancer stem cells promotes the induction of NF-κB. This process results in the development and progression of tumors. In addition, the triggered TLRs within tumor cells activate a cascade of processes such as enhancement of tumor cells proliferation, anti-apoptosis feature, enhancement of tumor cells invasion, metalloproteinases- and integrins-mediated metastasis, activation of biosynthesis pathways of pro-inflammatory factors and immunosuppressive biomolecules, promotion of cytotoxic lymphocyte-resistant tumor cells and increase in immune evasion. As previous studies show, the interaction of molecules involved in cellular energy metabolism in tumor cells and tumor-infiltrating immune cells within TME are modulated by TLRs. Moreover, regulation of TME occurs via the ubiquitination feature within TLRs signaling pathways (227, 237–239).

On the other hand, TIME is known as the properties of inflammatory responses and the composition of immune cells within a tumor. TIME is classified into two categories infiltrative exclusion (I-E) TIME (recognized as cold tumor because of inactivation of adaptive immune responses) and infiltrative inflammatory (I-I) (recognized as hot tumor because of high invasion of PD-1 producing cytotoxic T-cells, and PD-L1 expressing leukocytes and tumor cells) (227, 231). As mentioned about TEM, the released DAMPs via necrotic cells may induce TLRs which results in immune cell activation within the TIME. The DAMPs including HMGB1, HSPs, S100 proteins, etc. induce inflammatory responses through the NF-κB signaling pathway. The aforementioned DAMPs comprising HMGB1, HSPs, and S100 proteins activate inflammatory responses through the NF-κB signaling pathway through triggering the TLRs. This feature results in the activation of immune suppressive cells into TIME. Hence, DAMPs are able to support and induction of immunosuppressive TIME. Our depth understanding of these mechanisms and biological activities represents a bright promise to obtain considerable strategies and solutions for effective and powerful immunotherapeutics in association with different types of cancers (240). The summary of the different TLRs expressing the various immune cells across the TME is depicted in Table 2.

TABLE 2

Table 2 Level of immune cell infiltration status mediated by the activation of TLRs in various cancers.

4 Sex-related TLRs (TLRs 7 and 8) in cancers

In accordance with sex chromosomal biology, men bear a paired chromosome of XY while the female gender possesses an XX chromosomal pair. Furthermore, in comparison with the Y chromosome the X chromosome bears a higher number of genes. This significant property of the X chromosome leads to the occurrence of two-folded copy numbers of the majority of X-dependent genes in women rather than men. Due to this knowledge, the overloaded number of X-linked genes is usually turned off to neutralize the imbalanced gene dosage in the cells of the female gender of mammals. This process is done through the activation of 1/2 of the female X chromosomes (243). In accordance with the reported results, in both mammals, humans, and mice, the TLR7 and TLR8 loci are located adjacent to each other. These genes are mapped to Xp22.3 and Xp22 (upon the short arm of the X chromosome), respectively. It seems that TLR7 and TLR8 genes are duplicated features rooted in a united ancestral gene (11, 54, 243, 244).

The capacity of the X chromosome is 155 Mb involving >1000 genes encoding miRNAs and proteins that contribute to immune responses. Recent reports reveal that in some cases e.g., B cells, monocytes, and plasmacytoid dendritic cells (pDCs) in women, TLR7 does not comply with the X chromosome inactivation rule (243). According to the reported results, a limited portion (10%) of X-linked genes bear inactivation codes in the form of variable patterns. This heterogeneity leads to variation in X-dependent gene expression in females. In other words, in some women, both of the alleles (copies) will be expressed while in some others only one of the alleles will be expressed and the other alleles will be inactivated (245, 246). Moreover, TLR7 and TLR8 together with TLR3 and 9 bind to viral ligands. Interestingly, TLR7 and TLR8 are bi-zonal glycoproteins and are known as cell-surface and intracellular TLRs (11).

The X chromosome bears a versatile of important genes (e.g., CD40 ligand (CD40L), C-X-C Motif Chemokine Receptor 3 (CXCR3), forkhead box P3 (FOXP3), TLR7 and TLR8) which apparently or hidden contribute to immune responses against microbial pathogens such as viruses (245, 247). As previous studies show, the highly conserved content of the mammalian X chromosome is an effective limitation for genetic exchanges between the X-gender chromosome and the autosomal ones. In this regard, X-linked inactivation is known as an effective regulatory feature to balance the likewise levels of X-linked genes both in male and female humans. Moreover, the upregulation of the X chromosome (about two folds) supports a determined balance between X chromosomal and autosomal gene expression. Thus the key genes that contribute to the immune system are not exchangeable between the X gender chromosome and the autosomal ones (245, 248). The inactivation of the X chromosome is known as an evolutionary mechanism for dosage equalization of gene expression in both gender of females and males; however, some genes including those that are involved in immune responses escape silencing. This feature may lead to an increase in the level of immunoprotein production in the female gender. Furthermore, the rate of mosaicism varies among female populations. These data explain why the level of expression of X-linked genes between females and males differ and even why the expression of these immune genes varies between female genders. In accordance with the reported results from previous investigations, the mosaicism feature in females is an advantage associated with deleterious mutations in X-linked genes and simultaneously provides a wide range of biological activities and immune responses among the mammalian female populations. Several X-linked genes involved in the immune system are recognized as genes with variable levels of expression in association with X chromosome inactivation. In this regard, important and key genes such as NF-κB activating protein (NKAP), IRAK1, and inhibitor of NF-κB kinase-γ (IKBKG) are recognized. As already discussed, the presence of clear variability in patterns of gene expression results in the induction of signaling pathways within the immune system which may lead to different immune responses both in female and male individuals (245, 246). According to the aforementioned characteristics of the X chromosome, any changes and alternations in DNA sequences and genes located on the X chromosome may lead to the occurrence of autoimmune diseases; therefore, ~80% of patients with autoimmune diseases belong to female individuals (249, 250).

4.1 Nucleic acid-sensing TLRs

Among 10 human TLRs (hTLRs), TLR3, 7, 8, 9, and 13 are recognized as nucleic acid (NA)-sensing (NAS) TLR glycoproteins. In this regard, a functional TLR3 is induced via a double-stranded RNA (dsRNA) while the TLR7 and TLR8 are activated through ssRNA fragments bearing determined and preferred sequences. In contrast to TLR3, 7, 8, and 9 as a NAS TLR is activated by single-stranded DNA-bearing motifs of unmethylated CpG. Thus, NAS TLRs are the body’s effective arsenal of weapons to identify viruses. All viruses encompass RNA or DNA molecules; the only detectable features by the human innate immune system are glycoproteins of NAS TLRs (10, 11, 251, 252). Although TLRs are useful weapons against strangers and pathogens, they sometimes are functional against the host’s self-NAs which results in a wide range of autoinflammatory disorders and autoimmune diseases e.g., systemic lupus erythematosus (SLE), rheumatoid arthritis, psoriasis, etc. (245, 251, 253).

The NAS TLRs with uncleaved ectodomains can bind to their related ligands. However, as per the previously reported results, the activation of NAS TLRs should be achieved through proteolytic cleavage processing. The proteolytic compartmentalization process of NAS TLRs ectodomains is performed by specific protease enzymes together with many others which may lead to the occurrence of effective responses by these immunoglycoproteins in the presence of their related ligands; because the proteolytic cleavage processing of NAS TLRs ectodomain provides a stable situation for TLR dimers and their activity in consequence (254–258). As reported results show, the proteolytic cleavage processing in NAS TLRs ectodomain structures is effectively done at acidic pH within the lysosomal and endosomal structures. Moreover, the trafficking process and the environment of the endoplasmic reticulum make NAS TLRs non-functional biomolecules. This condition decreases the induction of NAS TLRs activation against the host’s self-NAs. Among NAS TLRs, the ectodomain structures of TLR7 and TLR8 in the human body go through proteolytic cleavage processing in pH 7. This process is done via furin-like pro-protein convertase enzymes. Due to this knowledge, the activated structures of hTLR7 and hTLR8 occur out of the acidic environment of endosomes and/or lysosomes. Particularly, the hTLR7 and hTLR8 are early-activated NAS TLRs in human beings (245, 259, 260). The process of proteolytic cleavage in immunoglycoproteins of TLR7, 8, and 9 is performed at the Z-loop located on the extracellular ectodomain region between LRR14 and LRR15. The inactive form of TLR8 is dissimilar to TLR7 and 9 and the other hTLRS is in a dimeric form. The binding process of ligands to TLR8 active binding sites changes the spatial structure of inactive dimeric TLR8 into active dimeric TLR8 (261–263).

Up to now, four general mechanisms (e.g., internalization of NAs as ligands (through different mechanisms); NA digestion (NAs processing to generate ligands); NA digestion by nucleases such as DNA endonuclease of DNase I-like 3 (DNASE1L3) (as a negative regulator to decrease the NA ligands availability); physically ligand sequestration (out of the endosomal structures) are identified which mediates the ligand availability for NAS TLRs as an effective strategy against self- and non-self NAs (251).

In some cases, comprising macrophages (MΦs) and dendritic cells which are known as effective phagocytotic cells, the uptake of microorganisms is achieved easily; while in many other cells including B cells, the uptake of microorganisms and NAs (e.g., self-RNA and self-DNA) is associated with receptor-ligand interactions. In this regard, the TLR7 and 9 together with B cell receptors are involved in the synergistic activation of B cells associated with self-RNA and self-DNA forming immune complexes (251, 264, 265). In addition to the aforementioned cases, the antimicrobial peptide of LL37 which is also recognized as CAMP contributes to cellular uptake and complex formation constructed by self-RNA and self-DNA with LL37. This complex increases the endosomal uptake of condensed NAs and decreases the nuclease-related NAs degradation (As it happens when a protein like HMGB1 binds to self-NAs). In accordance with the reported results, the LL37, self-RNA, and self-DNA complexes induce the expression of IFN-I via TLR7 and 9 biomolecules in pDCs (251, 266–269).

As neutrophils are effective sources for the expression of LL37 at high levels and simultaneously are involved in extracellular traps. The LL37, self-RNA, and self-DNA complexes detect the neutrophil extracellular traps (NETs). The NETs are the probable main resource of self-NAs which are involved in psoriasis and SLE (267, 270, 271). Although the endosomal acidic environment leads to microbial lyses and the release of their NAs, some members of NAS TLRs including TLR8 are activated via nuclease-processed NAs. In this regard, it is presumed that RNase 2 and RNase T2 belonging to lysosomal endoribonucleases contribute to the recognition of TLR8-dependent RNA via cleaving the left nucleotides rather than uridine residues to generate specific TLR8 ligands obtained from some microbial RNAs pertaining to pathogenic microorganisms (272, 273).

The occurrence of mutations in DNASE1L3 results in SLE in children and autoimmunity development in mice that suffer from the lack of DNASE1L3. Both TLR7 as an RNA sensor and TLR9 are involved in this feature. The role of TLR7 as an RNA sensor may be associated with its ability to respond to deoxyguanosine or its contribution to a competition with the DNA sensor of TLR9 (274–280). TLR7 and 8 are activated by the short fragments of ssRNAs or single nucleosides. Thus, in the presence of these RNA biosensors application of nucleases to digest NAs into short fragments is not a logic solution to prevent the recognition of self-NAs (262, 263, 277, 281).

The NAS hTLRs similar to other hTLRs bear three sections in their structures including an intracellular or cytosolic domain of TIR, an extracellular domain of LRR, and a transmembrane helix. The process of ligand binding which is performed via the extracellular domain of TLR triggers TLR biomolecule to be dimerized and in consequence, the related downstream signaling pathways going to be activated. TLR7 can be activated by an ssRNA ligand, and it requires a single guanosine nucleoside molecule at the first binding site and a trimeric ssRNA with a uridine dimer at the second binding site to become activated. Therefore, similar to TLR8, TLR7 also contains two functional binding sites. In contrast to TLR7, TLR8 is activated by the presence of uridine within its first binding site and a dimeric molecule of uridine and guanosine within the TLR8 second binding site. These ligands have a synergistic effect on TLR8 activation (11, 251, 262, 263, 282).

In accordance with evolutional characteristics, TLR7 and 8 immunoglycoproteins have a high rate of homology in both their functional activities and structural sequences. Simultaneously, the first binding sites belonging to TLR7 and 8 are conserved and bind to a single nucleoside molecule; while the second binding site belonging to TLR7 has a synergistic effect on the function of the first binding site and has a different spatial structure rather than the second binding site in TLR8. However, the uridine of both TLR7 and 8 are also able to recognize imidazoquinoline compounds and guanosine analogs (e.g., 7-thia-8-oxoguanosine, 8-hydroxydeoxyguanosine, ioxoribine and deoxyguanosine) (11, 54, 262, 283). TLR7 and TLR8 bind to natural ligands e.g., hepatitis C virus ssRNA (284), HIV type-1 (HIV-1) ssRNA (285), and influenza A virus ssRNA (286).

5 TLRs as therapeutic targets for treating human cancers

As stated in the earlier sections, TLRs play a crucial role in maintaining immune homeostasis within the human body. An increase in the expression of TLRs or a positive modulation in the activation status of the TLRs leads to the hyperactivation of crucial transcription factors (NF-κB, AP-1, IRF-3) and secretion of several pro- and anti-inflammatory cytokines resulting in early innate responses and subsequent release of specific immune mediators. TLRs play a dual regulatory role in the TME by the induction of inflammatory responses within this area, which in turn contributes to immune cell infiltration, recruitment, and proliferation to escape the immune cells. On the other hand, the innate and adaptive responses elicited by the TLRs could regulate the anti-tumor activities. Recognition of activation mechanisms and computational simulation of molecular dynamics are efficient techniques to gain comprehensive insights into the structural and functional properties of proteins like TLRs, which in turn aid in designing effective drugs. Computational simulation of molecular dynamics represents a suitable illustration to understand the properties of interactions that can be occurred between receptors and their related ligands (262, 287–298). These significant data and information provide us with a promising opportunity to develop affordable, efficient, and straightforward therapeutic procedures in this field.

5.1 TLRs-binding molecules as therapeutic targets for treating human cancers

In the previous section, we have incorporated an overview of the roles of different TLRs in different human cancer subtypes. This highlights their possibility to play a critical regulatory role in chronic inflammation to induce immunosuppression and immune evasion of the tumor cells. Alternatively, TLRs can activate the M1 macrophages which drive antitumor responses through indirect antitumor activity, especially by direct cytotoxicity, antibody-dependent cell-mediated cytotoxicity (ADCC), and transactivating the CTLs (299). Overall, activation of TLR signaling presents a kind of balance between tumor-promoting and antitumor activity (300). Recognition of activation mechanisms and in-silico analyses are presently considered effective tools for an in-depth understanding of the structure-function relationship of TLRs to design effective natural/synthetic/semi-synthetic agonists or antagonist molecules (296). Many studies were focused on TLR agonists due to their easy clinical applications in cancer therapy. In fact, the adjuvant properties of TLR agonists in the activation of immune systems joint with the possibility to use them in combination with other anti-cancer treatments have shifted the attention to them instead of the antagonist molecules (300).

The response of the TLR-mediated and/or TLR-influenced signaling pathways has been found as the critical determinant in the success of TLR-based immunotherapy against cancers (229). However, the overt immune response in cancer and various autoimmune diseases directed the researchers to focus on several TLR antagonists for counteracting the overactivation of the TLR signaling cascade and thereby regulating the innate immunity (301). The TLR antagonists are mainly categorized into two different types, direct inhibitor and indirect inhibitor. Herein, the direct inhibitors are mainly the structural analogs of the TLR ligands/agonists and thereby compete with the TLR ligands to bind with the receptor and block the signaling cascade to alter the mode and intensity of the immune responses (302). While the indirect inhibitors are mainly the various anti-cancer agents that can hinder the activation of the TLR signaling pathways (302). Interestingly, a few published literatures are available regarding the investigation of the efficacy of TLR antagonists through preclinical/clinical trials for future use as therapeutic strategies against cancer. In the recent past, studies on several gut-related cancer types have documented the efficacy of a humanized anti- TLR2 antibody namely OPN-301 in suppressing the inflammation-driven tumorigenesis and proliferation of the gastric tumor cells in accordance with the downregulation of the expression of CXCL2 and TNF-α in murine model (303). Another small molecule inhibitor of TLR4 namely TAK-242 (Resatorvid) has been found to bind to the TIR domain of TLR4 to inhibit the downstream activation of the signaling molecules and transcription factors by hindering the interaction of TLR4 with TRAM and/or TIRAP (304). Studies have shown that TAK-242 have significant tumoricidal properties against breast cancer and ovarian carcinoma that majorly conferred through the regulation of the activation of NF-κB signaling pathways and expression of the p53-dependent apoptotic genes (305–307). Furthermore, this molecule can also reduce the enzymatic activity of MMPs and can block the transition of epithelial to mesenchyme for tumor formation in breast and ovarian tumor cells respectively (305–307). Interestingly, a naturally derived sesquiterpene lactone, Atractylenolide I (AO-1) has been screened for its excellent efficiency in inducing conformation change in TLR4-MD-2 complex resulting in the downregulation of the signaling molecules of MyD88-dependent NF-κB signaling axis (293). Downregulated NF-κB further contributes to reduce the secretion of IL-6, TGF-β1, VEGF, and IL-17A in tumor cell and increase the level of regulatory T cells that collectively inhibits the progression of epithelial ovarian cancer (308). Other TLR4 antagonists like paeonol (PAE) and CXC195 have shown promises as potential anti-cancer drugs that function through regulating the activation of the TLR4-MAPK/NF-κB pathway in human osteosarcoma as well as hepatocellular carcinoma as derived from their efficacy in cell culture experiments (309, 310). IMO-8400, an oligonucleotide-based antagonists of TLRs 7, 8, and 9 has also shown promising results in improving the severity of pathology of B-cell lymphoma types, especially resulted from L265P mutation in MyD88 (311, 312). This antagonist was found efficacious and safe in both phase I and II clinical trials conducted in the patients with different B-cell lymphoma types (312). However, Phase I trials with this compound on lymphoma patients (NCT02252146) and Waldenstrom’s macroglobulinemia (NCT02092909) were not satisfactory and hence terminated (303). Collectively, from the experimental and clinical trial data, TLR antagonists possess lower therapeutic potency in comparison to the agonists specifically treating the aggressive forms of various cancers. Ultimately, the function of these modulatory molecules for TLRs can be simplified to the concept that agonists serve as immunotherapeutic or vaccine adjuvants in the treatment of cancer, allergies, and infectious diseases, whereas antagonists hold potential as therapeutic approaches for addressing chronic inflammatory and autoimmune diseases (13).

