Jinglong Guo
Siyue Wang
Qi Gao- 1Department of Cardiovascular Disease, the First Hospital of Jilin University, Changchun, China
- 2Baylor College of Medicine, One Baylor Plaza, Houston, TX, United States
Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest malignancies. It is characterized by a complex and immunosuppressive tumor microenvironment (TME), which is primarily composed of tumor cells, stromal cells, immune cells, and acellular components. The cross-interactions and -regulations among various cell types in the TME have been recognized to profoundly shape the immunosuppression features that meaningfully affect PDAC biology and treatment outcomes. In this review, we first summarize five cellular composition modules by integrating the cellular (sub)types, phenotypes, and functions in PDAC TME. Then we discuss an integrated overview of the cross-module regulations as a determinant of the immunosuppressive TME in PDAC. We also briefly highlight TME-targeted strategies that potentially improve PDAC therapy.
1 Introduction
Pancreatic cancer is the third leading cause of cancer-related death in Western countries (1). Concerningly, it has been estimated there would be 64,050 people diagnosed with pancreatic cancer and 50,550 people would die from it in 2023 in the United States (1). This disease is mostly diagnosed at advanced stages, making current therapeutic regimens rather ineffective (2, 3). Pancreatic cancer is rapidly lethal, with an overall 5-year survival rate of only 11% (2, 3). Surgical resection and adjuvant chemoradiotherapy are viable options for only 10-20% of newly diagnosed patients, resulting in a 5-year survival rate of 15-25% among this subgroup (2, 3). Currently, most patients with advanced pancreatic cancer are mainly treated with chemotherapy regimens such as FOLFIRINOX (i.e., combination of drugs leucovorin calcium (folinic acid), fluorouracil, irinotecan hydrochloride, and oxaliplatin) and gemcitabine/nab-paclitaxel, however, their overall efficacy remains significantly limited, with the median overall survival < 1 year (2, 3). The factors causing the lethality of pancreatic cancer are multifaceted, including multiple germline mutations, poor diagnosis, resistance to conventional therapies, and highly immunosuppressive tumor microenvironment (TME) (2–5).
Pancreatic ductal adenocarcinoma (PDAC) is the most common type of pancreatic malignancy (greater than 90%) (2). It features a complex TME that is composed of diverse acellular and cellular components, mostly including dense extracellular matrix (ECM), tumor cells, stromal cells, and immune cells (4, 5). Interactions between these various cellular elements occur through direct cell-cell contact and indirect communication mediated by secreted molecules, culminating in the establishment of an immunosuppressive milieu (4, 5). The immunosuppression feature has been recognized as a general hallmark of PDAC TME, characterized by heightened infiltration of tumor-promoting myeloid cells including tumor-associated macrophages (TAMs), tumor-associated neutrophils (TANs), myeloid-derived suppressor cells (MDSCs), and mast cells, along with impaired number and function of anti-tumor immune cells such as CD8 T cells, Dendritic cells (DCs), and natural killer cells (NKs) (4, 5). Concomitantly, this immunosuppressive milieu substantially influences the development, prognosis, and treatment outcomes of PDAC (4, 5).
Immunotherapies, such as immune checkpoint inhibitors (ICI) that disrupt the inhibitory pathways of T cells and thereby unleash their power against cancer, have revolutionized treatment paradigms for a range of human cancers over the past decade (2, 3, 6). However, PDAC has been reported to extremely resist monotherapy with ICIs (2, 3, 6), which likely attributes to the highly immunosuppressive nature of the PDAC TME (4, 5, 7). In this regard, we argue that an integrated understanding of the immunosuppressive TME will open new targeted opportunities to improve PDAC therapy more effectively. In this review, we integrate cellular sub(types), phenotypes, and functions of the diverse cellular components in PDAC TME to summarize five cellular composition modules. Then we discuss a comprehensive overview of the cross-module interactions and regulations as a potent determinant of the immunosuppressive TME in PDAC. Lastly, we briefly highlight novel TME-targeted approaches that potentiate the improvement of PDAC therapy.
2 Overview of five cellular composition modules in PDAC TME
PDAC exhibits high genetic heterogeneity and is characterized by an overarching TME, where diverse cellular compositions and acellular mediators contribute to a remarkable desmoplastic reaction (4, 5). Recent evidence has established the notion that the TME of PDAC is dominated by immunosuppression features, which significantly influence PDAC phenotypes and treatment outcomes including both conventional chemotherapies and revolutionary immunotherapies (4, 5). A comprehensive understating of the diversity and interactions within PDAC TME that unravels the mechanistic determinant of its immunosuppression feature will shed light on the development of new therapeutic interventions (4, 5). To this end, we integrate the cellular (sub)types, phenotypes, and functions of the diverse cellular components within PDAC TME and summarize five cellular composition modules (Figure 1). First, PDAC-intrinsic aspects are concluded as (I) the Tumor cell module since PDAC genetic mutations and related signal pathways have been recognized as a critical factor driving the formation of the immunosuppressive TME (8–11). (II) The Immunosuppression module is mostly composed of TAMs, TANs, MDSCs, Treg cells, and mast cells, given that they constitute an abundant component in PDAC TME and play notorious immunoregulatory and immunosuppressive roles (12–14). Particularly, its immunosuppressive capacity is significantly overwhelming compared with the anti-tumor immunity including CD8 T cells, DCs, and NKs, which are impaired in number and function in PDAC TME and therefore drive us to define (III) the Anti-tumor immunity impaired module (15–18). Besides, immune cells including CD4 helper T cell subsets (Th1, Th2, and Th17) and B cells have been shown to display features of a double-edged sword in PDAC TME and play either tumor-suppressing or tumor-supporting roles in context-dependent manners. Thus, emerging roles for them in PDAC TME and cancer immunity are discussed accordingly in the IV Module (19–23). Lastly, we describe the heterogeneity and functions of cancer-associated fibroblasts (CAFs) in the context of immunosuppressive TME of PDAC in (V) the Stromal module (24). By the summary and explicit discussion (in the following paragraphs) of above five cellular composition modules in PDAC TME, we argue that there are cross-interactions and -regulations among cellular modules that represent a resultant force essentially dictating the immunosuppression features, PDAC oncological hallmarks, and treatment efficacy. It is worth noting that each cell population in PDAC TME may exhibit a high degree of plasticity, and their behavior may not strictly align with the originally defined modules, particularly in the context of therapeutic interventions. Therefore, understanding and accounting for this plasticity is vital for developing effective PDAC treatment strategies.
