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REVIEW article

Front. Oncol., 11 July 2022
Sec. Molecular and Cellular Oncology
This article is part of the Research Topic Women in Molecular and Cellular Oncology, volume II: 2022 View all 15 articles

Non-Coding RNAs and Oral Cancer: Small Molecules With Big Functions

Leila ErfanparastLeila Erfanparast1Mohammad Taghizadieh*Mohammad Taghizadieh2*Ali Akbar ShekarchiAli Akbar Shekarchi3
  • 1Department of Pediatric Dentistry, Faculty of Dentistry, Tabriz University of Medical Sciences, Tabriz, Iran
  • 2Department of Pathology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
  • 3Department of Pathology, Tabriz University of Medical Sciences, Tabriz, Iran

Oral cancer remains a major public concern with considerable socioeconomic impact in the world. Despite substantial advancements have been made in treating oral cancer, the five-year survival rate for oral cancer remained undesirable, and the molecular mechanisms underlying OSCC carcinogenesis have not been fully understood. Noncoding RNAs (ncRNAs) include transfer RNAs (tRNAs), as well as small RNAs such as microRNAs, and the long ncRNAs such as HOTAIR are a large segment of the transcriptome that do not have apparent protein-coding roles, but they have been verified to play important roles in diverse biological processes, including cancer cell development. Cell death, such as apoptosis, necrosis, and autophagy, plays a vital role in the progression of cancer. A better understanding of the regulatory relationships between ncRNAs and these various types of cancer cell death is therefore urgently required. The occurrence and development of oral cancer can be controlled by increasing or decreasing the expression of ncRNAs, a method which confers broad prospects for oral cancer treatment. Therefore, it is urgent for us to understand the influence of ncRNAs on the development of different modes of oral tumor death, and to evaluate whether ncRNAs have the potential to be used as biological targets for inducing cell death and recurrence of chemotherapy. The purpose of this review is to describe the impact of ncRNAs on cell apoptosis and autophagy in oral cancer in order to explore potential targets for oral cancer therapy.

Introduction

Oral cancer is a common and fatal malignancy among head and neck malignant neoplasms; the number of new cases of oral cancer globally was 354,864 in 2018 (1). At present, principal treatments of oral cancer include extensive exeresis of the primary carcinoma, with or without neck dissection, and pre-or postoperative adjuvant chemotherapy and radiotherapy (2). However, the overall 5-year survival rate of patients with oral cancer was 65%, and the overall 5-year survival rate of patients with advanced oral cancer was as low as 27% between 2007 and 2013 in the USA (3). Despite the application of reconstructive radical resection and postoperative radiotherapy or chemotherapy, the 5-year survival rate of patients with terminal oral cancer has not improved effectively over the past years (46). Furthermore, the dysphagia, maxillofacial malformation and dysarthria induced by the aforementioned therapies negatively affect the quality of life and psychology of patients (7). Therefore, there is a requirement to identify more effective treatment strategies to improve the survival rate and reduce complications of patients with oral cancer.

Programmed cell death (PCD) may balance cell death with the survival of normal cells; the equilibrium becomes disturbed and PCD plays key roles in ultimate decisions of cancer cell fate. Of note, apoptosis, autophagy, and programmed necrosis are the three main forms of PCD, easily distinguished by their morphological differences (8). Apoptosis, or type I PCD, was first described by Kerr et al. (9), and is characterized by specific morphological and biochemical changes of dying cells, including cell shrinkage, nuclear condensation and fragmentation, dynamic membrane blebbing, and loss of adhesion to neighbors or to extracellular matrix (8). Biochemical changes include chromosomal DNA cleavage into internucleosomal fragments, phosphatidylserine externalization, and a number of intracellular substrate cleavages by specific proteolysis (10, 11). Autophagy, or type II PCD, is an evolutionarily conserved catabolic process beginning with the formation of autophagosomes, double membrane-bound structures surrounding cytoplasmic macromolecules and organelles, destined for recycling (12). In general, autophagy plays a crucial pro-survival role in cell homeostasis, required during periods of starvation or stress due to growth factor deprivation (13). However, there is accumulating evidence that autophagic cells may commit suicide by undergoing cell death and coping with excessive stress, which differs from apoptosis and programmed necrosis (14). As ‘the Janus role’, autophagy controls a myriad of physiological processes including starvation, cell differentiation, cell survival and death. Besides apoptosis and autophagy, there exists a type III PCD termed programmed necrosis, which involves cell swelling, organelle dysfunction and cell lysis (15). Thus, PCD may play an important role during the preservation of tissue homoeostasis and elimination of damaged cells, – this has profound effects on malignant tissues (8).

Non-coding RNAs (ncRNAs) are transcripts that do not code for proteins, which can be roughly divided into small non-coding RNAs (smaller than 200 nt) and long non-coding RNAs (lncRNAs, longer than 200 nt) (1625). NcRNAs account for the majority of transcriptome, interestingly the amount of ncRNAs correlates with organismal complexity (26). Emerging evidence showed that ncRNAs have regulatory roles in diverse cellular processes both in biological and pathological conditions including cancer (25, 2733). Their roles in cancer progression are being appreciated (29, 34, 35). Among them, microRNAs (miRNAs), long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) are actively studied in recent years. Research is accelerating to decipher the underlying mechanism of ncRNA-regulated oral cancer progression (36, 37). Table 1 shows classification of non-coding RNAs is given in.

TABLE 1
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Table 1 Classification of non-coding RNAs.

Alterations in the molecular mechanisms of cell death are a common feature of oral cancer, like other cancer types. These alterations enable malignant cells to survive intrinsic death signaling leading to the accumulation of genetic aberrations and helping them to cope with adverse conditions (42). Although pharmacological targeting of cell death pathways has been the subject of intensive efforts in recent decades with a dominant focus on targeting apoptosis, the identification of factors like ncRNAs that regulates death pathways can open novel avenues for intervention in oral cancer cells and the immune system. In this mini-review, we discuss the importance of ncRNAs in the regulation of two key cell death processes, apoptosis, and necroptosis, of oral cancer cells and delineate the role of ncRNAs in controlling the molecular networks of these forms of cell death during oral carcinogenesis.

Oral Cancer

Oral cancer is a subcategory of head and neck cancers that initiates inside the mouth involving anterior two-thirds of the tongue, gingivae, mucosal lining of lips and cheeks, sublingual floor of the mouth, the hard palate and the small retromolar area (43, 44). Signs and symptoms associated with oral cancer include a lump or non-healing sore/ulcer present for more than 14 days, presence of soft red, white or speckled (red and white) patches in the mouth, difficulty in swallowing, chewing, speaking, jaw or tongue movements, malocclusion or ill-fitting dentures and sudden weight loss (45). Oral cancers are the 6th leading cancer by incidence in the world and 90% of these are histologically squamous cell carcinoma (46). The 5-year survival rate is <50% in advanced cases with women having a more favorable outcome (47). The prognosis of these patients is always reliant on age, lymph node involvement and primary tumor size and location (42, 48). The most common risk factors include the premalignant conditions, consumption of tobacco, betel nut, alcohol along with poor oral hygiene, UV radiations, Epstein Barr Virus (EBV) and Human Papilloma Virus (HPV) especially HPV 16 and 18 (49).

Accumulating evidence supports the idea that human microbiome are strongly associated with several tumor types. Oral squamous cell carcinoma(OSCC) is the most frequently studied oral malignancy and it is also the most prevalent head and neck cancer overally. However, there is debate considering the potent role of oral microbiome in the development of OSCC. A distinctive composition of oral microbiome associated with OSCC was not found in previous studies. Individual oral microbiome have the capability to enhance different tumor-promoting mutations in the pathogenesis of OSCC,however a direct casusal relationship has not been yet verified (50, 51). Fusobacterium nucleatum and Porphyromonas gingivalis, the two main oral microorganisms, have been shown to enhance tumorigenesis in mice. Infection with P. gingivalis was associated with tumors of the oro-digestive tract, enhanced invasiveness of oral cancer and increase proliferation of related stem cells (50). Previous studies have shown that periodontal inflammation may enhance inflammation in the gut in vivo through transferring oral pathobionts to the gut, which activates colonic mononuclear phagocytes inflammasome and promotes inflammation (52, 53). Moreover, periodontitis leads to formation of reactive Th17 cells against oral pathogens. These reactive Th17 cells then migrate to the gut. In the gut, these orally-based Th17 cells become activated by oral pathobionts translocated from the oral cavity and initiate colitis, mweanwhile the micribiota of the gut do not activate these cells (50). Whether inflammation of the gut may exert similar effect on the oral cavity environment and increases the severity of inflammatory reactions and head and neck cancers, has not been yet elucidated. There are few studies on the impact of the gut microbiome on the immune response to oral cavity cancer, but they may be worthwhile to pursue.

The extent of oral cancer spread is estimated by staging the cancer. The commonly used staging system for oral cancer is TNM system, where T (for tumor) defines the size of the primary tumor. It is further categorized from 1 to 4 on the basis of tumor size, a higher number indicates larger size. N (for lymph nodes) shows extend of cancer spread to lymph nodes in the vicinity of the organ. It is further categorized to N0 (no spread), N1, N2, or N3. The N1-N3 shows the number of lymph nodes involved alongside their location and size. M (for metastasis) describes cancer spread to other parts of the body via lymph or blood. It is further classified to M0 (no spread) and M1 (spread). Overall oral cancer staging is given as Table 2 (42):

TABLE 2
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Table 2 TNM classification of carcinomas of the lip and oral cavity (54).

In addition, classification of tumors of the oral cavity and mobile tongue based on WHO classification is summarized in below:

(A) Malignant Surface Epithelial Tumors: the major modification in this group is the oropharynx exclusion. Different OSCC(oral squamous cell carcinoma) subtypes are adenosquamous carcinoma,spindle cell carcinoma, basaloid SCC, papillary SCC,carcinoma cuniculatum, verrucous carcinoma, acantholytic SCC, and lymphoepithelial SCC (55). (B) Oral Potentially Malignant Disorders and Oral Epithelial Dysplasia: this group has been renamed from combining sections entitled Epithelial precursor lesions and Proliferative verrucous leukoplakia and precancerous lesions. A recently described type of dysplasia which is positive for high-risk HPV with characteristic histology (HPV-associated oral dysplasia) was added to the 4th edition, however the clinical significance of this finding is not clearly known as malignant transformation risk is poorly determined. (C) Papillomas : Condyloma acuminatum, Squamous cell papilloma, Verruca vulgaris, and Multifocal epithelial hyperplasia. (D) Tumours of uncertain histogenesis: Congenital granular cell epulis, and Ectomesenchymal chondromyxoid tumour. (E) Soft tissue and neural tumors: Rhbadomyoma, Granular cell tumour, Haemangioma, Lymphangioma, Kaposi sarcoma, Schwannoma,Myofibroblastic sarcoma and neurofibroma. (F) Oral mucosal melanoma, (G) Salivary type tumors: Mucoepidermoid carcinoma and Pleomorphic adenoma, and (H) Haematolymphoid tumours: CD30-positive T-cell lymphoproliferative disorder, Langerhans cell histiocytosis, plasmablastic lymphoma and extramedullary myeloid sarcoma (5557).

The stage of the disease usually determines the primary option for the treatment of oral cancer. The treatment options include surgical resection, chemotherapy, radiotherapy, immunotherapy alone or in combination. Despite favorable advancements in the conventional therapeutic modalities, many disadvantages still need to be addressed; surgical resection may lead to long-lasting disfigurements, multiple corrective surgeries usually cause considerable deformities that leaves patients in psycho-social stress and isolation, whereas radio- or chemo- therapies end up with significant toxicities or treatment resistance, all compromising the patients’ quality of life and well-being (58, 59). Also, locoregional relapse may occur after years of the treatment leading to recurrent growth of the cancers (60). The effectiveness of different therapeutic modalities is largely dependent on the mutational profile of tumors as genetic alterations confer new oncogenic potential to cancer cells. The precise targeting of these alterations together with treatment regimen modifications decreases therapeutic resistance and may result in countless lives being saved from potential morbidity and mortality (42).

Programmed Cell Death and Cancer

Cancer, a complex genetic disease resulting from mutation of oncogenes or tumor suppressor genes, can be developed due to alteration of signaling pathways; it has been well known to have numerous links to PCD (61). Apoptosis (type I PCD) is the major type of cell death that occurs when DNA damage is irreparable. Two core pathways exist to induce apoptosis, the extrinsic – death receptor pathway and intrinsic – mitochondrial pathway (62, 63). The extrinsic pathway is triggered by binding of Fas (and other similar receptors such as tumor necrosis receptor 1 and its relatives) plasma‐membrane death receptor with its extracellular ligand, Fas‐L. When death stimuli occur, Fas‐L combines with Fas to form a death complex. The Fas/Fas‐L composite recruits death domain‐containing protein (FADD) and pro‐caspase‐8, aggregating to become the death‐inducing signaling complex (DISC). Consequently, the protein complex activates its pro‐caspase‐8, which proceeds to trigger pro‐caspase‐3, the penultimate enzyme for execution of the apoptotic process (9). The intrinsic pathway also leads to apoptosis but under the control of mitochondrial pro‐enzymes. In both cases if a cell becomes initiated by either extracellular stimuli or intracellular signals, outer mitochondrial membranes become permeable to internal cytochrome c, which is then released into the cytosol. Cytochrome c recruits Apaf–1 and pro‐caspase‐9 to compose the apoptosome, which downstream triggers a caspase 9/3 signaling cascade, culminating (as concludes the extrinsic pathway) in apoptosis (64). Accumulating evidence has shown that abnormal expression of some key regulatory factors may lead to cancer, indicating the intricate relationships between apoptosis and cancer.

Autophagy is a major, regulated, catabolic mechanism with many links to processes that occur in malignant cells, and highly regulated by some autophagy‐related genes (ATGs). It is a crucial mechanism that responds to either extra‐ or intracellular stress, and can result in cell survival under certain circumstances; however, over‐activation of autophagy may result in autophagic cell death (65). When analyzing relationships between autophagy and cancer, a common challenge is to determine whether autophagy protects cell survival or contributes to cell death. Autophagy is well known to be crucial for cell survival under extreme conditions, and degradation of intracellular macromolecules provides energy required for minimal cell functioning when nutrients are scarce. Consequently, autophagic activation can play a protective role in early stages of cancer progression. On the other hand, however, autophagy can perform as a tumor suppressor by activating pro‐autophagic genes and blocking anti‐autophagic genes in oncogenesis (65, 66). However, reminiscent of the Roman god Janus, autophagy can also play the reverse part – a pro‐tumor role in carcinogenesis – by regulating a number of pathways involving Beclin‐1, Bcl‐2, Class III and I PI3K, mTORC1/C2 and p53 (67).

Biogenesis and Function of MicroRNAs and Their Roles in Programmed Cell Death of Oral Cancer

MicroRNAs (miRNAs) are small (20–23 nts) and non-coding RNA molecules that negatively influence gene expression by binding to mRNAs and thereby promoting degradation of the target mRNA or blocking its translation into protein (19, 6879).

MiRNA biogenesis is initiated from the nucleus similar to other RNAs (8083). These non-coding RNAs are primarily synthesized as primary transcripts or pri-miRNAs by RNA polymerase II (RNA pol II), which are processed by the RNAse III, Drosha into pre-miRNAs with long hairpin precursors of ∼70–100 nucleotides. After Drosha processing, pre-miRNAs are transferred for cytoplasmic maturation. The protein exportin 5 combines with the pre-miRNA and GTP-binding nuclear protein RAN GTP and forms a transport complex (84). Following movement through the nuclear pore complex, GTP is degraded and leads to disassembly of the complex and release of the pre-miRNA into the cytoplasm (85, 86). Pre-miRNAs are then degraded by Dicer in the cytoplasm to generate mature miRNAs, leading to the production of a double-stranded ∼22-nt product, made up of the the mature miRNA guide strand and miRNA* passenger strand. This mature miRNA is subsequently loaded into the RISC(RNA-induced silencing complex). Accumulating evidence has found that the passenger strand may be loaded into the RISC complex in certain thermodynamic conditions (87, 88). RISC complex can detect target mRNA based on base-pair complementarity and lead to cleavage of the mRNA and/or suppression of the mRNA.

In addition, two strands comprise the miRNA duplex, known as the suffix -3p or -5p (26). One of these strands, is typically discarded (the passenger strand; annotated *), while the oher strand plays part in guiding eventual target selection of mRNA(the guide strand). Strand selection is mainly dependent on the thermodynamic characteristics of the duplex; the strand that is more loosely bound to the 5′-end of the duplex is likely to function as the guide strand. Additional features of miRNA guide strands include an excess of a purines (A/G rich) at the 5′-end and a U-bias, while the passenger strands contain excess pyrimidines (U/C rich) and a C-bias at the 5′-end. Meanwhile, the guide strand can be modified through different processes, such as duplex post-transcriptional modification, single point mutation in the duplex and specific proteins related to the Ago2 in the RISC complex(protein activator of dsRNA-dependent protein kinase versus trans-activation response RNA-binding protein) (8992). Consequently, both arms comprising a pre-miRNA hairpin can guide miRNAs (93) that are biologically functional (19).

MicroRNAs act as key regulators of a wide variety of cellular mechanisms and physiological processes, such as cell cycle progression, cell division, apoptosis and necroptosis (62, 62, 94102). Recent studies have demonstrated that numerous miRNAs can strongly affect the expression of pro- and anti-apoptotic genes, oncogenes, ER stress- and/or necroptosis-related genes (20, 103). Aberrations involving miRNAs implicated in apoptosis or necroptosis could also impact physiological conditions and promote disease, including carcinogenesis and infection diseases (19, 104106). Numerous studies have demonstrated that miRNAs usually target multiple mRNAs and they could act as so-called apopto-miRs, oncomiR or tumor suppressor miRNAs in different cancers. Apopto-miRs are miRNAs involved in apoptosis, whereas oncomiRs promote tumor development (107). Elucidating the roles of oncomiRs and apopto-miRs in particular types of cancers can aid in their utility as tumor biomarkers for diagnosis, prognosis and selecting the most suitable treatment option for cancer patients.

MiRNAs can be used as treatment options in two different strategies. One approach is mediated by a gain of function and acts to suppress proto-oncogenic miRNAs through administering antagonists of miRNAs, including such as antagomiRs, locked-nucleic acids (LNA) and anti-miRs. The second approach, is directed by replacing a tumor-suppressor miRNA analogue to aim a loss of function. Among these strategies, the inhibitory approach is more generally and theoretically acceptable as it is in harmony with short interfering RNAs(siRNA) and small molecule inhibitors, however, the replacement strategy provides a novel opportunity to identify the therapeutic potential for tumor suppressors (108). Mimics of miRNA are synthetic oligonucleotides of two strands processed into single-stranded miRNA to control target genes expression in target cells (109). Gene therapy has been used in the past to therapeutically recover tumor suppressor levels in tumor tissues; however, a practical application of this strategy is still awaiting. MiRNAs bring in new opportunities, as in contrast to tumor-suppressor proteins, miRNA mimics are significantly smaller and do not usually require entery to the target cells to become activated and can be administered by systemic routes and technologies frequently also used by siRNAs. As a result, the delivery barrier for miRNA mimics appears to be lower than it is for protein-encoding DNA. Moreover, numerous different observations encourage the strategy of miRNA replacement therapy: (i)The majority of differentially expressed miRNAs are decreased in tumor tissue compared to normal tissue, suggesting that miRNAs are more likely to act as tumor suppressors than oncogenes (108, 110).; and (ii) suppression of the processing of endogenous miRNA leads to an oncogenic transformation and accentuates tumor formation, indicating that the miRNA tumor-suppressive role dominates against its oncogenic role (111). Another benefit of miRNA mimics is that it has a similar sequence to the naturally occurring miRNA, and thus is considered to target the same mRNAs, which is also regulated by natural miRNAs. Non-specific unusual effects are not frequent as miRNA mimics are thought to act as the naturally occurring counterpart of interactions between miRNA-mRNA, which have evolved over a billion years. However, the main reason to identify the therapeutic potentials of miRNAs is dependent on the fact that several oncogenes and oncogenic processes commonly dys-regulated in cancer, can be regulated by a single miRNA (112).As a result, miRNAs function in harmony with our previous observations of cancer as a “pathway disease”, which may only be effectively treated with modifying several oncogenic pathways (108, 113).