5.1.1 TLR1/TLR2

One of the first agonists discovered for the TLR1/TLR2 heterodimer was the triacylated lipopeptide Pam3CSK4 that allowed to initiate the signaling cascade (313). Successively, the small molecule named CU-T12-9 (N-methyl-4-nitro-2-(4-(4-(trifluoromethyl)phenyl)-1H-imidazol-1-yl)aniline) was developed through a high-throughput screening (181). This molecule shows a considerable overlap between its binding pocket and the binding site for the amide-bound lipid of Pam3CSK4 (314). CU-T12-9 can form stable hydrogen bonds with TLR1 and facilitates TLR1/2 heterodimer formation through hydrophobic interactions (13). A similar binding mode as CU-T12-9 was observed with CU-CPT22 (3,4,6-Trihydroxy-2-methoxy-5-oxo-5H-benzocycloheptene-8-carboxylic acid hexyl ester) molecule that acts as an antagonist able to compete with Pam3CSK4 for binding to heterodimeric TLR1/2 complex. In addition to inhibiting TLR1/2 signaling, CU-CPT22 exerts no effect on other TLRs (315). After screening a synthetic library of 14,000 compounds, the small molecule SMU-Z1 (2-(1-(2-(Methylamino)-5-nitrophenyl)-1H-imidazol-4-yl)-5-(trifluoromethyl)phenol) was recently discovered as one of the newest agonists (248). This molecule shows a strong antitumor immunity against leukemia and could be a potential drug candidate for TLR2-mediated antitumor immunotherapies (316). In anti-tumor applications, the main TLR2 agonists are the Bacillus Calmette–Guerin (BCG), the OM-174, and SMP105 molecules and their functions are described in Table 3.

TABLE 3

Table 3 Agonists and antagonists of TLRs and their application as anticancer drugs.

5.1.2 TLR3

Agonists of TLR3 have the potential to be effective candidates for antitumor therapies as they can activate the adaptive immune system response (336). A unique candidate, CU-CPT4a was detected between 1.2 million compounds in a different database. Before this, no approval was given to small-molecule TLR3-binding. Molecular docking analysis showed different binding points of CU-CPT4a with TLRs characterized by the presence of asparagine residues (337). Amongst the various agonist molecules used in anti-cancer therapy, the most known molecules are the Poly(I:C), Poly(I:C)12U, and poly-IC : LC which have shown encouraging results in inducing tumoricidal responses alone and in combination with radio- and chemo-therapy (338).

5.1.3 TLR4

Since TLR4 is potentially the most efficacious PRR in regulating the growth and progression of various cancers, several TLR4-modulating molecules have been developed so far. In this context, TLR4 adjuvants are the primary contributors for developing various vaccine candidates (339). The US-FDA has already approved the use of BCG as an initiator for the TLR4 signaling pathway to generate anti-tumor immune responses against various types of cancers (340). BCG targets the binding of LPS to the hydrophobic pocket of MD2, preventing the dimerization of TLR4, and hindering the activation of the TLR4 signaling pathway (7). In this direction, bacterial derivatives such as E. coli-derived lipid A (OM-174) as potential therapeutic candidates are under the clinical trial phase for elucidating the TLR4-induced immune response against melanoma (6). Other TLR4 agonists like monophosphoryl lipid-A trigger the activation of TLR4 and are used as a therapeutic agent against lung carcinoma (341). TLR4 initiates an intracellular signaling cascade and activates cytoplasmic signaling pathways, ultimately resulting in the expression of PDL-1 (programmed death ligand-1). This creates an anti-inflammatory response that helps to cease the metastasis. In addition, the expression of TLR4 can influence the proliferation patterns in cancer stem cells and glioblastoma multiforme cells (342).

5.1.4 TLR5

Flagellin, a TLR5 agonist, is widely used in anti-cancer treatment. Studies by Sfondrini et al. (343) have shown that the generation of TLR5-flagellin nanoparticles imparts anti-tumor function in an experimental animal model of cancer. In breast cancer, the TLR5 agonist activates the intrinsic signaling pathway leading to the upregulation of IFN-γ and IL-4 population and lowering of the proportion of regulatory T cells that results in cell proliferation and suppressing the tumor growth (343).

5.1.5 TLR7/8/9

Agonists designed against the intracellular TLRs viz., TLR7, 8, and 9 play an important role in modulating the signaling pathways involved in the development of cancer. Among all the intracellular TLRs, TLR7/8 has the highest immunomodulatory effects. They are activated concurrently through the binding of ligands recognizing the ssRNAs. The most important and well-evident agonists of TLR7/8 include the guanine analogs like imiquimod. It has the potential for restoring the functional efficiency of effector T cells, and NK cells in the therapy against non-melanoma skin cancer. US-FDA and European Medicine Agency (EMA) have already approved the application of the imiquimod-based cream Aldara for the treatment of basal cell carcinoma. A study by Liang et al. (344) demonstrated the development of a novel adjuvant using the neoantigen peptides that are released form the colon cancer cell line for cancer immunotherapy. These peptides were charged with the consecutive application of positively charged lysine to generate a cationic polypeptide that shows affinity with TLR9 agonist CpG oligodeoxynucleotides (202).

In the aforementioned sections, we have discussed about the efficacy of different classes of natural/synthetic compounds as agonists and/or antagonists of TLRs in the context of developing anti-cancer therapeutics. Most of the compounds/peptides showing adequate efficacy in cell line and animal models have been tested for their therapeutic promise in humans through different phases of clinical trials. We have noted that the TLR agonists exhibit better efficacy and safety as an anti-cancer agent as compared to the antagonists. Taking this into the consideration, the current status of various TLR agonists active and/or recruited in the different clinical trials are listed in Table 4. These trials suggest that these compounds/peptides can effectively induce the expression of pro-inflammatory cytokines and stimulate the influx of effector T cells into or around the tumor(s) by activating the TLRs-mediated signaling circuit transforming “cold tumors” into “hot tumors”. However, in terms of acceptability and safety of application, several TLR agonists decipher a number of side-effects like flu-like symptoms, allergic reaction, fatigue, and decreased blood counts (345).

TABLE 4

Table 4 Status of clinical trials with TLR agonists for therapeutic intervention of human cancers.

6 Advantages and limitations

Being TLRs the crucial components of innate immunity as well as adaptive immunity, TLR-based therapeutic approaches have both positive and negative impacts. Selective targeting of different TLRs with small molecules, chemical compounds, nanomaterials, peptides, and antibodies can satisfactorily inhibit TLR-driven inflammatory processes that are generally associated with cancer-associated inflammation and metastasis (35, 114, 317). At the same time, targeted stimulation of TLR activity can give rise to sensitized tumor-associated macrophages and cytotoxic T cells that kill cancer cells. However, the dose and duration of the treatment are the two most important criteria for obtaining beneficial outcomes. As the perturbation of TLR activity results in immune homeostasis disruption, this could be detrimental for the recipient. Nowadays, phytochemical-derived or natural products-inspired pharmacophores are employed in clinical trials. These molecules can fine-tune TLR activity in humans and restrict the growth of tumors without hampering the immune homeostasis of the recipient (346). Also, TLR polymorphism is one of the crucial genetic components in regulating the outcomes of different cancers. However, most of the studies reported so far were conducted with a limited number of participants. Therefore, to get meaningful conclusions about the influence of different TLR polymorphisms a higher number of study participants/subjects should be involved.

7 Future perspective and conclusion

TLRs are crucial components in the process of immunomodulation and immunotherapeutics against different cancers. In this review, we have comprehensively presented the overall role of TLRs in the pathogenesis of different cancers and their role in the development of anti-cancer therapy. As crucial host receptors and immune sensors in the innate immune system, targeting the activity of TLRs through chemo- and immunotherapies can be a promising approach for treating the pathological manifestations of various cancers, especially the inflammatory pathologies associated with metastasis and angiogenesis. Uncovering new polymorphic variants of TLRs and their association with increasing the risk of cancer and/or conferring protection against the same has been a pathbreaking achievement in recent times. Given the highly interconnected nature of TLRs and their signaling pathways, as well as their association with numerous physiological functions within the human body, it is crucial to adopt a precise targeting approach, otherwise, the treatment may cause fatal outcomes. In this direction, our study explores the yin and yang of TLRs in the progression of cancer to therapeutic intervention. In addition, the study of TLR networks of interaction could enhance our comprehension of TLR’s intimate functions. Activation of the TLR by administrating various agonists resulting in the downstream signaling cascade can potentially covert the “cold tumors” into “hot tumors” that can promote activities of various immune checkpoint inhibitors to mitigate the tumor (345). Several novel TLR agonists are being investigated as monotherapy, chemotherapy, and vaccine adjuvants in different patients with a range of cancers due to their potential to induce direct anti-tumor responses as well as to increase the clinical efficacy of the existing immunotherapeutic drugs. However, there are only a few publications and trials on the role of TLR antagonists as anti-cancer agents are available in the public domain. However, based on the available data, TLR agonists are found to be more efficacious than that of antagonists. Furthermore, the use of advanced tools (e.g., caging strategies, molecular dynamics, appropriate gene expression tools, and multiomics analyses at the genomics, transcriptome, and proteome levels), can provide further insight into the dynamics of TLR signaling. This comprehensive approach could significantly advance our understanding of the role of TLRs in diseases and their potential as prognostic markers (347–349). This review article is therefore expected to provide a wealth of information to the scientific communities to improve the understanding of the use of TLR-directed therapeutic strategy in combating different human cancers and to promote this strategy for field application to save the lives of unfortunate patients. A scheme on the possible approach for TLR directed chemo- and immunotherapy has been given as Figure 2.

FIGURE 2

Figure 2 Scheme depicting the possible routes of chemotherapeutic/immunotherapeutic intervention of cancers through selection of appropriate TLR(s) and their pattern of expression.

Author contributions

SM and PB conceived and planned the study and organized the manuscript. SM, RP, PB, AP, and MS performed a literature search and prepared the first draft of the manuscript. SM, RP, AP, and MS illustrated the picture. SM, PB, AP, AM, and MS provided expert input, discussed the conception of the review, and contributed to the final manuscript edition and preparation. SM, PB, and MS supervised the manuscript. All authors contributed to the article and approved the submitted version.

Funding

SM and RP acknowledge DST-SERB-CRG, Govt. of India (Sanction no. CRG/2021/002605) for awarding the research grant to SM and Junior Research Fellowship to RP. This work was supported by the Italian Ministry of Health with Current Research funds. We would also like to thank the Italian Ministry of Health for funding (Ricerca 5 × 1,000 to AM and AP and Ricerca Finalizzata Starting Grant SG-2018-12365432 to MS).

Acknowledgments

We acknowledge the use of Biorender.com for making the illustrations. We respectfully acknowledge all the uncited articles which could not have been cited due to space limitations.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Glossary

References

1. Cancer. World Heal Organ. Available at: https://www.who.int/health-topics/cancer (Accessed April 11, 2022).

Google Scholar

2. Risk Factors for Cancer - National Cancer Institute. Available at: https://www.cancer.gov/about-cancer/causes-prevention/risk (Accessed April 11, 2022).

Google Scholar

3. Cancer Fact Sheet. World Heal Organ. Available at: https://www.who.int/news-room/fact-sheets/detail/cancer (Accessed April 11, 2022).

Google Scholar

4. Behzadi P. Toll-like receptor (TLR) polymorphisms in prostate cancer. Genet Polymorphism Disease (2022), 379–99. doi: 10.1201/9781003246244-17

CrossRef Full Text | Google Scholar

5. Urban-Wojciuk Z, Khan MM, Oyler BL, Fåhraeus R, Marek-Trzonkowska N, Nita-Lazar A, et al. The role of TLRs in anti-cancer immunity and tumor rejection. Front Immunol (2019) 10. doi: 10.3389/fimmu.2019.02388

CrossRef Full Text | Google Scholar

6. Javaid N, Choi S. Toll-like receptors from the perspective of cancer treatment. Cancers (Basel) (2020) 12:297. doi: 10.3390/cancers12020297

CrossRef Full Text | Google Scholar

7. Patra R, Das NC, Mukherjee S. Toll-like receptors (TLRs) as therapeutic targets for treating SARS-coV-2: an immunobiological perspective. Adv Exp Med Biol (2021) 1352:87–109. doi: 10.1007/978-3-030-85109-5_6

CrossRef Full Text | Google Scholar

8. Mukherjee S, Karmakar S, Babu SPS. TLR2 and TLR4 mediated host immune responses in major infectious diseases: a review. Braz J Infect Dis (2016) 20:193–204. doi: 10.1016/j.bjid.2015.10.011

CrossRef Full Text | Google Scholar

9. Mukherjee S, Huda S, Sinha Babu SP. Toll-like receptor polymorphism in host immune response to infectious diseases: A review. Scand J Immunol (2019) 90:e12771. doi: 10.1111/sji.12771

CrossRef Full Text | Google Scholar

10. Behzadi E, Behzadi P. The role of toll-like receptors (TLRs) in urinary tract infections (UTIs). Cent Eur J Urol (2016) 69:404–10. doi: 10.5173/ceju.2016.871

CrossRef Full Text | Google Scholar

11. Behzadi P, García-Perdomo HA, Karpiński TM. Toll-like receptors: general molecular and structural biology. J Immunol Res (2021) 2021:9914854. doi: 10.1155/2021/9914854

CrossRef Full Text | Google Scholar

12. Behzadi P, Sameer AS, Nissar S, Banday MZ, Gajdács M, García-Perdomo HA, et al. The interleukin-1 (IL-1) superfamily cytokines and their single nucleotide polymorphisms (SNPs). J Immunol Res (2022) 2022:2054431. doi: 10.1155/2022/2054431

CrossRef Full Text | Google Scholar

13. Wang Y, Zhang S, Li H, Wang H, Zhang T, Hutchinson MR, et al. Small-molecule modulators of toll-like receptors. Acc Chem Res (2020) 53:1046–55. doi: 10.1021/acs.accounts.9b00631

CrossRef Full Text | Google Scholar

14. Choudhury A, Das NC, Patra R, Mukherjee S. In silico analyses on the comparative sensing of SARS-CoV-2 mRNA by the intracellular TLRs of humans. J Med Virol (2021) 93:2476–86. doi: 10.1002/jmv.26776

CrossRef Full Text | Google Scholar

15. Patra R, Chandra Das N, Mukherjee S. Targeting human TLRs to combat COVID-19: A solution? J Med Virol (2021) 93:615–7. doi: 10.1002/jmv.26387

CrossRef Full Text | Google Scholar

16. Mukherjee S, Karnam A, Das M, Babu SPS, Bayry J. Wuchereria bancrofti filaria activates human dendritic cells and polarizes T helper 1 and regulatory T cells via toll-like receptor 4. Commun Biol (2019) 2:1–11. doi: 10.1038/s42003-019-0392-8

CrossRef Full Text | Google Scholar

17. Mukherjee S, Mukherjee S, Maiti TK, Bhattacharya S, Sinha Babu SP. A novel ligand of Toll-like receptor 4 from the sheath of Wuchereria bancrofti microfilaria induces proinflammatory response in macrophages. J Infect Dis (2017) 215:954–65. doi: 10.1093/infdis/jix067

CrossRef Full Text | Google Scholar

18. Deguine J, Barton GM. MyD88: a central player in innate immune signaling. F1000Prime Rep (2014) 6:97. doi: 10.12703/P6-97

CrossRef Full Text | Google Scholar

19. Zheng C, Chen J, Chu F, Zhu J, Jin T. Inflammatory role of TLR-myD88 signaling in multiple sclerosis. Front Mol Neurosci (2020) 12. doi: 10.3389/fnmol.2019.00314

CrossRef Full Text | Google Scholar

20. Chen L, Zheng L, Chen P, Liang G. Myeloid differentiation primary response protein 88 (MyD88): the central hub of TLR/IL-1R signaling. J Med Chem (2020) 63:13316–29. doi: 10.1021/acs.jmedchem.0c00884

CrossRef Full Text | Google Scholar

21. Wang L, Yu K, Zhang X, Yu S. Dual functional roles of the MyD88 signaling in colorectal cancer development. BioMed Pharmacother (2018) 107:177–84. doi: 10.1016/j.biopha.2018.07.139