Figure 1 Summary of modular cell compositions and molecule mediators in PDAC TME. Pancreatic ductal adenocarcinoma (PDAC)-intrinsic features such as genetic mutations and related signal pathways are concluded as Cellular Module I, as they have been reported to profoundly shape the formation of the immunosuppressive tumor microenvironment (TME). Immunoregulatory and immunosuppressive Module II is primarily composed of tumor-associated macrophages (TAMs), tumor-associated neutrophils (TANs), myeloid-derived suppressor cells (MDSCs), mast cells, and regulatory T cells (Tregs), which play significant roles in fostering PDAC progression and in suppressing anti-tumor immunity. In PDAC TME, anti-tumor immune cells including CD8 T cells, Dendritic cells (DCs), and natural killer cells (NKs) are profoundly impaired in terms of both number and function, which can be dramatically regulated by the cells from other cellular modules, especially Module II. Besides, CD4 helper T cell subsets (Th1, Th2, and Th17) and B cells in PDAC TME have been shown to play either tumor-suppressing or tumor-supporting roles in context-dependent manners, of which emerging roles are discussed in Module IV. Lastly, the heterogeneity and functions of cancer-associated fibroblasts (CAFs) in the context of immunosuppressive TME of PDAC is summarized as Stromal module V, which includes myofibroblast-like CAFs (myoCAFs), inflammatory CAFs (iCAFs), and antigen-presenting CAFs (apCAFs). In addition, the primary molecular mediators used by the cells in terms of their functions discussed in the review are shown accordingly. Remarkable cross-interactions and -regulations among cellular modules occur through the molecular mediators, culminating in the formation of an immunosuppressive TME that essentially influences PDAC oncological hallmarks and treatment efficacy. (The figure was created in Biorender with the publication license).
3 PDAC-intrinsic aspects: the primary driver of immunosuppressive TME formation
An expanding body of evidence from preclinical mouse model studies and clinical observations underscores the crucial role of genetic mutations in oncogenes and/or tumor-suppressor genes in shaping important PDAC features, including tumor cell differentiation and heterogeneity, histopathological subtypes, and clinical outcomes (8–11, 25, 26). Besides, defined oncogenic mutations are also associated with changes in the composition of immune cells and immunotherapy efficacy in PDAC (8–11, 25, 26). A comprehensive understanding of how genetic oncogenes and related signaling pathways affect PDAC phenotypes and immune cell composition and function will provide valuable insights for the development of precise targeted therapies and immunotherapies aimed at combating this aggressive malignancy.
3.1 Genetic mutations drive PDAC initiation and progression
PDAC progresses from noninvasive precursor lesions, including pancreatic intraepithelial neoplasia (PanIN), intraductal papillary mucinous neoplasm (IPMN), intraductal tubulopapillary neoplasm (ITPN), and mucinous cystic neoplasm (MCN) (26). Among them, PanINs are the most well-characterized preneoplasia lesions so far (26). PanINs originate within intralobular ducts and can be further classified into four grades, PanIN 1A, PanIN 1B, PanIN 2, and PanIN 3 (26). Of note, all preneoplastic lesions are likely to reflect the PDAC progression. Genetic mutations are the primary driver of PDAC initiation and progression (11, 25). It has been reported that a PDAC patient usually harbors 32 genetic mutations on average (11, 25). Among the mutations, activating mutations in KRAS are present in over 90% of tumors (11, 25). The mutations of cell cycle checkpoint genes, like CDKN2A, TP53, and SMAD4 account for 50-80% of cases (11, 25). In addition to these common mutations, there are less frequent mutated genes (-10% of tumors), including ARID1A, MLL3, and TGFBR2, which can contribute to a more aggressive phenotype of PDAC (11, 25). Despite enduring research endeavors, targeted therapies have not yet demonstrated significant benefits for PDAC patients (27).
3.2 Genetic mutations in PDAC cells shape immunosuppressive TME formation
Emerging evidence has shown that oncogenic mutations in cancer cells primarily dictate the immune contexture in the TME (9). Deciphering the underlying relationship between cancer cell-intrinsic genetic events and the immune cell contexture in the TME may enable the improvement of both chemotherapies and immunotherapies for cancer patients. We highlight a few examples of the studies to discuss how indicated oncogenic mutations in cancer cells modulate the immune cell composition and function in the TME of PDAC.
Oncogenic K-RAS represents one of the most abundant and common mutations during PDAC initiation and progression (11, 25). K-RAS mutations are involved in several signaling pathways such as RAF/MEK/ERK and PI3K/AKT/mTOR (28, 29). They not only determine PDAC phenotypes but also significantly regulate the immunosuppressive TME (28, 29). For example, studies from Pylayeva-Gupta et al. and Bayne et al. independently reported that oncogenic K-RASG12D in mouse pancreatic ductal epithelial cells drove elevated GM-CSF secretion, thereby recruiting Gr1+CD11b+ MDSCs into PDAC TME (30, 31). Further studies showed that neutralizing GM-CSF genetically or pharmacologically in mice was sufficient to reduce these cells, along with elevated tumoral infiltration of CD8 T cells and slowed PDAC growth (30, 31). It thus suggests GM-CSF and/or MDSCs to be potential targets for PDAC therapy. Additionally, K-RAS mutations are also involved in the suppression of innate and adaptive anti-tumor immunity through modulating PDAC expressions of immune checkpoints such as PD-L1 and CD47 (32, 33), as well as through autophagy-mediated MHC-I downregulation in PDAC (34, 35).
As one of the molecule events downstream of RAS signaling pathways, MYC activation and overexpression are commonly found in PDAC (36, 37). Beyond regulating PDAC phenotypes, MYC has also been linked to the immunosuppressive TME (38, 39). Using mouse models of PDAC that carry K-RASG12D and inducible MYC-ERT2, Sodir et al. showed that acute activation of MYC triggered rapid changes in stromal and immune cells (38). This included a marked influx of F4/80+CD206+ TAMs and Ly-6B.2+ neutrophils, significant loss of B220+ B lymphocytes and CD3+ T cells, and induction of α-SMA in proximal stellate and fibroblastic cells (38). As a result, it established a TME reminiscent of human PDAC (38). Interestingly, subsequent MYC deactivation or inhibition immediately reversed the advanced PDAC phenotypes back to PanIN, suggesting the requirement of sufficient levels of MYC for instructing the PDAC phenotypes and TME features (38). In this regard, elevated levels of MYC in tumor cells have been shown to promote PDAC metastasis through CXCL13- and macrophage migration inhibitory factor (MIF)-mediated recruitment of TAMs in a recent study (39). Additionally, concomitant MYC and K-RASG12D expression caused suppression of Type I IFNs, thereby resulting in decreased NK and B cell infiltration and advanced PDAC phenotypes (40). Together, these studies suggest an important role for MYC in dictating the immunosuppressive TME of PDAC and provide compelling insights for therapeutically targeting MYC.