The imbalance between proliferation and apoptosis is one of the most remarkable features of cancer cells. Therefore, investigating the regulatory mechanisms of proliferation and apoptosis is of great importance for cancer research. It has been well documented that resistance to apoptosis caused by several genetic aberrations may promote the uncontrolled growth, invasion, and metastasis of cancer cells (114). Apoptosis, as programmed cell death, is mainly mediated by two pathways: The mitochondrial pathway and the death receptor pathway (62, 115). It has been confirmed that the release of cytochrome c from the mitochondria into the cytosol may trigger the apoptosis via promoting the pro-apoptotic protein Bax expression, followed by the downstream activation of caspase-9 and caspase-3 (116, 117). Subsequently, PARP, as a substrate of caspase-3, is cleaved and activated to induce apoptosis (118). Recently, Cui et al. (119) investigated the regulation of miR-378 in the mitochondrial-mediated apoptotic signaling pathway of oral squamous carcinoma cells (OSCC). The results of their study showed that overexpression of miR-378 suppressed the proliferation and induced apoptosis of OSCC cells, while knockdown of miR-378-3p/5p led to the opposite results. Besides, miR-378 overexpression promoted the release of cytochrome c from the mitochondria into the cytosol, up-regulated the Bax/Bcl-2 ratio, and raised the cleaved caspase-9, cleaved caspase-3, and cleaved PARP levels in OSCC cells. Conversely, inhibition of miR-378-3p/5p expression obtained the opposite results. These results suggested that miR-378 participated in the dysregulation of proliferation and apoptosis in OSCC cells (119).

PI3K/AKT is an important signaling pathway, which regulates progression in numerous different types of tumors. The PI3K/AKT pathway is closely associated with apoptosis. This pathway controls cell proliferation, growth, translation, migration, and survival, and overactivation of this signaling pathway is associated with poor prognosis (120, 121). Activated PI3K may activate downstream protein kinase AKT; Activated AKT is able to phosphorylate Bax, inactivate Bax, and inhibit Bax and Bcl-2 to form dimers, thereby resulting in Bcl-2 dissociation and an anti-apoptotic effect (122, 123). Reportedly, miRNAs by regulating the PI3K/AKT signaling pathway can lead to modulation of oral cancer cell apoptosis. For example, miR-21-5p targeting PDCD4 suppresses apoptosis via regulating the PI3K/AKT/FOXO1 signaling pathway in tongue squamous cell carcinoma (TSCC). Also, inhibition of miR21-5p suppressed the PI3K/AKT/FOXO1 signaling pathway, suggesting that inhibiting the activation of the PI3K/AKT/FOXO1 signaling pathway may be a potential strategy for the treatment of TSCC (124). In addition, miR-378 overexpression was resulted in a decreased p-AKT level, whereas miR-378-3p/5p silencing could raise the p-AKT level in OSCC cells. Therefore, the PI3K/AKT signaling pathway was involved in the regulatory mechanisms of miR378 in OSCC (119). In addition, as shown in Figure 1, miR-29b suppresses proliferation, migration, and induces apoptosis of tongue squamous cell carcinoma through PTEN–AKT signaling pathway by targeting Sp1.

FIGURE 1
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Figure 1 Schematic of pathways involved in the tumor-suppressor role of miR-29b in TSCC cells.

MiR-21 is commonly upregulated in toungue squamous cell carcinoma and carries an unfavorable prognosis by suppressing cellular apoptosis.On the other hand, its reduced expression was found to be associated with resistance to chemotherapy (125). In TSCC, high expression of miR-21 was associated with reduced expression of PTEN(phosphatase tensin homologue) and TPM1(tropomyosin1) (126). Several other important tumor suppressor and oncogenic targets were detected for miR-21 in tumors of the head and neck, including Ras, HNRPK, reversion inducing cysteine rich protein with kazal motifs (RECK)andprogrammed cell death 4 (PDCD4) (125). Furthermore, Zhang et al. (127), found that miR-21 can affect generation of ROS (reactive oxygen species) through direct mitigating the activity of SOD3 (superoxide dismutase family member 3), and through indirect attenuating the production of the pro-inflammatory mediator, tumor necrosis factor (TNF)-α, thus decreasing levels of SOD2 to facilitate carcinogenesis. Similarly, high expression of miR-2463 and miR-18462 is associated with decreased cellular apoptosis and augmented cellular proliferation (128). Upregulation of miR-184 exerts anti-apoptotic effects by targeting c-Myc and the apoptosis-related gene, TNFAIP2 (129, 130). Another study suggests that ectopic production of miR-184 inhibits the Akt pathway, which is linked to increased cell apoptosis and death, explaining the effects of miR-184 on epithelial cells and cancer cell lines via Akt signaling (131). Highly expressed miR-24 in oral squamous cell carcinoma appears to directly target DND1(RNA binding protein dead end 1), which leads to resistance to apoptosis.

p27Kip1 is a cyclin-dependent kinase inhibitor that regulates the progression of cells from G1 into the S phase in a cell cycle. p27Kip1 knockdown both inhibited G1 phase arrest and enhanced ER stress-induced cell apoptosis (132). Thus, deregulation of p27Kip1 has been associated with disease progression and an unfavorable outcome in several malignancies (133). Kudo et al. (134) demonstrated that Skp2 siRNA apparently inhibited p27Kip1 protein degradation, thus restraining oral cancer cell proliferation. It indicated that p27Kip1 upregulation played a role in weakening the malignancy of oral cancer cells (134). Fu et al. (135) exhibited that miR-155 targeted p27Kip1 gene and suppression of miR-155 lead to upregulated p27Kip1 level, reduced cell proliferation, and blocked cell cycle, which was similar to Kudo (134). In addition, Fu and colleagues (135) observed that antagomiR-155 transfection upregulated the CDC73 level in oral cancer cell line KB, thus promoting cell apoptosis and weakening the tumorigenicity in nude mice. This study revealed the role of miR-155 upregulation in reducing p27Kip1 expression and OSCC oncogenesis (135). As result, miR-155 regulates OSCC cells (Tca8113 cell) proliferation, cycle, and apoptosis via regulating p27Kip1.

Bmi-1, a polycomb ring finger oncogene, is highly expressed in multiple cancer cells and is involved in cancer cell proliferation, invasion, and apoptosis (136). Bmi-1 was first shown to collaborate with c-MYC in tumorigenesis in mice by suppressing the INK4A locus, which encodes (both p16Ink4a and p14ARF), two proteins that function to suppress cell proliferation and promote apoptosis (137). Recently, several studies have shown evidence for miRNA-mediated regulation of Bmi-1. miR-128a increases intracellular reactive oxygen species levels by targeting Bmi-1, which inhibits the growth of medulloblastoma cells (138) and miR-218 inhibits cell proliferation and cell cycle progression and promotes apoptosis by downregulating Bmi-1 in colorectal cancer cells (139). KIM et al. (140) suggested that the miR-203-induced apoptosis in YD-38 oral cancer cells was related to the suppression of Bmi-1. The result of this study demonstrated that miR-203 expression was significantly down-regulated in YD-38 cells compared to expression levels in normal human oral keratinocytes. miR-203 can decrease the viability of YD-38 cells in a time- and dose-dependent manner. In addition, over-expression of miR-203 significantly increased not only DNA segmentation but also the apoptotic population of YD-38 cells. These results indicate that miR-203 overexpression induces apoptosis in YD-38 cells. In addition, they found that both mRNA and protein levels of Bmi-1 were significantly reduced in YD-38 cells transfected with miR-203. These results indicate that Bmi-1 is a target gene of miR-203. miR-203 induces apoptosis in YD-38 cells by directly targeting Bmi-1, which suggests its possible application as an anti-cancer therapeutic. Although Bmi-1 is an important target of miR-203-induced apoptosis in YD-38 human oral cancer cells, they also suggested that miR-203 might regulate other genes (140).

Transforming growth factor (TGF)-β1 is known to regulate various cellular responses, including apoptosis, metastasis, cell proliferation, and differentiation (141). In the TGF-β1 pathway, Smad2 and Smad3 are receptor-regulated effector proteins, and TGF-β induces apoptosis through Smad-mediated expression of death-associated protein kinase (141). Recently, Huang and colleagues (142) investigated the role and mechanism of miR−18a-5p in OSCC and it was revealed that miR−18a-5p was highly expressed in SCC9 cells compared with normal cells. Then the effect of miR−18a-5p upregulation and miR−18a-5p downregulation was investigated on SCC9 cell viability, migration, invasion and apoptosis. They found that overexpression of miR−18a-5p could promote SCC9 cell viability, migration, invasion and inhibit cell apoptosis. While miR−18a-5p downregulation inhibited SCC9 cell viability, migration, invasion and induced cell apoptosis. These results indicated that miR−18a-5p acts as an oncogene to participate in OSCC progression and tumorigenesis by regulating the TGF-β1/Smad2 pathway (142). Also, several studies have shown miR-18a-5p was upregulated in several cancers such as (143, 144), hepatocellular carcinoma, prostate cancer and other cancers and can be act as oncomiR by inhibiting apoptosis of cancer cells (145147). Also, in OSCC cells, miR−18a-5p acts as an oncogene by targeting tumor suppressor genes related to apoptosis.

HOX genes belong to a superfamily of homeobox genes that encodes transcription factors with important effects on modulating primary cellular processes, including cell recognition, growth, and differentiation, which was recently discovered to be regulated by miRNAs (148). Genes of the HOX family are highly expressed in leukemias, melanomas, and in breast, ovarian, cervical, esophageal, and prostate cancers (149152). In addition, the aberrant expression of HOX genes was observed in OSCC (153). HOXB7, a member of the HOX family of homeodomain transcription factors, is a critical developmental regulator which influences the proliferation and survival of progenitor cells. However, its upregulation has been reported in several malignancies which contributed to tumorigenesis (154). Accumulating evidence has shown that HOXB7 was crucial to promoting cell proliferation and migration to participate in tumorigenesis and inhibit cell apoptosis (155, 156). Wang et al. (157) reported miR-376c-3p directly targeted HOXB7 and reduced the expression of HOXB7. They found that the expression level of MiR-376c-3p was down-regulated while HOXB7 was up-regulated in OSCC tissues and cells than the normal ones. Moreover, the overexpression level of miR-376c-3p suppressed proliferation, viability, migration, and invasion and induced G1/G0 arrest and cell apoptosis of SCC-25 cells. As result, they reported that miR-376c-3p induced cell apoptosis of OSCC via targeting HOXB7 and suggested it useful to replenish the expression of miR-376c-3p for the therapy of OSCC (157). miRNAs as regulators of apoptotic pathways are listed in Table 3.

TABLE 3
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Table 3 microRNA can regulate cell death pathways in oral cancer.

Human Herpesviruses (HHV), which are a group of large enveloped DNA viruses, have been found in several oral inflammatory diseases, indicating their role in progression of the disease. However, the viral components that cause oral illness are unknown. Interestingly, HHV also leads to expression of numerous miRNAs, known as viral miRNAs, which may be significantly involved in regulating pathogen-host interaction by regulating both the viral life cycle and host biological pathways. Viral miRNAs(v-miRs) have been detected in diseaded biopsies of the oral tissue and show their immunoregulatory roles. Accumulation of v-miRs in tumors of the oral cavity was observed in several studies (158, 159). For instance, nasopharyngeal carcinoma (NPC) due to EBV is a well-known oral cancer. Higher levels of seven EBV miRNAs were found in tissues from NPC and non-cancerous patients, with ebv-miR-BART7-3p being the most significantly enhanced (160). Ectopic expression of ebv-miR-BART7-3p in EBV-negative NPC cells causes a significant rise in metastases in mice, indicating that viral miRNAs play a role in tumor growth. Downregulation of PTEN induced by ebv-miR-BART7-3p, causes accumulation of the β-catenin and Snail.This leads to promoted EMT (epithelial-to-mesenchymal transition) and progression. An elevated EBV BART cluster miRNAs was also found in tissue samples of nasopharyngeal carcinoma (161). Additionally, ebv-miR-BART1 expression is significantly associated with distinct pathological features. In terms of mechanism of action, ebv-miR-BART1 (similar to miR-BART-7-3p) leads to direct downregulation of the PTEN levels and increased level of phosphorylated FAK,AKT, Shc,130Cas and ERK1/2. Accordingly, numerous miRNAs in herpes viruses cause synergistic regulation of the same gene/pathway to modulate pathological results. High expression of ebv-miR-BART7 was associated with resistance to treatment with cisplatin and increased cellular proliferation, migration and invasion in vitro. Using viral miRNAs as new markers of diagnosis in the progression of the disease course and treatment target in conjunction with pre-existing therapeutic modalities may bring a reliable and potent strategy for tumors and inflammatory diseases of the oral tract (158).

It has been shown that miRNAs may be applied as potent biomarkers in oral tumors. For instance, Maclellan et al. (162) explored the level of expression of different circulating miRNAs in patients with advanced oral lesions (high risk lesions is identified as oral cancer or carcinoma in situ). Their study found that 15 miRNAs were overexpressed and 5 miRNAs were prominently lowly expressed based on the clinical status of the disease.Therefore, their study confirmed that five miRNAs (miR-29a,miR-16, miR-223,let-7b and miR-338-3p)provide diagnostic potential as non-invasive markers for high-grade oral lesions or oral cancers (162) and that serum miRNA profiles combined with additional screening techniques may significantly enhance the sensitivity for detecting oral cancer.

Biogenesis and Function of lncRNAs and LncRNAs-Mediated Programmed Cell Death of Oral Cancer

LncRNA is a special RNA type defined as transcripts over 200 nucleotides long, but is not translated into proteins (28, 70, 163166). LncRNAs are numerous and abundant, and were originally considered to be biologically non-functional transcriptional noise.

In previous years, achievements in sequencing and analysis of genome facilitated the discovery of multiple lncRNAs and biogenesis of lncRNAs became unraveled (167). The majority of the lncRNAs are transcribed from exonic, intergenic and distal protein-encoding loci of the genome through the function of the enzyme RNA polymerase II, and only a tiny portion of these non-coding RNAs are generated by the RNA polymerase III (Pol III) complex or the single-polypeptide nuclear RNA polymerase IV complex. Then the pre-mature lncRNA becomes polyadenylated at the 3`-end and capped with methyl-guanosine at the 5′-end (168). It is usually modified by alternative splicing necessary to produce protein diversity (169). Alternative splicing can be categorized in three ways. Firstly, lncRNAs make interaction with certain splicing factors and then generate RNA-RNA duplexes with molecules of pre-mRNAs, and eventually, they affect the remodeling of chromatins, and thus accomplishing target genes splicing process (170). For instance, LINC-HELLP, a 205 kb-lncRNA, is found to be involved in regulating splicing and the pathogenesis of HELLP syndrome related to pregnancy.The mass spectrometry and purification experiments found that components of splicing such as the splicing-related factors Y-Box Binding Protein 1 (YBX1), Poly(RC) Binding Proteins 1 and 2 in addition to the the ribosomal machinery,can detect this lncRNA. The exact mechanism of regulating this splicing process by this lncRNA is poorly understood,however, it was shown that some protein (5′-end up to the middle) of the LINC-HELLP transcript loses its potential to make interactions with its protein partners due to the presence of mutation in patients with HELLP. On the contrary, mutations at the far 3′-end enhances the binding potential (170). Antisense, ‘as-Oct4-pg5’, and brain-associated’BC200’ are examples of functional lncRNAs that are not polyadenylated (171, 172).Ovrall, genes encoding lncRNAs have their unique promoters and DNA motifs and transcription factors(TFs) (173).

Epigenetic modification plays a major role in biogenesis of lncRNAs. Methylation of histone has a key role in regulating transcription. Methylation of histone H3 lysine 4 (H3K4) represents activation of transcription, while tri-methylated H3K27 symbolizes gene silencing. Several lncRNAs such as XIST, HOTTIP and FIRRE, etc. play role in activation of transcriptional genes and organizing 3D nuclear architecture (173). On the contrary, lncRNA decoys such as lncRNA-DNA triplex or Alu transcripts can suppress regulation of the transcription by binding to RNA pol II (174). Different transcription factors may bind to lncRNAs and produce a nascent transcript that eventually alters processing of the mRNA molecule through alternative splicing. Binding of the lncRNAs to mRNA can enhance or suppress protein translation or can facilitate mRNA decay (175). Small RNA deep sequencing(Srna-Seq) experiments have found that lncRNAs have also the potential to encode small functional RNAs (176). Mature lncRNAs are also present in the cell cytoplasm and/or nucleus (177). Although the cytoplasmic lncRNAs do not go under translation, small peptides were detected that were produced from lncRNAs due to their association with ribosomes (178). According to some studies, pseudogenes transcriptionally active may also generate these molecules or they can be formed through transcription of the promoter or intergenic loci (179).

Because of enhanced technologies for lncRNA functioning, structure, and interacting partners, our present understanding of lncRNA is more thorough. LncRNAs have major role in maintaining pluripotency of stem cells, differentiation and related human disorders caused by their dysfunction, and recently identified lncRNAs were shown to maintain pluripotency of stem cells and regulate cellular lineage differentiation. Importantly,the structure and location of the lncRNAs appears to forecast their function. LncRNAs can regulate reprogramming of somatic cells and differentiation of stem cells, thus their manipulation allows more efficient strategies for stem cell differentiation nd reprogramming of somatic cells (180). Accordingly, lncRNAs regulate different stages of human or mice reprogramming through several exogenous factors. lncRNA-Xist is involved in the development of an epithelial phenotype during the early stages of conversion from somatic cells to reprogramming intermediates, whereas LNCrna-ladr86/91 is implicated in the metabolic transition from aerobic to anaerobic energy generation (181). lincRNA-p21 plays role in both the early and late phases(reactivation of the pluripotency gene network) in reprogramming by inhibiting cellular proliferation and activation of pluripotency genes, respectively. Likewise, lincRNA-RoR modulates the initial phases of reprogramming through inhibition of p53, which is negative regulator of cell survival, as well as the late phase of reprogramming via sponging for miR-145, targeting several pluripotency gene transcripts. lincRNA-1526 and lincRNA-1463 are associated with inverse regulation of the activation of the pluripotency genes in reprogramming, while lincRNA-1307 and ladr49/83 can positively regulate the pluripotency genes. LNCPRESS1, Snhg14, Gas5 and Peblr20 are positive regulators of the pluripotency genes in reprogramming and/or embryonic stem cells(ESCs) (182). Moreover, there are novel approaches to comprehend regulation of the lncRNAs. For instance, RAT-seq allows for the discovery of the genome-wide chromatin binding sites for each specific lncRNA (183, 184). More significant functions and fresh mechanistic insights into how lncRNAs influence biological processes and illnesses will be discovered using these methods. These new findings might potentially lead to the discovery of novel therapeutic targets and the development of new treatments for human diseases (185).

LncRNAs can be divided into three different categories based on their location in the genome: natural antisense transcripts (NATs), long gene non-coding RNAs (lincRNAs) and intron lncRNAs. Upon increasing the binding of UCHL1 mRNA to the polymer, antisense lncRNA UCHL1 enhances the UCHL1 mRNA translation. On the other hand, other lncRNAs, such as lincRNA-p21, inhibit the translation of their target mRNAs after binding to them (186). SINEUPs comprises a novel and functional family of synthetic and natural antisense lncRNAs that can promote target mRNAs translation without producing any effect on the circulating level of mRNAs (187). This lncRNA is comprised of an SINE element (effector domain) embedded into its structure and a binding domain exerting target specificity (188). AS-Uchl1comprises a classic example of the natural SINEUPs. Carrieri et al. observed that AS-Uchl1 had the potential to enhance the translation of sense Uchl1 mRNA in dopaminergic neuronal cells in mice by promoting association of Uchl1 mRNA to heavy polysomes. This process is dependent on the AS-Uchl1 inverted SINEB2 element, which does not affect the level of Uchl1 mRNA (187). According to their other study, HNRNPK and PTBP1 functioned as RNA binding proteins to interact with SINEUP, and thus contributing to subcellular distribution of SINEUP RNA and assembly of initiation complexes of translation (189). Synthetic SINEUPs were found to be the primary measurable tool to enhance the expression of a specific target gene. For example, SINEUP-cox7B transcribed in vitro is a synthetic SINEUP produced against endogenous cox7B mRNA, which can efficiently and specifically up-regulate the expression and translation of COX7B protein, leading to rescuing size of the brain and eye tissues in cox7B morphants (190). Collectively, SINEUPs contain significant treatment potential that can be used in different diseases due to inadequate protein production.