CrossRef Full Text | Google Scholar

22. Zhu G, Cheng Z, Huang Y, Zheng W, Yang S, Lin C, et al. MyD88 mediates colorectal cancer cell proliferation, migration and invasion via NF−κB/AP−1 signaling pathway. Int J Mol Med (2020) 45:131–40. doi: 10.3892/ijmm.2019.4390

CrossRef Full Text | Google Scholar

23. Wu S, Zhu W, Thompson P, Hannun YA. Evaluating intrinsic and non-intrinsic cancer risk factors. Nat Commun (2018) 9:3490. doi: 10.1038/s41467-018-05467-z

CrossRef Full Text | Google Scholar

24. Behzadi P, Behzadi E, Alavian SM. DNA microarray technology in HBV genotyping. Minerva Med (2017) 108:473–6. doi: 10.23736/S0026-4806.17.05059-5

CrossRef Full Text | Google Scholar

25. Elagan SK, Almalki SJ, Alharthi MR, Mohamed MS, El-Badawy MF. Role of bacteria in the incidence of common GIT cancers: the dialectical role of integrated bacterial DNA in human carcinogenesis. Infect Drug Resist (2021) 14:2003–14. doi: 10.2147/IDR.S309051

CrossRef Full Text | Google Scholar

26. Sarshar M, Scribano D, Marazzato M, Ambrosi C, Aprea MR, Aleandri M, et al. Genetic diversity, phylogroup distribution and virulence gene profile of pks positive Escherichia coli colonizing human intestinal polyps. Microb Pathog (2017) 112:274–8. doi: 10.1016/j.micpath.2017.10.009

CrossRef Full Text | Google Scholar

27. Ambrosi C, Sarshar M, Aprea MR, Pompilio A, Di Bonaventura G, Strati F, et al. Colonic adenoma-associated Escherichia coli express specific phenotypes. Microbes Infect (2019) 21:305–12. doi: 10.1016/j.micinf.2019.02.001

CrossRef Full Text | Google Scholar

28. Polk DB, Peek RM. Helicobacter pylori: gastric cancer and beyond. Nat Rev Cancer (2010) 10:403–14. doi: 10.1038/nrc2857

CrossRef Full Text | Google Scholar

29. Padma S, Patra R, Sen Gupta PS, Panda SK, Rana MK, Mukherjee S. Cell surface fibroblast activation protein-2 (Fap2) of fusobacterium nucleatum as a vaccine candidate for therapeutic intervention of human colorectal cancer: an immunoinformatics approach. Vaccines (2023) 11:525. doi: 10.3390/vaccines11030525

CrossRef Full Text | Google Scholar

30. Behzadi P, Ranjbar R, Alavian SM. Nucleic Acid-based approaches for detection of viral hepatitis. Jundishapur J Microbiol (2015) 8:e17449. doi: 10.5812/jjm.17449

CrossRef Full Text | Google Scholar

31. de Martel C, Georges D, Bray F, Ferlay J, Clifford GM. Global burden of cancer attributable to infections in 2018: a worldwide incidence analysis. Lancet Glob Heal (2020) 8:e180–90. doi: 10.1016/S2214-109X(19)30488-7

CrossRef Full Text | Google Scholar

32. Babakanrad E, Mohammadian T, Esmaeili D, Behzadi P. Studying the effect of gene fusion of A and C types capsular synthesizing enzymes and anticancer sequence on inducing the expression of apoptotic BCL-2, BAX, and Caspase-3 genes by Real-time RT-PCR method. Heliyon (2023) 9:e16326–6. doi: 10.1016/j.heliyon.2023.e16326

CrossRef Full Text | Google Scholar

33. IARC: home. Available at: https://www.iarc.who.int/ (Accessed April 11, 2022).

Google Scholar

34. Muccioli M, Benencia F. Toll-like receptors in ovarian cancer as targets for immunotherapies. Front Immunol (2014) 5:341. doi: 10.3389/fimmu.2014.00341

CrossRef Full Text | Google Scholar

35. Qu J, Hou Z, Han Q, Zhang C, Tian Z, Zhang J. Poly(I:C) exhibits an anti-cancer effect in human gastric adenocarcinoma cells which is dependent on RLRs. Int Immunopharmacol (2013) 17:814–20. doi: 10.1016/j.intimp.2013.08.013

CrossRef Full Text | Google Scholar

36. Farias A, Soto A, Puttur F, Goldin CJ, Sosa S, Gil C, et al. A TLR4 agonist improves immune checkpoint blockade treatment by increasing the ratio of effector to regulatory cells within the tumor microenvironment. Sci Rep (2021) 11:15406. doi: 10.1038/s41598-021-94837-7

CrossRef Full Text | Google Scholar

37. Hattar K, Savai R, Subtil FSB, Wilhelm J, Schmall A, Lang DS, et al. Endotoxin induces proliferation of NSCLC in vitro and in vivo: role of COX-2 and EGFR activation. Cancer Immunol Immunother (2013) 62:309–20. doi: 10.1007/s00262-012-1341-2

CrossRef Full Text | Google Scholar

38. Mukherjee S. Toll-like receptor 4 in COVID-19: friend or foe? Future Virol (2022) 17:415–7. doi: 10.2217/fvl-2021-0249

CrossRef Full Text | Google Scholar

39. Pradere J-P, Dapito DH, Schwabe RF. The Yin and Yang of Toll-like receptors in cancer. Oncogene (2014) 33:3485–95. doi: 10.1038/onc.2013.302

CrossRef Full Text | Google Scholar

40. Le Noci V, Bernardo G, Bianchi F, Tagliabue E, Sommariva M, Sfondrini L. Toll like receptors as sensors of the tumor microbial dysbiosis: implications in cancer progression. Front Cell Dev Biol (2021) 9. doi: 10.3389/fcell.2021.732192

CrossRef Full Text | Google Scholar

41. Medzhitov R, Preston-Hurlburt P, Janeway CA. A human homologue of the Drosophila Toll protein signals activation of adaptive immunity. Nature (1997) 388:394–7. doi: 10.1038/41131

CrossRef Full Text | Google Scholar

42. Das NC, Sen Gupta PS, Biswal S, Patra R, Rana MK, Mukherjee S. In-silico evidences on filarial cystatin as a putative ligand of human TLR4. J Biomol Struct Dyn (2022) 40:8808–24. doi: 10.1080/07391102.2021.1918252

CrossRef Full Text | Google Scholar

43. Das NC, Patra R, Sen GPS, Ghosh P, Bhattacharya M, MK R, et al. Designing of a novel multi-epitope peptide based vaccine against Brugia malayi: An in silico approach. Infect Genet Evol (2021) 87:104633. doi: 10.1016/j.meegid.2020.104633

CrossRef Full Text | Google Scholar

44. Chakraborty P, Aravindhan V, Mukherjee S. Helminth-derived biomacromolecules as therapeutic agents for treating inflammatory and infectious diseases: What lessons do we get from recent findings? Int J Biol Macromol (2023) 241:124649. doi: 10.1016/j.ijbiomac.2023.124649

CrossRef Full Text | Google Scholar

45. Sameer AS, Nissar S. Toll-like receptors (TLRs): structure, functions, signaling, and role of their polymorphisms in colorectal cancer susceptibility. BioMed Res Int (2021) 2021:1157023. doi: 10.1155/2021/1157023

CrossRef Full Text | Google Scholar

46. Mokhtari Y, Pourbagheri-Sigaroodi A, Zafari P, Bagheri N, Ghaffari SH, Bashash D. Toll-like receptors (TLRs): An old family of immune receptors with a new face in cancer pathogenesis. J Cell Mol Med (2021) 25:639–51. doi: 10.1111/jcmm.16214

CrossRef Full Text | Google Scholar

47. Wang L, Zhu R, Huang Z, Li H, Zhu H. Lipopolysaccharide-induced toll-like receptor 4 signaling in cancer cells promotes cell survival and proliferation in hepatocellular carcinoma. Dig Dis Sci (2013) 58:2223–36. doi: 10.1007/s10620-013-2745-3

CrossRef Full Text | Google Scholar

48. Mukherjee S, Joardar N, Mondal S, Schiefer A, Hoerauf A, Pfarr K, et al. Quinolone-fused cyclic sulfonamide as a novel benign antifilarial agent. Sci Rep (2018) 8:12073. doi: 10.1038/s41598-018-30610-7

CrossRef Full Text | Google Scholar

49. Das NC, Chakraborty P, Nandy S, Dey A, Malik T, Mukherjee S. Programmed cell death pathways as targets for developing antifilarial drugs: Lessons from the recent findings. J Cell Mol Med (2023) 0:1–22. doi: 10.1111/jcmm.17913. n/a.

CrossRef Full Text | Google Scholar

50. Wong RSY. Apoptosis in cancer: from pathogenesis to treatment. J Exp Clin Cancer Res (2011) 30:87. doi: 10.1186/1756-9966-30-87

CrossRef Full Text | Google Scholar

51. Li T-T, Ogino S, Qian ZR. Toll-like receptor signaling in colorectal cancer: carcinogenesis to cancer therapy. World J Gastroenterol (2014) 20:17699–708. doi: 10.3748/wjg.v20.i47.17699

CrossRef Full Text | Google Scholar

52. Akira S, Takeda K. Toll-like receptor signalling. Nat Rev Immunol (2004) 4:499–511. doi: 10.1038/nri1391

CrossRef Full Text | Google Scholar

53. Du B, Jiang Q-L, Cleveland J, Liu B-R, Zhang D. Targeting Toll-like receptors against cancer. J Cancer Metastasis Treat (2016) 2:463–70. doi: 10.20517/2394-4722.2016.62

CrossRef Full Text | Google Scholar

54. Behzadi P. “The Role of Toll-Like Receptor (TLR) Polymorphisms in Urinary Bladder Cancer BT - Genetic Polymorphism and cancer susceptibility.,”. Sameer AS, Banday MZ, Nissar S, editors. Singapore: Springer Singapore (2021) p. 281–317. doi: 10.1007/978-981-33-6699-2_9

CrossRef Full Text | Google Scholar

55. Chen X, Zhang Y, Fu Y. The critical role of Toll-like receptor-mediated signaling in cancer immunotherapy. Med Drug Discovery (2022) 14:100122. doi: 10.1016/j.medidd.2022.100122

CrossRef Full Text | Google Scholar

56. Behzadi P, Gajdács M. Writing a strong scientific paper in medicine and the biomedical sciences: a checklist and recommendations for early career researchers. Biol Futur (2021) 72:395–407. doi: 10.1007/s42977-021-00095-z

CrossRef Full Text | Google Scholar

57. Classification of brain tumors. Available at: https://www.aans.org/en/Media/Classifications-of-Brain-Tumors (Accessed April 11, 2022).

Google Scholar

58. Moretti IF, Franco DG, de Almeida Galatro TF, Oba-Shinjo SM, Marie SKN. Plasmatic membrane toll-like receptor expressions in human astrocytomas. PloS One (2018) 13:e0199211. doi: 10.1371/journal.pone.0199211

CrossRef Full Text | Google Scholar

59. Friedmann-Morvinski D, Narasimamurthy R, Xia Y, Myskiw C, Soda Y, Verma IM. Targeting NF-κB in glioblastoma: A therapeutic approach. Sci Adv (2016) 2:e1501292. doi: 10.1126/sciadv.1501292

CrossRef Full Text | Google Scholar

60. Vinnakota K, Hu F, Ku M-C, Georgieva PB, Szulzewsky F, Pohlmann A, et al. Toll-like receptor 2 mediates microglia/brain macrophage MT1-MMP expression and glioma expansion. Neuro Oncol (2013) 15:1457–68. doi: 10.1093/neuonc/not115

CrossRef Full Text | Google Scholar

61. Hu F, Dzaye OD, Hahn A, Yu Y, Scavetta RJ, Dittmar G, et al. Glioma-derived versican promotes tumor expansion via glioma-associated microglial/macrophages Toll-like receptor 2 signaling. Neuro Oncol (2015) 17:200–10. doi: 10.1093/neuonc/nou324

CrossRef Full Text | Google Scholar

62. Xun Y, Yang H, Kaminska B, You H. Toll-like receptors and toll-like receptor-targeted immunotherapy against glioma. J Hematol Oncol (2021) 14:176. doi: 10.1186/s13045-021-01191-2

CrossRef Full Text | Google Scholar

63. da Cruz LLP, de Souza PO, Dal Prá M, Falchetti M, de Abreu AM, Azambuja JH, et al. TLR4 expression and functionality are downregulated in glioblastoma cells and in tumor-associated macrophages: A new mechanism of immune evasion? Biochim Biophys Acta Mol basis Dis (2021) 1867:166155. doi: 10.1016/j.bbadis.2021.166155

CrossRef Full Text | Google Scholar

64. Hume DA. The many alternative faces of macrophage activation. Front Immunol (2015) 6:370. doi: 10.3389/fimmu.2015.00370

CrossRef Full Text | Google Scholar

65. Gao C, Kozlowska A, Nechaev S, Li H, Zhang Q, Hossain DMS, et al. TLR9 signaling in the tumor microenvironment initiates cancer recurrence after radiotherapy. Cancer Res (2013) 73:7211–21. doi: 10.1158/0008-5472.CAN-13-1314

CrossRef Full Text | Google Scholar

66. Herrmann A, Cherryholmes G, Schroeder A, Phallen J, Alizadeh D, Xin H, et al. TLR9 is critical for glioma stem cell maintenance and targeting. Cancer Res (2014) 74:5218–28. doi: 10.1158/0008-5472.CAN-14-1151

CrossRef Full Text | Google Scholar

67. Zang J, Zheng M-H, Cao X-L, Zhang Y-Z, Zhang Y-F, Gao X-Y, et al. Adenovirus infection promotes the formation of glioma stem cells from glioblastoma cells through the TLR9/NEAT1/STAT3 pathway. Cell Commun Signal (2020) 18:135. doi: 10.1186/s12964-020-00598-7

CrossRef Full Text | Google Scholar

68. Rivera-Luna R, Correa-González C, Altamirano-Alvarez E, Sánchez-Zubieta F, Cárdenas-Cardós R, Escamilla-Asian G, et al. Incidence of childhood cancer among Mexican children registered under a public medical insurance program. Int J Cancer (2013) 132:1646–50. doi: 10.1002/ijc.27771

CrossRef Full Text | Google Scholar

69. Eberhart CG, Kepner JL, Goldthwaite PT, Kun LE, Duffner PK, Friedman HS, et al. Histopathologic grading of medulloblastomas: a Pediatric Oncology Group study. Cancer (2002) 94:552–60. doi: 10.1002/cncr.10189

CrossRef Full Text | Google Scholar

70. Alvarez-Arellano L, Eguía-Aguilar P, Piña-Sánchez P, González-García N, Palma-Guzman A, Perezpeña-Diazconti M, et al. High expression of Toll-like receptor 7 is a survival factor in pediatric medulloblastoma. Child’s Nerv Syst ChNS Off J Int Soc Pediatr Neurosurg (2021) 37:3743–52. doi: 10.1007/s00381-021-05347-w

CrossRef Full Text | Google Scholar

71. Sharma Y, Bala K. Role of Toll like receptor in progression and suppression of oral squamous cell carcinoma. Oncol Rev (2020) 14:456. doi: 10.4081/oncol.2020.456

CrossRef Full Text | Google Scholar

72. Ng LK, Rich AM, Hussaini HM, Thomson WM, Fisher AL, Horne LS, et al. Toll-like receptor 2 is present in the microenvironment of oral squamous cell carcinoma. Br J Cancer (2011) 104:460–3. doi: 10.1038/sj.bjc.6606057

CrossRef Full Text | Google Scholar

73. Zeljic K, Supic G, Jovic N, Kozomara R, Brankovic-Magic M, Obrenovic M, et al. Association of TLR2, TLR3, TLR4 and CD14 genes polymorphisms with oral cancer risk and survival. Oral Dis (2014) 20:416–24. doi: 10.1111/odi.12144

CrossRef Full Text | Google Scholar

74. Szczepanski MJ, Czystowska M, Szajnik M, Harasymczuk M, Boyiadzis M, Kruk-Zagajewska A, et al. Triggering of Toll-like receptor 4 expressed on human head and neck squamous cell carcinoma promotes tumor development and protects the tumor from immune attack. Cancer Res (2009) 69:3105–13. doi: 10.1158/0008-5472.CAN-08-3838

CrossRef Full Text | Google Scholar

75. Diakowska D, Nienartowicz M, Grabowski K, Rosińczuk J, Krzystek-Korpacka M. Toll-like receptors TLR-2, TLR-4, TLR-7, and TLR-9 in tumor tissue and serum of the patients with esophageal squamous cell carcinoma and gastro-esophageal junction cancer. Adv Clin Exp Med Off Organ Wroclaw Med Univ (2019) 28:515–22. doi: 10.17219/acem/87012

CrossRef Full Text | Google Scholar

76. Han S, Xu W, Wang Z, Qi X, Wang Y, Ni Y, et al. Crosstalk between the HIF-1 and Toll-like receptor/nuclear factor-κB pathways in the oral squamous cell carcinoma microenvironment. Oncotarget (2016) 7:37773–89. doi: 10.18632/oncotarget.9329

CrossRef Full Text | Google Scholar

77. Kauppila JH, Selander KS. Toll-like receptors in esophageal cancer. Front Immunol (2014) 5:200. doi: 10.3389/fimmu.2014.00200