The tumor suppressor TP53 mutations occur in 50-70% of human PDAC, which have been shown to affect immune cell composition in PDAC TME (8, 41). By analyzing human PDAC patient data from The Cancer Genome Atlas (TCGA), Maddalena et al. reported the significant association of TP53 missense mutations with reduced frequency of CD8 T cells in human PDAC (41). In addition, using mouse models of PDAC carrying p53R172H mutation, Siolas et al. reported an elevated secretion of CXCL2 and CXCL5, thereby leading to the accumulation of CD11b+Ly6G+ neutrophils in TME (42). On the other hand, p53 loss in mouse PDAC cells caused decrease of CD4 and CD8 T cells whereas increase in immunosuppressive CD11b+ myeloid cells and Treg cells in PDAC TME (42, 43). Thus, these data demonstrate a contribution of TP53 mutations to the immunosuppressive TME of PDAC.
4 Immunoregulatory and immunosuppressive cells: the main executor of immunosuppression in PDAC TME
4.1 Tumor-associated macrophages
Tumor-associated macrophages (TAMs) are abundant in the TME of PDAC. These cells appear to play important but potentially various roles in fostering tumorigenesis, shaping the TME, and suppressing anti-tumor immunity (44, 45). TAMs promote PDAC initiation and progression by secreting a variety of proinflammatory cytokines including TNFα, RANTES (CCL5), and IL-6 (46, 47). For instance, it has been reported that TAMs-secreted TNFα and RANTES activated NF-κB in acinar cells to drive their proliferation and survival. In turn, acinar cells expressed intercellular adhesion molecule-1 (ICAM-1) to mediate their cellular adhesion with TAMs. Thus, TAMs and acinar cells formed a paracrine loop, sustaining local inflammation and inducing acinar-to-ductal metaplasia (ADM) transformation in the early stage of carcinogenesis (46, 47). IL-6 can contribute to the development of the early premalignant pancreatic lesions ADM and PanIN through JAK-Stat3 or Stat3/Socs3 pathways (48, 49). Moreover, TAMs can regulate tumoral neoangiogenesis, epithelial-mesenchymal transition (EMT), and PDAC metastasis (44, 45). In response to TME hypoxia, TAMs upregulate the expression of HIF-1α, a master transcriptional factor that regulates cellular and tissue adaptive responses to hypoxia (44, 50). HIF-1α further regulates the expression of numerous angiogenesis-related genes such as VEGF, PDGF, βFGF, IL-1β, IL-8, TNF-α, thymidine phosphorylase, MMPs, CXCL1, and CXCL8 (44, 50). For example, by depleting TAMs pharmacologically or genetically in mouse models of PDAC, Griesmann H demonstrated a significant reduction in liver metastasis of tumor cells and impairment of neoangiogenesis. In addition, the study showed the presence of VEGF-expressing TAMs in pre-metastatic niches and their depletion caused the decrease in circulating VEGF levels. Based on these data, the authors claimed that VEGF-expressing TAMs promoted tumor cell extravasation and vascular permeability (51). Of note, the studies have not provided a clear answer regarding whether the observed effects were directly mediated by VEGF or influenced by other factors. Furthermore, functioning as immunosuppressive cells, TAMs produce a variety of immunoregulatory cytokines such as TGFβ, IL-10, and prostaglandin E2 (PGE2) and express inhibitory molecules PD-L1 and PD-L2, which promote Treg cell infiltration and inhibit anti-tumor CD8 T cell activity (44, 45). Besides, TAMs also suppress NK cell function by upregulating the expression of HLA-G, an inhibitory molecule for NK cells (44, 52). In summary, TAMs promote PDAC initiation and progression, regulate TME immunosuppression, and inhibit anti-tumor immunity. Nonetheless, TAMs are heterogenous and high of plasticity, therefore possessing significant potential to mediate anti-tumor responses when purposely modulated.
Historically, TAMs have been recognized to exclusively originate from the differentiation of recruited monocytes (MoMΦ) (44, 45). However, recent studies demonstrated that they also derived from the expansion of pancreatic tissue-resident macrophages (TRM) in PDAC, which were phenotypically and functionally distinct from MoMΦ (53). In mouse models, CCR2 genetic knockout mediated-MoMΦ selective depletion didn’t affect PDAC growth, indicating a dispensable role for them in tumor progression (53). Interestingly, PDAC growth was remarkably reduced in mouse models with specific depletion of pancreatic TRMs (53). These data suggested that TRM expansion-derived TAMs were more robust drivers of PDAC progression than MoMΦ (53). It is worth mentioning that macrophage heterogeneity has long been defined as M1 and M2 macrophages based on in vitro polarization studies (44, 45). Briefly, M1 macrophages are classically induced by bacterial products (lipopolysaccharide) and/or pro-inflammatory cytokines (IFNγ and TNFα), produce proinflammatory cytokines (such as IL-12, CXCL10), and mediate protective immune responses. By contrast, M2 macrophages are alternatively activated by immunoregulatory cytokines (such as IL-4, IL-10, or IL-13), producing factors (such as VEGF) associated with wound healing and tissue repair (44, 45). Of Note, more and more evidence has argued that TAMs rarely express bona-fide M1 or M2 phenotypes, implying that the diversity of these cells cannot simply be addressed with this binary categorization.
Recently, one of the striking research advancements in the field has been the characterization of the TAMs that are positive for triggering receptor expressed on myeloid cells 2 (TREM2) (54–56). TREM2 is overexpressed on TAMs in 75% of human tumors and its expression highly correlates with poor tumor prognosis in patients (54). Studies conducted on mice reveal that TREM2+ macrophages dampen the anti-tumor activities of CD8+ T cells and NK cells, signifying bona-fide immunosuppressive functions for these cells (54–56). Moreover, TREM2 modulation by genetic ablation or monoclonal antibodies can remodel the myeloid cell immunosuppression within the TME, restrict tumor growth, and further improve immunotherapies such as anti-PD-1 therapy and NK cell-based therapy in mouse models with different tumor types (54–56). Notably, fundamental questions regarding how TREM2 expression is induced in TAMs and how TREM2 regulates the immunosuppressive phenotypes of TAMs remain largely elusive (57). Potential explanations could involve in the TAM metabolism, given that TREM2 is a receptor for a wide array of ligands, including anionic molecules, DNA, lipoproteins, and phospholipids. These ligands are intimately associated with cellular metabolism and are abundantly present in the TME (57).