Although lncRNA is not translated into protein, it is still considered a functional molecule that regulates gene expression at multiple levels, including the chromatin, transcriptional, and post-transcriptional levels (191). Indeed, lncRNA is involved in cell differentiation, cell cycle regulation, stem cell pluripotency, and maintenance of various biological processes (192, 193). LncRNAs can affect different apoptotic pathways. For instance, lncRNA overexpression can reduce the expression of membrane surface receptors by affecting extrinsic apoptosis pathway (194). Autophagy not only promotes cell survival but also causes cell death in some conditions. LncRNA can activate autophagy by activating related enzymes (194). In addition, lncRNAs can protect tumor cells from necroptosis by inhibiting the expression of some related proteins (195). Some lncRNA types also act as competitive endogenous RNAs to prevent oxidation and inhibit ferroptosis (195). Increasing evidence shows that lncRNAs are closely related to PCD, and the relationship between lncRNA and PCD is associated with the occurrence of heart disease, cancer cell apoptosis, and cell survival (196). In this section, we summarize the role of lncRNAs in PCD to determine the relationship between lncRNAs and PCD of oral cancer cells.

The evasion of apoptosis has been classified as one of the hallmarks of cancer and is among the main causes of therapy failure. Most tumors are defective in the activation of apoptosis owing to the occurrence of genetic or epigenetic events that either inactivate the p53 pathway or provoke the aberrant expression of pro-survival BCL-2 family members including BCL-2, BCL-XL or MCL-1 (197). It has been shown that BCL-2 exerts a key role in tumorigenesis. In a mouse model of APC-loss-induced colorectal cancer, BCL-2-dependent impairment of apoptosis is required for carcinoma onset (198). Importantly, such unbalance in favor of the pro-survival side of the BCL-2 family confers resistance to radiation, chemotherapeutic agents, and many selective pathway inhibitors that induce apoptosis primarily through the activation of the mitochondrial death machinery (197). Multiple regulatory mechanisms targeting BCL-2 family members involve a different class of lncRNAs. Several lncRNAs have been reported to mediate escape from apoptosis through different mechanisms. For example, lncRNA HOTTIP (HOXA distal transcript antisense RNA) promotes BCL-2 expression and induces chemoresistance in small cell lung cancer by sponging miR-216a (199). In another study, knockdown of HOTTIP has been shown to induce apoptosis by increasing Bax expression and decreasing Bcl-2 expression in prostate cancer cells (200). Sun et al. revealed that HOTTIP acted as a competitive endogenous RNA for microRNA-216a, thus preventing Bcl-2 from binding microRNA-216a in lung cancer cells (199). Recently, Mu et al. (201) reported that lncRNA HOTTIP knockdown lead to restrained the cell proliferation and arrested the cell cycle at G1 phase in human TSCC cell lines (TSCCA and TCA8113 cells). Furthermore, the expression levels of cyclins B, D1, and E were downregulated in HOTTIP-silenced cells. Also, HOTTIP silencing suppressed the growth of xenograft tumors. Besides, they found that the silencing of HOTTIP cause triggered apoptosis in TSCCA and TCA8113 cells and altered the expression of a group of apoptosis-related molecules: downregulated Bcl-2, upregulated Bax, and enhanced the cleavage of caspase 3 and PARP. Knockdown of HOTTIP also suppressed the migration, invasion, and epithelial–mesenchymal transition (EMT) of both TSCCA and TCA8113 cell lines. Altogether, the results of their study suggested that HOTTIP plays a critical role in regulating cell proliferation, apoptosis, and tumorigenesis of TSCC cells and it may serve as a promising potential candidate for OTSCC therapy (201).

Disorder of cell proliferation, apoptosis, and metastasis is an important trigger of cancer occurrence and development. The PI3K/AKT signaling pathway is an important signaling pathway that regulates cell proliferation, apoptosis, and metastasis (202). Recent studies have shown that autophagy plays an important role in tumorigenesis (203). Moreover, mTOR, which is downstream of the PI3K/AKT signaling pathway, is a crucial negative regulator of autophagy (13). Studies on esophageal squamous cell carcinoma and hepatocellular carcinoma have shown that high expression of lncRNA-CASC9 activates the PI3K/AKT signaling pathway, promoting the proliferation, invasion, and metastasis of cancer cells (204, 205). Recently, Yang et al. (206) observed that increased CASC9 expression promotes OSCC cell proliferation. It is unclear whether the increased CASC9 expression in cancer cells regulates the expression of mTOR through the regulation of the PI3K/AKT signaling pathway to control autophagy. For this reason, they depleted lncRNA CASC9 in OSCC cells which led to the significantly decreased expression of p-AKT and p-mTOR, as well as increased autophagy. Also, CASC9 knockdown partially rescued the decreased p-mTOR expression and increased autophagy. Taken together, these findings demonstrated that CASC9, which is highly expressed in OSCC cells, inhibits autophagy by activating the AKT/mTOR pathway (206).

Autophagy plays an important role in the occurrence and development of tumors (207). There exists crosstalk between autophagy and apoptosis; autophagy can both inhibit and promote apoptosis to affect the occurrence and development of cancers (208). Due to the diversity of cells, conditions and stimulating factors, autophagy acts as a double-edged sword for apoptosis (209). For example, Zhao Z. et al. found that oxamate inhibits apoptosis by promoting autophagy to promote gastric cancer (210); in contrast, Yeh P.S. et al. found that honokiol can promote apoptosis by promoting autophagy to promote neuroblastoma (211). As mentioned, Yang et al. (206) found that autophagy and apoptosis were both increased in cells with silenced CASC9. However, apoptosis is significantly reduced in the OSCC cells cotreated with silenced lncRNA-CASC9 and the autophagy inhibitor, indicating that silencing CASC9 induced autophagy as a pro-death response. This study suggested that autophagy can regulate early apoptosis. Their study also found that CASC9 knockdown in OSCC cells increased and decreased the early apoptosis and P62 protein expression, respectively (206). It is shown that P62 can regulate both autophagy and apoptosis, and many studies reported that P62 mediates apoptosis primarily through regulating autophagy (212). It has been reported that P62 is incorporated into autophagosomes through binding to LC3 in autophagy-activated cells, and subsequently P62 is degraded by autophagy (213); thus, P62 protein expression decreases, and reduced P62 protein expression increases cell apoptosis. Overall, Yang et al. (206) supposed that CASC9 depletion in OSCC cells might promote the binding of P62 to LC3, and then P62 is incorporated into autophagosomes, resulting in the degradation of P62; subsequently, reduction of P62 may increase the autophagy-mediated apoptosis (206). However, the detailed mechanism remains to be further studied.

Currently, for the treatment of OSCC, cisplatin (DDP) is the first-line chemotherapy agent, whereas acquired DDP resistance greatly diminishes drug efficacy and survival benefit. In DDP-resistant OSCC, Wang et al. reported the increased expression of lncRNA MALAT1. Specifically, by the activation of PI3K/AKT/mTOR signaling pathway, MALAT1 overexpression could lead to DDP resistance, whereas MALAT1 knockdown could effectively re-sensitize OSCC cells to DDP treatment, suggesting an instrumental role of MALAT1 in PI3K/AKT/mTOR signaling-associated DDP resistance development (214). Furthermore, PI3K/AKT/mTOR signaling is also known as a critical regulatory pathway of autophagy, a highly conserved catabolic process involving the lysosome-mediated degradation of intracytoplasmic components and participating in a variety of cellular biological activities (215). Autophagy may block or promote tumor survival, depending on the various tumor types and stages. Recently, in OSCC, another lncRNA CASC9 was found to promote cancer progression through suppressing autophagy-mediated cell apoptosis via inducing AKT phosphorylation and the subsequent activation of the AKT/mTOR pathway (206) (Figure 2). In contrast, the tumor-suppressive lncRNA GAS5 (growth-arrest-specific transcript 5) could suppress proliferation, migration, invasion, and epithelial-mesenchymal transition (EMT) in OSCC (216, 217). Mechanically, GAS5 has been reported to act as a miR-21 sponge in ovarian and cervical cancer. In OSCC, Zeng et al. observed that GAS5 most likely also functions in this way. By sequestering miR-21, GAS5 rescues the expression of PTEN, a negative regulator of PI3K signaling, from miR-21-mediated repression, and thereby inhibiting the PI3K/AKT pathway (216) (Figure 2). Taken together, accumulating reports have revealed the prominent involvement and implications of lncRNAs in regulating cellular proliferation, drug resistance, and apoptosis through targeting the PI3K/AKT/mTOR signaling cascade during oral carcinogenesis.

FIGURE 2
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Figure 2 LncRNAs involved in the relevant signaling pathways implicated in oral cancer progression. (A) Wnt/β-catenin signaling. (B) PI3K/AKT/mTOR signaling.

Autophagy suppresses tumor initiation and prevent s genomic instability. However, autophagy contributes to the progression of advanced cancer by rendering cancer cells resistant to therapeutic agent. Studies proved that the level of autophagy can be determined by monitoring its modulators, such as Beclin1, MAP1LC3B, mTOR, and P62 expressions (218, 219). Takamura et al. indicated that the deficiency of Beclin1/Atg6 could induce tumorigenesis of liver in mouse, and Atg5/Atg7 knockout mouse led to P62 gene deficiency and loss of autophagy. Abnormal accumulations of P62 inhibited NF -κB signing way and triggered inflammation, which promoted tumorigenesis. However, upon recovery of autophagy, inflammation was inhibited, thereby preventing tumorigenesis (220). Hu et al. reported that low expression of Beclin1 was related to poor differentiation, lymphatic metastasis, and TNM stag e and was a poor prognostic marker of OSCC (221). Increasing evidence s showed that autophagy can be regulated by HOTAIR (222). Yang L et al. found that in hepatocellular carcinoma, the overexpression of HOTAIR activate d autophagy by up -regulating ATG3 and ATG7, and the level of autophagy was inhibited when HOTAIR was knocked down (223). Luan W et al. reported that HOTAIR promoted the growth and metastasis of melanoma cells by competitively binding miR-152-3p and activating the downstream PI3k/Akt/mTOR signaling pathway (224). Wang et al. indicated that silencing of Beclin1 in OSCC promoted proliferation, inhibited apoptosis and enhanced chemosensitivity (225). However, whether HOTAIR could regulate autophagy was unclear. This researchers in another study found that HOTAIR interference could decrease the autophagosomes and the expression s of Beclin1, MAP1LC3B, ATG3 and ATG7 were down -regulated (226). Furthermore, it increased the expression of mTOR. So, HOTAIR could promote autophagy in OSCC cells. Besides, they observed that apoptosis rate accelerated in OSCC cells after HOTAIR was silenced, with increased expressions of bim, caspase 3, and caspase7 and decreased expressions of bcl - 2 and mcl -1 decreased. As result, HOTAIR acts as an oncogene in OSCC cells by accelerating autophagy and reducing apoptosis as well as silencing HOTAIR improves sensitivity to cisplatin for OSCC (226).

Maternally expressed 3 (MEG3), a long non-coding RNA, displays variety of biological functions, involved in diverse diseases. Researches have showed that MEG3 conferred endothelial cell aging and disturbed the regenerative angiogenesis (227). By negatively regulating notch pathway, MEG3 impaired the functional recovery after ischemic brain injury (228). The evidences indicated that MEG3 associate with vascular function pathological processes. MEG3 contributed to neurons apoptosis induced by hypoxia through miR-181b12/15-LOX axis (229), suggested that MEG3 may be infaust for neuroprotection. In the trophoblast cells of preeclampsia, level of MEG3 was down-expressed and resulted in abnormalities of apoptosis and migration. Although the functions of MEG3 were diversiform in nontumor disease, the tumor suppressor effect of MEG3 was concerned widely (230232). In addition, recent studies have shown that the downregulation of MEG3 in lung cancer cells can activate the WNT pathway (230). The WNT/β-catenin signaling pathway, which regulates a variety of cellular processes, such as cell proliferation, apoptosis, and differentiation, is one of the classical pathways for signal transduction (233, 234). Liu and colleagues reported that lncRNA-MEG3 levels were negatively correlated with the WNT pathway. They reported also the expression level of MEG3 was significantly decreased in OSCC and overexpression of MEG3 inhibited the proliferation and metastasis of cancer cells and promoted apoptosis. Overall, they suggested that MEG3 inhibited OSCC cell proliferation, metastasis and promotes apoptosis by negatively regulating the WNT pathway (235). Recently, Tan et al. (236) reported lncRNA-MEG3 was downregulated in OSCC tissues, and the overexpression of MEG3 suppressed migration and promoted apoptosis in OSCC cell lines, while inhibition of MEG3 exhibited opposite effect. Also, they found that MEG3 could effectively sponge miR-548d-3p and decrease its expression level. Moreover, miR-548d-3p repressed the expression of SOCS5 and SOCS6 through binding their 3’UTR, thereby modulating the JAK–STAT signaling pathway and functioning as an oncogene in OSCC cells, as, overexpressed miR-548d-3p inhibits apoptosis by regulating the JAK–STAT Pathway. Importantly, overexpression of MEG3 enhanced the expression of SOCS5 and SOCS6 to regulate JAK–STAT pathway, whereas miR-548d3p overexpression decreased the effects of MEG3 on levels of SOCS5/SOCS6. Furthermore, upregulated expression of miR-548d-3p could abrogate the effect of MEG3 overexpression on migration and apoptosis in OSCC cell lines. In addition, the overexpression of MEG3 inhibited tumor migration and facilitated apoptosis in vivo. Together, the result of their study revealed that MEG3 could modulate JAK–STAT pathway via miR-548d3p/SOCS5/SOCS6 to suppresses migration and promote apoptosis in OSCC (236). Ferroptosis, an iron-dependent programmed cell death, can affect the prognosis of several tumors. A number of lncRNAs can alter the outcome of tumors by modulating the process of ferroptosis (237).In a study of Li et al. (238), the OSCC prognostic model was established on the basis of 8 frlncRNAs which have a prognostic role and expressed simultaneously with 25 mRNAs. Their study supported a prognostic model in patients with OSCC comprised of 8 different frlncRNAs, including MIAT,AC099850.3, STARD4-AS1,AC090246.1, AC021087.4, HOTARM1,ALMS1-IT1and AL512274.1., which can be used as a prognostic indicator and immune evaluation in OSCC patients and can be subsequently be used as promising therapeutic targets in these patients (238). However, little evidence is present considering the regulatory functions of ncRNAs in oral cancer by ferroptosis. The lncRNAs which regulate cell death pathways are listed in Table 4.

TABLE 4
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Table 4 lncRNAs can regulate cell death pathways in oral cancer.

Circular RNA Biogenesis and CircRNAs-Mediated Programmed Cell Death of Oral Cancer

Circular RNA (circRNA) is a subclass of non-coding RNA (ncRNA) (239242). After long non-coding RNA (lncRNA) and microRNA (miRNA), it has developed into a new research hotspot in the field of cancer (243). CircRNAs are produced by reverse splicing and are characterized by a closed single-stranded structure and lack of 5′ cap and 3′ polyadenylation (poly(A)) tail, which makes them more stable than lncRNA and miRNA. And circRNAs are highly conserved in eukaryotes, and their expression exhibits tissue- and developmental stage-specific. Numerous studies have revealed that circRNAs have an important effect on the progression and treatment of cancer and play a regulatory role in the tumor microenvironment (TME). Therefore, it suggests that circRNAs may serve as new cancer biomarkers as well as potential therapeutic targets (239, 240, 244, 245).

Back-splicing biogenesis of circRNAs varies from conventional splicing of linear RNAs, according to recent research. They are categorized as intronic-circRNAs, exonic-circRNAs and exon-intron circRNAs (246). Jeck et al. (247). Established two different models considering the circRNAs origination, known as intron-pairing-driven and lariat-driven circularization.Exon circularization is shown to be dependent on flanking intronic complementary sequences and alternate production of inverted repeating Alu pairs, resulting in several circular RNA transcripts being created from a single gene (248). Moreover, RBPs(RNA-binding proteins) function as inhibitors or activators of the circRNAs processing in some circumstances. It has been demonstrated that the generation of up to one-third of common circRNAs are consistently regulated by Quaking(QKI), an alternative splicing factor, and the insertion of QKI motifs are adequate to promote de novo synthesis of circRNAs from transcripts normally undergo linear splicing (249). However, by melting the stem’s structure, ADAR1, the double-strand RNA-editing enzyme,inhibits the synthesis of circRNA (250). Nonetheless, the exact mechanism of generation of circRNAs remains poorly clarified.

circRNAs have been identified to be expressed widely in most organisms. The size of circRNAs ranges from <100 to several thousand nucleotides, and are produced by a non-canonical splicing event named back-splicing, during such event the downstream splice-donor site is covalently linked to upstream splice-acceptor site (251). The formed closed-loop structure of circRNAs makes them much more stable than linear RNAs, and their half-life is about 4 times longer than linear RNAs (252). In addition, back-splicing makes circRNAs lack 5’ cap and 3′ tail, which enables them resistant to ribonuclease RNase R. This feature is usually used in experiments to distinguish circRNAs from linear counterparts (253). According to the sequences it contains, circRNA can be divided into three main different types: exon circRNA (EcRNA), intron circRNA (CiRNA) and exon-intron circRNA (EIcRNA) (242, 254). Among them, EcRNA is the most common and is mainly distributed in the cytoplasm, while circRNAs containing introns are distributed in the nucleus. CircRNAs exhibit widespread expression in different species and abundant expression in human tissues, especially in brain. And their sequences are highly conserved, and many studies have detected about 15,000 human circRNAs sequences in mice. Moreover, their expression exhibits in tissue-, cell- and developmental stage-specific manner, and partially dysregulated circRNAs have a close relationship with tumor pathological differentiation, TNM stage and Lei et al, indicating that they may be suitable candidates for cancer biomarkers (253, 255).

In 2000, Hanahan and Weinberg proposed six hallmarks of cancer that result in the progressive conversion of normal cells into cancerous cells (256). Most and perhaps all types of human cancer shared these acquired capabilities, including self-sufficiency in growth signals, evasion of antigrowth signals, resistance to cell death, limitless replicative potential, sustained angiogenesis, tissue invasion and metastasis. In recent years, some circRNAs have been shown to be involved in these properties of cancer (257).

As mentioned above, as a mechanism of cell death, apoptosis is significant for maintaining homeostasis of the internal environment. Tumor cells can often resist apoptosis, so that abnormal cells are not properly cleared. Abundant evidence supports the role of circRNAs in the evasion of apoptosis to promote cancer progression and blunt therapeutic responses. Cancer cells have developed various strategies to limit or evade apoptosis by upregulating anti-apoptotic components (e.g., Bcl-2, Bcl-xL, and Mcl-1) or decreasing the tumor-suppressive function of proapoptotic factors (e.g., Bax). These components involved in apoptosis are broadly inhibited or activated by circRNAs (258). In this section, we summarize the role of circRNAs in apoptosis to determine the relationship between circRNAs and the apoptosis of oral cancer cells (Table 5).

TABLE 5
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Table 5 Circular RNAs can regulate cell death pathways in oral cancer.

The p53 gene is a common tumor suppressor which is involved in cell cycle regulation via a variety of pathways and plays an important role in the development of various tumors, including OSCC (259). BAX is a water-soluble protein homologous to BCL-2 and promotes apoptosis. The overexpression of BAX can antagonize the protective effect of BCL-2 and cause cell death. It is located downstream of the p53 signaling pathway and is regulated by the p53 gene (260). Apoptotic protease activating factor-1 (Apaf-1) plays an important role in the mitochondrial apoptotic pathway, and its expression is regulated by the BAX gene. Apaf-1 ultimately mediates caspase family-related proteins, such as caspase-3, which is generally considered the most important terminal cleavage enzyme in apoptosis (261, 262). It has been shown that when hsa_circ_0055538 was overexpressed in OSCC cells (SCC9 and CAL27 cells), the expression levels of p53, p21, BAX, Apaf-1, caspase-3, and cleaved caspase-3 increased, while the expression of Bcl-2 decreased. Thus, upregulation of circ_0055538 promotes cell apoptosis. As well, downregulation of hsa_circ_0055538 in SCC9 and CAL27 cells using siRNA and obtained the opposite results. Hsa_circ_0055538 regulates the malignant biological behavior of oral squamous cell carcinoma through the p53/Bcl-2/caspase signaling pathway (263).

Circular RNA itchy E3 ubiquitin-protein ligase (circ-ITCH) was demonstrated to function as a tumor suppressor in multiple human cancers, such as lung cancer, ovarian carcinoma, and colorectal cancer (264). Recently, Hao et al. (265) investigated the functional role of circ-ITCH in OSCC. They found that the expression level of circ-ITCH was significantly downregulated in OSCC samples and reported the decreased expression of circ-ITCH in OSCC is closely correlated with malignant progression and poor survival in OSCC patients. As well, the results of their study showed that circ-ITCH overexpression suppressed cell proliferation, but promoted apoptosis of OSCC cells in vitro. Also, they observed that the increased apoptosis rates of OSCC cells with circ-ITCH overexpression were notably diminished by co-transfection of miR-421, accompanied by the increased expression of Bcl-2 and the decreased levels of Bax, cleaved caspase-3 and PDCD4. Overall, the result of their research showed that circ-ITCH serves as a tumor suppressor in OSCC partly by suppressing cell proliferation and Inducing apoptosis in OSCC by regulating miR-421/PDCD4 Axis (265).