CrossRef Full Text | Google Scholar

78. Huhta H, Helminen O, Lehenkari PP, Saarnio J, Karttunen TJ, Kauppila JH. Toll-like receptors 1, 2, 4 and 6 in esophageal epithelium, Barrett’s esophagus, dysplasia and adenocarcinoma. Oncotarget (2016) 7:23658–67. doi: 10.18632/oncotarget.8151

CrossRef Full Text | Google Scholar

79. Sheyhidin I, Nabi G, Hasim A, Zhang R-P, Ainiwaer J, Ma H, et al. Overexpression of TLR3, TLR4, TLR7 and TLR9 in esophageal squamous cell carcinoma. World J Gastroenterol (2011) 17:3745–51. doi: 10.3748/wjg.v17.i32.3745

CrossRef Full Text | Google Scholar

80. Kohtz PD, Halpern AL, Eldeiry MA, Hazel K, Kalatardi S, Ao L, et al. Toll-like receptor-4 is a mediator of proliferation in esophageal adenocarcinoma. Ann Thorac Surg (2019) 107:233–41. doi: 10.1016/j.athoracsur.2018.08.014

CrossRef Full Text | Google Scholar

81. Kauppila JH, Takala H, Selander KS, Lehenkari PP, Saarnio J, Karttunen TJ. Increased Toll-like receptor 9 expression indicates adverse prognosis in oesophageal adenocarcinoma. Histopathology (2011) 59:643–9. doi: 10.1111/j.1365-2559.2011.03991.x

CrossRef Full Text | Google Scholar

82. Palumbo A, Meireles Da Costa N, Pontes B, Leite de Oliveira F, Lohan Codeço M, Ribeiro Pinto LF, et al. Esophageal cancer development: crucial clues arising from the extracellular matrix. Cells (2020) 9:455. doi: 10.3390/cells9020455

CrossRef Full Text | Google Scholar

83. Takala H, Kauppila JH, Soini Y, Selander KS, Vuopala KS, Lehenkari PP, et al. Toll-like receptor 9 is a novel biomarker for esophageal squamous cell dysplasia and squamous cell carcinoma progression. J Innate Immun (2011) 3:631–8. doi: 10.1159/000329115

CrossRef Full Text | Google Scholar

84. Gu J, Liu Y, Xie B, Ye P, Huang J, Lu Z. Roles of toll-like receptors: From inflammation to lung cancer progression. BioMed Rep (2018) 8:126–32. doi: 10.3892/br.2017.1034

CrossRef Full Text | Google Scholar

85. Choudhury A, Das NC, Patra R, Bhattacharya M, Ghosh P, Patra BC, et al. Exploring the binding efficacy of ivermectin against the key proteins of SARS-CoV-2 pathogenesis: an in silico approach. Future Virol (2021) 16:277–91. doi: 10.2217/fvl-2020-0342

CrossRef Full Text | Google Scholar

86. Das CN, Labala KR, Patra R, Chattoraj A, Mukherjee S. In silico identification of new anti-SARS-coV-2 agents from bioactive phytocompounds targeting the viral spike glycoprotein and human TLR4. Lett Drug Des Discovery (2022) 19:175–91. doi: 10.2174/1570180818666210901125519

CrossRef Full Text | Google Scholar

87. Sureshbabu A, Syed MA, Boddupalli CS, Dhodapkar MV, Homer RJ, Minoo P, et al. Conditional overexpression of TGFβ1 promotes pulmonary inflammation, apoptosis and mortality via TGFβR2 in the developing mouse lung. Respir Res (2015) 16:4. doi: 10.1186/s12931-014-0162-6

CrossRef Full Text | Google Scholar

88. Arora S, Ahmad S, Irshad R, Goyal Y, Rafat S, Siddiqui N, et al. TLRs in pulmonary diseases. Life Sci (2019) 233:116671. doi: 10.1016/j.lfs.2019.116671

CrossRef Full Text | Google Scholar

89. Elenbaas B, Weinberg RA. Heterotypic signaling between epithelial tumor cells and fibroblasts in carcinoma formation. Exp Cell Res (2001) 264:169–84. doi: 10.1006/excr.2000.5133

CrossRef Full Text | Google Scholar

90. Cherfils-Vicini J, Platonova S, Gillard M, Laurans L, Validire P, Caliandro R, et al. Triggering of TLR7 and TLR8 expressed by human lung cancer cells induces cell survival and chemoresistance. J Clin Invest (2010) 120:1285–97. doi: 10.1172/JCI36551

CrossRef Full Text | Google Scholar

91. Katoh M, Katoh M. Transcriptional mechanisms of WNT5A based on NF-kappaB, Hedgehog, TGFbeta, and Notch signaling cascades. Int J Mol Med (2009) 23:763–9. doi: 10.3892/ijmm_00000190

CrossRef Full Text | Google Scholar

92. Blumenthal A, Ehlers S, Lauber J, Buer J, Lange C, Goldmann T, et al. The Wingless homolog WNT5A and its receptor Frizzled-5 regulate inflammatory responses of human mononuclear cells induced by microbial stimulation. Blood (2006) 108:965–73. doi: 10.1182/blood-2005-12-5046

CrossRef Full Text | Google Scholar

93. Whang YM, Jo U, Sung JS, Ju HJ, Kim HK, Park KH, et al. Wnt5a is associated with cigarette smoke-related lung carcinogenesis via protein kinase C. PloS One (2013) 8:e53012. doi: 10.1371/journal.pone.0053012

CrossRef Full Text | Google Scholar

94. Haw TJ, Starkey MR, Pavlidis S, Fricker M, Arthurs AL, Nair PM, et al. Toll-like receptor 2 and 4 have opposing roles in the pathogenesis of cigarette smoke-induced chronic obstructive pulmonary disease. Am J Physiol Lung Cell Mol Physiol (2018) 314:L298–317. doi: 10.1152/ajplung.00154.2017

CrossRef Full Text | Google Scholar

95. Martín-Medina A, Cerón-Pisa N, Martinez-Font E, Shafiek H, Obrador-Hevia A, Sauleda J, et al. TLR/WNT: A novel relationship in immunomodulation of lung cancer. Int J Mol Sci (2022) 23:6539. doi: 10.3390/ijms23126539

CrossRef Full Text | Google Scholar

96. Bauer AK, Upham BL, Rondini EA, Tennis MA, Velmuragan K, Wiese D. Toll-like receptor expression in human non-small cell lung carcinoma: potential prognostic indicators of disease. Oncotarget (2017) 8:91860–75. doi: 10.18632/oncotarget.19463

CrossRef Full Text | Google Scholar

97. Wei F, Yang F, Li J, Zheng Y, Yu W, Yang L, et al. Soluble Toll-like receptor 4 is a potential serum biomarker in non-small cell lung cancer. Oncotarget (2016) 7:40106–14. doi: 10.18632/oncotarget.9496

CrossRef Full Text | Google Scholar

98. Baglivo S, Bianconi F, Metro G, Gili A, Tofanetti FR, Bellezza G, et al. Higher TLR7 gene expression predicts poor clinical outcome in advanced NSCLC patients treated with immunotherapy. Genes (Basel) (2021) 12:992. doi: 10.3390/genes12070992

CrossRef Full Text | Google Scholar

99. Jiang D-S, Wang Y-W, Jiang J, Li S-M, Liang S-Z, Fang H-Y. MicroRNA-26a involved in Toll-like receptor 9−mediated lung cancer growth and migration. Int J Mol Med (2014) 34:307–12. doi: 10.3892/ijmm.2014.1764

CrossRef Full Text | Google Scholar

100. Lan F, Yue X, Ren G, Li H, Ping L, Wang Y, et al. miR-15a/16 enhances radiation sensitivity of non-small cell lung cancer cells by targeting the TLR1/NF-κB signaling pathway. Int J Radiat Oncol Biol Phys (2015) 91:73–81. doi: 10.1016/j.ijrobp.2014.09.021

CrossRef Full Text | Google Scholar

101. Xie W, Wang Y, Huang Y, Yang H, Wang J, Hu Z. Toll-like receptor 2 mediates invasion via activating NF-kappaB in MDA-MB-231 breast cancer cells. Biochem Biophys Res Commun (2009) 379:1027–32. doi: 10.1016/j.bbrc.2009.01.009

CrossRef Full Text | Google Scholar

102. Salaun B, Zitvogel L, Asselin-Paturel C, Morel Y, Chemin K, Dubois C, et al. TLR3 as a biomarker for the therapeutic efficacy of double-stranded RNA in breast cancer. Cancer Res (2011) 71:1607–14. doi: 10.1158/0008-5472.CAN-10-3490

CrossRef Full Text | Google Scholar

103. Di Lorenzo A, Bolli E, Ruiu R, Ferrauto G, Di Gregorio E, Avalle L, et al. Toll-like receptor 2 promotes breast cancer progression and resistance to chemotherapy. Oncoimmunology (2022) 11:2086752. doi: 10.1080/2162402X.2022.2086752

CrossRef Full Text | Google Scholar

104. Conti L, Lanzardo S, Arigoni M, Antonazzo R, Radaelli E, Cantarella D, et al. The noninflammatory role of high mobility group box 1/Toll-like receptor 2 axis in the self-renewal of mammary cancer stem cells. FASEB J Off Publ Fed Am Soc Exp Biol (2013) 27:4731–44. doi: 10.1096/fj.13-230201

CrossRef Full Text | Google Scholar

105. Sohun M, Shen H. The implication and potential applications of high-mobility group box 1 protein in breast cancer. Ann Transl Med (2016) 4:217. doi: 10.21037/atm.2016.05.36

CrossRef Full Text | Google Scholar

106. Muresan XM, Bouchal J, Culig Z, Souček K. Toll-like receptor 3 in solid cancer and therapy resistance. Cancers (Basel) (2020) 12:3227. doi: 10.3390/cancers12113227

CrossRef Full Text | Google Scholar

107. Jia D, Yang W, Li L, Liu H, Tan Y, Ooi S, et al. β-Catenin and NF-κB co-activation triggered by TLR3 stimulation facilitates stem cell-like phenotypes in breast cancer. Cell Death Differ (2015) 22:298–310. doi: 10.1038/cdd.2014.145

CrossRef Full Text | Google Scholar

108. Yang H, Wang B, Wang T, Xu L, He C, Wen H, et al. Toll-like receptor 4 prompts human breast cancer cells invasiveness via lipopolysaccharide stimulation and is overexpressed in patients with lymph node metastasis. PloS One (2014) 9:e109980. doi: 10.1371/journal.pone.0109980

CrossRef Full Text | Google Scholar

109. Shi S, Xu C, Fang X, Zhang Y, Li H, Wen W, et al. Expression profile of Toll−like receptors in human breast cancer. Mol Med Rep (2020) 21:786–94. doi: 10.3892/mmr.2019.10853

CrossRef Full Text | Google Scholar

110. Wu K, Zhang H, Fu Y, Zhu Y, Kong L, Chen L, et al. TLR4/MyD88 signaling determines the metastatic potential of breast cancer cells. Mol Med Rep (2018) 18:3411–20. doi: 10.3892/mmr.2018.9326

CrossRef Full Text | Google Scholar

111. Patra R, Chakraborty J, Das NC, Mukherjee S. An integrated omics study on the role of HDAC9 gene in the oncogenic events of human gastrointestinal-tract associated cancers. Hum Gene (2023) 37:201189. doi: 10.1016/j.humgen.2023.201189

CrossRef Full Text | Google Scholar

112. Chen X, Zhang L, Jiang Y, Song L, Liu Y, Cheng F, et al. Radiotherapy-induced cell death activates paracrine HMGB1-TLR2 signaling and accelerates pancreatic carcinoma metastasis. J Exp Clin Cancer Res (2018) 37:77. doi: 10.1186/s13046-018-0726-2

CrossRef Full Text | Google Scholar

113. Ochi A, Graffeo CS, Zambirinis CP, Rehman A, Hackman M, Fallon N, et al. Toll-like receptor 7 regulates pancreatic carcinogenesis in mice and humans. J Clin Invest (2012) 122:4118–29. doi: 10.1172/JCI63606

CrossRef Full Text | Google Scholar

114. Orlacchio A, Mazzone P. The role of toll-like receptors (TLRs) mediated inflammation in pancreatic cancer pathophysiology. Int J Mol Sci (2021) 22:12743. doi: 10.3390/ijms222312743

CrossRef Full Text | Google Scholar

115. Craig AJ, von Felden J, Garcia-Lezana T, Sarcognato S, Villanueva A. Tumour evolution in hepatocellular carcinoma. Nat Rev Gastroenterol Hepatol (2020) 17:139–52. doi: 10.1038/s41575-019-0229-4

CrossRef Full Text | Google Scholar

116. Liu Y-C, Yeh C-T, Lin K-H. Cancer stem cell functions in hepatocellular carcinoma and comprehensive therapeutic strategies. Cells (2020) 9:1331. doi: 10.3390/cells9061331

CrossRef Full Text | Google Scholar

117. Piñero F, Dirchwolf M, Pessôa MG. Biomarkers in hepatocellular carcinoma: diagnosis, prognosis and treatment response assessment. Cells (2020) 9:1370. doi: 10.3390/cells9061370

CrossRef Full Text | Google Scholar

118. Zhang J, Gu C, Song Q, Zhu M, Xu Y, Xiao M, et al. Identifying cancer-associated fibroblasts as emerging targets for hepatocellular carcinoma. Cell Biosci (2020) 10:127. doi: 10.1186/s13578-020-00488-y

CrossRef Full Text | Google Scholar

119. Karapetyan L, Luke JJ, Davar D. Toll-like receptor 9 agonists in cancer. Onco Targets Ther (2020) 13:10039–60. doi: 10.2147/OTT.S247050

CrossRef Full Text | Google Scholar

120. Liu L, Liu B, Yu J, Zhang D, Shi J, Liang P. Development of a toll-like receptor-based gene signature that can predict prognosis, tumor microenvironment, and chemotherapy response for hepatocellular carcinoma. Front Mol Biosci (2021) 8. doi: 10.3389/fmolb.2021.729789

CrossRef Full Text | Google Scholar

121. Mohamed FE-ZA, Hammad S, Luong TV, Dewidar B, Al-Jehani R, Davies N, et al. Expression of TLR-2 in hepatocellular carcinoma is associated with tumour proliferation, angiogenesis and Caspase-3 expression. Pathol - Res Pract (2020) 216:152980. doi: 10.1016/j.prp.2020.152980

CrossRef Full Text | Google Scholar

122. Liu X, Gong J, Xu B. miR-143 down-regulates TLR2 expression in hepatoma cells and inhibits hepatoma cell proliferation and invasion. Int J Clin Exp Pathol (2015) 8:12738–47.

Google Scholar

123. Kairaluoma V, Kemi N, Huhta H, Pohjanen V-M, Helminen O. Prognostic role of TLR4 and TLR2 in hepatocellular carcinoma. Acta Oncol (Madr) (2021) 60:554–8. doi: 10.1080/0284186X.2021.1877346

CrossRef Full Text | Google Scholar

124. Sepehri Z, Kiani Z, Kohan F, Alavian SM, Ghavami S. Toll like receptor 4 and hepatocellular carcinoma; A systematic review. Life Sci (2017) 179:80–7. doi: 10.1016/j.lfs.2017.04.025

CrossRef Full Text | Google Scholar

125. Yang J, Li M, Zheng QC. Emerging role of Toll-like receptor 4 in hepatocellular carcinoma. J Hepatocell carcinoma (2015) 2:11–7. doi: 10.2147/JHC.S44515

CrossRef Full Text | Google Scholar

126. Liu W-T, Jing Y-Y, Yu G, Han Z, Yu D, Fan Q-M, et al. Toll like receptor 4 facilitates invasion and migration as a cancer stem cell marker in hepatocellular carcinoma. Cancer Lett (2015) 358:136–43. doi: 10.1016/j.canlet.2014.12.019

CrossRef Full Text | Google Scholar

127. Shi L, Zheng X, Fan Y, Yang X, Li A, Qian J. The contribution of miR-122 to the innate immunity by regulating toll-like receptor 4 in hepatoma cells. BMC Gastroenterol (2019) 19:130. doi: 10.1186/s12876-019-1048-3

CrossRef Full Text | Google Scholar

128. Nguyen J, Jiao J, Smoot K, Watt GP, Zhao C, Song X, et al. Toll-like receptor 4: a target for chemoprevention of hepatocellular carcinoma in obesity and steatohepatitis. Oncotarget (2018) 9:29495–507. doi: 10.18632/oncotarget.25685

CrossRef Full Text | Google Scholar

129. Mohamed FE, Al-Jehani RM, Minogue SS, Andreola F, Winstanley A, Olde Damink SWM, et al. Effect of toll-like receptor 7 and 9 targeted therapy to prevent the development of hepatocellular carcinoma. Liver Int (2015) 35:1063–76. doi: 10.1111/liv.12626

CrossRef Full Text | Google Scholar

130. Kairaluoma V, Kemi N, Huhta H, Pohjanen V-M, Helminen O. Toll-like receptor 5 and 8 in hepatocellular carcinoma. APMIS (2021) 129:470–9. doi: 10.1111/apm.13142

CrossRef Full Text | Google Scholar

131. Hussain SP, Schwank J, Staib F, Wang XW, Harris CC. TP53 mutations and hepatocellular carcinoma: insights into the etiology and pathogenesis of liver cancer. Oncogene (2007) 26:2166–76. doi: 10.1038/sj.onc.1210279