4.2 Tumor-associated neutrophils
Neutrophils represent one of the most abundant leukocytes in the blood of humans (up to 50-70%) in physiological settings, which have drawn a lot of attention to investigate their relationship with cancer (58). There were studies to report that PDAC cells, even tumor cells from the lesions of early stages such as PanIN, can significantly promote the expansion of neutrophil progenitors in bone marrow by secreting growth factors (GM-CSF, G-CSF, and M-CSF) (59, 60). Accordingly, the Neutrophils-Lymphocyte Ratio (NLR) of periphery blood has been identified as a faithful prognostic value of the outcomes of PDAC patients after treatment (61, 62). Specifically, a high NLR value (NLR>2.5) was remarkably associated with a decreased frequency of CD8 T cells within the tumor and predicted worse overall survival in PDAC patients after surgical resection and chemotherapy (57, 58). More recently, by analyzing PDAC mouse models and PDAC samples of patients, Jiang et al. found that neutrophil infiltration displayed a body-wide effect, including liver, lung, colon, stomach, kidney, heart, and brain (63). Thus, systemic neutrophil infiltration and associated inflammation can be a cautious marker of pancreatic cancer prognosis.
In addition to promoting neutrophil progenitor expansion in bone marrow, PDAC is involved in recruiting neutrophils to the TME and pre-metastatic niches through secretion of a variety of chemokines such as CXCL1, CXCL2, CXCL5, and CXCL8 (64–67). Using mouse models, Steele et al. reported the liver recruitment of CXCR2+ neutrophils contributing to PDAC metastasis (67). In the context of CXCR2+ neutrophil depletion genetically or pharmacologically, PDAC liver metastasis was remarkably reduced, along with significantly prolonged tumor-free survival of PDAC mouse models (67). Although not directly investigated in the study, it is reasonable to propose a link between the mechanistic action of CXCR2+ neutrophils in PDAC and CXCR2 ligands, given that CXCR2 is a receptor for a series of chemokines CXCL1, CXCL2, CXCL3, CXCL5, CXCL6, CXCL7, and CXCL8 (66, 67). Furthermore, CXCR2+ neutrophil depletion improved tumoral infiltration and function of CD8 T cells, which sensitized anti-PD1 therapy in mouse models of PDAC (67). Together with reports showing that TANs expressed PD-L1 to suppress anti-tumor T cell functions, TANs therefore have been considered as significant immunosuppressive cells in PDAC TME (66–68). Besides, like TAMs, TANs in PDAC TME are also a substantial source of ECM degradation mediators such as MMPs and Elastase, which can promote PanIN progression, PDAC invasiveness, and metastasis (58, 69). In recent years, the role of neutrophil extracellular traps (NETs) has gained attention in neutrophil biology and related diseases (70). NETs are network structures composed of DNA-histone complexes and proteins released by activated neutrophils (70). Studies showed that NETs activated IL-1β/EGFR/ERK pathway, and subsequently promoted PDAC EMT and metastasis (71, 72). Collectively, these studies support the notation that TANs represent one of the major immunosuppressive populations in the TME, inhibiting anti-tumor immunity and contributing to PDAC progression.
Like the definition of M1 and M2 for macrophages, TANs have been classified as N1 (anti-tumor) and N2 (pro-tumor) based on the activation and functional status in the TME (73). Fridlender et al. showed that TGFβ-induced differentiation of N2 TANs led to a pro-tumor phenotype in TME, whereas anti-tumor N1 TANs were polarized when TGFβ was ablated. The study highlighted the phenotypic and functional heterogeneity of TANs in PDAC TME (73). Another important question is what are the functions of TANs in the context of cancer immunotherapy? Recent studies have shown that immunotherapy-activated T cells can recruit and induce the maturation of neutrophils, leading to an improved capacity of neutrophils to directly kill tumor cells (74, 75). This demonstrates an important role for neutrophils in the context of cancer immunotherapy.
4.3 Myeloid-derived suppressor cells
Myeloid-derived suppressor cells (MDSCs) are a heterogeneous population originating from myeloid progenitor cells of bone marrow. They are primarily classified into two populations, mononuclear (M-MDSC) and polymorphonuclear cells (PMN-MDSC), which accounts for 20-30% and 70-80% of the total MDSC population, respectively, in most tumors (76–78). Both M-MDSCs and PMN-MDSCs were reported to remarkably accumulate and expand in PDAC TME, and importantly, their frequency was negatively correlated with patient survival and response rates of immunotherapies (76, 77). M-MDSCs express higher levels of signal transducer and activator of transcription 1 (STAT1), inducible nitric oxide synthase (iNOS), and nitric oxide (NO, which is produced by iNOS-mediated L-arginine metabolism) (78). On the other hand, PMN-MDSCs have increased levels of STAT3, reactive oxygen species (ROS), but less NO (78). ROS is a detrimental agent for T cells, while simultaneously maintaining the survival of MDSCs themselves (78). These cellular events result in the suppression of anti-tumor T cell responses (78). Importantly, both M-MDSCs and PMN-MDSCs are an important source of arginase 1, which deprives L-arginine required for T cell metabolism, thus impairing their functions (76, 78). In PDAC TME, MDSCs (including both M-MDSCs and PMN-MDSCs) also directly maintain other immunosuppressive cells including TAMs and Tregs (76, 79). For example, by using light sheet fluorescent microscopy, Siret et al. observed the close associations of MDSCs and Tregs in tumor samples from PDAC mouse models and patients. Further studies demonstrated that MDSCs secreted TGFβ and IL-10, fostering Treg frequency and functions locally in PDAC TME (79). Besides, like TAMs and TANs, MDSCs can also promote neoangiogenesis, EMT, and metastasis of PDAC through secretion of a variety of mediators such as G-CSF, GM-CSF, stem cell factor (SCF), cyclooxygenase 2 (COX-2), PGE2, MPPs, VEGF, and HGF (78, 80). Lastly, it is especially worth mentioning that PMN-MDSCs are distinct from neutrophils, given that they have increased levels of arginase 1 and peroxynitrite, fewer granules, and reduced CD16 and CD62L expression (78, 80).