Baculoviral IAP repeat-containing 3 (BIRC3) belongs to the inhibitors of apoptosis (IAP) family of proteins, which suppress proapoptotic signaling. Several studies have reported that BIRC3 may also impair cancer cell susceptibility to chemotherapy (266). Recently, Wang et al. (267) built an apoptotic model with TNF-α, and then they confirmed a circRNA associated with the apoptosis of OSCC cells, circDOCK1 by comparing the expression profile of circRNAs in an apoptotic model with that in untreated OSCC cells. They observed that circDOCK1 is highly expressed in OSCC tissue and cell lines, and circDOCK1 is significantly downregulated in the apoptosis model. In order to further confirm the biological function of circDOCK1 in OSCC, they downregulated circDOCK1 expression using siRNAs and observed that the apoptosis rate increased. With the use of bioinformatics analysis, they surmised that circDOCK1 could serve as a miR-196a-5p sponge. Besides, miR-196a-5p may be implicated in cancer-associated pathways and regulate apoptosis-related genes (268, 269). In order to validate the circDOCK1/miR-196a-5p/mRNA axis, their results revealed that when the expression level of circDOCK1 is downregulated, miR-196-5p was upregulated while BIRC3 was downregulated accordingly. Moreover, when the expression level of miR-196-5p is upregulated, circDOCK1 and BIRC3 were downregulated accordingly, too. At the end of this study, they suggested that circDOCK1 suppresses cell apoptosis via inhibition of miR-196a-5p by targeting BIRC3 in OSCC (267).

It has been reported that TLR4 can mediate the immune escape of tumor cells and promote tumor cell to resist drug-induced apoptosis (270). Ai et al. (271) conducted a TNF-a induced apoptosis experiment in OSCC cells. The results of their study showed that TNF-a could induce apoptosis of OSCC cells, which was enhanced by knockdown of circ_0001461. In contrast, overexpression of circ_0001461 lead to inhibit the apoptosis of OSCC cells induced by TNF-a treatment. In addition, they reported that knockdown of circ_0001461 inhibited the expression of TLR4 and NF-kB, while overexpression of circ_0001461 promoted the protein level of TLR4 and NF-kB. Functionally, circ_0001461 directly targeted miR-145 and inhibited the proliferation, migration, and invasion of OSCC cells. TLR4, a direct target of miR-145, served as the key mediator of circ_0001461 function by promoting the resistance of immune induced apoptosis of OSCC cells. Together, their results suggested that circ_0001461 might promote OSCC cells to resist TNF-a induced apoptosis through TLR4 mediated NF-kB pathway (271).

Cetuximab is a recombinant human murine chimeric IgG1 monoclonal antibody, which has high affinity for EGFR, inhibits cell cycle progression, and induces tumor cell apoptosis by specifically binding to the extracellular EGFR domain. This reduces the production of MMPs and vascular endothelial growth factors, and inhibits tumor invasion and metastasis. Cetuximab has shown good clinical efficacy and tolerability for EGFR expression in head and neck cancers (272, 273). However, unresolved issues with this drug persist, such as acquired treatment resistance caused by mutations in KRAS and BRAF, both of which participate in the EGFR signaling pathway (274). It has been reported that ncRNAs can be regulated cetuximab sensitivity in cancer cells (275277). Since cetuximab is a commonly used anticancer drug for OSCC treatment, recently Su et al. (278) performed a drug treatment experiment to investigate the effect of hsa_circ_0005379 on OSCC cell viability. In their study, apoptosis rates in hsa_circ_0005379 overexpression cells were measured by annexin V-FITC/PI dual-label flow cytometry and flow cytometry to detect apoptosis in different treatment groups of SCC25 and CAL27 (OSCC cell lines) was used. They found that early apoptotic rates in the mock group were 0.31 and 0.43% in SCC25 and CAL27 cells, respectively, while early apoptotic rates in the hsa_circ_0005379 group were 1.12 and 0.91% in SCC25 and CAL27 cells, respectively. Early apoptotic rates in the mock + cetuximab group were 17.88 and 15.22% in SCC25 and CAL27 cells, respectively, while early cell apoptotic rates in the circ_0005379 + cetuximab group increased to 38.35 and 35.77% in SCC25 and CAL27 cells, respectively. Their experimental results showed that changes in early apoptotic rates are not obvious in cells after high hsa_circ_0005379 expression in SCC25 and CAL27 cell lines. However, when cetuximab was added after overexpressing hsa_circ_0005379 in SCC25 and CAL27 cells, the early apoptotic rate of the cells significantly increased to 38.35 and 35.77%, respectively. This study indicated that high hsa_circ_0005379 expression increases cetuximab sensitivity and provides a new potential target for OSCC anticancer drugs design in the future (278). The occurrence of cisplatin (DDP) resistance in oral squamous cell carcinoma (OSCC) is a major challenge for OSCC treatment. Gao et al. reported that Circ_0109291 was higher expressed in DDP-resistant OSCC tissues and cells, and its knockdown suppressed resistance and enhanced the apoptosis of OSCC cells. They suggested that circ_0109291 could promote the DDP resistance and inhibit apoptosis of OSCC, and silenced circ_0109291 might be a key step to inhibit OSCC resistance (279). In another study, Tan and colleagues (280) found that circ_0001971 knockdown promoted chemosensitivity (DDP) and apoptosis in OSCC cells by interacting with miR-194 and miR-204 (280). Such studies show the circRNAs can serve as critical player in OSCC cell resistance and the functions of the circRNAs provide insight into their roles in oral cancer chemotherapy resistance. More studies about circRNAs-mediated PDC of oral cancer are listed in Table 5.

Recent studies have shown that autophagy plays a critical role in the occurrence of tumors and malignant transformation (101, 165, 281). In advanced stage tumors, cancer cells survive under low-nutrition and hypoxic conditions by inducing autophagy due to cancer cells have higher bioenergy requirements and nutritional needs than normal cells (165). The elucidation of the association between autophagy and poor survival in various cancers, suggested that autophagy may serve as a marker for both diagnostic and clinicopathological characteristics (282, 283). Thus, understanding the signaling pathways involved in the regulation of autophagy as well as its biological functions in OSCC represents new directions in the development of anticancer therapeutic strategies. Recently, Gao et al. (284) validated the functional roles of circCDR1as in regulation of autophagy in OSCC cells and further investigated how circCDR1as contributed to cell survival via up-regulating autophagy under a hypoxic microenvironment by using combination of human tissue model, in vitro cell experiments and in vivo mice model. They found that overexpression circCDR1as not only promoted OSCC cells proliferation in vitro and the growth of implanted tumors in vivo but also stimulated cells autophagy. The effects of circCDR1as on cellular autophagy contributed to OSCC progression and development. As well, hypoxia promoted the expression level of circCDR1as in OSCC cells and elevated autophagy. In addition, circCDR1as further increased hypoxia-mediated autophagy by targeting multiple key regulators of autophagy. They revealed that circCDR1as enhanced autophagy in OSCC cells via inhibition of rapamycin (mTOR) activity and upregulation of AKT and ERK½ pathways. Overexpression of circCDR1as enhances OSCC cells viability, endoplasmic reticulum (ER) stress, and inhibited cell apoptosis under a hypoxic microenvironment. Moreover, circCDR1as is promoted autophagy in OSCC cells by sponging miR-671-5p. Collectively, the results of their research revealed that high expression of circCDR1as enhanced the viability of OSCC cells under a hypoxic microenvironment by promoting autophagy, suggesting a novel treatment strategy involving circCDR1as and the inhibition of autophagy in OSCC cells (284) (Figure 3). Consistent with this studies, Cui et al. (285) reported overexpression of circCDR1as promoted autophagy, cell cycle, proliferation, and metastasis and repressed apoptosis in OSCC cells. CircCDR1as directly targeted miR-876-5p and miR-876-5p interacted with SLC7A11. MiR-876-5p overexpression was reversed the effects of circCDR1as elevation on OSCC cell autophagy, cell cycle, growth, motility, and apoptosis. In addition, circCDR1as knockdown blocked tumor growth in vivo. They suggested that circCDR1as acted as an oncogene in OSCC progression through elevating SLC7A11 by targeting miR-876-5p (285).

FIGURE 3
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Figure 3 The mechanism underlying the regulation of autophagy.

Conclusion

Apoptosis and autophagy are physiologically necessary pathways that are vital for cell homeostasis and as one of the major dysregulated processes in the carcinogenesis of oral cancer has been shown to be regulated by ncRNAs. In the current review, we have explained the impact of miRNAs, lncRNAs and circRNAs on apoptosis and autophagy in oral cancer. These ncRNAs interact with PI3K/Akt, NF-κB, Wnt/β-catenin, EGFR, TGF-β and other cancer-related pathways (Tables 35). Therefore, they not only regulate cell death pathway, but also influence other aspects of oral carcinogenesis.

Manipulation of expression of apoptosis-regulating circRNA, lncRNAs and miRNAs represent a strategy for combating carcinogenesis as well as resistance to chemo/radiotherapy. Some of the apoptosis-regulating circRNA/miRNA and miRNAs/lncRNAs have been shown to influence prognosis of lung cancer. The observed correlation between their expression and patients’ survival is due to their impact on disease progression as well as response of patients to EGFR inhibitors and chemotherapeutic agents.

An acknowledged route of function of lncRNAs and circRNA in the regulation of apoptosis in oral cancer is their impact on expression of miRNAs. In fact, they can sponge or sequester miRNAs and release miRNA targets from their inhibitory effects. Circ-SCMH1/miR-338-3p, circ_0109291/miR-188-3p, circ_0001971/miR-194/miR-204, circ_0001874/miR-296, circ‐PKD2/miR‐204‐3p, circ_0001461/miR-145, circ_0011946/miR-216a-5p, lncRNA-KCNQ1OT1/miR‐185‐5p, lncRNA RP5-916L7. 2/miR-328, LncRNA MEG3/miR‐548d‐3p, and LINC00958/miR-4306 are examples of circRNAs/miRNAs and lncRNAs/miRNAs interactions with verified roles in the control of oral cancer cells apoptosis. Based on the importance of apoptotic pathways in determination of response of oral cancer patients to conventional as well as targeted therapies, identification of the impacts of ncRNAs on apoptosis and prior profiling of these ncRNAs in clinical samples would help in prediction of response of patients to each therapeutic regimen and design of personalized treatment strategies. The advent of high throughput sequencing strategies has facilitated conduction of this approach in the clinical settings. Finally, the possibility of ncRNAs tracing in the peripheral blood of patients has opened a new opportunity for early detection of emergence of resistance to conventional or targeted therapies and modulation of therapeutic regimens to enhance the survival of affected individuals.

Author Contributions

MT involved to conception, design, statistical analysis and drafting of the manuscript. LE and , AAS contributed to data collection and manuscript drafting. All authors contributed to the article and approved the submitted version

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.

References

1. Ferlay J, Colombet M, Soerjomataram I, Mathers C, Parkin DM, Piñeros M, et al. Estimating the Global Cancer Incidence and Mortality in 2018: GLOBOCAN Sources and Methods. Int J Cancer (2019) 144(8):1941–53. doi: 10.1002/ijc.31937

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Wong T, Wiesenfeld D. Oral Cancer. Aust Dental J (2018) 63:S91–S9. doi: 10.1111/adj.12594

CrossRef Full Text | Google Scholar

3. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: Cancer J Clin (2018) 68(6):394–424. doi: 10.3322/caac.21492

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Bossi P, Vullo SL, Guzzo M, Mariani L, Granata R, Orlandi E, et al. Preoperative Chemotherapy in Advanced Resectable OCSCC: Long-Term Results of a Randomized Phase III Trial. Ann Oncol (2014) 25(2):462–6. doi: 10.1093/annonc/mdt555

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Zhong L-P, Zhang C-P, Ren G-X, Guo W, William WN Jr., Sun J, et al. Randomized Phase III Trial of Induction Chemotherapy With Docetaxel, Cisplatin, and Fluorouracil Followed by Surgery Versus Up-Front Surgery in Locally Advanced Resectable Oral Squamous Cell Carcinoma. J Clin Oncol (2013) 31(6):744. doi: 10.1200/JCO.2012.43.8820

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Sadighi S, Keyhani A, Harirchi I, Garajei A, Aghili M, Kazemian A, et al. Neoadjuvant Chemotherapy for Locally Advanced Squamous Carcinoma of Oral Cavity: A Pilot Study. Acta Med Iranica (2015) 53(6):380–6.

Google Scholar

7. Valdez JA, Brennan MT. Impact of Oral Cancer on Quality of Life. Dental Clinics (2018) 62(1):143–54. doi: 10.1016/j.cden.2017.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Ouyang L, Shi Z, Zhao S, Wang FT, Zhou TT, Liu B, et al. Programmed Cell Death Pathways in Cancer: A Review of Apoptosis, Autophagy and Programmed Necrosis. Cell proliferation (2012) 45(6):487–98. doi: 10.1111/j.1365-2184.2012.00845.x

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Kerr JF, Wyllie AH, Currie AR. Apoptosis: A Basic Biological Phenomenon With Wideranging Implications in Tissue Kinetics. Br J Cancer (1972) 26(4):239–57. doi: 10.1038/bjc.1972.33

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Cohen GM, Sun X-M, Fearnhead H, MacFarlane M, Brown DG, Snowden RT, et al. Formation of Large Molecular Weight Fragments of DNA Is a Key Committed Step of Apoptosis in Thymocytes. J Immunol (1994) 153(2):507–16.

PubMed Abstract | Google Scholar

11. Martin SJ, Green DR. Protease Activation During Apoptosis: Death by a Thousand Cuts? Cell (1995) 82(3):349–52. doi: 10.1016/0092-8674(95)90422-0

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Galluzzi L, Green DR. Autophagy-Independent Functions of the Autophagy Machinery. Cell (2019) 177(7):1682–99. doi: 10.1016/j.cell.2019.05.026

PubMed Abstract | CrossRef Full Text | Google Scholar

13. He C, Klionsky DJ. Regulation Mechanisms and Signaling Pathways of Autophagy. Annu Rev Genet (2009) 43:67–93. doi: 10.1146/annurev-genet-102808-114910

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Yun CW, Lee SH. The Roles of Autophagy in Cancer. Int J Mol Sci (2018) 19(11):3466. doi: 10.3390/ijms19113466

CrossRef Full Text | Google Scholar

15. Galluzzi L, Kepp O, Krautwald S, Kroemer G, Linkermann A. Molecular Mechanisms of Regulated Necrosis. Semin Cell Dev Biol (2014) 35:24–32. doi: 10.1016/j.semcdb.2014.02.006

CrossRef Full Text | Google Scholar

16. Iyer MK, Niknafs YS, Malik R, Singhal U, Sahu A, Hosono Y, et al. The Landscape of Long Noncoding RNAs in the Human Transcriptome. Nat Genet (2015) 47(3):199–208. doi: 10.1038/ng.3192

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Djebali S, Davis CA, Merkel A, Dobin A, Lassmann T, Mortazavi A, et al. Landscape of Transcription in Human Cells. Nature (2012) 489(7414):101–8. doi: 10.1038/nature11233

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Nahand JS, Karimzadeh MR, Nezamnia M, Fatemipour M, Khatami A, Jamshidi S, et al. The Role of miR-146a in Viral Infection. IUBMB Life (2020) 72(3):343–60. doi: 10.1002/iub.2222

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Letafati A, Najafi S, Mottahedi M, Karimzadeh M, Shahini A, Garousi S, et al. MicroRNA Let-7 and Viral Infections: Focus on Mechanisms of Action. Cell Mol Biol Letters (2022) 27(1):1–47. doi: 10.1186/s11658-022-00317-9

CrossRef Full Text | Google Scholar

20. Tamtaji OR, Derakhshan M, Rashidi Noshabad FZ, Razaviyan J, Hadavi R, Jafarpour H, et al. Non-Coding RNAs and Brain Tumors: Insights Into Their Roles in Apoptosis. Front Cell Dev Biol (2021) 9:792185. doi: 10.3389/fcell.2021.792185

CrossRef Full Text | Google Scholar

21. Mousavi SM, Derakhshan M, Baharloii F, Dashti F, Mirazimi SMA, Mahjoubin-Tehran M, et al. Non-Coding RNAs and Glioblastoma: Insight Into Their Roles in Metastasis. Mol Ther Oncolytics (2022) 24:262–87. doi: 10.1016/j.omto.2021.12.015

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Dashti F, Mirazimi SMA, Rabiei N, Fathazam R, Rabiei N, Piroozmand H, et al. The Role of Non-Coding RNAs in Chemotherapy for Gastrointestinal Cancers. Mol Ther Nucleic Acids (2021) 26:892–926. doi: 10.1016/j.omtn.2021.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Balandeh E, Mohammadshafie K, Mahmoudi Y, Hossein Pourhanifeh M, Rajabi A, Bahabadi ZR, et al. Roles of Non-Coding RNAs and Angiogenesis in Glioblastoma. Front Cell Dev Biol (2021) 9:716462. doi: 10.3389/fcell.2021.716462

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Razavi ZS, Asgarpour K, Mahjoubin-Tehran M, Rasouli S, Khan H, Shahrzad MK, et al. Angiogenesis-Related Non-Coding RNAs and Gastrointestinal Cancer. Mol Ther Oncolytics (2021) 21:220–41. doi: 10.1016/j.omto.2021.04.002

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Mahjoubin-Tehran M, Rezaei S, Jesmani A, Birang N, Morshedi K, Khanbabaei H, et al. New Epigenetic Players in Stroke Pathogenesis: From Non-Coding RNAs to Exosomal Non-Coding RNAs. BioMed Pharmacother (2021) 140:111753. doi: 10.1016/j.biopha.2021.111753

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Geisler S, Coller J. RNA in Unexpected Places: Long Non-Coding RNA Functions in Diverse Cellular Contexts. Nat Rev Mol Cell Biol (2013) 14(11):699–712. doi: 10.1038/nrm3679

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Mirzaei H, Hamblin MR. Regulation of Glycolysis by Non-Coding RNAs in Cancer: Switching on the Warburg Effect. Mol Therapy-Oncolytics (2020) 19:218–39. doi: 10.1016/j.omto.2020.10.003

CrossRef Full Text | Google Scholar

28. Hashemipour M, Boroumand H, Mollazadeh S, Tajiknia V, Nourollahzadeh Z, Borj MR, et al. Exosomal microRNAs and Exosomal Long Non-Coding RNAs in Gynecologic Cancers. Gynecologic Oncol (2021) 161(1):314–27. doi: 10.1016/j.ygyno.2021.02.004

CrossRef Full Text | Google Scholar

29. Rahimian N, Razavi ZS, Aslanbeigi F, Mirkhabbaz AM, Piroozmand H, Shahrzad MK, et al. Non-Coding RNAs Related to Angiogenesis in Gynecological Cancer. Gynecol Oncol (2021) 161(3):896–912. doi: 10.1016/j.ygyno.2021.03.020

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Saadat S, Noureddini M, Mahjoubin-Tehran M, Nazemi S, Shojaie L, Aschner M, et al. Pivotal Role of TGF-β/Smad Signaling in Cardiac Fibrosis: Non-Coding RNAs as Effectual Players. Front Cardiovasc Med (2020) 7:588347. doi: 10.3389/fcvm.2020.588347

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Razavi ZS, Tajiknia V, Majidi S, Ghandali M, Mirzaei HR, Rahimian N, et al. Gynecologic Cancers and Non-Coding RNAs: Epigenetic Regulators With Emerging Roles. Crit Rev Oncol Hematol (2021) 157:103192. doi: 10.1016/j.critrevonc.2020.103192

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Yousefi F, Shabaninejad Z, Vakili S, Derakhshan M, Movahedpour A, Dabiri H, et al. TGF-β and WNT Signaling Pathways in Cardiac Fibrosis: Non-Coding RNAs Come Into Focus. Cell Commun Signal (2020) 18(1):87. doi: 10.1186/s12964-020-00555-4

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Hashemian SM, Pourhanifeh MH, Fadaei S, Velayati AA, Mirzaei H, Hamblin MR. Non-Coding RNAs and Exosomes: Their Role in the Pathogenesis of Sepsis. Mol Ther Nucleic Acids (2020) 21:51–74. doi: 10.1016/j.omtn.2020.05.012

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Saadat S, Noureddini M, Mahjoubin-Tehran M, Nazemi S, Shojaie L, Aschner M, et al. Pivotal Role of TGF-β/Smad Signaling in Cardiac Fibrosis: Non-Coding RNAs as Effectual Players. Front Cardiovasc Med (2021) 7:256. doi: 10.3389/fcvm.2020.588347

CrossRef Full Text | Google Scholar

35. Nahand JS, Rabiei N, Fathazam R, Taghizadieh M, Ebrahimi MS, Mahjoubin-Tehran M, et al. Oncogenic Viruses and Chemoresistance: What do We Know? Pharmacol Res (2021) 170:105730. doi: 10.1016/j.phrs.2021.105730

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Irimie AI, Braicu C, Sonea L, Zimta AA, Cojocneanu-Petric R, Tonchev K, et al. A Looking-Glass of non-Coding RNAs in Oral Cancer. Int J Mol Sci (2017) 18(12):2620. doi: 10.3390/ijms18122620

CrossRef Full Text | Google Scholar

37. Gomes CC, de Sousa SF, Calin GA, Gomez RS. The Emerging Role of Long Noncoding RNAs in Oral Cancer. Oral Surg Oral Med Oral Pathol Oral Radiol. (2017) 123(2):235–41. doi: 10.1016/j.oooo.2016.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Zhang Z, Zhang J, Diao L, Han LJO. Small non-Coding RNAs in Human Cancer: Function. Clin Utility Characterization (2021) 40(9):1570–7.