CrossRef Full Text | Google Scholar

132. Díaz P, Valenzuela Valderrama M, Bravo J, Quest AFG. Helicobacter pylori and gastric cancer: adaptive cellular mechanisms involved in disease progression. Front Microbiol (2018) 9:5. doi: 10.3389/fmicb.2018.00005

CrossRef Full Text | Google Scholar

133. Pucułek M, Machlowska J, Wierzbicki R, Baj J, Maciejewski R, Sitarz R. Helicobacter pylori associated factors in the development of gastric cancer with special reference to the early-onset subtype. Oncotarget (2018) 9:31146–62. doi: 10.18632/oncotarget.25757

CrossRef Full Text | Google Scholar

134. Zhao Y, Zhang J, Cheng ASL, Yu J, To KF, Kang W. Gastric cancer: genome damaged by bugs. Oncogene (2020) 39:3427–42. doi: 10.1038/s41388-020-1241-4

CrossRef Full Text | Google Scholar

135. Ranjbar R, Behzadi P, Farshad S. Advances in diagnosis and treatment of Helicobacter pylori infection. Acta Microbiol Immunol Hung (2017) 64:273–92. doi: 10.1556/030.64.2017.008

CrossRef Full Text | Google Scholar

136. Momtaz H, Souod N, Dabiri H, Sarshar M. Study of Helicobacter pylori genotype status in saliva, dental plaques, stool and gastric biopsy samples. World J Gastroenterol (2012) 18:2105–11. doi: 10.3748/wjg.v18.i17.2105

CrossRef Full Text | Google Scholar

137. Watari J, Chen N, Amenta PS, Fukui H, Oshima T, Tomita T, et al. Helicobacter pylori associated chronic gastritis, clinical syndromes, precancerous lesions, and pathogenesis of gastric cancer development. World J Gastroenterol (2014) 20:5461–73. doi: 10.3748/wjg.v20.i18.5461

CrossRef Full Text | Google Scholar

138. Navashenaq JG, Shabgah AG, Banach M, Jamialahmadi T, Penson PE, Johnston TP, et al. The interaction of Helicobacter pylori with cancer immunomodulatory stromal cells: New insight into gastric cancer pathogenesis. Semin Cancer Biol (2022) 86:951–9. doi: 10.1016/j.semcancer.2021.09.014

CrossRef Full Text | Google Scholar

139. Soheila R, Arezoo B, Galavani H, Saber R. Comments on “Genetic characterization and phylogenetic analysis of Fasciola species based on ITS2 gene sequence, with first molecular evidence of intermediate Fasciola from water buffaloes in Aswan, Egypt”. Ann Parasitol (2021) 67:351–2. doi: 10.17420/ap6702.350

CrossRef Full Text | Google Scholar

140. Smith SM. Role of Toll-like receptors in Helicobacter pylori infection and immunity. World J Gastrointest Pathophysiol (2014) 5:133–46. doi: 10.4291/wjgp.v5.i3.133

CrossRef Full Text | Google Scholar

141. Kumar Pachathundikandi S, Brandt S, Madassery J, Backert S. Induction of TLR-2 and TLR-5 expression by Helicobacter pylori switches cagPAI-dependent signalling leading to the secretion of IL-8 and TNF-α. PloS One (2011) 6:e19614. doi: 10.1371/journal.pone.0019614

CrossRef Full Text | Google Scholar

142. Cheok YY, Tan GMY, Lee CYQ, Abdullah S, Looi CY, Wong WF. Innate immunity crosstalk with helicobacter pylori: pattern recognition receptors and cellular responses. Int J Mol Sci (2022) 23:7561. doi: 10.3390/ijms23147561

CrossRef Full Text | Google Scholar

143. Cui L, Wang X, Zhang D. TLRs as a promise target along with immune checkpoint against gastric cancer. Front Cell Dev Biol (2020) 8:611444. doi: 10.3389/fcell.2020.611444

CrossRef Full Text | Google Scholar

144. Tahara T, Arisawa T, Wang F, Shibata T, Nakamura M, Sakata M, et al. Toll-like receptor 2 -196 to 174del polymorphism influences the susceptibility of Japanese people to gastric cancer. Cancer Sci (2007) 98:1790–4. doi: 10.1111/j.1349-7006.2007.00590.x

CrossRef Full Text | Google Scholar

145. Zeng H-M, Pan K-F, Zhang Y, Zhang L, Ma J-L, Zhou T, et al. Genetic variants of toll-like receptor 2 and 5, helicobacter pylori infection, and risk of gastric cancer and its precursors in a chinese population. Cancer Epidemiol Biomarkers Prev Publ Am Assoc Cancer Res cosponsored by Am Soc Prev Oncol (2011) 20:2594–602. doi: 10.1158/1055-9965.EPI-11-0702

CrossRef Full Text | Google Scholar

146. Tye H, Kennedy CL, Najdovska M, McLeod L, McCormack W, Hughes N, et al. STAT3-driven upregulation of TLR2 promotes gastric tumorigenesis independent of tumor inflammation. Cancer Cell (2012) 22:466–78. doi: 10.1016/j.ccr.2012.08.010

CrossRef Full Text | Google Scholar

147. Liu YD, Yu L, Ying L, Balic J, Gao H, Deng NT, et al. Toll-like receptor 2 regulates metabolic reprogramming in gastric cancer via superoxide dismutase 2. Int J Cancer (2019) 144:3056–69. doi: 10.1002/ijc.32060

CrossRef Full Text | Google Scholar

148. Pimentel-Nunes P, Afonso L, Lopes P, Roncon-Albuquerque RJ, Gonçalves N, Henrique R, et al. Increased expression of toll-like receptors (TLR) 2, 4 and 5 in gastric dysplasia. Pathol Oncol Res (2011) 17:677–83. doi: 10.1007/s12253-011-9368-9

CrossRef Full Text | Google Scholar

149. Fernandez-Garcia B, Eiró N, González-Reyes S, González L, Aguirre A, González LO, et al. Clinical significance of toll-like receptor 3, 4, and 9 in gastric cancer. J Immunother (2014) 37:77–83. doi: 10.1097/CJI.0000000000000016

CrossRef Full Text | Google Scholar

150. Schmaußer B, Andrulis M, Endrich S, Müller-Hermelink H-K, Eck M. Toll-like receptors TLR4, TLR5 and TLR9 on gastric carcinoma cells: An implication for interaction with Helicobacter pylori. Int J Med Microbiol (2005) 295:179–85. doi: 10.1016/j.ijmm.2005.02.009

CrossRef Full Text | Google Scholar

151. Lehnardt S, Wallach T, Gres V, Henneke P. Guardians of neuroimmunity – Toll-like receptors and their RNA ligands. Neuroforum (2019) 25:185–93. doi: 10.1515/nf-2018-0032

CrossRef Full Text | Google Scholar

152. Banerjee S, Thompson WE, Chowdhury I. Emerging roles of microRNAs in the regulation of Toll-like receptor (TLR)-signaling. FBL (2021) 26:771–96. doi: 10.2741/4917

CrossRef Full Text | Google Scholar

153. Sarshar M, Scribano D, Ambrosi C, Palamara AT, Masotti A. Fecal microRNAs as innovative biomarkers of intestinal diseases and effective players in host-microbiome interactions. Cancers (Basel) (2020) 12:2174. doi: 10.3390/cancers12082174

CrossRef Full Text | Google Scholar

154. Paolini A, Baldassarre A, Bruno SP, Felli C, Muzi C, Ahmadi Badi S, et al. Improving the diagnostic potential of extracellular miRNAs coupled to multiomics data by exploiting the power of artificial intelligence. Front Microbiol (2022) 13:888414. doi: 10.3389/fmicb.2022.888414

CrossRef Full Text | Google Scholar

155. Paolini A, Sarshar M, Felli C, Bruno SP, Rostami-Nejad M, Ferretti F, et al. Biomarkers to monitor adherence to gluten-free diet by celiac disease patients: gluten immunogenic peptides and urinary miRNAs. Foods (Basel Switzerland) (2022) 11:1350. doi: 10.3390/foods11101380

CrossRef Full Text | Google Scholar

156. Nahid MA, Satoh M, Chan EK. MicroRNA in TLR signaling and endotoxin tolerance. Cell Mol Immunol (2011) 8:388–403. doi: 10.1038/cmi.2011.26

CrossRef Full Text | Google Scholar

157. Bayraktar R, Bertilaccio MTS, Calin GA. The interaction between two worlds: microRNAs and toll-like receptors. Front Immunol (2019) 10:1053. doi: 10.3389/fimmu.2019.01053

CrossRef Full Text | Google Scholar

158. He X, Jing Z, Cheng G. MicroRNAs: new regulators of Toll-like receptor signalling pathways. BioMed Res Int (2014) 2014:945169. doi: 10.1155/2014/945169

CrossRef Full Text | Google Scholar

159. Cadamuro ACT, Rossi AFT, Matos Biselli-Périco J, Fucuta Pereira P, Do Vale EPBM, Acayaba R, et al. Effect of Helicobacter pylori eradication on TLR2 and TLR4 expression in patients with gastric lesions. Mediators Inflammation (2015) 2015:481972. doi: 10.1155/2015/481972

CrossRef Full Text | Google Scholar

160. Smith SM, Moran AP, Duggan SP, Ahmed SE, Mohamed AS, Windle HJ, et al. Tribbles 3: a novel regulator of TLR2-mediated signaling in response to Helicobacter pylori lipopolysaccharide. J Immunol (2011) 186:2462–71. doi: 10.4049/jimmunol.1000864

CrossRef Full Text | Google Scholar

161. Kim J-H, Namgung B, Jeon YJ, Song WS, Lee J, Kang SG, et al. Helicobacter pylori flagellin: TLR5 evasion and fusion-based conversion into a TLR5 agonist. Biochem Biophys Res Commun (2018) 505:872–8. doi: 10.1016/j.bbrc.2018.09.179

CrossRef Full Text | Google Scholar

162. Tegtmeyer N, Neddermann M, Lind J, Pachathundikandi SK, Sharafutdinov I, Gutiérrez-Escobar AJ, et al. Toll-like receptor 5 activation by the cagY repeat domains of helicobacter pylori. Cell Rep (2020) 32:108159. doi: 10.1016/j.celrep.2020.108159

CrossRef Full Text | Google Scholar

163. Pachathundikandi SK, Tegtmeyer N, Arnold IC, Lind J, Neddermann M, Falkeis-Veits C, et al. T4SS-dependent TLR5 activation by Helicobacter pylori infection. Nat Commun (2019) 10:5717. doi: 10.1038/s41467-019-13506-6

CrossRef Full Text | Google Scholar

164. Johnson EM, Gaddy JA, Cover TL. Alterations in Helicobacter pylori triggered by contact with gastric epithelial cells. Front Cell Infect Microbiol (2012) 2:17. doi: 10.3389/fcimb.2012.00017

CrossRef Full Text | Google Scholar

165. Patra R, Mukherjee S, Das NC. Exploring the differential expression and prognostic significance of the COL11A1 gene in human colorectal carcinoma: an integrated bioinformatics approach. Front Genet (2021) 12:608313. doi: 10.3389/FGENE.2021.608313

CrossRef Full Text | Google Scholar

166. Patra R, Dey AK, Mukherjee S. Identification of genes critical for inducing ulcerative colitis and exploring their tumorigenic potential in human colorectal carcinoma. PloS One (2023) 18:e0289064. doi: 10.1371/journal.pone.0289064

CrossRef Full Text | Google Scholar

167. Koyande N, Gangopadhyay M, Thatikonda S, Rengan AK. The role of gut microbiota in the development of colorectal cancer: a review. Int J Colorectal Dis (2022) 37:1509–23. doi: 10.1007/s00384-022-04192-w

CrossRef Full Text | Google Scholar

168. Hossam N, Matboli M, Shehata HH, Aboelhussein MM, Hassan MK, Eissa S. Toll-like receptor immune modulatory role in personalized management of colorectal cancer, review of literature. Expert Rev Precis Med Drug Dev (2020) 5:455–68. doi: 10.1080/23808993.2020.1816136

CrossRef Full Text | Google Scholar

169. Beilmann-Lehtonen I, Böckelman C, Mustonen H, Koskensalo S, Hagström J, Haglund C. The prognostic role of tissue TLR2 and TLR4 in colorectal cancer. Virchows Arch (2020) 477:705–15. doi: 10.1007/s00428-020-02833-5

CrossRef Full Text | Google Scholar

170. Paarnio K, Tuomisto A, Väyrynen SA, Väyrynen JP, Klintrup K, Ohtonen P, et al. Serum TLR2 and TLR4 levels in colorectal cancer and their association with systemic inflammatory markers, tumor characteristics, and disease outcome. APMIS (2019) 127:561–9. doi: 10.1111/apm.12971

CrossRef Full Text | Google Scholar

171. Meng S, Li Y, Zang X, Jiang Z, Ning H, Li J. Effect of TLR2 on the proliferation of inflammation-related colorectal cancer and sporadic colorectal cancer. Cancer Cell Int (2020) 20:95. doi: 10.1186/s12935-020-01184-0

CrossRef Full Text | Google Scholar

172. Lowe EL, Crother TR, Rabizadeh S, Hu B, Wang H, Chen S, et al. Toll-like receptor 2 signaling protects mice from tumor development in a mouse model of colitis-induced cancer. PloS One (2010) 5:e13027. doi: 10.1371/journal.pone.0013027

CrossRef Full Text | Google Scholar

173. Patra R, Padma S, Mukherjee S. An improved method for experimental induction of Ulcerative colitis in Sprague Dawley rats. MethodsX (2023) 10:102158. doi: 10.1016/j.mex.2023.102158

CrossRef Full Text | Google Scholar

174. Wang EL, Qian ZR, Nakasono M, Tanahashi T, Yoshimoto K, Bando Y, et al. High expression of Toll-like receptor 4/myeloid differentiation factor 88 signals correlates with poor prognosis in colorectal cancer. Br J Cancer (2010) 102:908–15. doi: 10.1038/sj.bjc.6605558

CrossRef Full Text | Google Scholar

175. Kostic AD, Chun E, Meyerson M, Garrett WS. Microbes and inflammation in colorectal cancer. Cancer Immunol Res (2013) 1:150–7. doi: 10.1158/2326-6066.CIR-13-0101

CrossRef Full Text | Google Scholar

176. Li J, Zhang A, Wu F, Wang X. Alterations in the gut microbiota and their metabolites in colorectal cancer: recent progress and future prospects. Front Oncol (2022) 12. doi: 10.3389/fonc.2022.841552

CrossRef Full Text | Google Scholar

177. Fang Y, Yan C, Zhao Q, Zhao B, Liao Y, Chen Y, et al. The association between gut microbiota, toll-like receptors, and colorectal cancer. Clin Med Insights Oncol (2022) 16:11795549221130548. doi: 10.1177/11795549221130549

CrossRef Full Text | Google Scholar

178. Patra R, Mitra S, Das NC, Mukherjee S. Prebiotics as promising Therapeutics for Treating Gut-Related Disorders: Biochemical and Molecular Perspectives BT - Prebiotics, Probiotics and Nutraceuticals. Behera KK, Bist R, Mohanty S, Bhattacharya M, editors. Singapore: Springer Nature Singapore (2022) p. 133–54. doi: 10.1007/978-981-16-8990-1_8

CrossRef Full Text | Google Scholar

179. Das NC, Patra R, Dey A, Mukherjee S. Probiotics as Efficacious Therapeutic Option for Treating Gut-Related Diseases: Molecular and Immunobiological Perspectives BT - Prebiotics, Probiotics and Nutraceuticals. Behera KK, Bist R, Mohanty S, Bhattacharya M, editors. Singapore: Springer Nature Singapore (2022) p. 69–93. doi: 10.1007/978-981-16-8990-1_5

CrossRef Full Text | Google Scholar

180. Mukherjee S, Joardar N, Sengupta S, Babu SPS. Gut microbes as future therapeutics in treating inflammatory and infectious diseases: lessons from recent findings. J Nutr Biochem (2018) 61:111–28. doi: 10.1016/j.jnutbio.2018.07.010

CrossRef Full Text | Google Scholar

181. Butt J, Jenab M, Werner J, Fedirko V, Weiderpass E, Dahm CC, et al. Association of Pre-diagnostic Antibody Responses to Escherichia coli and Bacteroides fragilis Toxin Proteins with Colorectal Cancer in a European Cohort. Gut Microbes (2021) 13:1903825. doi: 10.1080/19490976.2021.1903825

CrossRef Full Text | Google Scholar

182. Viljoen KS, Dakshinamurthy A, Goldberg P, Blackburn JM. Quantitative Profiling of Colorectal Cancer-Associated Bacteria Reveals Associations between Fusobacterium spp., Enterotoxigenic Bacteroides fragilis (ETBF) and Clinicopathological Features of Colorectal Cancer. PloS One (2015) 10:e0119462. doi: 10.1371/journal.pone.0119462

CrossRef Full Text | Google Scholar

183. Cannistra SA. Cancer of the ovary. N Engl J Med (2004) 351:2519–29. doi: 10.1056/NEJMra041842

CrossRef Full Text | Google Scholar

184. Muccioli M, Sprague L, Nandigam H, Pate M, Benencia F. Toll-like receptors as novel therapeutic targets for ovarian cancer. ISRN Oncol (2012) 2012:642141. doi: 10.5402/2012/642141