4.4 Regulatory T cells
Regulatory T cells (Tregs) are a subset of immunosuppressive cells, which have been largely reported to play tumor-promoting roles (81). Tregs are highly infiltrated into PDAC, and their abundance is often correlated with a poor prognosis and reduced survival in patients (82). Tregs exert their immunosuppressive effects through various mechanisms. One of the main mechanisms employed by Tregs is the expression of immune inhibitory molecules, such as CTLA-4, which can dampen the activation and function of CD8 T cells (81). Additionally, Tregs produce immune regulatory cytokines, including TGFβ and IL-10, which further contribute to the suppression of anti-tumor immune responses. Moreover, they also compete with other T cells for IL-2 via higher expression of the IL-2 receptor, and therefore suppressing T cell function (81). Interestingly, a recent study showed that depletion of Tregs accelerated PDAC growth due to compensatory infiltration of tumor-promoting myeloid cells, specifically, TAMs (83). The specific mechanisms underlying this phenomenon were not explored in the study, highlighting the need for further research. Nevertheless, these findings suggest that caution should be exercised when considering Treg depletion as a therapeutic strategy for PDAC.
4.5 Mast cells
Mast cells are also one of the immune cell subsets that have been shown increased infiltration in PDAC. There were studies to report the inverse correlations between the frequency of mast cells with pathological grades of tumors and the overall survival of patients with PDAC (84, 85). Chang et al. observed the increased infiltration of mast cells into the tumors in a mouse model of PDAC, compared to that in the pancreas of healthy mice (85). Furthermore, they orthotopically transplanted the PDAC cells, that were isolated from the mouse model, into mast cell-deficient mice (Kitw-sh/w-sh) and found that the tumor growth was significantly slower than that in WT recipient mice. Reconstitution with mast cells in Kitw-sh/w-sh mice remarkably restored PDAC growth. These studies thus demonstrated a tumor-promoting role for mast cells in PDAC growth (85). In fact, mast cells have been shown to secrete a variety of tumor-supporting and/or immunoregulatory factors in PDAC TME, including IL-13, Tryptase, MMPs (84, 86). Despite the evidence pointing towards a tumor-promoting role for mast cells in PDAC, the specific targeting strategies for mast cells in PDAC therapies have received limited investigation so far.
5 Impaired anti-tumor immunity in PDAC TME: CD8 T cells, DCs, and NK cells
5.1 CD8 T cells
Cytotoxic CD8 T cells play a central role in anti-tumor immunity. Upon recognition of T cell receptor (TCR) of tumor cells, of which tumor-specific antigen is presented by major histocompatibility complex class I (MHC-I), CD8 T cells can kill tumor cells through producing cytotoxic molecules, such as granzymes and perforin (15). Generally, high tumoral infiltration of CD8 T cells and/or their improved functional status are positively associated with responses to therapies and the outcomes in patients across many cancer indications (15, 87). In most patients with PDAC, however, CD8 T cells are either scarce or excluded from the tumor cores. Even though CD8 T cells are present intratumorally in some PDAC patients, they are usually dysfunctional or exhausted, evidenced by elevated expression of a set of checkpoint molecules including PD-1, Tim-3, and LAG-3, and reduced production of effector cytokines such as IFNγ, TNFα, and granzyme B. Many mechanisms that mediate PDAC immune escape have been reported (15, 87). For example, Yamamoto et al. showed that autophagy-mediated degradation in PDAC contributed to significantly downregulated MHC-I molecules, consequently preventing CD8 T cells from being fully activated (34). In general, it appears that nearly all cell types from the defined Immunosuppression module, including TAMs, TANs, MDSCs, and Treg cells, can suppress CD8 T cells (Figure 1) (13, 14). CAFs also contribute to CD8 T cell suppression through the secretion of immunoregulatory molecules such as TGFβ and CXCL12 (88, 89), as well as through forming a physical barrier to directly prevent their infiltration (90). In summary, CD8 T cells in the tumors of most PDAC patients are rare, dysfunctional, and excluded from the tumor cores.
5.2 Dendritic cells
Dendritic cells (DCs) are professional antigen-presenting cells and initiate immune responses when fully activated. Numerous studies have reported that DC numbers and functions are significantly low in PDAC samples of patients, compared with other tumor types (91, 92). Accordingly, most PDAC patients were found the remarkable lack of circulating DCs in peripheral blood, who were usually associated with worse survival outcomes. It suggested the significance of DCs in PDAC patients (91, 92). In this regard, immense efforts have been put into the development of DC-based therapies for PDAC (16, 93). For example, using tumor antigen-expressing mouse models of PDAC and lung cancer, Hegde et al. reported a remarked impairment of conventional DCs in numbers and functions in PDAC, but not in lung tumors, which resulted in different tumor controls (16). It was further demonstrated that treatment with Flt3L and CD40 agonism, a regimen to improve DCs, led to PDAC control. Importantly, this treatment rendered PDAC responses to radiotherapy and its control was further improved (16, 93). These studies suggest a significant potential of DC-based therapies for PDAC. However, the reasons causing the impairment of DCs in PDAC remain to be further characterized.
5.3 Natural killer cells
Natural killer cells (NK cells), a population of innate lymphoid cells, are important players in the immune surveillance of cancer. NK cell activation is controlled by integrating signals from activation and inhibitory receptors. Normal cells express MHC-I molecules, the ligands for the inhibitory receptors of NK cells, to keep them under check. On the other hand, tumor cells usually downregulate MHC-I to escape from CD8 T cell killing, making them susceptible to NK cell-mediated killing. Hence, NK cells and CD8 T cells coordinate to keep effective immune surveillance of tumor cells. However, both NK cells and CD8 T cells (abovementioned) are impaired in PDAC TME (18, 94). Lim et al. provided evidence showing a lower frequency of NK cells in tumor samples of PDAC patients, which was due to downregulated expression of CXCR2, a receptor of several chemokines important for NK cell recruiting (94). Furthermore, NK cell functional impairment was also evidenced, mechanistically attributed to decreased expression of NK cell activation receptors NKG2D and DNAM-1 (94). The molecular insights leading to the NK cell impairment in PDAC TME, such as what causes downregulated CXCR2, NKG2D, and DNAM-1 in NK cells, remain largely unknown. More recently, Muthalagu et al. provided a novel mechanistic study to explain the NK cell evasion in PDAC (40). Using mouse models of PDAC expressing oncogenes MYC and K-RAS, they showed that type I IFNs were suppressed due to the binding of repressive MYC-MIZ1 complexes directly to the gene promoters of type I IFN regulators IRF5, IRF7, STAT1, and STAT2. Consequently, it contributed to the ineffectiveness of NK cell infiltration and PDAC control. Further study showed that genetic or pharmacological removal of repressors of type I IFN regulator genes increased NK cell infiltration and mouse survival. This study not only shed light on the mechanisms underlying NK cell impairment but also highlighted the possibility of targeting IFN signaling to improve PDAC therapy (40). In addition, NK cell cytotoxicity and INFγ production can be impaired by TGFβ, an abundant cytokine of immunoregulatory in PDAC TME (18, 95). Therefore, strategies to restore NK cell infiltration and function in PDAC TME hold great value for improving therapeutic outcomes.