Google Scholar

39. Natsidis P, Schiffer PH, Salvador-Martínez I, Telford MJ. Computational Discovery of Hidden Breaks in 28S Ribosomal RNAs Across Eukaryotes and Consequences for RNA Integrity Numbers. Scientific Reps (2019) 9(1):1–10. doi: 10.1038/s41598-019-55573-1

CrossRef Full Text | Google Scholar

40. Dahariya S, Paddibhatla I, Kumar S, Raghuwanshi S, Pallepati A, Gutti RK. Long NNon-Coding RNA: Classification, Biogenesis and Functions in Blood Cells. Mol Immunol (2019) 112:82–92. doi: 10.1016/j.molimm.2019.04.011

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Gozuacik D, Akkoc Y, Ozturk DG, Kocak MJ. Autophagy-Regulating microRNAs and Cancer. Front Oncol (2017) 7:65. doi: 10.3389/fonc.2017.00065

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Usman S, Jamal A, Teh M-T, Waseem A. Major Molecular Signalling Pathways in Oral Cancer Associated With Therapeutic Resistance. Front Oral Health (2020) 1:15.

Google Scholar

43. Rivera C. Essentials of Oral Cancer. Int J Clin Exp Pathology (2015) 8(9):11884.

Google Scholar

44. Scully C, Porter S. Oral Cancer. Western J Med (2001) 174(5):348. doi: 10.1136/ewjm.174.5.348

CrossRef Full Text | Google Scholar

45. van der Waal I, Scully C. Oral Cancer: Comprehending the Condition, Causes, Controversies, Control and Consequences. 4. Potentially Malignant Disorders of the Oral and Oropharyngeal Mucosa. Dental Update (2011) 38(2):138–40.

PubMed Abstract | Google Scholar

46. Gupta N, Gupta R, Acharya A, Patthi B, Goud V, Reddy S, et al. Changing Trends in Oral Cancer–a Global Scenario. Nepal J Epidemiol (2016) 6(4):613–9.

PubMed Abstract | Google Scholar

47. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global Cancer Statistics. CA: Cancer J Clin (2011) 61(2):69–90. doi: 10.3322/caac.20107

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Jadhav KB, Gupta N. Clinicopathological Prognostic Implicators of Oral Squamous Cell Carcinoma: Need to Understand and Revise. North Am J Med Sci (2013) 5(12):671. doi: 10.4103/1947-2714.123239

CrossRef Full Text | Google Scholar

49. Hernandez BY, Zhu X, Goodman MT, Gatewood R, Mendiola P, Quinata K, et al. Betel Nut Chewing, Oral Premalignant Lesions, and the Oral Microbiome. PLoS One (2017) 12(2):e0172196. doi: 10.1371/journal.pone.0172196

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Irfan M, Delgado RZR, Frias-Lopez J. The Oral Microbiome and Cancer. Front Immunol (2020) 11:591088. doi: 10.3389/fimmu.2020.591088

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Kilian M, Chapple I, Hannig M, Marsh P, Meuric V, Pedersen A, et al. The Oral Microbiome–an Update for Oral Healthcare Professionals. British Dental J (2016) 221(10):657–66. doi: 10.1038/sj.bdj.2016.865

CrossRef Full Text | Google Scholar

52. Kitamoto S, Nagao-Kitamoto H, Jiao Y, Gillilland MG III, Hayashi A, Imai J, et al. The Intermucosal Connection Between the Mouth and Gut in Commensal Pathobiont-Driven Colitis. Cell (2020) 182(2):447–62. e14. doi: 10.1016/j.cell.2020.05.048

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Kitamoto S, Nagao-Kitamoto H, Hein R, Schmidt T, Kamada N. The Bacterial Connection Between the Oral Cavity and the Gut Diseases. J Dent Res (2020) 99(9):1021–9. doi: 10.1177/0022034520924633

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Zanoni DK, Patel SG, Shah JP. Changes in the 8th Edition of the American Joint Committee on Cancer (AJCC) Staging of Head and Neck Cancer: Rationale and Implications. Curr Oncol Rep (2019) 21(6):52. doi: 10.1007/s11912-019-0799-x

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Müller S. Update From the 4th Edition of the World Health Organization of Head and Neck Tumours: Tumours of the Oral Cavity and Mobile Tongue. Head Neck Pathol (2017) 11(1):33–40. doi: 10.1007/s12105-017-0792-3

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Sarradin V, Siegfried A, Uro-Coste E, Delord J-P. WHO Classification of Head and Neck Tumours 2017: Main Novelties and Update of Diagnostic Methods. Bull du Cancer (2018) 105(6):596–602. doi: 10.1016/j.bulcan.2018.04.004

CrossRef Full Text | Google Scholar

57. Kennedy R. WHO Is in and WHO Is Out of the Mouth, Salivary Glands, and Jaws Sections of the 4th Edition of the WHO Classification of Head and Neck Tumours. Br J Oral Maxillofac Surgery (2018) 56(2):90–5. doi: 10.1016/j.bjoms.2017.12.009

CrossRef Full Text | Google Scholar

58. Turner L, Mupparapu M, Akintoye SO. Review of the Complications Associated With Treatment of Oropharyngeal Cancer: A Guide to the Dental Practitioner. Quintessence Int (Berlin Germany: 1985). (2013) 44(3):267.

Google Scholar

59. Day TA, Davis BK, Gillespie MB, Joe JK, Kibbey M, Martin-Harris B, et al. Oral Cancer Treatment. Curr Treat Options Oncol (2003) 4(1):27. doi: 10.1007/s11864-003-0029-4

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Ketabat F, Pundir M, Mohabatpour F, Lobanova L, Koutsopoulos S, Hadjiiski L, et al. Controlled Drug Delivery Systems for Oral Cancer Treatment—Current Status and Future Perspectives. Pharmaceutics (2019) 11(7):302.

Google Scholar

61. Amelio I, Melino G, Knight RA. Cell Death Pathology: Cross-Talk With Autophagy and Its Clinical Implications. Biochem Biophys Res Commun (2011) 414(2):277–81. doi: 10.1016/j.bbrc.2011.09.080

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Nahand JS, Shojaie L, Akhlagh SA, Ebrahimi MS, Mirzaei HR, Baghi HB, et al. Cell Death Pathways and Viruses: Role of microRNAs. Mol Therapy-Nucleic Acids (2021) 24:487–511. doi: 10.1016/j.omtn.2021.03.011

CrossRef Full Text | Google Scholar

63. Eum K-H, Lee M. Crosstalk Between Autophagy and Apoptosis in the Regulation of Paclitaxel-Induced Cell Death in V-Ha-Ras-Transformed Fibroblasts. Mol Cell Biochem (2011) 348(1):61–8. doi: 10.1007/s11010-010-0638-8

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Ghobrial IM, Witzig TE, Adjei AA. Targeting Apoptosis Pathways in Cancer Therapy. CA: Cancer J Clin (2005) 55(3):178–94. doi: 10.3322/canjclin.55.3.178

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Mathew R, Karantza-Wadsworth V, White E. Role of Autophagy in Cancer. Nat Rev Cancer (2007) 7(12):961–7. doi: 10.1038/nrc2254

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Choi KS. Autophagy and Cancer. Exp Mol Med (2012) 44(2):109–20. doi: 10.3858/emm.2012.44.2.033

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Kundu M, Thompson CB. Autophagy: Basic Principles and Relevance to Disease. Annu Rev Pathol Mech Dis (2008) 3:427–55. doi: 10.1146/annurev.pathmechdis.2.010506.091842

CrossRef Full Text | Google Scholar

68. Mohammadi AH, Seyedmoalemi S, Moghanlou M, Akhlagh SA, Talaei Zavareh SA, Hamblin MR, et al. MicroRNAs and Synaptic Plasticity: From Their Molecular Roles to Response to Therapy. Mol Neurobiol (2022). doi: 10.1007/s12035-022-02907-2

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Mousavi SM, Amin Mahdian SM, Ebrahimi MS, Taghizadieh M, Vosough M, Sadri Nahand J, et al. Microfluidics for Detection of Exosomes and microRNAs in Cancer: State of the Art. Mol Ther Nucleic Acids (2022) 28:758–91. doi: 10.1016/j.omtn.2022.04.011

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Ahmadpour S, Taghavi T, Sheida A, Tamehri Zadeh SS, Hamblin MR, Mirzaei H. Effects of microRNAs and Long Non-Coding RNAs on Chemotherapy Response in Glioma. Epigenomics. (2022) 14(9):549–63. doi: 10.2217/epi-2021-0439

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Jafarzadeh A, Paknahad MH, Nemati M, Jafarzadeh S, Mahjoubin-Tehran M, Rajabi A, et al. Dysregulated Expression and Functions of microRNA-330 in Cancers: A Potential Therapeutic Target. BioMed Pharmacother (2022) 146:112600. doi: 10.1016/j.biopha.2021.112600

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Dorraki N, Ghale-Noie ZN, Ahmadi NS, Keyvani V, Bahadori RA, Nejad AS, et al. miRNA-148b and Its Role in Various Cancers. Epigenomics (2021) 13(24):1939–60. doi: 10.2217/epi-2021-0155

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Jafarzadeh A, Naseri A, Shojaie L, Nemati M, Jafarzadeh S, Bannazadeh Baghi H, et al. MicroRNA-155 and Antiviral Immune Responses. Int Immunopharmacol (2021) 101(Pt A):108188. doi: 10.1016/j.intimp.2021.108188

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Nahand JS, Mahjoubin-Tehran M, Moghoofei M, Pourhanifeh MH, Mirzaei HR, Asemi Z, et al. Exosomal miRNAs: Novel Players in Viral Infection. Epigenomics (2020) 12(4):353–70. doi: 10.2217/epi-2019-0192

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Amiri A, Mahjoubin-Tehran M, Asemi Z, Shafiee A, Hajighadimi S, Moradizarmehri S, et al. Role of Resveratrol in Modulating microRNAs in Human Diseases: From Cancer to Inflammatory Disorder. Curr Med Chem (2021) 28(2):360–76.

PubMed Abstract | Google Scholar

76. Pourhanifeh MH, Mahjoubin-Tehran M, Shafiee A, Hajighadimi S, Moradizarmehri S, Mirzaei H, et al. MicroRNAs and Exosomes: Small Molecules With Big Actions in Multiple Myeloma Pathogenesis. IUBMB Life (2020) 72(3):314–33. doi: 10.1002/iub.2211

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Aghdam AM, Amiri A, Salarinia R, Masoudifar A, Ghasemi F, Mirzaei H. MicroRNAs as Diagnostic, Prognostic, and Therapeutic Biomarkers in Prostate Cancer. Crit Rev Eukaryot Gene Expr (2019) 29(2):127–39. doi: 10.1615/CritRevEukaryotGeneExpr.2019025273

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Masoudi MS, Mehrabian E, Mirzaei H. MiR-21: A Key Player in Glioblastoma Pathogenesis. J Cell Biochem (2018) 119(2):1285–90. doi: 10.1002/jcb.26300

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Mirzaei H. Stroke in Women: Risk Factors and Clinical Biomarkers. J Cell Biochem (2017) 118(12):4191–202. doi: 10.1002/jcb.26130

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Keshavarzi M, Sorayayi S, Jafar Rezaei M, Mohammadi M, Ghaderi A, Rostamzadeh A, et al. MicroRNAs-Based Imaging Techniques in Cancer Diagnosis and Therapy. J Cell Biochem (2017) 118(12):4121–8. doi: 10.1002/jcb.26012

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Gholamin S, Mirzaei H, Razavi SM, Hassanian SM, Saadatpour L, Masoudifar A, et al. GD2-Targeted Immunotherapy and Potential Value of Circulating microRNAs in Neuroblastoma. J Cell Physiol (2018) 233(2):866–79. doi: 10.1002/jcp.25793

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Mirzaei H, Fathullahzadeh S, Khanmohammadi R, Darijani M, Momeni F, Masoudifar A, et al. State of the Art in microRNA as Diagnostic and Therapeutic Biomarkers in Chronic Lymphocytic Leukemia. J Cell Physiol (2018) 233(2):888–900. doi: 10.1002/jcp.25799

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Saadatpour L, Fadaee E, Fadaei S, Nassiri Mansour R, Mohammadi M, Mousavi SM, et al. Glioblastoma: Exosome and microRNA as Novel Diagnosis Biomarkers. Cancer Gene Ther (2016) 23(12):415–8. doi: 10.1038/cgt.2016.48

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Yan B, Gu W, Yang Z, Gu Z, Yue X, Gu Q, et al. Downregulation of a Long Noncoding RNA-Ncrupar Contributes to Tumor Inhibition in Colorectal Cancer. Tumor Biol (2014) 35(11):11329–35. doi: 10.1007/s13277-014-2465-0

CrossRef Full Text | Google Scholar

85. Bohnsack MT, Czaplinski K, GÖRLICH D. Exportin 5 Is a RanGTP-Dependent dsRNA-Binding Protein That Mediates Nuclear Export of pre-miRNAs. Rna. (2004) 10(2):185–91. doi: 10.1261/rna.5167604

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Yi R, Qin Y, Macara IG, Cullen BR. Exportin-5 Mediates the Nuclear Export of pre-microRNAs and Short Hairpin RNAs. Genes Dev (2003) 17(24):3011–6. doi: 10.1101/gad.1158803

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Yang J-S, Phillips MD, Betel D, Mu P, Ventura A, Siepel AC, et al. Widespread Regulatory Activity of Vertebrate microRNA* Species. RNA (2011) 17(2):312–26. doi: 10.1261/rna.2537911

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Yamada Y, Koshizuka K, Hanazawa T, Kikkawa N, Okato A, Idichi T, et al. Passenger Strand of miR-145-3p Acts as a Tumor-Suppressor by Targeting MYO1B in Head and Neck Squamous Cell Carcinoma. Int J Oncol (2018) 52(1):166–78.

PubMed Abstract | Google Scholar

89. Lee HY, Zhou K, Smith AM, Noland CL, Doudna JA. Differential Roles of Human Dicer-Binding Proteins TRBP and PACT in Small RNA Processing. Nucleic Acids Res (2013) 41(13):6568–76. doi: 10.1093/nar/gkt361

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Neilsen CT, Goodall GJ, Bracken CP. IsomiRs–The Overlooked Repertoire in the Dynamic Micrornaome. Trends Genet (2012) 28(11):544–9. doi: 10.1016/j.tig.2012.07.005

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Ohanian M, Humphreys DT, Anderson E, Preiss T, Fatkin D. A Heterozygous Variant in the Human Cardiac miR-133 Gene, MIR133A2, Alters miRNA Duplex Processing and Strand Abundance. BMC Genet (2013) 14(1):1–10. doi: 10.1186/1471-2156-14-18

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Meijer HA, Smith EM, Bushell M. Regulation of miRNA Strand Selection: Follow the Leader? Biochem Soc Trans (2014) 42(4):1135–40. doi: 10.1042/BST20140142

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Filipowicz W, Bhattacharyya SN, Sonenberg N. Mechanisms of Post-Transcriptional Regulation by microRNAs: Are the Answers in Sight? Nat Rev Genet (2008) 9(2):102–14. doi: 10.1038/nrg2290

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Shirjang S, Mansoori B, Asghari S, Duijf PH, Mohammadi A, Gjerstorff M, et al. MicroRNAs in Cancer Cell Death Pathways: Apoptosis and Necroptosis. Free Radical Biol Med (2019) 139:1–15. doi: 10.1016/j.freeradbiomed.2019.05.017

CrossRef Full Text | Google Scholar

95. Fathullahzadeh S, Mirzaei H, Honardoost MA, Sahebkar A, Salehi M. Circulating microRNA-192 as a Diagnostic Biomarker in Human Chronic Lymphocytic Leukemia. Cancer Gene Ther (2016) 23(10):327–32. doi: 10.1038/cgt.2016.34

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Salarinia R, Sahebkar A, Peyvandi M, Mirzaei HR, Jaafari MR, Riahi MM, et al. Epi-Drugs and Epi-miRs: Moving Beyond Current Cancer Therapies. Curr Cancer Drug Targets. (2016) 16(9):773–88. doi: 10.2174/1568009616666151207110143

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Mohammadi M, Goodarzi M, Jaafari MR, Mirzaei HR, Mirzaei H. Circulating microRNA: A New Candidate for Diagnostic Biomarker in Neuroblastoma. Cancer Gene Ther (2016) 23(11):371–2. doi: 10.1038/cgt.2016.45

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Mirzaei H, Khataminfar S, Mohammadparast S, Sales SS, Maftouh M, Mohammadi M, et al. Circulating microRNAs as Potential Diagnostic Biomarkers and Therapeutic Targets in Gastric Cancer: Current Status and Future Perspectives. Curr Med Chem (2016) 23(36):4135–50. doi: 10.2174/0929867323666160818093854

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Davoodvandi A, Marzban H, Goleij P, Sahebkar A, Morshedi K, Rezaei S, et al. Effects of Therapeutic Probiotics on Modulation of microRNAs. Cell Commun Signal (2021) 19(1):4. doi: 10.1186/s12964-020-00668-w

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Ashrafizadeh M, Zarrabi A, Hashemipour M, Vosough M, Najafi M, Shahinozzaman M, et al. Sensing the Scent of Death: Modulation of microRNAs by Curcumin in Gastrointestinal Cancers. Pharmacol Res (2020) 160:105199. doi: 10.1016/j.phrs.2020.105199

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Pourhanifeh MH, Vosough M, Mahjoubin-Tehran M, Hashemipour M, Nejati M, Abbasi-Kolli M, et al. Autophagy-Related microRNAs: Possible Regulatory Roles and Therapeutic Potential in and Gastrointestinal Cancers. Pharmacol Res (2020) 161:105133. doi: 10.1016/j.phrs.2020.105133

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Rezaei S, Mahjoubin-Tehran M, Aghaee-Bakhtiari SH, Jalili A, Movahedpour A, Khan H, et al. Autophagy-Related MicroRNAs in Chronic Lung Diseases and Lung Cancer. Crit Rev Oncol Hematol (2020) 153:103063. doi: 10.1016/j.critrevonc.2020.103063

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Li C, Hashimi SM, Good DA, Cao S, Duan W, Plummer PN, et al. Apoptosis and Micro RNA Aberrations in Cancer. Clin Exp Pharmacol Physiol (2012) 39(8):739–46. doi: 10.1111/j.1440-1681.2012.05700.x

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Su Z, Yang Z, Xu Y, Chen Y, Yu Q. MicroRNAs in Apoptosis, Autophagy and Necroptosis. Oncotarget. (2015) 6(11):8474. doi: 10.18632/oncotarget.3523

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Yousefpouran S, Mostafaei S, Manesh PV, Iranifar E, Bokharaei-Salim F, Nahand JS, et al. The Assessment of Selected MiRNAs Profile in HIV, HBV, HCV, HIV/HCV, HIV/HBV Co-Infection and Elite Controllers for Determination of Biomarker. Microb Pathog (2020) 147:104355. doi: 10.1016/j.micpath.2020.104355

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Donyavi T, Bokharaei-Salim F, Baghi HB, Khanaliha K, Janat-Makan MA, Karimi B, et al. Acute and Post-Acute Phase of COVID-19: Analyzing Expression Patterns of miRNA-29a-3p, 146a-3p, 155-5p, and Let-7b-3p in PBMC. Int Immunopharmacol (2021) 97:107641. doi: 10.1016/j.intimp.2021.107641

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Visalli M, Bartolotta M, Polito F, Oteri R, Barbera A, Arrigo R, et al. miRNA Expression Profiling Regulates Necroptotic Cell Death in Hepatocellular Carcinoma. Int J Oncol (2018) 53(2):771–80. doi: 10.3892/ijo.2018.4410

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Bader AG, Brown D, Winkler M. The Promise of microRNA Replacement Therapy. Cancer Res (2010) 70(18):7027–30. doi: 10.1158/0008-5472.CAN-10-2010

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Ono K. Functions of microRNA-33a/B and microRNA Therapeutics. J Cardiol (2016) 67(1):28–33. doi: 10.1016/j.jjcc.2015.10.017

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Lu J, Getz G, Miska EA, Alvarez-Saavedra E, Lamb J, Peck D, et al. MicroRNA Expression Profiles Classify Human Cancers. Nature (2005) 435(7043):834–8. doi: 10.1038/nature03702

PubMed Abstract | CrossRef Full Text | Google Scholar

111. Kumar MS, Lu J, Mercer KL, Golub TR, Jacks T. Impaired microRNA Processing Enhances Cellular Transformation and Tumorigenesis. Nat Genet (2007) 39(5):673–7. doi: 10.1038/ng2003

PubMed Abstract | CrossRef Full Text | Google Scholar

112. Esquela-Kerscher A, Slack FJ. Oncomirs—microRNAs With a Role in Cancer. Nat Rev Cancer (2006) 6(4):259–69. doi: 10.1038/nrc1840

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Hayden EC. Cancer Complexity Slows Quest for Cure. Nature (2008) 455(7210):148.