CrossRef Full Text | Google Scholar

185. Woods DC, White YAR, Dau C, Johnson AL. TLR4 activates NF-κB in human ovarian granulosa tumor cells. Biochem Biophys Res Commun (2011) 409:675–80. doi: 10.1016/j.bbrc.2011.05.063

CrossRef Full Text | Google Scholar

186. Berger R, Fiegl H, Goebel G, Obexer P, Ausserlechner M, Doppler W, et al. Toll-like receptor 9 expression in breast and ovarian cancer is associated with poorly differentiated tumors. Cancer Sci (2010) 101:1059–66. doi: 10.1111/j.1349-7006.2010.01491.x

CrossRef Full Text | Google Scholar

187. Kelly MG, Alvero AB, Chen R, Silasi D-A, Abrahams VM, Chan S, et al. TLR-4 signaling promotes tumor growth and paclitaxel chemoresistance in ovarian cancer. Cancer Res (2006) 66:3859–68. doi: 10.1158/0008-5472.CAN-05-3948

CrossRef Full Text | Google Scholar

188. Seya T, Matsumoto M. The extrinsic RNA-sensing pathway for adjuvant immunotherapy of cancer. Cancer Immunol Immunother (2009) 58:1175–84. doi: 10.1007/s00262-008-0652-9

CrossRef Full Text | Google Scholar

189. Huang B, Zhao J, Li H, He K-L, Chen Y, Mayer L, et al. Toll-like receptors on tumor cells facilitate evasion of immune surveillance. Cancer Res (2005) 65:5009–14. doi: 10.1158/0008-5472.CAN-05-0784

CrossRef Full Text | Google Scholar

190. O’Leary DP, Bhatt L, Woolley JF, Gough DR, Wang JH, Cotter TG, et al. TLR-4 signalling accelerates colon cancer cell adhesion via NF-κB mediated transcriptional up-regulation of nox-1. PloS One (2012) 7:e44176. doi: 10.1371/journal.pone.0044176

CrossRef Full Text | Google Scholar

191. Firmal P, Shah VK, Chattopadhyay S. Insight into TLR4-mediated immunomodulation in normal pregnancy and related disorders. Front Immunol (2020) 11. doi: 10.3389/fimmu.2020.00807

CrossRef Full Text | Google Scholar

192. Luo Q, Zeng L, Tang C, Zhang Z, Chen Y, Zeng C. TLR9 induces colitis−associated colorectal carcinogenesis by regulating NF−κB expression levels. Oncol Lett (2020) 20:110. doi: 10.3892/ol.2020.11971

CrossRef Full Text | Google Scholar

193. Gao C, Qiao T, Zhang B, Yuan S, Zhuang X, Luo Y. TLR9 signaling activation at different stages in colorectal cancer and NF-kappaB expression. Onco Targets Ther (2018) 11:5963–71. doi: 10.2147/OTT.S174274

CrossRef Full Text | Google Scholar

194. Purdue MP, Lan Q, Wang SS, Kricker A, Menashe I, Zheng T-Z, et al. A pooled investigation of Toll-like receptor gene variants and risk of non-Hodgkin lymphoma. Carcinogenesis (2009) 30:275–81. doi: 10.1093/carcin/bgn262

CrossRef Full Text | Google Scholar

195. Nieters A, Beckmann L, Deeg E, Becker N. Gene polymorphisms in Toll-like receptors, interleukin-10, and interleukin-10 receptor alpha and lymphoma risk. Genes Immun (2006) 7:615–24. doi: 10.1038/sj.gene.6364337

CrossRef Full Text | Google Scholar

196. Szymańska A, Bojarska-Junak A, Drobiecki A, Tomczak W, Roliński J, Hus M, et al. TLR2 expression on leukemic B cells from patients with chronic lymphocytic leukemia. Arch Immunol Ther Exp (Warsz) (2019) 67:55–65. doi: 10.1007/s00005-018-0523-9

CrossRef Full Text | Google Scholar

197. Wang L, Zhao Y, Qian J, Sun L, Lu Y, Li H, et al. Toll-like receptor-4 signaling in mantle cell lymphoma. Cancer (2013) 119:782–91. doi: 10.1002/cncr.27792

CrossRef Full Text | Google Scholar

198. Carvalho A, Cunha C, Almeida AJ, Osório NS, Saraiva M, Teixeira-Coelho M, et al. The rs5743836 polymorphism in TLR9 confers a population-based increased risk of non-Hodgkin lymphoma. Genes Immun (2012) 13:197–201. doi: 10.1038/gene.2011.59

CrossRef Full Text | Google Scholar

199. Noack J, Jordi M, Zauner L, Alessi D, Burch A, Tinguely M, et al. TLR9 agonists induced cell death in Burkitt’s lymphoma cells is variable and influenced by TLR9 polymorphism. Cell Death Dis (2012) 3:e323–3. doi: 10.1038/cddis.2012.60

CrossRef Full Text | Google Scholar

200. El-Omar EM, Ng MT, Hold GL. Polymorphisms in Toll-like receptor genes and risk of cancer. Oncogene (2008) 27:244–52. doi: 10.1038/sj.onc.1210912

CrossRef Full Text | Google Scholar

201. Wang B-G, Yi D-H, Liu Y-F. TLR3 gene polymorphisms in cancer: a systematic review and meta-analysis. Chin J Cancer (2015) 34:272–84. doi: 10.1186/s40880-015-0020-z

CrossRef Full Text | Google Scholar

202. Hu J, Xu J, Feng X, Li Y, Hua F, Xu G. Differential expression of the TLR4 gene in pan-cancer and its related mechanism. Front Cell Dev Biol (2021) 9. doi: 10.3389/fcell.2021.700661

CrossRef Full Text | Google Scholar

203. Vardiman JW, Thiele J, Arber DA, Brunning RD, Borowitz MJ, Porwit A, et al. The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes. Blood (2009) 114:937–51. doi: 10.1182/blood-2009-03-209262

CrossRef Full Text | Google Scholar

204. Harris NL, Jaffe ES, Diebold J, Flandrin G, Muller-Hermelink HK, Vardiman J, et al. The world health organization classification of neoplastic diseases of the hematopoietic and lymphoid tissues: report of the clinical advisory committee meeting, airlie house, Virginia, November, 1997. Ann Oncol (1999) 10:1419–32. doi: 10.1023/A:1008375931236

CrossRef Full Text | Google Scholar

205. Momotow J, Borchmann S, Eichenauer DA, Engert A, Sasse S. Hodgkin lymphoma—Review on pathogenesis, diagnosis, current and future treatment approaches for adult patients. J Clin Med (2021) 10:1125. doi: 10.3390/jcm10051125

CrossRef Full Text | Google Scholar

206. Küppers R, Engert A, Hansmann M-L. Hodgkin lymphoma. J Clin Invest (2012) 122:3439–47. doi: 10.1172/JCI61245

CrossRef Full Text | Google Scholar

207. Harsini S, Beigy M, Akhavan-Sabbagh M, Rezaei N. Toll-like receptors in lymphoid Malignancies: Double-edged sword. Crit Rev Oncol Hematol (2014) 89:262–83. doi: 10.1016/j.critrevonc.2013.08.010

CrossRef Full Text | Google Scholar

208. Monlish DA, Bhatt ST, Schuettpelz LG. The role of toll-like receptors in hematopoietic Malignancies. Front Immunol (2016) 7. doi: 10.3389/fimmu.2016.00390

CrossRef Full Text | Google Scholar

209. Mullighan CG. Molecular genetics of B-precursor acute lymphoblastic leukemia. J Clin Invest (2012) 122:3407–15. doi: 10.1172/JCI61203

CrossRef Full Text | Google Scholar

210. Armstrong SA, Look AT. Molecular genetics of acute lymphoblastic leukemia. J Clin Oncol (2005) 23:6306–15. doi: 10.1200/JCO.2005.05.047

CrossRef Full Text | Google Scholar

211. Pui C-H, Relling MV, Downing JR. Acute lymphoblastic leukemia. N Engl J Med (2004) 350:1535–48. doi: 10.1056/NEJMra023001

CrossRef Full Text | Google Scholar

212. Corthals SL, Wynne K, She K, Shimizu H, Curman D, Garbutt K, et al. Differential immune effects mediated by Toll-like receptors stimulation in precursor B-cell acute lymphoblastic leukaemia. Br J Haematol (2006) 132:452–8. doi: 10.1111/j.1365-2141.2005.05893.x

CrossRef Full Text | Google Scholar

213. Aref S, Abdelmaksoud A, Abdellaziz S, Al Tantawy A, Mabed M, Atia D. Clinical implication of toll-like receptors (TLR2 and TLR4) polymorphisms in adult patients with acute B-cell lymphoblastic leukemia. Asian Pac J Cancer Prev (2022) 23:823–8. doi: 10.31557/APJCP.2022.23.3.823

CrossRef Full Text | Google Scholar

214. Bohnhorst J, Rasmussen T, Moen SH, Fløttum M, Knudsen L, Børset M, et al. Toll-like receptors mediate proliferation and survival of multiple myeloma cells. Leukemia (2006) 20:1138–44. doi: 10.1038/sj.leu.2404225

CrossRef Full Text | Google Scholar

215. Saraf S, Patel P, Rondelli D. Epidemiology, biology, and outcome in multiple myeloma patients in different geographical areas of the world. J Adv Intern Med (2012) 1:20–32. doi: 10.3126/jaim.v1i1.5837

CrossRef Full Text | Google Scholar

216. Chiron D, Jego G, Pellat-Deuceunynck C. Toll-like receptors: Expression and involvement in Multiple Myeloma. Leuk Res (2010) 34:1545–50. doi: 10.1016/j.leukres.2010.06.002

CrossRef Full Text | Google Scholar

217. Roy P, Sarkar UA, Basak S. The NF-κB activating pathways in multiple myeloma. Biomedicines (2018) 6:59. doi: 10.3390/biomedicines6020059

CrossRef Full Text | Google Scholar

218. Dong H, Strome SE, Salomao DR, Tamura H, Hirano F, Flies DB, et al. Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion. Nat Med (2002) 8:793–800. doi: 10.1038/nm730

CrossRef Full Text | Google Scholar

219. Chiorazzi N, Rai KR, Ferrarini M. Chronic lymphocytic leukemia. N Engl J Med (2005) 352:804–15. doi: 10.1056/NEJMra041720

CrossRef Full Text | Google Scholar

220. García-Muñoz R, Roldan Galiacho V, Llorente L. Immunological aspects in chronic lymphocytic leukemia (CLL) development. Ann Hematol (2012) 91:981–96. doi: 10.1007/s00277-012-1460-z

CrossRef Full Text | Google Scholar

221. Skorka K, Wlasiuk P, Karczmarczyk A, Giannopoulos K. Aberrant expression of TLR2, TLR7, TLR9, splicing variants of TLR4 and MYD88 in chronic lymphocytic leukemia patients. J Clin Med (2021) 10:867. doi: 10.3390/jcm10040867

CrossRef Full Text | Google Scholar

222. Kennedy E, Coulter E, Halliwell E, Profitos-Peleja N, Walsby E, Clark B, et al. TLR9 expression in chronic lymphocytic leukemia identifies a promigratory subpopulation and novel therapeutic target. Blood (2021) 137:3064–78. doi: 10.1182/blood.2020005964

CrossRef Full Text | Google Scholar

223. Bockamp E, Rosigkeit S, Siegl D, Schuppan D. Nano-enhanced cancer immunotherapy: immunology encounters nanotechnology. Cells (2020) 9:2102. doi: 10.3390/cells9092102

CrossRef Full Text | Google Scholar

224. Pearce OMT, Delaine-Smith RM, Maniati E, Nichols S, Wang J, Böhm S, et al. Deconstruction of a metastatic tumor microenvironment reveals a common matrix response in human cancers. Cancer Discovery (2018) 8:304–19. doi: 10.1158/2159-8290.CD-17-0284

CrossRef Full Text | Google Scholar

225. Parker TM, Gupta K, Palma AM, Yekelchyk M, Fisher PB, Grossman SR, et al. Cell competition in intratumoral and tumor microenvironment interactions. EMBO J (2021) 40:e107271. doi: 10.15252/embj.2020107271

CrossRef Full Text | Google Scholar

226. Gasser S, Lim LHK, Cheung FSG. The role of the tumour microenvironment in immunotherapy. Endocr Relat Cancer (2017) 24:T283–95. doi: 10.1530/ERC-17-0146

CrossRef Full Text | Google Scholar

227. Zheng R, Ma J. Immunotherapeutic implications of toll-like receptors activation in tumor microenvironment. Pharmaceutics (2022) 14:2285. doi: 10.3390/pharmaceutics14112285

CrossRef Full Text | Google Scholar

228. Basith S, Manavalan B, Yoo TH, Kim SG, Choi S. Roles of toll-like receptors in cancer: a double-edged sword for defense and offense. Arch Pharm Res (2012) 35:1297–316. doi: 10.1007/s12272-012-0802-7

CrossRef Full Text | Google Scholar

229. Dajon M, Iribarren K, Cremer I. Toll-like receptor stimulation in cancer: A pro- and anti-tumor double-edged sword. Immunobiology (2017) 222:89–100. doi: 10.1016/j.imbio.2016.06.009

CrossRef Full Text | Google Scholar

230. Yu L, Wang L, Chen S. Dual character of Toll-like receptor signaling: pro-tumorigenic effects and anti-tumor functions. Biochim Biophys Acta (2013) 1835:144–54. doi: 10.1016/j.bbcan.2012.10.006

CrossRef Full Text | Google Scholar

231. Binnewies M, Roberts EW, Kersten K, Chan V, Fearon DF, Merad M, et al. Understanding the tumor immune microenvironment (TIME) for effective therapy. Nat Med (2018) 24:541–50. doi: 10.1038/s41591-018-0014-x

CrossRef Full Text | Google Scholar

232. Yu L, Chen S. Toll-like receptors expressed in tumor cells: targets for therapy. Cancer Immunol Immunother (2008) 57:1271–8. doi: 10.1007/s00262-008-0459-8

CrossRef Full Text | Google Scholar

233. Deng S, Zhu S, Qiao Y, Liu Y-J, Chen W, Zhao G, et al. Recent advances in the role of toll-like receptors and TLR agonists in immunotherapy for human glioma. Protein Cell (2014) 5:899–911. doi: 10.1007/s13238-014-0112-6

CrossRef Full Text | Google Scholar

234. Yu L, Wang L, Chen S. Exogenous or endogenous Toll-like receptor ligands: which is the MVP in tumorigenesis? Cell Mol Life Sci (2012) 69:935–49. doi: 10.1007/s00018-011-0864-6

CrossRef Full Text | Google Scholar

235. Bhattacharya D, Yusuf N. Expression of toll-like receptors on breast tumors: taking a toll on tumor microenvironment. Int J Breast Cancer (2012) 2012:716564. doi: 10.1155/2012/716564

CrossRef Full Text | Google Scholar

236. Jang G-Y, Lee JW, Kim YS, Lee SE, Han HD, Hong K-J, et al. Interactions between tumor-derived proteins and Toll-like receptors. Exp Mol Med (2020) 52:1926–35. doi: 10.1038/s12276-020-00540-4

CrossRef Full Text | Google Scholar

237. Yeh D-W, Huang L-R, Chen Y-W, Huang C-YF, Chuang T-H. Interplay between inflammation and stemness in cancer cells: the role of toll-like receptor signaling. J Immunol Res (2016) 2016:4368101. doi: 10.1155/2016/4368101

CrossRef Full Text | Google Scholar

238. Huang B, Zhao J, Unkeless JC, Feng ZH, Xiong H. TLR signaling by tumor and immune cells: a double-edged sword. Oncogene (2008) 27:218–24. doi: 10.1038/sj.onc.1210904

CrossRef Full Text | Google Scholar

239. Huang L, Xu H, Peng G. TLR-mediated metabolic reprogramming in the tumor microenvironment: potential novel strategies for cancer immunotherapy. Cell Mol Immunol (2018) 15:428–37. doi: 10.1038/cmi.2018.4

CrossRef Full Text | Google Scholar

240. Yanai H, Hangai S, Taniguchi T. Damage-associated molecular patterns and Toll-like receptors in the tumor immune microenvironment. Int Immunol (2021) 33:841–6. doi: 10.1093/intimm/dxab050

CrossRef Full Text | Google Scholar

241. Song IJ, Yang YM, Inokuchi-Shimizu S, Roh YS, Yang L, Seki E. The contribution of toll-like receptor signaling to the development of liver fibrosis and cancer in hepatocyte-specific TAK1-deleted mice. Int J Cancer (2018) 142:81–91. doi: 10.1002/ijc.31029

CrossRef Full Text | Google Scholar

242. Janeckova L, Pospichalova V, Fafilek B, Vojtechova M, Tureckova J, Dobes J, et al. HIC1 tumor suppressor loss potentiates TLR2/NF-κB signaling and promotes tissue damage-associated tumorigenesis. Mol Cancer Res (2015) 13:1139–48. doi: 10.1158/1541-7786.MCR-15-0033

CrossRef Full Text | Google Scholar

243. Souyris M, Mejía JE, Chaumeil J, Guéry J-C. Female predisposition to TLR7-driven autoimmunity: gene dosage and the escape from X chromosome inactivation. Semin Immunopathol (2019) 41:153–64. doi: 10.1007/s00281-018-0712-y

CrossRef Full Text | Google Scholar

244. Liu J, Xu C, Hsu L-C, Luo Y, Xiang R, Chuang T-H. A five-amino-acid motif in the Undefined region of the TLR8 ectodomain is required for species-specific ligand recognition. Mol Immunol (2010) 47:1083–90. doi: 10.1016/j.molimm.2009.11.003