6 Emerging roles for CD4 T and B cells in PDAC TME
6.1 CD4 helper T cells: Th1, Th2, and Th17
CD4 T cells are major players and coordinators of innate and adaptive immune responses and have been increasingly implicated in cancer immunity. Upon functional polarization, they show a broad spectrum of differentiation into defined subsets, including T helper 1 (Th1), Th2, Th17, and Treg (discussed above), implying their functions in tumor immunity are multifaceted and highly dependent on contexts (19–22). Th1 cells have been well-recognized to mediate anti-tumor effects, as they produce effector cytokines IL-2 and IFNγ (19, 20). However, a lower abundance of Th1 cells in PDAC was also implicated in the prolonged survival of patients, although the underlying reasons remain undetermined (20). Th2 cells secrete type 2 cytokines IL-4, IL-5, and IL-13, which mediate macrophage immunosuppressive polarization, fibrotic responses, and angiogenesis in tumors (19, 21). In PDAC patients, Th2 cell frequency has been shown an inverse correlation with overall survival, highly suggesting a tumor-supporting role for these cells (19, 21). Nonetheless, Jacenik et al. reported that Th2 cells suppressed colon and pancreatic tumor growth in mice. Mechanistically, it was associated with Th2 cell-secreted IL-5, which promoted anti-tumorigenic responses of macrophages and eosinophils (96). As the main producer of IL-17 family cytokines, Th17 cells have been shown divergent effects in tumor immunity. He et al. provided data showing that elevated Th17 cells and their cytokines IL-17 and IL-22 were associated with tumor invasiveness, metastasis, and poor survival of PDAC patients (97). In line with the study in humans, McAllister et al. reported a remarked reduction in tumor progression in a mouse model of PDAC, of which Th17 cells were depleted (98). In the study, overexpression of IL-17A cytokine in the pancreas significantly accelerated PanIN initiation and progression in mouse models, suggesting a tumor-promoting role for IL-17 signaling albeit the molecular mechanisms required further investigation (98). Interestingly, there were also studies to report the potential anti-tumor effects of Th17 cells, as increased Th17 cell infiltration was positively correlated with tumor control and survival of PDAC mouse models (22). Therefore, the paradoxical effects among Th1, Th2, and Th17 cells in tumor immunity may highly rely on contexts including PDAC TME status, which requires further characterization in order to use their anti-tumor immunity whereas reverse the tumor-promoting role for PDAC therapy.
6.2 B cells
B cells are highly infiltrated in PDAC, and their roles in cancer immunity have been the subject of increasing research (23, 99). By determining PanIN and PDAC lesions from both humans and mouse models, Pylayeva-Gupta et al. observed the prominent presence of B cells and that orthotopic PDAC growth was significantly slowed in B cell-deficient mice. Further analysis identified the contribution of IL-35-producing CD1dhiCD5+ B cells to PDAC progression in mice and that these cells were recruited through CXCL13 (100). A regulatory B cell population has been well-documented in PDAC, which, except for IL-35, was also characterized by the expression of IL-10 and PD-L1 (99). It thus explained the capabilities of the B cells to suppress anti-tumor immunity and promote PDAC. Besides, B cells have been implicated in other mechanisms contributing to PDAC progression. They have been found to play a role in programming tumor-supporting FCγR+ TAMs and to be functionally associated with hypoxia in PDAC (101, 102). Collectively, these studies highlighted a tumor-promoting role for B cells in PDAC albeit through various mechanisms. More recently, ectopic lymphoid aggregates, namely tertiary lymph structures (TLS), have been observed in many solid cancers including PDAC. Composed of organized B cells and T cells, TLS presence has been positively associated with immunotherapy efficacy and favorable survival of PDAC patients (103, 104). Underlying mechanisms most likely attributed to TLS functioning as tumor immunity hub readily available in TME (103, 104). In addition, it is postulated that the presence of sparse or organized B cells within tumors may play divergent roles in tumor immunity.
7 Cancer-associated fibroblasts in the immunosuppressive TME of PDAC
Cancer-associated fibroblasts (CAFs) represent the most abundant cell type in the TME of PDAC, in which they constitute up to 80% of all cells. CAFs behave with remarkable desmoplastic reaction, a typical feature of the PDAC TME that is largely involved in ECM deposition and vessel remodeling. CAFs are very heterogeneous populations in terms of cellular origin and function (24). Studies have shown that CAFs can derive from pancreatic stellate cells (PSCs), tissue-resident fibroblasts, adipocytes, pericytes, bone marrow-derived progenitors, and endothelial cells (24). PSCs have long been considered as the primary source of CAFs in PDAC, however, cell lineage tracing study targeting Fabp4+ PSCs showed them contributing to a numerically minor CAF subpopulation (24, 105). This suggests that multiple cellular origins contribute to the heterogeneity of CAFs in PDAC (24, 105). The extent to which each potential cellular origin contributes to the diverse population of CAFs in PDAC is still largely unknown. Additionally, the relationship between the different cellular origins and the phenotypic, spatial, and functional heterogeneity of CAFs in PDAC remains unclear.