PubMed Abstract | Google Scholar

114. Yaacoub K, Pedeux R, Tarte K, Guillaudeux T. Role of the Tumor Microenvironment in Regulating Apoptosis and Cancer Progression. Cancer letters (2016) 378(2):150–9. doi: 10.1016/j.canlet.2016.05.012

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Reed JC. Mechanisms of Apoptosis. Am J pathology (2000) 157(5):1415–30. doi: 10.1016/S0002-9440(10)64779-7

CrossRef Full Text | Google Scholar

116. Chen Q, Gong B, Almasan A. Distinct Stages of Cytochrome C Release From Mitochondria: Evidence for a Feedback Amplification Loop Linking Caspase Activation to Mitochondrial Dysfunction in Genotoxic Stress Induced Apoptosis. Cell Death Differentiation (2000) 7(2):227–33. doi: 10.1038/sj.cdd.4400629

PubMed Abstract | CrossRef Full Text | Google Scholar

117. Ow Y-LP, Green DR, Hao Z, Mak TW. Cytochrome C: Functions Beyond Respiration. Nat Rev Mol Cell Biol (2008) 9(7):532–42. doi: 10.1038/nrm2434

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Boulares AH, Zoltoski AJ, Yakovlev A, Xu M, Smulson ME. Roles of DNA Fragmentation Factor and Poly (ADP-Ribose) Polymerase in an Amplification Phase of Tumor Necrosis Factor-Induced Apoptosis. J Biol Chem (2001) 276(41):38185–92. doi: 10.1074/jbc.M100629200

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Cui Z, Bao X, Liu Q, Li Q, Huang L, Wang H, et al. MicroRNA-378-3p/5p Represses Proliferation and Induces Apoptosis of Oral Squamous Carcinoma Cells via Targeting KLK4. Clin Exp Pharmacol Physiol (2020) 47(4):713–24. doi: 10.1111/1440-1681.13235

PubMed Abstract | CrossRef Full Text | Google Scholar

120. Pardini B, De Maria D, Francavilla A, Di Gaetano C, Ronco G, Naccarati A. MicroRNAs as Markers of Progression in Cervical Cancer: A Systematic Review. BMC Cancer (2018) 18(1):1–17. doi: 10.1186/s12885-018-4590-4

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Wang Z, Yao W, Li K, Zheng N, Zheng C, Zhao X, et al. Reduction of miR-21 Induces SK-N-SH Cell Apoptosis and Inhibits Proliferation via PTEN/Pdcd4. Oncol Letters (2017) 13(6):4727–33. doi: 10.3892/ol.2017.6052

CrossRef Full Text | Google Scholar

122. Hao Y, Huang J, Ma Y, Chen W, Fan Q, Sun X, et al. Asiatic Acid Inhibits Proliferation, Migration and Induces Apoptosis by Regulating Pdcd4 via the PI3K/Akt/mTOR/p70S6K Signaling Pathway in Human Colon Carcinoma Cells. Oncol letters (2018) 15(6):8223–30. doi: 10.3892/ol.2018.8417

CrossRef Full Text | Google Scholar

123. Syed DN, Afaq F, Sarfaraz S, Khan N, Kedlaya R, Setaluri V, et al. Delphinidin Inhibits Cell Proliferation and Invasion via Modulation of Met Receptor Phosphorylation. Toxicol Appl Pharmacol (2008) 231(1):52–60. doi: 10.1016/j.taap.2008.03.023

PubMed Abstract | CrossRef Full Text | Google Scholar

124. Liu C, Tong Z, Tan J, Xin Z, Wang Z, Tian L. MicroRNA−21−5p Targeting PDCD4 Suppresses Apoptosis via Regulating the PI3K/AKT/FOXO1 Signaling Pathway in Tongue Squamous Cell Carcinoma. Exp Ther Med (2019) 18(5):3543–51.

PubMed Abstract | Google Scholar

125. Manasa V, Kannan SJTB. Impact of microRNA Dynamics on Cancer Hallmarks: An Oral Cancer Scenario. Tumour Biol (2017) 39(3):1010428317695920. doi: 10.1177/1010428317695920

PubMed Abstract | CrossRef Full Text | Google Scholar

126. Li J, Huang H, Sun L, Yang M, Pan C, Chen W, et al. MiR-21 Indicates Poor Prognosis in Tongue Squamous Cell Carcinomas as an Apoptosis Inhibitor. Clin Cancer Res (2009) 15(12):3998–4008. doi: 10.1158/1078-0432.CCR-08-3053

PubMed Abstract | CrossRef Full Text | Google Scholar

127. Zhang X, Ng W-L, Wang P, Tian L, Werner E, Wang H, et al. MicroRNA-21 Modulates the Levels of Reactive Oxygen Species by Targeting SOD3 and Tnfα. Cancer Res (2012) 72(18):4707–13. doi: 10.1158/0008-5472.CAN-12-0639

PubMed Abstract | CrossRef Full Text | Google Scholar

128. Liu X, Wang A, Heidbreder CE, Jiang L, Yu J, Kolokythas A, et al. MicroRNA-24 Targeting RNA-Binding Protein DND1 in Tongue Squamous Cell Carcinoma. FEBS Lett (2010) 584(18):4115–20. doi: 10.1016/j.febslet.2010.08.040

PubMed Abstract | CrossRef Full Text | Google Scholar

129. Liu CJ, Lin SC, Yang CC, Cheng HW, Chang KW. Exploiting Salivary miR-31 as a Clinical Biomarker of Oral Squamous Cell Carcinoma. Head Neck (2012) 34(2):219–24. doi: 10.1002/hed.21713

PubMed Abstract | CrossRef Full Text | Google Scholar

130. Wong T-S, Ho W-K, Chan JY-W, Ng RW-M, Wei WIJT. Mature miR-184 and Squamous Cell Carcinoma of the Tongue. Scientific World J (2009) 9:130–2. doi: 10.1100/tsw.2009.12

CrossRef Full Text | Google Scholar

131. Yu J, Ryan DG, Getsios S, Oliveira-Fernandes M, Fatima A, Lavker RM. MicroRNA-184 Antagonizes microRNA-205 to Maintain SHIP2 Levels in Epithelia. Proc Natl Acad Sci U S A (2008) 105(49):19300–5. doi: 10.1073/pnas.0803992105

PubMed Abstract | CrossRef Full Text | Google Scholar

132. Dai R, Li J, Liu Y, Yan D, Chen S, Duan C, et al. miR-221/222 Suppression Protects Against Endoplasmic Reticulum Stress-Induced Apoptosis via p27Kip1-and MEK/ERK-Mediated Cell Cycle Regulation. Biol Chem (2010) 391(7):791–801. doi: 10.1515/bc.2010.072

PubMed Abstract | CrossRef Full Text | Google Scholar

133. Philipp-Staheli J, Payne SR, Kemp CJ. p27Kip1: Regulation and Function of a Haploinsufficient Tumor Suppressor and Its Misregulation in Cancer. Exp Cell Res (2001) 264(1):148–68. doi: 10.1006/excr.2000.5143

PubMed Abstract | CrossRef Full Text | Google Scholar

134. Kudo Y, Kitajima S, Ogawa I, Kitagawa M, Miyauchi M, Takata T. Small Interfering RNA Targeting of S Phase Kinase–Interacting Protein 2 Inhibits Cell Growth of Oral Cancer Cells by Inhibiting P27 Degradation. Mol Cancer Ther (2005) 4(3):471–6. doi: 10.1158/1535-7163.MCT-04-0232

PubMed Abstract | CrossRef Full Text | Google Scholar

135. Fu S, Chen H, Cheng P, Zhang C, Wu Y. MiR-155 Regulates Oral Squamous Cell Carcinoma Tca8113 Cell Proliferation, Cycle, and Apoptosis via Regulating p27Kip1. Eur Rev Med Pharmacol Sci (2017) 21(5):937–44.

PubMed Abstract | Google Scholar

136. Tsai H-L, Pang S-Y, Wang H-C, Luo C-W, Li Q-L, Chen T-Y, et al. Impact of BMI1 Expression on the Apoptotic Effect of Paclitaxel in Colorectal Cancer. Am J Cancer Res (2019) 9(11):2544.

PubMed Abstract | Google Scholar

137. Haupt Y, Bath M, Harris A, Adams J. Bmi-1 Transgene Induces Lymphomas and Collaborates With Myc in Tumorigenesis. Oncogene (1993) 8(11):3161–4.

PubMed Abstract | Google Scholar

138. Venkataraman S, Alimova I, Fan R, Harris P, Foreman N, Vibhakar R. MicroRNA 128a Increases Intracellular ROS Level by Targeting Bmi-1 and Inhibits Medulloblastoma Cancer Cell Growth by Promoting Senescence. PLoS One (2010) 5(6):e10748. doi: 10.1371/journal.pone.0010748

PubMed Abstract | CrossRef Full Text | Google Scholar

139. He X, Dong Y, Wu CW, Zhao Z, Ng SS, Chan FK, et al. MicroRNA-218 Inhibits Cell Cycle Progression and Promotes Apoptosis in Colon Cancer by Downregulating BMI1 Polycomb Ring Finger Oncogene. Mol Med (2012) 18(12):1491–8. doi: 10.2119/molmed.2012.00304

CrossRef Full Text | Google Scholar

140. Kim JS, Choi DW, Kim CS, Yu SK, Kim HJ, Go DS, et al. MicroRNA-203 Induces Apoptosis by Targeting Bmi-1 in YD-38 Oral Cancer Cells. Anticancer Res (2018) 38(6):3477–85. doi: 10.21873/anticanres.12618

PubMed Abstract | CrossRef Full Text | Google Scholar

141. Jang CW, Chen CH, Chen CC, Chen JY, Su YH, Chen RH. TGF-Beta Induces Apoptosis Through Smad-Mediated Expression of DAP-Kinase. Nat Cell Biol (2002) 4(1):51–8. doi: 10.1038/ncb731

PubMed Abstract | CrossRef Full Text | Google Scholar

142. Huang C, Song H, Lai L. The Role and Mechanism of microRNA−18a−5p in Oral Squamous Cell Carcinoma. Mol Med Rep (2019) 20(2):1637–44.

PubMed Abstract | Google Scholar

143. Song L, Lin C, Wu Z, Gong H, Zeng Y, Wu J, et al. miR-18a Impairs DNA Damage Response Through Downregulation of Ataxia Telangiectasia Mutated (ATM) Kinase. PLoS One (2011) 6(9):e25454. doi: 10.1371/journal.pone.0025454

PubMed Abstract | CrossRef Full Text | Google Scholar

144. Liu WH, Yeh SH, Lu CC, Yu SL, Chen HY, Lin CY, et al. MicroRNA-18a Prevents Estrogen Receptor-α Expression, Promoting Proliferation of Hepatocellular Carcinoma Cells. Gastroenterology (2009) 136(2):683–93. doi: 10.1053/j.gastro.2008.10.029

PubMed Abstract | CrossRef Full Text | Google Scholar

145. Liang C, Zhang X, Wang H-M, Liu X-M, Zhang X-J, Zheng B, et al. MicroRNA-18a-5p Functions as an Oncogene by Directly Targeting IRF2 in Lung Cancer. Cell Death Dis (2017) 8(5):e2764–e. doi: 10.1038/cddis.2017.145

PubMed Abstract | CrossRef Full Text | Google Scholar

146. Guo Y, Shi W, Fang R. Mir−18a−5p Promotes Melanoma Cell Proliferation and Inhibits Apoptosis and Autophagy by Targeting EPHA7 Signaling. Mol Med Rep (2021) 23(1):1–. doi: 10.3892/mmr.2020.11717

PubMed Abstract | CrossRef Full Text | Google Scholar

147. Gao S, Zhu D, Zhu J, Shen L, Zhu M, Ren X. miR-18a-5p Targets FBP1 to Promote Proliferation, Migration, and Invasion of Liver Cancer Cells and Inhibit Cell Apoptosis. Comput Math Methods Med (2021) 2021:3334065. doi: 10.1155/2021/3334065

PubMed Abstract | CrossRef Full Text | Google Scholar

148. Cantile M, Schiavo G, Terracciano L, Cillo C. Homeobox Genes in Normal and Abnormal Vasculogenesis. Nutr Metab Cardiovasc dis (2008) 18(10):651–8. doi: 10.1016/j.numecd.2008.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

149. Waltregny D, Alami Y, Clausse N, Jd L, Castronovo V. Overexpression of the Homeobox Gene HOXC8 in Human Prostate Cancer Correlates With Loss of Tumor Differentiation. Prostate (2002) 50(3):162–9. doi: 10.1002/pros.10045

PubMed Abstract | CrossRef Full Text | Google Scholar

150. McGonigle GJ, Lappin T, Thompson A. Grappling With the HOX Network in Hematopoiesis and Leukemia. Front Biosci (2008) 13:4297–308. doi: 10.2741/3006

PubMed Abstract | CrossRef Full Text | Google Scholar

151. Maroulakou IG, Spyropoulos DD. The Study of HOX Gene Function in Hematopoietic, Breast and Lung Carcinogenesis. Anticancer Res (2003) 23(3A):2101–10.

PubMed Abstract | Google Scholar

152. Maeda K, Hamada JI, Takahashi Y, Tada M, Yamamoto Y, Sugihara T, et al. Altered Expressions of HOX Genes in Human Cutaneous Malignant Melanoma. Int J Cancer (2005) 114(3):436–41. doi: 10.1002/ijc.20706

PubMed Abstract | CrossRef Full Text | Google Scholar

153. Hassan NMM, Hamada J-I, Murai T, Seino A, Takahashi Y, Tada M, et al. Aberrant Expression of HOX Genes in Oral Dysplasia and Squamous Cell Carcinoma Tissues. Oncol Res Featuring Preclinical Clin Cancer Ther (2006) 16(5):217–24. doi: 10.3727/000000006783981080

CrossRef Full Text | Google Scholar

154. De Souza Setubal Destro MF, Bitu CC, Zecchin KG, Graner E, Lopes MA, Kowalski LP, et al. Overexpression of HOXB7 Homeobox Gene in Oral Cancer Induces Cellular Proliferation and Is Associated With Poor Prognosis. Int J Oncol (2010) 36(1):141–9.

PubMed Abstract | Google Scholar

155. Wu X, Chen H, Parker B, Rubin E, Zhu T, Lee J. HOXB7, a Homeodomain Protein, Is Overexpressed in Breast Cancer and Confers Epithelial-Mesenchymal Transition. Cancer Res (2006) 66:9527. doi: 10.1158/0008-5472.CAN-05-4470

PubMed Abstract | CrossRef Full Text | Google Scholar

156. Chen H, Lee JS, Liang X, Zhang H, Zhu T, Zhang Z, et al. Hoxb7 Inhibits Transgenic HER-2/Neu–Induced Mouse Mammary Tumor Onset But Promotes Progression and Lung Metastasis. Cancer Res (2008) 68(10):3637–44. doi: 10.1158/0008-5472.CAN-07-2926

PubMed Abstract | CrossRef Full Text | Google Scholar

157. Wang K, Jin J, Ma T, Zhai H. MiR-376c-3p Regulates the Proliferation, Invasion, Migration, Cell Cycle and Apoptosis of Human Oral Squamous Cancer Cells by Suppressing HOXB7. Biomed Pharmacother (2017) 91:517–25. doi: 10.1016/j.biopha.2017.04.050

PubMed Abstract | CrossRef Full Text | Google Scholar

158. Naqvi AR, Shango J, Seal A, Shukla D, Nares S. Herpesviruses and microRNAs: New Pathogenesis Factors in Oral Infection and Disease? Front Immunol (2018) 9:2099. doi: 10.3389/fimmu.2018.02099

PubMed Abstract | CrossRef Full Text | Google Scholar

159. Naqvi AR. Immunomodulatory Roles of Human Herpesvirus-Encoded microRNA in Host-Virus Interaction. Rev Med Virol (2020) 30(1):. doi: 10.1002/rmv.2081

PubMed Abstract | CrossRef Full Text | Google Scholar

160. Cai L, Lyu X, Luo W, Cui X, Ye Y, Yuan C, et al. EBV-miR-BART7-3p Promotes the EMT and Metastasis of Nasopharyngeal Carcinoma Cells by Suppressing the Tumor Suppressor PTEN. Oncogene (2015) 34(17):2156–66. doi: 10.1038/onc.2014.341

PubMed Abstract | CrossRef Full Text | Google Scholar

161. Cai L, Ye Y, Jiang Q, Chen Y, Lyu X, Li J, et al. Epstein–Barr Virus-Encoded microRNA BART1 Induces Tumour Metastasis by Regulating PTEN-Dependent Pathways in Nasopharyngeal Carcinoma. Nat Commun (2015) 6(1):1–13. doi: 10.1038/ncomms8353

CrossRef Full Text | Google Scholar

162. Maclellan SA, Lawson J, Baik J, Guillaud M, Poh CF, Garnis C. Differential Expression of miRNAs in the Serum of Patients With High-Risk Oral Lesions. Cancer Med (2012) 1(2):268–74. doi: 10.1002/cam4.17

PubMed Abstract | CrossRef Full Text | Google Scholar

163. Ferre F, Colantoni A, Helmer-Citterich M. Revealing Protein–lncRNA Interaction. Briefings Bioinf (2016) 17(1):106–16. doi: 10.1093/bib/bbv031

CrossRef Full Text | Google Scholar

164. Abbasi-Kolli M, Nahand JS, Kiani SJ, Khanaliha K, Khatami A, Taghizadieh M, et al. The Expression Patterns of MALAT-1, NEAT-1, THRIL, and miR-155-5p in the Acute to the Post-Acute Phase of COVID-19 Disease. Braz J Infect Dis (2022) 26(3):102354. doi: 10.1016/j.bjid.2022.102354

PubMed Abstract | CrossRef Full Text | Google Scholar

165. Shafabakhsh R, Arianfar F, Vosough M, Mirzaei HR, Mahjoubin-Tehran M, Khanbabaei H, et al. Autophagy and Gastrointestinal Cancers: The Behind the Scenes Role of Long non-Coding RNAs in Initiation, Progression, and Treatment Resistance. Cancer Gene Ther (2021) 28(12):1229–55. doi: 10.1038/s41417-020-00272-7

PubMed Abstract | CrossRef Full Text | Google Scholar

166. Vafadar A, Shabaninejad Z, Movahedpour A, Mohammadi S, Fathullahzadeh S, Mirzaei HR, et al. Long Non-Coding RNAs As Epigenetic Regulators in Cancer. Curr Pharm Des (2019) 25(33):3563–77. doi: 10.2174/1381612825666190830161528

PubMed Abstract | CrossRef Full Text | Google Scholar

167. Jarroux J, Morillon A, Pinskaya M. History, Discovery, and Classification of lncRNAs. Adv Exp Med Biol (2017) 1008:1–46. doi: 10.1007/978-981-10-5203-3_1