CrossRef Full Text | Google Scholar

245. Libert C, Dejager L, Pinheiro I. The X chromosome in immune functions: when a chromosome makes the difference. Nat Rev Immunol (2010) 10:594–604. doi: 10.1038/nri2815

CrossRef Full Text | Google Scholar

246. Carrel L, Willard HF. X-inactivation profile reveals extensive variability in X-linked gene expression in females. Nature (2005) 434:400–4. doi: 10.1038/nature03479

CrossRef Full Text | Google Scholar

247. Conti P, Younes A. Coronavirus COV-19/SARS-CoV-2 affects women less than men: clinical response to viral infection. J Biol Regul Homeost Agents (2020) 34:339–43. doi: 10.23812/Editorial-Conti-3

CrossRef Full Text | Google Scholar

248. Nguyen DK, Disteche CM. Dosage compensation of the active X chromosome in mammals. Nat Genet (2006) 38:47–53. doi: 10.1038/ng1705

CrossRef Full Text | Google Scholar

249. Martin GV, Kanaan SB, Hemon MF, Azzouz DF, El Haddad M, Balandraud N, et al. Mosaicism of XX and XXY cells accounts for high copy number of Toll like Receptor 7 and 8 genes in peripheral blood of men with Rheumatoid Arthritis. Sci Rep (2019) 9:12880. doi: 10.1038/s41598-019-49309-4

CrossRef Full Text | Google Scholar

250. Bianchi I, Lleo A, Gershwin ME, Invernizzi P. The X chromosome and immune associated genes. J Autoimmun (2012) 38:J187–92. doi: 10.1016/j.jaut.2011.11.012

CrossRef Full Text | Google Scholar

251. Lind NA, Rael VE, Pestal K, Liu B, Barton GM. Regulation of the nucleic acid-sensing Toll-like receptors. Nat Rev Immunol (2022) 22:224–35. doi: 10.1038/s41577-021-00577-0

CrossRef Full Text | Google Scholar

252. Behzadi P, Behzadi E, Pawlak-Adamska EA. Urinary tract infections (UTIs) or genital tract infections (GTIs)? It’s the diagnostics that count. GMS Hyg Infect Control (2019) 14:Doc14. doi: 10.3205/dgkh000320

CrossRef Full Text | Google Scholar

253. Gilliet M, Lande R. Antimicrobial peptides and self-DNA in autoimmune skin inflammation. Curr Opin Immunol (2008) 20:401–7. doi: 10.1016/j.coi.2008.06.008

CrossRef Full Text | Google Scholar

254. Park B, Brinkmann MM, Spooner E, Lee CC, Kim Y-M, Ploegh HL. Proteolytic cleavage in an endolysosomal compartment is required for activation of Toll-like receptor 9. Nat Immunol (2008) 9:1407–14. doi: 10.1038/ni.1669

CrossRef Full Text | Google Scholar

255. Sepulveda FE, Maschalidi S, Colisson R, Heslop L, Ghirelli C, Sakka E, et al. Critical role for asparagine endopeptidase in endocytic Toll-like receptor signaling in dendritic cells. Immunity (2009) 31:737–48. doi: 10.1016/j.immuni.2009.09.013

CrossRef Full Text | Google Scholar

256. Ewald SE, Engel A, Lee J, Wang M, Bogyo M, Barton GM. Nucleic acid recognition by Toll-like receptors is coupled to stepwise processing by cathepsins and asparagine endopeptidase. J Exp Med (2011) 208:643–51. doi: 10.1084/jem.20100682

CrossRef Full Text | Google Scholar

257. Ohto U, Shibata T, Tanji H, Ishida H, Krayukhina E, Uchiyama S, et al. Structural basis of CpG and inhibitory DNA recognition by Toll-like receptor 9. Nature (2015) 520:702–5. doi: 10.1038/nature14138

CrossRef Full Text | Google Scholar

258. Garcia-Cattaneo A, Gobert F-X, Müller M, Toscano F, Flores M, Lescure A, et al. Cleavage of Toll-like receptor 3 by cathepsins B and H is essential for signaling. Proc Natl Acad Sci U.S.A. (2012) 109:9053–8. doi: 10.1073/pnas.1115091109

CrossRef Full Text | Google Scholar

259. Hipp MM, Shepherd D, Gileadi U, Aichinger MC, Kessler BM, Edelmann MJ, et al. Processing of human toll-like receptor 7 by furin-like proprotein convertases is required for its accumulation and activity in endosomes. Immunity (2013) 39:711–21. doi: 10.1016/j.immuni.2013.09.004

CrossRef Full Text | Google Scholar

260. Ishii N, Funami K, Tatematsu M, Seya T, Matsumoto M. Endosomal localization of TLR8 confers distinctive proteolytic processing on human myeloid cells. J Immunol (2014) 193:5118–28. doi: 10.4049/jimmunol.1401375

CrossRef Full Text | Google Scholar

261. Maeda K, Akira S. TLR7 structure: cut in Z-loop. Immunity (2016) 45:705–7. doi: 10.1016/j.immuni.2016.10.003

CrossRef Full Text | Google Scholar

262. Shibata T, Ohto U, Nomura S, Kibata K, Motoi Y, Zhang Y, et al. Guanosine and its modified derivatives are endogenous ligands for TLR7. Int Immunol (2016) 28:211–22. doi: 10.1093/intimm/dxv062

CrossRef Full Text | Google Scholar

263. Tanji H, Ohto U, Shibata T, Taoka M, Yamauchi Y, Isobe T, et al. Toll-like receptor 8 senses degradation products of single-stranded RNA. Nat Struct Mol Biol (2015) 22:109–15. doi: 10.1038/nsmb.2943

CrossRef Full Text | Google Scholar

264. Leadbetter EA, Rifkin IR, Hohlbaum AM, Beaudette BC, Shlomchik MJ, Marshak-Rothstein A. Chromatin-IgG complexes activate B cells by dual engagement of IgM and Toll-like receptors. Nature (2002) 416:603–7. doi: 10.1038/416603a

CrossRef Full Text | Google Scholar

265. Lau CM, Broughton C, Tabor AS, Akira S, Flavell RA, Mamula MJ, et al. RNA-associated autoantigens activate B cells by combined B cell antigen receptor/Toll-like receptor 7 engagement. J Exp Med (2005) 202:1171–7. doi: 10.1084/jem.20050630

CrossRef Full Text | Google Scholar

266. Ganguly D, Chamilos G, Lande R, Gregorio J, Meller S, Facchinetti V, et al. Self-RNA-antimicrobial peptide complexes activate human dendritic cells through TLR7 and TLR8. J Exp Med (2009) 206:1983–94. doi: 10.1084/jem.20090480

CrossRef Full Text | Google Scholar

267. Lande R, Gregorio J, Facchinetti V, Chatterjee B, Wang Y-H, Homey B, et al. Plasmacytoid dendritic cells sense self-DNA coupled with antimicrobial peptide. Nature (2007) 449:564–9. doi: 10.1038/nature06116

CrossRef Full Text | Google Scholar

268. Tian J, Avalos AM, Mao S-Y, Chen B, Senthil K, Wu H, et al. Toll-like receptor 9-dependent activation by DNA-containing immune complexes is mediated by HMGB1 and RAGE. Nat Immunol (2007) 8:487–96. doi: 10.1038/ni1457

CrossRef Full Text | Google Scholar

269. Ivanov S, Dragoi A-M, Wang X, Dallacosta C, Louten J, Musco G, et al. A novel role for HMGB1 in TLR9-mediated inflammatory responses to CpG-DNA. Blood (2007) 110:1970–81. doi: 10.1182/blood-2006-09-044776

CrossRef Full Text | Google Scholar

270. Gestermann N, Di Domizio J, Lande R, Demaria O, Frasca L, Feldmeyer L, et al. Netting neutrophils activate autoreactive B cells in lupus. J Immunol (2018) 200:3364–71. doi: 10.4049/jimmunol.1700778

CrossRef Full Text | Google Scholar

271. Herster F, Bittner Z, Archer NK, Dickhöfer S, Eisel D, Eigenbrod T, et al. Neutrophil extracellular trap-associated RNA and LL37 enable self-amplifying inflammation in psoriasis. Nat Commun (2020) 11:105. doi: 10.1038/s41467-019-13756-4

CrossRef Full Text | Google Scholar

272. Greulich W, Wagner M, Gaidt MM, Stafford C, Cheng Y, Linder A, et al. TLR8 is a sensor of RNase T2 degradation products. Cell (2019) 179:1264–1275.e13. doi: 10.1016/j.cell.2019.11.001

CrossRef Full Text | Google Scholar

273. Ostendorf T, Zillinger T, Andryka K, Schlee-Guimaraes TM, Schmitz S, Marx S, et al. Immune sensing of synthetic, bacterial, and protozoan RNA by toll-like receptor 8 requires coordinated processing by RNase T2 and RNase 2. Immunity (2020) 52:591–605.e6. doi: 10.1016/j.immuni.2020.03.009

CrossRef Full Text | Google Scholar

274. Sisirak V, Sally B, D’Agati V, Martinez-Ortiz W, Özçakar ZB, David J, et al. Digestion of chromatin in apoptotic cell microparticles prevents autoimmunity. Cell (2016) 166:88–101. doi: 10.1016/j.cell.2016.05.034

CrossRef Full Text | Google Scholar

275. Al-Mayouf SM, Sunker A, Abdwani R, Al Abrawi S, Almurshedi F, Alhashmi N, et al. Loss-of-function variant in DNASE1L3 causes a familial form of systemic lupus erythematosus. Nat Genet (2011) 43:1186–8. doi: 10.1038/ng.975

CrossRef Full Text | Google Scholar

276. Soni C, Perez OA, Voss WN, Pucella JN, Serpas L, Mehl J, et al. Plasmacytoid dendritic cells and type I interferon promote extrafollicular B cell responses to extracellular self-DNA. Immunity (2020) 52:1022–1038.e7. doi: 10.1016/j.immuni.2020.04.015

CrossRef Full Text | Google Scholar

277. Davenne T, Bridgeman A, Rigby RE, Rehwinkel J. Deoxyguanosine is a TLR7 agonist. Eur J Immunol (2020) 50:56–62. doi: 10.1002/eji.201948151

CrossRef Full Text | Google Scholar

278. Desnues B, Macedo AB, Roussel-Queval A, Bonnardel J, Henri S, Demaria O, et al. TLR8 on dendritic cells and TLR9 on B cells restrain TLR7-mediated spontaneous autoimmunity in C57BL/6 mice. Proc Natl Acad Sci U.S.A. (2014) 111:1497–502. doi: 10.1073/pnas.1314121111

CrossRef Full Text | Google Scholar

279. Fukui R, Saitoh S, Matsumoto F, Kozuka-Hata H, Oyama M, Tabeta K, et al. Unc93B1 biases Toll-like receptor responses to nucleic acid in dendritic cells toward DNA- but against RNA-sensing. J Exp Med (2009) 206:1339–50. doi: 10.1084/jem.20082316

CrossRef Full Text | Google Scholar

280. Fukui R, Saitoh S-I, Kanno A, Onji M, Shibata T, Ito A, et al. Unc93B1 restricts systemic lethal inflammation by orchestrating Toll-like receptor 7 and 9 trafficking. Immunity (2011) 35:69–81. doi: 10.1016/j.immuni.2011.05.010

CrossRef Full Text | Google Scholar

281. Zhang Z, Ohto U, Shibata T, Krayukhina E, Taoka M, Yamauchi Y, et al. Structural analysis reveals that toll-like receptor 7 is a dual receptor for guanosine and single-stranded RNA. Immunity (2016) 45:737–48. doi: 10.1016/j.immuni.2016.09.011

CrossRef Full Text | Google Scholar

282. Tanji H, Ohto U, Shibata T, Miyake K, Shimizu T. Structural reorganization of the Toll-like receptor 8 dimer induced by agonistic ligands. Science (2013) 339:1426–9. doi: 10.1126/science.1229159

CrossRef Full Text | Google Scholar

283. Lee J, Chuang T-H, Redecke V, She L, Pitha PM, Carson DA, et al. Molecular basis for the immunostimulatory activity of guanine nucleoside analogs: activation of Toll-like receptor 7. Proc Natl Acad Sci U.S.A. (2003) 100:6646–51. doi: 10.1073/pnas.0631696100

CrossRef Full Text | Google Scholar

284. Takahashi K, Asabe S, Wieland S, Garaigorta U, Gastaminza P, Isogawa M, et al. Plasmacytoid dendritic cells sense hepatitis C virus-infected cells, produce interferon, and inhibit infection. Proc Natl Acad Sci U.S.A. (2010) 107:7431–6. doi: 10.1073/pnas.1002301107

CrossRef Full Text | Google Scholar

285. Heil F, Hemmi H, Hochrein H, Ampenberger F, Kirschning C, Akira S, et al. Species-specific recognition of single-stranded RNA via toll-like receptor 7 and 8. Science (2004) 303:1526–9. doi: 10.1126/science.1093620

CrossRef Full Text | Google Scholar

286. Wang JP, Bowen GN, Padden C, Cerny A, Finberg RW, Newburger PE, et al. Toll-like receptor-mediated activation of neutrophils by influenza A virus. Blood (2008) 112:2028–34. doi: 10.1182/blood-2008-01-132860

CrossRef Full Text | Google Scholar

287. Sousa SF, Tamames B, Fernandes PA, Ramos MJ. Detailed atomistic analysis of the HIV-1 protease interface. J Phys Chem B (2011) 115:7045–57. doi: 10.1021/jp200075s

CrossRef Full Text | Google Scholar

288. Durrant JD, Urbaniak MD, Ferguson MAJ, McCammon JA. Computer-aided identification of Trypanosoma brucei uridine diphosphate galactose 4’-epimerase inhibitors: toward the development of novel therapies for African sleeping sickness. J Med Chem (2010) 53:5025–32. doi: 10.1021/jm100456a

CrossRef Full Text | Google Scholar

289. Wang Y, Hess TN, Jones V, Zhou JZ, McNeil MR, Andrew McCammon J. Novel inhibitors of Mycobacterium tuberculosis dTDP-6-deoxy-L-lyxo-4-hexulose reductase (RmlD) identified by virtual screening. Bioorg Med Chem Lett (2011) 21:7064–7. doi: 10.1016/j.bmcl.2011.09.094

CrossRef Full Text | Google Scholar

290. Behzadi P, Gajdács M. Worldwide Protein Data Bank (wwPDB): A virtual treasure for research in biotechnology. Eur J Microbiol Immunol (Bp) (2022) 11:77–86. doi: 10.1556/1886.2021.00020

CrossRef Full Text | Google Scholar

291. Viricel C, Ahmed M, Barakat K. Human PD-1 binds differently to its human ligands: a comprehensive modeling study. J Mol Graph Model (2015) 57:131–42. doi: 10.1016/j.jmgm.2015.01.015

CrossRef Full Text | Google Scholar

292. Etheve L, Martin J, Lavery R. Protein-DNA interfaces: a molecular dynamics analysis of time-dependent recognition processes for three transcription factors. Nucleic Acids Res (2016) 44:9990–10002. doi: 10.1093/nar/gkw841

CrossRef Full Text | Google Scholar

293. Hucke O, Coulombe R, Bonneau P, Bertrand-Laperle M, Brochu C, Gillard J, et al. Molecular dynamics simulations and structure-based rational design lead to allosteric HCV NS5B polymerase thumb pocket 2 inhibitor with picomolar cellular replicon potency. J Med Chem (2014) 57:1932–43. doi: 10.1021/jm4004522

CrossRef Full Text | Google Scholar

294. Rastelli G, Ferrari AM, Costantino L, Gamberini MC. Discovery of new inhibitors of aldose reductase from molecular docking and database screening. Bioorg Med Chem (2002) 10:1437–50. doi: 10.1016/s0968-0896(01)00410-2

CrossRef Full Text | Google Scholar

295. Distinto S, Yáñez M, Alcaro S, Cardia MC, Gaspari M, Sanna ML, et al. Synthesis and biological assessment of novel 2-thiazolylhydrazones and computational analysis of their recognition by monoamine oxidase B. Eur J Med Chem (2012) 48:284–95. doi: 10.1016/j.ejmech.2011.12.027

CrossRef Full Text | Google Scholar

296. Lin J-H, Perryman AL, Schames JR, McCammon JA. Computational drug design accommodating receptor flexibility: the relaxed complex scheme. J Am Chem Soc (2002) 124:5632–3. doi: 10.1021/ja0260162

CrossRef Full Text | Google Scholar

297. Amaro RE, Schnaufer A, Interthal H, Hol W, Stuart KD, McCammon JA. Discovery of drug-like inhibitors of an essential RNA-editing ligase in Trypanosoma brucei. Proc Natl Acad Sci U.S.A. (2008) 105:17278–83. doi: 10.1073/pnas.0805820105

CrossRef Full Text | Google Scholar

298. Durrant JD, Hall L, Swift RV, Landon M, Schnaufer A, Amaro RE. Novel naphthalene-based inhibitors of Trypanosoma brucei RNA editing ligase 1. PloS Negl Trop Dis (2010) 4:e803. doi: 10.1371/journal.pntd.0000803