In the context of PDAC, three subsets of CAFs have been widely appreciated from early efforts by scRNA sequencing analysis of tumors from mouse models and human patients. A myofibroblast-like subset of CAFs (myoCAF) was evidenced by upregulating expression of αSMA and ECM, meanwhile inflammatory CAFs (iCAF) expressed cytokines and chemokines such as IL-6 and CXCL12. Spatially, myoCAFs were located close to the neoplastic cells whereas iCAFs distributed distantly from the tumor cells, likely indicating the distinct modes of CAF-tumor interactions (106–108). In addition to myoCAFs and iCAFs, a distinct CAF population expressing high levels of antigen presentation molecules such as MHC-II molecule and CD74 has been characterized (termed antigen-presenting CAFs, or apCAF). Interestingly, these cells lacked costimulatory molecules, suggesting their inability of mounting a functional immune response (107, 109). Recently, a subset of CAFs expressing leucine-rich-repeat-containing protein 15 (LRRC15) was identified in PDAC, but not in the healthy pancreas, in both mice and humans. LRRC15 marked a myofibroblast population of CAFs that were dependent on TGFβ, although its function in CAFs were unknown. These cells were shown to promote tumor growth and limit anti-tumor immunity and responsiveness to immune checkpoint blockade (110, 111).
CAFs contribute to the immunosuppressive TME in PDAC in various manners. CAFs have been reported to promote the differentiation and/or recruitment of MDSCs in the TME by secreting IL-6, GM-CSF, and CCL2 (24, 106). A more recent study has shown that CAFs secreted CSF-1 to drive p21-mediated TAM proliferation and immunosuppressive phenotypes, which promoted PDAC progression (112). Moreover, CAFs impaired anti-tumor T cell immunity, through CXCL12-mediated T cell exclusion and/or TGFβ-mediated T cell functional suppression (24, 88, 89). Finally, costimulatory-deficient apCAFs presented antigens to T cells but were unable to activate them. ApCAFs thus prevented T cells from being activated by professional antigen-presenting cells. More recently, apCAFs were shown to have an immunoregulatory function since they directly induced Treg differentiation from naïve CD4 T cells in an antigen-specific manner (107, 109). In summary, the fundamental investigation of CAF origin, phenotypic and functional heterogeneity, and how they contribute to the immunosuppressive TME in PDAC will generate instrumental knowledge for targeting them.
8 Targeting the immunosuppressive TME to improve PDAC therapy
Immunotherapies with immune checkpoint inhibitors (ICI) have revolutionized the treatment of several cancers. However, this new treatment, particularly monotherapy, seems not to be entirely effective for PDAC, except for the 1% of patients harboring high microsatellite instability in tumors. Reasons that contribute to the low efficacy of ICI therapy for PDAC are multiple, with the overarching TME representing the most notorious one (2–5). In this regard, TME-targeted strategies have long been investigated to improve PDAC therapy, among which novel examples will be highlighted in the section (Table 1).
Table 1 Selected clinical trials targeting TME for pancreatic cancer therapy.
8.1 Targeting the immunosuppression
CSF1/CSF1R pathway plays a crucial role in TAM recruitment, maintenance, and proliferation, which can be prevented either with monoclonal antibodies to block CSF1R dimerization or with small molecule inhibitors to impair CSF1R-mediated signal transduction (44, 45, 113, 114). CSF1R inhibition has been shown to reduce CD206hi TAMs in PDAC, thereby leading to M1-like macrophage polarization, increased T cell infiltration, and reduced tumor growth (113, 114). Importantly, CSF1R inhibition improved radiotherapy, anti-PD1 and anti-CTLA4 immunotherapies, and gemcitabine chemotherapy in preclinical mouse models of PDAC (113, 114). However, a cautious approach must be taken for future clinical applications due to the potential compensatory effect of TAM depletion, which may lead to the emergence of immunosuppressive G-MDSCs (66, 115).
CCL2/CCR2 axis is highly used for PDAC to mobilize and recruit inflammatory monocytes, which further differentiate into TAMs in TME (44, 45, 116, 117). In mice, pharmacologically blocking CCL2/CCR2 axis through an anti-CCL2 neutralizing antibody or CCR2 inhibitor resulted in reduced CCR2+ monocytes and TAMs in primary PDAC and pre-metastatic liver, which consequently contributed to improved anti-tumor immunity, reduced tumor growth, and decreased metastasis (116, 117). Notably, discrepancies have been observed in murine models when comparing the effects of pharmacological blockade of CCL2/CCR2 axis to those of germline genetic ablation of CCR2 in attenuating PDAC progression (53). Such findings underscore the necessity for more meticulous and comprehensive consideration when utilizing preclinical animal models in future research. In addition, CCL2-mediated recruitment of monocytes has been a critical mechanism for PDAC to resist radiotherapy, given that blocking CCL2/CCR2 axis improved ablative radiotherapy in mouse models of PDAC (116). Clinically, phase I trials NCT01413022 (CCR2 antagonist PF-04136309 + FOLFIRINOX) and NCT02345408 (CCR2 antagonist CCX872 + FOLFIRINOX) have seen objective responses for the PDAC patients treated with the combinations (118, 119).
Another strategy to target TAMs in PDAC involves the application of CD40 agonists to activate their anti-tumor responses (14, 87, 93, 120). CD40, a member of TNF superfamily, is broadly expressed by immune cells, including monocytes, macrophages, and DCs, and is crucial for their activation, antigen presentation, and other immune responses (93, 120). In mouse models of PDAC, treatment with agonistic CD40 antibodies reprogramed TAMs toward anti-tumor phenotypes. It was evidenced by the upregulation of MHC-II and CD86, and elevated production of pro-inflammatory cytokines IL-12, TNFα, and IFNγ (93, 120). Further, combined treatment with CD40 agonists and gemcitabine/nab-paclitaxel improved TAM responses and anti-tumor T-cell clonal expansion, consequently facilitating PDAC control in mouse models (87, 93, 120). Moreover, triple therapy with T-cell inducting vaccine, PD-1 blockade, and CD40 agonist significantly promoted anti-tumor T cell immunity, marked by elevated infiltration of IFNγ-, TNFα-, and granzyme B-secreting effector T cells (121). As a result, triple therapy further improved tumor control and prolonged mouse survival. Of note, macrophage depletion markedly compromised the anti-tumor effect of CD40 agonist, suggesting the significance of macrophages in the application of this therapy (121). In patients with PDAC, combined treatment with CD40 agonist (CP-870,893) and gemcitabine led to a reduction in tumor burden in phase I study (NCT00711191) (120). However, the phase II clinical trial (NCT03214250) for metastatic PDAC patients treated with the combination of CD40 agonist (Sotigalimab), gemcitabine/nab-paclitaxel, and PD-1 blockade (Nivolumab) did not show improvements in 1-year overall survival rates (122). Therefore, future studies to identify predictive biomarkers of response will be required to achieve higher efficiency.