PubMed Abstract | CrossRef Full Text | Google Scholar

168. Losko M, Kotlinowski J, Jura J. Long Noncoding RNAs in Metabolic Syndrome Related Disorders. Mediators Inflammation (2016) 2016:5365209. doi: 10.1155/2016/5365209

CrossRef Full Text | Google Scholar

169. Gonzalez I, Munita R, Agirre E, Dittmer TA, Gysling K, Misteli T, et al. A lncRNA Regulates Alternative Splicing via Establishment of a Splicing-Specific Chromatin Signature. Nat Struct Mol Biol (2015) 22(5):370–6. doi: 10.1038/nsmb.3005

PubMed Abstract | CrossRef Full Text | Google Scholar

170. Romero-Barrios N, Legascue MF, Benhamed M, Ariel F, Crespi M. Splicing Regulation by Long Noncoding RNAs. Nucleic Acids Res (2018) 46(5):2169–84. doi: 10.1093/nar/gky095

PubMed Abstract | CrossRef Full Text | Google Scholar

171. Chen W, Böcker W, Brosius J, Tiedge H. Expression of Neural BC200 RNA in Human Tumours. J Pathol: A J Pathol Soc Great Britain Ireland (1997) 183(3):345–51. doi: 10.1002/(SICI)1096-9896(199711)183:3<345::AID-PATH930>3.0.CO;2-8

CrossRef Full Text | Google Scholar

172. Hawkins PG, Morris KV. Transcriptional Regulation of Oct4 by a Long non-Coding RNA Antisense to Oct4-Pseudogene 5. Transcription (2010) 1(3):165–75. doi: 10.4161/trns.1.3.13332

PubMed Abstract | CrossRef Full Text | Google Scholar

173. Dempsey JL, Cui JY. Long non-Coding RNAs: A Novel Paradigm for Toxicology. Toxicolo Sci (2017) 155(1):3–21. doi: 10.1093/toxsci/kfw203

CrossRef Full Text | Google Scholar

174. Mariner PD, Walters RD, Espinoza CA, Drullinger LF, Wagner SD, Kugel JF, et al. Human Alu RNA Is a Modular Transacting Repressor of mRNA Transcription During Heat Shock. Mol Cell (2008) 29(4):499–509. doi: 10.1016/j.molcel.2007.12.013

PubMed Abstract | CrossRef Full Text | Google Scholar

175. Carrieri C, Cimatti L, Biagioli M, Beugnet A, Zucchelli S, Fedele S, et al. Long Non-Coding Antisense RNA Controls Uchl1 Translation Through an Embedded SINEB2 Repeat. Nature (2012) 491(7424):454–7. doi: 10.1038/nature11508

PubMed Abstract | CrossRef Full Text | Google Scholar

176. Jalali S, Jayaraj GG, Scaria V. Integrative Transcriptome Analysis Suggest Processing of a Subset of Long Non-Coding RNAs to Small RNAs. Biol Direct (2012) 7(1):1–13. doi: 10.1186/1745-6150-7-25

PubMed Abstract | CrossRef Full Text | Google Scholar

177. Peschansky VJ, Wahlestedt C. Non-Coding RNAs as Direct and Indirect Modulators of Epigenetic Regulation. Epigenetics (2014) 9(1):3–12. doi: 10.4161/epi.27473

PubMed Abstract | CrossRef Full Text | Google Scholar

178. Guttman M, Russell P, Ingolia NT, Weissman JS, Lander ES. Ribosome Profiling Provides Evidence That Large Noncoding RNAs Do Not Encode Proteins. Cell (2013) 154(1):240–51. doi: 10.1016/j.cell.2013.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

179. Gomes AQ, Nolasco S, Soares H. Non-Coding RNAs: Multi-Tasking Molecules in the Cell. Int J Mol Sci (2013) 14(8):16010–39. doi: 10.3390/ijms140816010

PubMed Abstract | CrossRef Full Text | Google Scholar

180. Chen J, Wang Y, Wang C, Hu J-F, Li W. LncRNA Functions as a New Emerging Epigenetic Factor in Determining the Fate of Stem Cells. Front Genet (2020) 11:277. doi: 10.3389/fgene.2020.00277

PubMed Abstract | CrossRef Full Text | Google Scholar

181. Kim DH, Marinov GK, Pepke S, Singer ZS, He P, Williams B, et al. Single-Cell Transcriptome Analysis Reveals Dynamic Changes in lncRNA Expression During Reprogramming. Cell Stem Cell (2015) 16(1):88–101. doi: 10.1016/j.stem.2014.11.005

PubMed Abstract | CrossRef Full Text | Google Scholar

182. Kanwal S, Guo X, Ward C, Volpe G, Qin B, Esteban MA, et al. Role of Long Non-Coding RNAs in Reprogramming to Induced Pluripotency. Genomics Proteomics Bioinf (2020) 18(1):16–25. doi: 10.1016/j.gpb.2019.06.003

CrossRef Full Text | Google Scholar

183. Du Z, Jia L, Wang Y, Wang C, Wen X, Chen J, et al. Combined RNA-Seq and RAT-Seq Mapping of Long Noncoding RNAs in Pluripotent Reprogramming. Sci data (2018) 5(1):1–8. doi: 10.1038/sdata.2018.255

PubMed Abstract | CrossRef Full Text | Google Scholar

184. Chen N, Zhao G, Yan X, Lv Z, Yin H, Zhang S, et al. A Novel FLI1 Exonic Circular RNA Promotes Metastasis in Breast Cancer by Coordinately Regulating TET1 and DNMT1. Genome Biol (2018) 19(1):1–14. doi: 10.1186/s13059-018-1594-y

PubMed Abstract | CrossRef Full Text | Google Scholar

185. Dey BK, Mueller AC, Dutta A. Long non-Coding RNAs as Emerging Regulators of Differentiation, Development, and Disease. Transcription (2014) 5(4):e944014. doi: 10.4161/21541272.2014.944014

PubMed Abstract | CrossRef Full Text | Google Scholar

186. Fu D, Shi Y, Liu J-B, Wu T-M, Jia C-Y, Yang H-Q, et al. Targeting Long non-Coding RNA to Therapeutically Regulate Gene Expression in Cancer. Mol Therapy-Nucleic Acids (2020) 21:712–24. doi: 10.1016/j.omtn.2020.07.005

CrossRef Full Text | Google Scholar

187. Toki N, Takahashi H, Zucchelli S, Gustincich S, Carninci P. Synthetic In Vitro Transcribed lncRNAs (SINEUPs) With Chemical Modifications Enhance Target mRNA Translation. FEBS Letters (2020) 594(24):4357–69. doi: 10.1002/1873-3468.13928

PubMed Abstract | CrossRef Full Text | Google Scholar

188. Liu Y, Ding W, Yu W, Zhang Y, Ao X, Wang J. Long non-Coding RNAs: Biogenesis, Functions, and Clinical Significance in Gastric Cancer. Mol Therapy-Oncolytics (2021) 23:458–76. doi: 10.1016/j.omto.2021.11.005

CrossRef Full Text | Google Scholar

189. Toki N, Takahashi H, Sharma H, Valentine MN, Rahman F-UM, Zucchelli S, et al. SINEUP Long Non-Coding RNA Acts via PTBP1 and HNRNPK to Promote Translational Initiation Assemblies. Nucleic Acids Res (2020) 48(20):11626–44. doi: 10.1093/nar/gkaa814

PubMed Abstract | CrossRef Full Text | Google Scholar

190. Indrieri A, Grimaldi C, Zucchelli S, Tammaro R, Gustincich S, Franco B. Synthetic Long Non-Coding RNAs [SINEUPs] Rescue Defective Gene Expression In Vivo. Sci Rep (2016) 6(1):1–8. doi: 10.1038/srep27315

PubMed Abstract | CrossRef Full Text | Google Scholar

191. Li G, Liu K, Du X. Long non-Coding RNA TUG1 Promotes Proliferation and Inhibits Apoptosis of Osteosarcoma Cells by Sponging miR-132-3p and Upregulating SOX4 Expression. Yonsei Med J (2018) 59(2):226–35. doi: 10.3349/ymj.2018.59.2.226

PubMed Abstract | CrossRef Full Text | Google Scholar

192. Yang M, Lu H, Liu J, Wu S, Kim P, Zhou X. Lncrnafunc: A Knowledgebase of lncRNA Function in Human Cancer. Nucleic Acids Res (2021). doi: 10.1093/nar/gkab1035

CrossRef Full Text | Google Scholar

193. Zhu J, Fu H, Wu Y, Zheng X. Function of lncRNAs and Approaches to lncRNA-Protein Interactions. Sci China Life Sci (2013) 56(10):876–85. doi: 10.1007/s11427-013-4553-6

PubMed Abstract | CrossRef Full Text | Google Scholar

194. Xiong H, Ni Z, He J, Jiang S, Li X, Gong W, et al. LncRNA HULC Triggers Autophagy via Stabilizing Sirt1 and Attenuates the Chemosensitivity of HCC Cells. Oncogene (2017) 36(25):3528–40. doi: 10.1038/onc.2016.521

PubMed Abstract | CrossRef Full Text | Google Scholar

195. Tao H, Liu X, Liu X, Liu W, Wu D, Wang R, et al. LncRNA MEG3 Inhibits Trophoblast Invasion and Trophoblast-Mediated VSMC Loss in Uterine Spiral Artery Remodeling. Mol Reprod Dev (2019) 86(6):686–95. doi: 10.1002/mrd.23147

PubMed Abstract | CrossRef Full Text | Google Scholar

196. Jiang N, Zhang X, Gu X, Li X, Shang L. Progress in Understanding the Role of lncRNA in Programmed Cell Death. Cell Death Discov (2021) 7(1):1–11. doi: 10.1038/s41420-021-00407-1

CrossRef Full Text | Google Scholar

197. Villanova L, Careccia S, De Maria R, Fiori ME. Micro-Economics of Apoptosis in Cancer: ncRNAs Modulation of BCL-2 Family Members. Int J Mol Sci (2018) 19(4):958. doi: 10.3390/ijms19040958

CrossRef Full Text | Google Scholar

198. van der Heijden M, Zimberlin CD, Nicholson AM, Colak S, Kemp R, Meijer SL, et al. Bcl-2 Is a Critical Mediator of Intestinal Transformation. Nat Commun (2016) 7:10916. doi: 10.1038/ncomms10916

PubMed Abstract | CrossRef Full Text | Google Scholar

199. Sun Y, Hu B, Wang Q, Ye M, Qiu Q, Zhou Y, et al. Long Non-Coding RNA HOTTIP Promotes BCL-2 Expression and Induces Chemoresistance in Small Cell Lung Cancer by Sponging miR-216a. Cell Death Dis (2018) 9(2):85. doi: 10.1038/s41419-017-0019-2

PubMed Abstract | CrossRef Full Text | Google Scholar

200. Zhang SR, Yang JK, Xie JK, Zhao LC. Long Noncoding RNA HOTTIP Contributes to the Progression of Prostate Cancer by Regulating HOXA13. Cell Mol Biol (Noisy-le-grand) (2016) 62(3):84–8.

PubMed Abstract | Google Scholar

201. Mu M, Li Y, Zhan Y, Li X, Zhang B. Knockdown of HOXA Transcript at the Distal Tip Suppresses the Growth and Invasion and Induces Apoptosis of Oral Tongue Squamous Carcinoma Cells. Onco Targets Ther (2018) 11:8033–44. doi: 10.2147/OTT.S174637

PubMed Abstract | CrossRef Full Text | Google Scholar

202. Martini M, De Santis MC, Braccini L, Gulluni F, Hirsch E. PI3K/AKT Signaling Pathway and Cancer: An Updated Review. Ann Med (2014) 46(6):372–83. doi: 10.3109/07853890.2014.912836

PubMed Abstract | CrossRef Full Text | Google Scholar

203. Rangel M, Kong J, Bhatt V, Khayati K, Guo JY. Autophagy and Tumorigenesis. FEBS J (2021). doi: 10.1111/febs.16125

CrossRef Full Text | Google Scholar

204. Liang Y, Chen X, Wu Y, Li J, Zhang S, Wang K, et al. LncRNA CASC9 Promotes Esophageal Squamous Cell Carcinoma Metastasis Through Upregulating LAMC2 Expression by Interacting With the CREB-Binding Protein. Cell Death Differentiation. (2018) 25(11):1980–95. doi: 10.1038/s41418-018-0084-9

CrossRef Full Text | Google Scholar

205. Klingenberg M, Groß M, Goyal A, Polycarpou-Schwarz M, Miersch T, Ernst AS, et al. The Long Noncoding RNA Cancer Susceptibility 9 and RNA Binding Protein Heterogeneous Nuclear Ribonucleoprotein L Form a Complex and Coregulate Genes Linked to AKT Signaling. Hepatology (2018) 68(5):1817–32. doi: 10.1002/hep.30102

PubMed Abstract | CrossRef Full Text | Google Scholar

206. Yang Y, Chen D, Liu H, Yang K. Increased Expression of lncRNA CASC9 Promotes Tumor Progression by Suppressing Autophagy-Mediated Cell Apoptosis via the AKT/mTOR Pathway in Oral Squamous Cell Carcinoma. Cell Death disease (2019) 10(2):1–16. doi: 10.1038/s41419-018-1280-8

CrossRef Full Text | Google Scholar

207. White E. The Role for Autophagy in Cancer. J Clin Invest (2015) 125(1):42–6. doi: 10.1172/JCI73941

PubMed Abstract | CrossRef Full Text | Google Scholar

208. Levine B. Autophagy and Cancer. Nature (2007) 446(7137):745–7. doi: 10.1038/446745a

PubMed Abstract | CrossRef Full Text | Google Scholar

209. Marino G, Niso-Santano M, Baehrecke EH, Kroemer G. Self-Consumption: The Interplay of Autophagy and Apoptosis. Nat Rev Mol Cell Biol (2014) 15(2):81–94. doi: 10.1038/nrm3735

PubMed Abstract | CrossRef Full Text | Google Scholar

210. Zhao Z, Han F, Yang S, Wu J, Zhan W. Oxamate-Mediated Inhibition of Lactate Dehydrogenase Induces Protective Autophagy in Gastric Cancer Cells: Involvement of the Akt-mTOR Signaling Pathway. Cancer Lett (2015) 358(1):17–26. doi: 10.1016/j.canlet.2014.11.046

PubMed Abstract | CrossRef Full Text | Google Scholar

211. Yeh PS, Wang W, Chang YA, Lin CJ, Wang JJ, Chen RM. Honokiol Induces Autophagy of Neuroblastoma Cells Through Activating the PI3K/Akt/mTOR and Endoplasmic Reticular Stress/ERK1/2 Signaling Pathways and Suppressing Cell Migration. Cancer Lett (2016) 370(1):66–77. doi: 10.1016/j.canlet.2015.08.030

PubMed Abstract | CrossRef Full Text | Google Scholar

212. Islam MA, Sooro MA, Zhang P. Autophagic Regulation of P62 Is Critical for Cancer Therapy. Int J Mol Sci (2018) 19(5):1405.

Google Scholar

213. Bjørkøy G, Lamark T, Brech A, Outzen H, Perander M, Overvatn A, et al. P62/SQSTM1 Forms Protein Aggregates Degraded by Autophagy and Has a Protective Effect on Huntingtin-Induced Cell Death. J Cell Biol (2005) 171(4):603–14.

PubMed Abstract | Google Scholar

214. Wang R, Lu X, Yu R. lncRNA MALAT1 Promotes EMT Process and Cisplatin Resistance of Oral Squamous Cell Carcinoma via PI3K/AKT/m-TOR Signal Pathway. Onco Targets Ther (2020) 13:4049–61.

PubMed Abstract | Google Scholar

215. Lei CS, Kung HJ, Shih JW. Long Non-Coding RNAs as Functional Codes for Oral Cancer: Translational Potential, Progress and Promises. Int J Mol Sci (2021) 22(9):4903.

PubMed Abstract | Google Scholar

216. Zeng B, Li Y, Jiang F, Wei C, Chen G, Zhang W, et al. LncRNA GAS5 Suppresses Proliferation, Migration, Invasion, and Epithelial-Mesenchymal Transition in Oral Squamous Cell Carcinoma by Regulating the miR-21/PTEN Axis. Exp Cell Res (2019) 374(2):365–73.

PubMed Abstract | Google Scholar

217. Yang M, Xiong X, Chen L, Yang L, Li X. Identification and Validation Long Non-Coding RNAs of Oral Squamous Cell Carcinoma by Bioinformatics Method. Oncotarget. (2017) 8(64):107469–76. doi: 10.18632/oncotarget.18178

PubMed Abstract | CrossRef Full Text | Google Scholar

218. Furuya N, Yu J, Byfield M, Pattingre S, Levine B. The Evolutionarily Conserved Domain of Beclin 1 Is Required for Vps34 Binding, Autophagy and Tumor Suppressor Function. Autophagy (2005) 1(1):46–52. doi: 10.4161/auto.1.1.1542

PubMed Abstract | CrossRef Full Text | Google Scholar

219. Degenhardt K, Mathew R, Beaudoin B, Bray K, Anderson D, Chen G, et al. Autophagy Promotes Tumor Cell Survival and Restricts Necrosis, Inflammation, and Tumorigenesis. Cancer Cell (2006) 10(1):51–64. doi: 10.1016/j.ccr.2006.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

220. Takamura A, Komatsu M, Hara T, Sakamoto A, Kishi C, Waguri S, et al. Autophagy-Deficient Mice Develop Multiple Liver Tumors. Genes Dev (2011) 25(8):795–800. doi: 10.1101/gad.2016211

PubMed Abstract | CrossRef Full Text | Google Scholar

221. Hu Z, Zhong Z, Huang S, Wen H, Chen X, Chu H, et al. Decreased Expression of Beclin−1 Is Significantly Associated With a Poor Prognosis in Oral Tongue Squamous Cell Carcinoma. Mol Med Rep (2016) 14(2):1567–73. doi: 10.3892/mmr.2016.5437

PubMed Abstract | CrossRef Full Text | Google Scholar

222. Sun MY, Zhu JY, Zhang CY, Zhang M, Song YN, Rahman K, et al. Autophagy Regulated by lncRNA HOTAIR Contributes to the Cisplatin-Induced Resistance in Endometrial Cancer Cells. Biotechnol Lett (2017) 39(10):1477–84. doi: 10.1007/s10529-017-2392-4

PubMed Abstract | CrossRef Full Text | Google Scholar

223. Yang L, Zhang X, Li H, Liu J. The Long Noncoding RNA HOTAIR Activates Autophagy by Upregulating ATG3 and ATG7 in Hepatocellular Carcinoma. Mol Biosyst (2016) 12(8):2605–12. doi: 10.1039/C6MB00114A

PubMed Abstract | CrossRef Full Text | Google Scholar

224. Luan W, Li R, Liu L, Ni X, Shi Y, Xia Y, et al. Long Non-Coding RNA HOTAIR Acts as a Competing Endogenous RNA to Promote Malignant Melanoma Progression by Sponging miR-152-3p. Oncotarget. (2017) 8(49):85401–14. doi: 10.18632/oncotarget.19910

PubMed Abstract | CrossRef Full Text | Google Scholar

225. Wang X, Li S, Wu S, Xie L, Wang P. Silence of Beclin1 in Oral Squamous Cell Carcinoma Cells Promotes Proliferation, Inhibits Apoptosis, and Enhances Chemosensitivity. Int J Clin Exp Pathol (2017) 10(8):8424–33.

PubMed Abstract | Google Scholar

226. Wang X, Liu W, Wang P, Li S. RNA Interference of Long Noncoding RNA HOTAIR Suppresses Autophagy and Promotes Apoptosis and Sensitivity to Cisplatin in Oral Squamous Cell Carcinoma. J Oral Pathol Med (2018) 47(10):930–7. doi: 10.1111/jop.12769

PubMed Abstract | CrossRef Full Text | Google Scholar

227. Boon RA, Hofmann P, Michalik KM, Lozano-Vidal N, Berghäuser D, Fischer A, et al. Long Noncoding RNA Meg3 Controls Endothelial Cell Aging and Function: Implications for Regenerative Angiogenesis. J Am Coll Cardiol (2016) 68(23):2589–91. doi: 10.1016/j.jacc.2016.09.949

PubMed Abstract | CrossRef Full Text | Google Scholar

228. Liu J, Li Q, Zhang KS, Hu B, Niu X, Zhou SM, et al. Downregulation of the Long Non-Coding RNA Meg3 Promotes Angiogenesis After Ischemic Brain Injury by Activating Notch Signaling. Mol Neurobiol (2017) 54(10):8179–90. doi: 10.1007/s12035-016-0270-z

PubMed Abstract | CrossRef Full Text | Google Scholar

229. Liu X, Hou L, Huang W, Gao Y, Lv X, Tang J. The Mechanism of Long Non-Coding RNA MEG3 for Neurons Apoptosis Caused by Hypoxia: Mediated by miR-181b-12/15-LOX Signaling Pathway. Front Cell Neurosci (2016) 10:201. doi: 10.3389/fncel.2016.00201

PubMed Abstract | CrossRef Full Text | Google Scholar

230. Sun KX, Wu DD, Chen S, Zhao Y, Zong ZH. LncRNA MEG3 Inhibit Endometrial Carcinoma Tumorigenesis and Progression Through PI3K Pathway. Apoptosis (2017) 22(12):1543–52. doi: 10.1007/s10495-017-1426-7

PubMed Abstract | CrossRef Full Text | Google Scholar

231. Xia H, Qu XL, Liu LY, Qian DH, Jing HY. LncRNA MEG3 Promotes the Sensitivity of Vincristine by Inhibiting Autophagy in Lung Cancer Chemotherapy. Eur Rev Med Pharmacol Sci (2018) 22(4):1020–7.