CrossRef Full Text | Google Scholar

299. Pahlavanneshan S, Sayadmanesh A, Ebrahimiyan H, Basiri M. Toll-like receptor-based strategies for cancer immunotherapy. J Immunol Res (2021) 2021:9912188. doi: 10.1155/2021/9912188

CrossRef Full Text | Google Scholar

300. Liu C, Han C, Liu J. The role of toll-like receptors in oncotherapy. Oncol Res (2019) 27:965–78. doi: 10.3727/096504019X15498329881440

CrossRef Full Text | Google Scholar

301. O’Neill LAJ, Bryant CE, Doyle SL. Therapeutic targeting of Toll-like receptors for infectious and inflammatory diseases and cancer. Pharmacol Rev (2009) 61:177–97. doi: 10.1124/pr.109.001073

CrossRef Full Text | Google Scholar

302. Keshavarz A, Pourbagheri-Sigaroodi A, Zafari P, Bagheri N, Ghaffari SH, Bashash D. Toll-like receptors (TLRs) in cancer; with an extensive focus on TLR agonists and antagonists. IUBMB Life (2021) 73:10–25. doi: 10.1002/iub.2412

CrossRef Full Text | Google Scholar

303. Yang Y, Li H, Fotopoulou C, Cunnea P, Zhao X. Toll-like receptor-targeted anti-tumor therapies: Advances and challenges. Front Immunol (2022) 13:1049340. doi: 10.3389/fimmu.2022.1049340

CrossRef Full Text | Google Scholar

304. Matsunaga N, Tsuchimori N, Matsumoto T, Ii M. TAK-242 (resatorvid), a small-molecule inhibitor of Toll-like receptor (TLR) 4 signaling, binds selectively to TLR4 and interferes with interactions between TLR4 and its adaptor molecules. Mol Pharmacol (2011) 79:34–41. doi: 10.1124/mol.110.068064

CrossRef Full Text | Google Scholar

305. Kashani B, Zandi Z, Bashash D, Zaghal A, Momeny M, Poursani EM, et al. Small molecule inhibitor of TLR4 inhibits ovarian cancer cell proliferation: new insight into the anticancer effect of TAK-242 (Resatorvid). Cancer Chemother Pharmacol (2020) 85:47–59. doi: 10.1007/s00280-019-03988-y

CrossRef Full Text | Google Scholar

306. Zandi Z, Kashani B, Bashash D, Poursani EM, Mousavi SA, Chahardoli B, et al. The anticancer effect of the TLR4 inhibition using TAK-242 (resatorvid) either as a single agent or in combination with chemotherapy: A novel therapeutic potential for breast cancer. J Cell Biochem (2020) 121:1623–34. doi: 10.1002/jcb.29397

CrossRef Full Text | Google Scholar

307. Zandi Z, Kashani B, Poursani EM, Bashash D, Kabuli M, Momeny M, et al. TLR4 blockade using TAK-242 suppresses ovarian and breast cancer cells invasion through the inhibition of extracellular matrix degradation and epithelial-mesenchymal transition. Eur J Pharmacol (2019) 853:256–63. doi: 10.1016/j.ejphar.2019.03.046

CrossRef Full Text | Google Scholar

308. Liu H, Zhang G, Huang J, Ma S, Mi K, Cheng J, et al. Atractylenolide I modulates ovarian cancer cell-mediated immunosuppression by blocking MD-2/TLR4 complex-mediated MyD88/NF-κB signaling in vitro. J Transl Med (2016) 14:104. doi: 10.1186/s12967-016-0845-5

CrossRef Full Text | Google Scholar

309. Zhou J, Liu Q, Qian R, Liu S, Hu W, Liu Z. Paeonol antagonizes oncogenesis of osteosarcoma by inhibiting the function of TLR4/MAPK/NF-κB pathway. Acta Histochem (2020) 122:151455. doi: 10.1016/j.acthis.2019.151455

CrossRef Full Text | Google Scholar

310. Wang Y, Tu Q, Yan W, Xiao D, Zeng Z, Ouyang Y, et al. CXC195 suppresses proliferation and inflammatory response in LPS-induced human hepatocellular carcinoma cells via regulating TLR4-MyD88-TAK1-mediated NF-κB and MAPK pathway. Biochem Biophys Res Commun (2015) 456:373–9. doi: 10.1016/j.bbrc.2014.11.090

CrossRef Full Text | Google Scholar

311. Balak DMW, van Doorn MBA, Arbeit RD, Rijneveld R, Klaassen E, Sullivan T, et al. IMO-8400, a toll-like receptor 7, 8, and 9 antagonist, demonstrates clinical activity in a phase 2a, randomized, placebo-controlled trial in patients with moderate-to-severe plaque psoriasis. Clin Immunol (2017) 174:63–72. doi: 10.1016/j.clim.2016.09.015

CrossRef Full Text | Google Scholar

312. Brenner L, Arbeit RD, Sullivan T. IMO-8400, an antagonist of toll-like receptors 7, 8, and 9, in development for genetically defined B-cell lymphomas: safety and activity in phase 1 and phase 2 clinical trials. Blood (2014) 124:3101. doi: 10.1182/blood.V124.21.3101.3101

CrossRef Full Text | Google Scholar

313. Jin MS, Kim SE, Heo JY, Lee ME, Kim HM, Paik S-G, et al. Crystal structure of the TLR1-TLR2 heterodimer induced by binding of a tri-acylated lipopeptide. Cell (2007) 130:1071–82. doi: 10.1016/j.cell.2007.09.008

CrossRef Full Text | Google Scholar

314. Cheng K, Gao M, Godfroy JI, Brown PN, Kastelowitz N, Yin H. Specific activation of the TLR1-TLR2 heterodimer by small-molecule agonists. Sci Adv (2015) 1:e1400139. doi: 10.1126/sciadv.1400139

CrossRef Full Text | Google Scholar

315. Daniele SG, Béraud D, Davenport C, Cheng K, Yin H, Maguire-Zeiss KA. Activation of MyD88-dependent TLR1/2 signaling by misfolded α-synuclein, a protein linked to neurodegenerative disorders. Sci Signal (2015) 8:ra45. doi: 10.1126/scisignal.2005965

CrossRef Full Text | Google Scholar

316. Cen X, Zhu G, Yang J, Yang J, Guo J, Jin J, et al. TLR1/2 specific small-molecule agonist suppresses leukemia cancer cell growth by stimulating cytotoxic T lymphocytes. Adv Sci (Weinheim Baden-Wurttemberg Ger (2019) 6:1802042. doi: 10.1002/advs.201802042

CrossRef Full Text | Google Scholar

317. Schneider C, Schmidt T, Ziske C, Tiemann K, Lee K-M, Uhlinsky V, et al. Tumour suppression induced by the macrophage activating lipopeptide MALP-2 in an ultrasound guided pancreatic carcinoma mouse model. Gut (2004) 53:355–61. doi: 10.1136/gut.2003.026005

CrossRef Full Text | Google Scholar

318. Rosendahl AH, Sun C, Wu D, Andersson R. Polysaccharide-K (PSK) increases p21WAF/Cip1 and promotes apoptosis in pancreatic cancer cells. Pancreatology (2012) 12:467–74. doi: 10.1016/j.pan.2012.09.004

CrossRef Full Text | Google Scholar

319. Kresowik TP, Griffith TS. Bacillus Calmette-Guerin immunotherapy for urothelial carcinoma of the bladder. Immunotherapy (2009) 1:281–8. doi: 10.2217/1750743X.1.2.281

CrossRef Full Text | Google Scholar

320. Lee S-K, Chwee JY, Ma CAP, Le Bert N, Huang CW, Gasser S. Synergistic anticancer effects of Pam3CSK4 and Ara-C on B-cell lymphoma cells. Clin Cancer Res an Off J Am Assoc Cancer Res (2014) 20:3485–95. doi: 10.1158/1078-0432.CCR-13-2522

CrossRef Full Text | Google Scholar

321. Cluff CW, Monophosphoryl lipid A. (MPL) as an adjuvant for anti-cancer vaccines: clinical results. Adv Exp Med Biol (2010) 667:111–23. doi: 10.1007/978-1-4419-1603-7_10

CrossRef Full Text | Google Scholar

322. Chi H, Li C, Zhao FS, Zhang L, Ng TB, Jin G, et al. Anti-tumor activity of toll-like receptor 7 agonists. Front Pharmacol (2017) 8:304. doi: 10.3389/fphar.2017.00304

CrossRef Full Text | Google Scholar

323. Narayan R, Nguyen H, Bentow JJ, Moy L, Lee DK, Greger S, et al. Immunomodulation by imiquimod in patients with high-risk primary melanoma. J Invest Dermatol (2012) 132:163–9. doi: 10.1038/jid.2011.247

CrossRef Full Text | Google Scholar

324. Rook AH, Gelfand JM, Wysocka M, Troxel AB, Benoit B, Surber C, et al. Topical resiquimod can induce disease regression and enhance T-cell effector functions in cutaneous T-cell lymphoma. Blood (2015) 126:1452–61. doi: 10.1182/blood-2015-02-630335

CrossRef Full Text | Google Scholar

325. Geller MA, Cooley S, Argenta PA, Downs LS, Carson LF, Judson PL, et al. Toll-like receptor-7 agonist administered subcutaneously in a prolonged dosing schedule in heavily pretreated recurrent breast, ovarian, and cervix cancers. Cancer Immunol Immunother (2010) 59:1877–84. doi: 10.1007/s00262-010-0914-1

CrossRef Full Text | Google Scholar

326. Spaner DE, Shi Y, White D, Shaha S, He L, Masellis A, et al. A phase I/II trial of TLR-7 agonist immunotherapy in chronic lymphocytic leukemia. Leukemia (2010) 24:222–6. doi: 10.1038/leu.2009.195

CrossRef Full Text | Google Scholar

327. Dummer R, Hauschild A, Becker JC, Grob J-J, SChadendorf D, Tebbs V, et al. An exploratory study of systemic administration of the toll-like receptor-7 agonist 852A in patients with refractory metastatic melanoma. Clin Cancer Res an Off J Am Assoc Cancer Res (2008) 14:856–64. doi: 10.1158/1078-0432.CCR-07-1938

CrossRef Full Text | Google Scholar

328. Tosi P, Zinzani PL, Pellacani A, Ottaviani E, Magagnoli M, Tura S. Loxoribine affects fludarabine activity on freshly isolated B-chronic lymphocytic leukemia cells. Leuk Lymphoma (1997) 26:343–8. doi: 10.3109/10428199709051784

CrossRef Full Text | Google Scholar

329. Pellacani A, Tosi P, Zinzani PL, Ottaviani E, Albertini P, Magagnoli M, et al. Cytotoxic combination of loxoribine with fludarabine and mafosfamide on freshly isolated B-chronic lymphocytic leukemia cells. Leuk Lymphoma (1999) 33:147–53. doi: 10.3109/10428199909093736

CrossRef Full Text | Google Scholar

330. Northfelt DW, Ramanathan RK, Cohen PA, Von Hoff DD, Weiss GJ, Dietsch GN, et al. A phase I dose-finding study of the novel Toll-like receptor 8 agonist VTX-2337 in adult subjects with advanced solid tumors or lymphoma. Clin Cancer Res an Off J Am Assoc Cancer Res (2014) 20:3683–91. doi: 10.1158/1078-0432.CCR-14-0392

CrossRef Full Text | Google Scholar

331. Kim YH, Girardi M, Duvic M, Kuzel T, Link BK, Pinter-Brown L, et al. Phase I trial of a Toll-like receptor 9 agonist, PF-3512676 (CPG 7909), in patients with treatment-refractory, cutaneous T-cell lymphoma. J Am Acad Dermatol (2010) 63:975–83. doi: 10.1016/j.jaad.2009.12.052

CrossRef Full Text | Google Scholar

332. Brody JD, Ai WZ, Czerwinski DK, Torchia JA, Levy M, Advani RH, et al. In situ vaccination with a TLR9 agonist induces systemic lymphoma regression: a phase I/II study. J Clin Oncol Off J Am Soc Clin Oncol (2010) 28:4324–32. doi: 10.1200/JCO.2010.28.9793

CrossRef Full Text | Google Scholar

333. Ursu R, Taillibert S, Banissi C, Vicaut E, Bailon O, Le Rhun E, et al. Immunotherapy with CpG-ODN in neoplastic meningitis: A phase I trial. Cancer Sci (2015) 106:1212–8. doi: 10.1111/cas.12724

CrossRef Full Text | Google Scholar

334. Smith DA, Conkling P, Richards DA, Nemunaitis JJ, Boyd TE, Mita AC, et al. Antitumor activity and safety of combination therapy with the Toll-like receptor 9 agonist IMO-2055, erlotinib, and bevacizumab in advanced or metastatic non-small cell lung cancer patients who have progressed following chemotherapy. Cancer Immunol Immunother (2014) 63:787–96. doi: 10.1007/s00262-014-1547-6

CrossRef Full Text | Google Scholar

335. Friedberg JW, Kelly JL, Neuberg D, Peterson DR, Kutok JL, Salloum R, et al. Phase II study of a TLR-9 agonist (1018 ISS) with rituximab in patients with relapsed or refractory follicular lymphoma. Br J Haematol (2009) 146:282–91. doi: 10.1111/j.1365-2141.2009.07773.x

CrossRef Full Text | Google Scholar

336. Cheng Y, Xu F. Anticancer function of polyinosinic-polycytidylic acid. Cancer Biol Ther (2010) 10:1219–23. doi: 10.4161/cbt.10.12.13450

CrossRef Full Text | Google Scholar

337. Cheng K, Wang X, Yin H. Small-molecule inhibitors of the TLR3/dsRNA complex. J Am Chem Soc (2011) 133:3764–7. doi: 10.1021/ja111312h

CrossRef Full Text | Google Scholar

338. De Waele J, Verhezen T, van der Heijden S, Berneman ZN, Peeters M, Lardon F, et al. A systematic review on poly(I:C) and poly-ICLC in glioblastoma: adjuvants coordinating the unlocking of immunotherapy. J Exp Clin Cancer Res (2021) 40:213. doi: 10.1186/s13046-021-02017-2

CrossRef Full Text | Google Scholar

339. Lee J, Ji K, Kho YL, Kim P, Choi K. Chronic exposure to diclofenac on two freshwater cladocerans and Japanese medaka. Ecotoxicol Environ Saf (2011) 74:1216–25. doi: 10.1016/j.ecoenv.2011.03.014

CrossRef Full Text | Google Scholar

340. Morales A, Eidinger D, Bruce AW. Intracavitary bacillus calmette-guerin in the treatment of superficial bladder tumors. J Urol (1976) 116:180–2. doi: 10.1016/S0022-5347(17)58737-6

CrossRef Full Text | Google Scholar

341. Guo X, Du L, Ma N, Zhang P, Wang Y, Han Y, et al. Monophosphoryl lipid A ameliorates radiation-induced lung injury by promoting the polarization of macrophages to the M1 phenotype. J Transl Med (2022) 20:597. doi: 10.1186/s12967-022-03804-x

CrossRef Full Text | Google Scholar

342. Litak J, Grochowski C, Litak J, Osuchowska I, Gosik K, Radzikowska E, et al. TLR-4 Signaling vs. Immune Checkpoints, miRNAs Molecules, Cancer Stem Cells, and Wingless-Signaling Interplay in Glioblastoma Multiforme-Future Perspectives. Int J Mol Sci (2020) 21:3114. doi: 10.3390/ijms21093114

CrossRef Full Text | Google Scholar

343. Sfondrini L, Rossini A, Besusso D, Merlo A, Tagliabue E, Mènard S, et al. Antitumor activity of the TLR-5 ligand flagellin in mouse models of cancer. J Immunol (2006) 176:6624–30. doi: 10.4049/jimmunol.176.11.6624

CrossRef Full Text | Google Scholar

344. Liang Z, Cui X, Yang L, Hu Q, Li D, Zhang X, et al. Co-assembled nanocomplexes of peptide neoantigen Adpgk and Toll-like receptor 9 agonist CpG ODN for efficient colorectal cancer immunotherapy. Int J Pharm (2021) 608:121091. doi: 10.1016/j.ijpharm.2021.121091

CrossRef Full Text | Google Scholar

345. Rolfo C, Giovannetti E, Martinez P, McCue S, Naing A. Applications and clinical trial landscape using Toll-like receptor agonists to reduce the toll of cancer. NPJ Precis Oncol (2023) 7:26. doi: 10.1038/s41698-023-00364-1

CrossRef Full Text | Google Scholar

346. Yin S-Y, Yang N-S, Lin T-J. Phytochemicals approach for developing cancer immunotherapeutics. Front Pharmacol (2017) 8. doi: 10.3389/fphar.2017.00386

CrossRef Full Text | Google Scholar

347. Oosenbrug T, van de Graaff MJ, Ressing ME, van Kasteren SI. Chemical tools for studying TLR signaling dynamics. Cell Chem Biol (2017) 24:801–12. doi: 10.1016/j.chembiol.2017.05.022

CrossRef Full Text | Google Scholar

348. Behzadi P, Ranjbar R. DNA microarray technology and bioinformatic web services. Acta Microbiol Immunol Hung (2019) 66:19–30. doi: 10.1556/030.65.2018.028

CrossRef Full Text | Google Scholar

349. Huang R, Sun Z, Xian S, Song D, Chang Z, Yan P, et al. The role of toll-like receptors (TLRs) in pan-cancer. Ann Med (2022) 54:1918–37. doi: 10.1080/07853890.2022.2095664

CrossRef Full Text | Google Scholar