TANs are abundant in PDAC and targeting them has been a subject of extensive research. TAN depletion with a small molecule inhibitor of CXCR2 led to a remarked reduction in PDAC progression and metastasis in mice, which was associated with improved T cell infiltration. In line with this, CXCR2 inhibition further synergized with anti-PD1 and/or FOLFIRINOX therapies (66, 67). However, PDAC patients treated with combined CXCR2 inhibitor (AZD5069) and anti-PD-L1 (Durvalumab) in a phase Ib/II clinical trial (NCT02583477) demonstrated limited efficacy, which warranted future studies. It has been shown that CXCR2 inhibition resulted in compensatory emergence of CCR2+ myeloid cells in mouse PDAC, which in turn remarkably compromised the effect of CXCR2 inhibition (66). Further, combined inhibition of CXCR2 and CCR2 successfully disrupted the recruitment of immunosuppressive myeloid cells in mouse PDAC and consequently improved chemotherapy responses (66). It suggests an important point to be considered in future clinical trials regarding therapies through myeloid cell depletion.
Different strategies to directly target Tregs have been investigated. One of the earliest studies was the incorporation of low-dose cyclophosphamide in different treatment regimens to target Tregs (123, 124). Studies showed that Tregs had higher susceptibility to the toxic effects of cyclophosphamide due to their low levels of intracellular ATP (Adenosine triphosphate) and glutathione, thus were selectively eliminated (123, 124). In combination with the allogeneic PDAC vaccine (GVAX, granulocyte macrophage colony-stimulating factor–secreting pancreatic cancer cell lines), cyclophosphamide has been shown to augment immune responses in PDAC patients (125, 126). Additionally, CTLA-4, neuropilin-1, and CCL5/CCR5 have been explored as targets for intratumoral Tregs (2, 4, 5). However, it is especially worth noting that a recent study has shown an acceleration of tumorigenesis in the context of Foxp3+ Treg cell-genetic depletion in a mouse model of PDAC, which mechanistically attributed to compensatory infiltration of myeloid cells, in particular TAMs (83). In this regard, chemotherapies that can delete Tregs, such as low-dose gemcitabine (127), could unintendedly contribute to pro-tumor consequences in PDAC patients. Thus, these studies imply that therapeutic strategies aimed at immunosuppressive cell modulation rather than depletion could hold more potential to benefit PDAC outcomes.
8.2 Targeting cancer-associated fibroblasts
Targeting cancer-associated fibroblasts (CAFs) to treat cancer was initially evaluated with inhibitors of fibroblast-activation protein (FAP), a type-II transmembrane serine protease highly expressed by fibroblasts. In mice with subcutaneous PDAC, FAP inhibitor (UAMC-1110) did not show any meaningful efficacy as a single agent (128). Similarly, in patients with metastatic PDAC, combined treatment with FAP inhibitor (Talabostat) and gemcitabine demonstrated very limited efficacy over historical gemcitabine monotherapy in a phase II clinical trial (129). Given the lack of success in targeting FAP, subsequent studies have been investigated to deplete active CAFs. Studies have shown that genetic depletion of aSMA-expressing CAFs (myoCAF) in mouse models of PDAC promoted tumor progression, suggesting a tumor-suppressing function of these cells (130). Interestingly, a recent study by Krishnamurty et al. reported that depletion of LRRC15+ myoCAFs slowed tumor growth in mouse models of subcutaneous PDAC (111). Moreover, LRRC15+ myoCAF depletion in combination with anti-PDL1 led to a significantly improved anti-tumor effect (111). According to these findings, the study instead noted a tumor-supporting role for LRRC15+ myoCAFs in PDAC (111). Notably, the paradoxical results of targeting myoCAFs from the abovementioned studies warranted a comprehensive understanding of CAF heterogeneity in PDAC therapy. In PDAC, ECM is primarily secreted by CAFs and highly deposited in the TME (24). Targeting ECM, such as modulating sonic hedgehog signaling, MMP activity, or hyaluronan deposition, has also been studied. Unfortunately, early clinical trials in PDAC patients did not yield satisfactory therapeutic efficacy with these strategies (24). Another strategy for targeting CAFs is to block CAF-mediated immunosuppression. For example, disrupting CXCL12-CXCR4 signaling by AMD3100, a small molecule inhibitor of CXCR4, demonstrated a synergistic anti-tumor activity in combination with anti-PD-1/PD-L1 therapy in mouse models of PDAC (84, 89). The combination therapy of CXCR4 inhibition (ADM3100) and anti-PD1 (Cemiplimab) is now being studied in a phase II clinical trial (NCT04177810) for patients with metastatic pancreatic cancer (131). CXCR4 inhibition has also been shown to result in the infiltration of additional myeloid cells into tumors, suggesting a potential mechanism of resistance against CXCR4-targeted therapies (131). Together, these findings generally raise a perspective that future strategies should aim at modulating the TME instead of targeted depletion.
9 Concluding remarks
Over the past years, increasing knowledge has been made in understanding the complex TME of PDAC and its significance on disease biology and treatment outcomes. Despite its heterogeneity and complex interplay among various cellular components, the PDAC TME consistently exhibits immunosuppressive characteristics, which strongly influence tumor progression, metastasis, as well as responses to therapies. Other research topics that were not covered due to the scope of this review, such as cancer metabolism, vessel remodeling, and cancer vaccines, can also be promisingly targeted for therapeutics. Overall, it can be expected that conceptual advances that understand the overarching TME of PDAC toward a comprehensive overview could help to develop new therapeutic strategies aimed at targeting multiple mechanisms with synergistic effects.
Author contributions
JG: Conceptualization, Writing – original draft, Writing – review & editing. SW: Conceptualization, Writing – review & editing. QG: Conceptualization, Writing – review & editing.
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
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Keywords: pancreatic cancer, complex tumor microenvironment, diverse cellular cross-regulations, immunosuppression features, targeting strategy
Citation: Guo J, Wang S and Gao Q (2023) An integrated overview of the immunosuppression features in the tumor microenvironment of pancreatic cancer. Front. Immunol. 14:1258538. doi: 10.3389/fimmu.2023.1258538
Received: 14 July 2023; Accepted: 29 August 2023;
Published: 12 September 2023.
Edited by:
Xuanbin Wang, Hubei University of Medicine, ChinaReviewed by:
Hiroshi Yano, Weill Cornell Medicine, Cornell University, United StatesEric Ubil, University of Alabama at Birmingham, United States
Copyright © 2023 Guo, Wang and Gao. 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: Qi Gao, gaoqi2019@jlu.edu.cn
†These authors have contributed equally to this work