PubMed Abstract | Google Scholar

232. Zhang Y, Zou Y, Wang W, Zuo Q, Jiang Z, Sun M, et al. Down-Regulated Long Non-Coding RNA MEG3 and Its Effect on Promoting Apoptosis and Suppressing Migration of Trophoblast Cells. J Cell Biochem (2015) 116(4):542–50. doi: 10.1002/jcb.25004

PubMed Abstract | CrossRef Full Text | Google Scholar

233. Su N, Wang P, Li Y. Role of Wnt/β-Catenin Pathway in Inducing Autophagy and Apoptosis in Multiple Myeloma Cells. Oncol Lett (2016) 12(6):4623–9. doi: 10.3892/ol.2016.5289

PubMed Abstract | CrossRef Full Text | Google Scholar

234. Taciak B, Pruszynska I, Kiraga L, Bialasek M, Krol M. Wnt Signaling Pathway in Development and Cancer. J Physiol Pharmacol (2018) 69(2).

PubMed Abstract | Google Scholar

235. Liu Z, Wu C, Xie N, Wang P. Long non-Coding RNA MEG3 Inhibits the Proliferation and Metastasis of Oral Squamous Cell Carcinoma by Regulating the WNT/β-Catenin Signaling Pathway. Oncol Lett (2017) 14(4):4053–8. doi: 10.3892/ol.2017.6682

PubMed Abstract | CrossRef Full Text | Google Scholar

236. Tan J, Xiang L, Xu G. LncRNA MEG3 Suppresses Migration and Promotes Apoptosis by Sponging miR-548d-3p to Modulate JAK-STAT Pathway in Oral Squamous Cell Carcinoma. IUBMB Life (2019) 71(7):882–90. doi: 10.1002/iub.2012

PubMed Abstract | CrossRef Full Text | Google Scholar

237. Zuo YB, Zhang YF, Zhang R, Tian JW, Lv XB, Li R, et al. Ferroptosis in Cancer Progression: Role of Noncoding RNAs. Int J Biol Sci (2022) 18(5):1829–43. doi: 10.7150/ijbs.66917

PubMed Abstract | CrossRef Full Text | Google Scholar

238. Li T, Wang Y, Xiang X, Chen C. Development and Validation of a Ferroptosis-Related lncRNAs Prognosis Model in Oral Squamous Cell Carcinoma. Front Genet (2022) 13. doi: 10.3389/fgene.2022.847940

CrossRef Full Text | Google Scholar

239. Borran S, Ahmadi G, Rezaei S, Anari MM, Modabberi M, Azarash Z, et al. Circular RNAs: New Players in Thyroid Cancer. Pathol Res Pract (2020) 216(10):153217. doi: 10.1016/j.prp.2020.153217

PubMed Abstract | CrossRef Full Text | Google Scholar

240. Nahand JS, Jamshidi S, Hamblin MR, Mahjoubin-Tehran M, Vosough M, Jamali M, et al. Circular RNAs: New Epigenetic Signatures in Viral Infections. Front Microbiol (2020) 11:1853. doi: 10.3389/fmicb.2020.01853

PubMed Abstract | CrossRef Full Text | Google Scholar

241. Abbaszadeh-Goudarzi K, Radbakhsh S, Pourhanifeh MH, Khanbabaei H, Davoodvandi A, Fathizadeh H, et al. Circular RNA and Diabetes: Epigenetic Regulator With Diagnostic Role. Curr Mol Med (2020) 20(7):516–26. doi: 10.2174/1566524020666200129142106

PubMed Abstract | CrossRef Full Text | Google Scholar

242. Naeli P, Pourhanifeh MH, Karimzadeh MR, Shabaninejad Z, Movahedpour A, Tarrahimofrad H, et al. Circular RNAs and Gastrointestinal Cancers: Epigenetic Regulators With a Prognostic and Therapeutic Role. Crit Rev Oncol Hematol (2020) 145:102854. doi: 10.1016/j.critrevonc.2019.102854

PubMed Abstract | CrossRef Full Text | Google Scholar

243. Kristensen LS, Andersen MS, Stagsted LV, Ebbesen KK, Hansen TB, Kjems J. The Biogenesis, Biology and Characterization of Circular RNAs. Nat Rev Genet (2019) 20(11):675–91. doi: 10.1038/s41576-019-0158-7

PubMed Abstract | CrossRef Full Text | Google Scholar

244. Hallajzadeh J, Amirani E, Mirzaei H, Shafabakhsh R, Mirhashemi SM, Sharifi M, et al. Circular RNAs: New Genetic Tools in Melanoma. Biomarkers Med (2020) 14(7):563–71. doi: 10.2217/bmm-2019-0567

CrossRef Full Text | Google Scholar

245. Zhang Q, Wang W, Zhou Q, Chen C, Yuan W, Liu J, et al. Roles of circRNAs in the Tumour Microenvironment. Mol Cancer (2020) 19(1):1–16. doi: 10.1186/s12943-019-1125-9

PubMed Abstract | CrossRef Full Text | Google Scholar

246. Hou LD, Zhang J. Circular RNAs: An Emerging Type of RNA in Cancer. Int J Immunopathol Pharmacol (2017) 30(1):1–6. doi: 10.1177/0394632016686985

PubMed Abstract | CrossRef Full Text | Google Scholar

247. Jeck WR, Sorrentino JA, Wang K, Slevin MK, Burd CE, Liu J, et al. Circular RNAs Are Abundant, Conserved, and Associated With ALU Repeats. RNA (2013) 19(2):141–57. doi: 10.1261/rna.035667.112

PubMed Abstract | CrossRef Full Text | Google Scholar

248. Zhang X-O, Wang H-B, Zhang Y, Lu X, Chen L-L, Yang L. Complementary Sequence-Mediated Exon Circularization. Cell (2014) 159(1):134–47. doi: 10.1016/j.cell.2014.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

249. Conn SJ, Pillman KA, Toubia J, Conn VM, Salmanidis M, Phillips CA, et al. The RNA Binding Protein Quaking Regulates Formation of circRNAs. Cell (2015) 160(6):1125–34. doi: 10.1016/j.cell.2015.02.014

PubMed Abstract | CrossRef Full Text | Google Scholar

250. Ivanov A, Memczak S, Wyler E, Torti F, Porath HT, Orejuela MR, et al. Analysis of Intron Sequences Reveals Hallmarks of Circular RNA Biogenesis in Animals. Cell Rep (2015) 10(2):170–7. doi: 10.1016/j.celrep.2014.12.019

PubMed Abstract | CrossRef Full Text | Google Scholar

251. Lasda E, Parker R. Circular RNAs: Diversity of Form and Function. Rna. (2014) 20(12):1829–42. doi: 10.1261/rna.047126.114

PubMed Abstract | CrossRef Full Text | Google Scholar

252. Li X, Yang L, Chen L-L. The Biogenesis, Functions, and Challenges of Circular RNAs. Mol Cell (2018) 71(3):428–42. doi: 10.1016/j.molcel.2018.06.034

PubMed Abstract | CrossRef Full Text | Google Scholar

253. Fan H-Y, Jiang J, Tang Y-J, Liang X-H, Tang Y-L. CircRNAs: A New Chapter in Oral Squamous Cell Carcinoma Biology. OncoTar Ther (2020) 13:9071. doi: 10.2147/OTT.S263655

CrossRef Full Text | Google Scholar

254. Holdt LM, Kohlmaier A, Teupser D. Circular RNAs as Therapeutic Agents and Targets. Front Physiol (2018) 9:1262. doi: 10.3389/fphys.2018.01262

PubMed Abstract | CrossRef Full Text | Google Scholar

255. Shabaninejad Z, Vafadar A, Movahedpour A, Ghasemi Y, Namdar A, Fathizadeh H, et al. Circular RNAs in Cancer: New Insights Into Functions and Implications in Ovarian Cancer. J Ovarian Res (2019) 12(1):1–12. doi: 10.1186/s13048-019-0558-5

PubMed Abstract | CrossRef Full Text | Google Scholar

256. Hanahan D, Weinberg RA. The Hallmarks of Cancer. Cell (2000) 100(1):57–70. doi: 10.1016/S0092-8674(00)81683-9

PubMed Abstract | CrossRef Full Text | Google Scholar

257. Su M, Xiao Y, Ma J, Tang Y, Tian B, Zhang Y, et al. Circular RNAs in Cancer: Emerging Functions in Hallmarks, Stemness, Resistance and Roles as Potential Biomarkers. Mol cancer (2019) 18(1):1–17. doi: 10.1186/s12943-019-1002-6

PubMed Abstract | CrossRef Full Text | Google Scholar

258. Li J, Sun D, Pu W, Wang J, Peng Y. Circular RNAs in Cancer: Biogenesis, Function, and Clinical Significance. Trends Cancer (2020) 6(4):319–36. doi: 10.1016/j.trecan.2020.01.012

PubMed Abstract | CrossRef Full Text | Google Scholar

259. Carlos de Vicente J, Junquera Gutierrez LM, Zapatero AH, Fresno Forcelledo MF, Hernández-Vallejo G, Lopez Arranz JS. Prognostic Significance of P53 Expression in Oral Squamous Cell Carcinoma Without Neck Node Metastases. Head Neck: J Sci Specialties Head Neck (2004) 26(1):22–30. doi: 10.1002/hed.10339

CrossRef Full Text | Google Scholar

260. Youle RJ, Strasser A. The BCL-2 Protein Family: Opposing Activities That Mediate Cell Death. Nat Rev Mol Cell Biol (2008) 9(1):47–59. doi: 10.1038/nrm2308

PubMed Abstract | CrossRef Full Text | Google Scholar

261. Liu X, He Y, Li F, Huang Q, Kato TA, Hall RP, et al. Caspase-3 Promotes Genetic Instability and Carcinogenesis. Mol Cell (2015) 58(2):284–96. doi: 10.1016/j.molcel.2015.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

262. Wang Y, Cao Y, Zhu Q, Gu X, Zhu YZ. The Discovery of a Novel Inhibitor of Apoptotic Protease Activating Factor-1 (Apaf-1) for Ischemic Heart: Synthesis, Activity and Target Identification. Sci Rep (2016) 6(1):1–10. doi: 10.1038/srep29820

PubMed Abstract | CrossRef Full Text | Google Scholar

263. Su W, Sun S, Wang F, Shen Y, Yang H. Circular RNA Hsa_Circ_0055538 Regulates the Malignant Biological Behavior of Oral Squamous Cell Carcinoma Through the P53/Bcl-2/Caspase Signaling Pathway. J Trans Med (2019) 17(1):1–12. doi: 10.1186/s12967-019-1830-6

CrossRef Full Text | Google Scholar

264. Li Y, Y-z Ge, Xu L, Jia R. Circular RNA ITCH: A Novel Tumor Suppressor in Multiple Cancers. Life Sci (2020) 254:117176. doi: 10.1016/j.lfs.2019.117176

PubMed Abstract | CrossRef Full Text | Google Scholar

265. Hao C, Wangzhou K, Liang Z, Liu C, Wang L, Gong L, et al. Circular RNA ITCH Suppresses Cell Proliferation But Induces Apoptosis in Oral Squamous Cell Carcinoma by Regulating miR-421/PDCD4 Axis. Cancer Manage Res (2020) 12:5651. doi: 10.2147/CMAR.S258887

CrossRef Full Text | Google Scholar

266. Frazzi R. BIRC3 and BIRC5: Multi-Faceted Inhibitors in Cancer. Cell Biosci (2021) 11(1):1–14. doi: 10.1186/s13578-020-00521-0

PubMed Abstract | CrossRef Full Text | Google Scholar

267. Wang L, Wei Y, Yan Y, Wang H, Yang J, Zheng Z, et al. CircDOCK1 Suppresses Cell Apoptosis via Inhibition of Mir−196a−5p by Targeting BIRC3 in OSCC. Oncol Rep (2018) 39(3):951–66.

PubMed Abstract | Google Scholar

268. Ye Y, Yang S, Han Y, Sun J, Xv L, Wu L, et al. Linc00472 Suppresses Proliferation and Promotes Apoptosis Through Elevating PDCD4 Expression by Sponging miR-196a in Colorectal Cancer. Aging (Albany NY) (2018) 10(6):1523. doi: 10.18632/aging.101488

PubMed Abstract | CrossRef Full Text | Google Scholar

269. Luthra R, Singh R, Luthra M, Li Y, Hannah C, Romans A, et al. MicroRNA-196a Targets Annexin A1: A microRNA-Mediated Mechanism of Annexin A1 Downregulation in Cancers. Oncogene (2008) 27(52):6667–78. doi: 10.1038/onc.2008.256

PubMed Abstract | CrossRef Full Text | Google Scholar

270. Sun Z, Luo Q, Ye D, Chen W, Chen F. Role of Toll-Like Receptor 4 on the Immune Escape of Human Oral Squamous Cell Carcinoma and Resistance of Cisplatin-Induced Apoptosis. Mol Cancer (2012) 11(1):1–12. doi: 10.1186/1476-4598-11-33

PubMed Abstract | CrossRef Full Text | Google Scholar

271. Ai Y, Song J, Wei H, Tang Z, Li X, Lv X, et al. Circ_0001461 Promotes Oral Squamous Cell Carcinoma Progression Through miR-145/TLR4/NF-κb Axis. Biochem Biophys Res Commun (2021) 566:108–14. doi: 10.1016/j.bbrc.2021.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

272. Naruse T, Yanamoto S, Matsushita Y, Sakamoto Y, Morishita K, Ohba S, et al. Cetuximab for the Treatment of Locally Advanced and Recurrent/Metastatic Oral Cancer: An Investigation of Distant Metastasis. Mol Clin Oncol (2016) 5(2):246–52. doi: 10.3892/mco.2016.928

PubMed Abstract | CrossRef Full Text | Google Scholar

273. Dai W, Li Y, Zhou Q, Xu Z, Sun C, Tan X, et al. Cetuximab Inhibits Oral Squamous Cell Carcinoma Invasion and Metastasis via Degradation of Epidermal Growth Factor Receptor. J Oral Pathol Med (2014) 43(4):250–7. doi: 10.1111/jop.12116

PubMed Abstract | CrossRef Full Text | Google Scholar

274. Razis E, Pentheroudakis G, Rigakos G, Bobos M, Kouvatseas G, Tzaida O, et al. EGFR Gene Gain and PTEN Protein Expression are Favorable Prognostic Factors in Patients With KRAS Wild-Type Metastatic Colorectal Cancer Treated With Cetuximab. J Cancer Res Clin Oncol (2014) 140(5):737–48. doi: 10.1007/s00432-014-1626-2

PubMed Abstract | CrossRef Full Text | Google Scholar

275. Xu Y-J, Zhao J-M, Ni X-F, Wang W, Hu W-W, Wu C-P. LncRNA HCG18 Suppresses CD8+ T Cells to Confer Resistance to Cetuximab in Colorectal Cancer via miR-20b-5p/PD-L1 Axis. Epigenomics (2021) 13(16):1283–99. doi: 10.2217/epi-2021-0130

CrossRef Full Text | Google Scholar

276. Suto T, Yokobori T, Yajima R, Morita H, Fujii T, Yamaguchi S, et al. MicroRNA-7 Expression in Colorectal Cancer Is Associated With Poor Prognosis and Regulates Cetuximab Sensitivity via EGFR Regulation. Carcinogenesis. (2015) 36(3):338–45. doi: 10.1093/carcin/bgu242

PubMed Abstract | CrossRef Full Text | Google Scholar

277. Zhang X, Wen L, Chen S, Zhang J, Ma Y, Hu J, et al. The Novel Long Noncoding RNA CRART16 Confers Cetuximab Resistance in Colorectal Cancer Cells by Enhancing ERBB3 Expression via miR-371a-5p. Cancer Cell Int (2020) 20(1):1–16. doi: 10.1186/s12935-020-1155-9

PubMed Abstract | CrossRef Full Text | Google Scholar

278. Su W, Wang Y, Wang F, Sun S, Li M, Shen Y, et al. Hsa_circ_0005379 Regulates Malignant Behavior of Oral Squamous Cell Carcinoma Through the EGFR Pathway. BMC Cancer (2019) 19(1):1–13. doi: 10.1186/s12885-019-5593-5

PubMed Abstract | CrossRef Full Text | Google Scholar

279. Gao F, Han J, Wang Y, Jia L, Luo W, Zeng Y. Circ_0109291 Promotes the Cisplatin Resistance of Oral Squamous Cell Carcinoma by Sponging miR-188-3p to Increase ABCB1 Expression. Cancer Biother Radiopharm (2020).

Google Scholar

280. Tan X, Zhou C, Liang Y, Lai YF, Liang Y. Circ_0001971 Regulates Oral Squamous Cell Carcinoma Progression and Chemosensitivity by Targeting miR-194/miR-204 In Vitro and In Vivo. Eur Rev Med Pharmacol Sci (2020) 24(5):2470–81.

PubMed Abstract | Google Scholar

281. Pourhanifeh MH, Mahjoubin-Tehran M, Karimzadeh MR, Mirzaei HR, Razavi ZS, Sahebkar A, et al. Autophagy in Cancers Including Brain Tumors: Role of MicroRNAs. Cell Commun Signaling (2020) 18:1–22. doi: 10.1186/s12964-020-00587-w

CrossRef Full Text | Google Scholar

282. Chang C-H, Bijian K, Wernic D, Su J, da Silva SD, Yu H, et al. A Novel Orally Available Seleno-Purine Molecule Suppresses Triple-Negative Breast Cancer Cell Proliferation and Progression to Metastasis by Inducing Cytostatic Autophagy. Autophagy (2019) 15(8):1376–90. doi: 10.1080/15548627.2019.1582951

PubMed Abstract | CrossRef Full Text | Google Scholar

283. Liu P-F, Chang H-W, Cheng J-S, Lee H-P, Yen C-Y, Tsai W-L, et al. Map1lc3b and Sqstm1 Modulated Autophagy for Tumorigenesis and Prognosis in Certain Subsites of Oral Squamous Cell Carcinoma. J Clin Med (2018) 7(12):478. doi: 10.3390/jcm7120478

CrossRef Full Text | Google Scholar

284. Gao L, Dou Z-C, Ren W-H, Li S-M, Liang X, Zhi K-Q. CircCDR1as Upregulates Autophagy Under Hypoxia to Promote Tumor Cell Survival via AKT/ERK ½/mTOR Signaling Pathways in Oral Squamous Cell Carcinomas. Cell Death Disease (2019) 10(10):1–16. doi: 10.1038/s41419-019-1971-9

CrossRef Full Text | Google Scholar

285. Cui L, Huang C, Zhou D. Overexpression of Circcdr1as Drives Oral Squamous Cell Carcinoma Progression. Oral Dis (2021). doi: 10.1111/odi.14085

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: oral cancer, non-coding RNAs, microRNAs, long non-coding RNAs, circular RNAs

Citation: Erfanparast L, Taghizadieh M and Shekarchi AA (2022) Non-Coding RNAs and Oral Cancer: Small Molecules With Big Functions. Front. Oncol. 12:914593. doi: 10.3389/fonc.2022.914593

Received: 07 April 2022; Accepted: 16 June 2022;
Published: 11 July 2022.

Edited by:

Horacio Cabral, The University of Tokyo, Japan

Reviewed by:

Federico Perche, UPR4301 Centre de biophysique moléculaire (CBM), France
Shihori Tanabe, National Institute of Health Sciences (NIHS), Japan

Copyright © 2022 Erfanparast, Taghizadieh and Shekarchi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Mohammad Taghizadieh, TW9oYW1tYWRUYWdoaXphZGllaEBnbWFpbC5jb20=

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