Abstract
Accumulating evidence suggests a role for γδ T cells as unexpected drivers of tumor development and progression. These protumoral γδ T cells are abundant in the tumor microenvironment in both mouse and human. They promote tumor progression by 1) inducing an immunosuppressive tumor microenvironment and angiogenesis via cytokine production; by 2) functioning as Treg/Th2-like cells; by 3) interfering with dendritic cell effector function; and by 4) inhibiting antitumor adaptive T cell immunity via the PD-1/PD-L1 pathway. Understanding how these cells are regulated and what their specific role in cancer is will provide insight for developing approaches that specifically target these cells and can thus improve the efficacy of cancer immunotherapies.
Keywords: γδ T cells, tumor microenvironment, protumoral, PD-1 regulation
Gammadelta (γδ) T Cells in Cancer
The complexity of γδ T cells continues to grow in terms of subsets and functional variations from suppressive to inflammatory depending on development and peripheral regulation (1,2). While certain subsets of γδ T cells have been selected as potential agents for immunotherapy, other subsets with newly emerging tumorigenic effector functions will be the focus of this review. In particular, it is becoming more evident that certain subsets of γδ T cells possess a large regulatory capacity, particularly within the context of cancer. Therefore, it is important to further investigate γδ T cell regulation in the tumor microenvironment and under the pathophysiology of development and progression of tumors due to the highly dynamic and complex nature of infiltrating γδ T cells.
The majority of known subsets of γδ T cells, named by the Heiling system in this review, can be found within the tumor microenvironment. In mice, these populations consist of Vγ6, Vγ4 and Vγ1 (3,4). Vγ6 cells are the major inflammatory T cells in the tumor, and predominantly produce IL-17 along with other inflammatory cytokines including IL-22, GM-CSF and IL-8 (5–8). Vγ4 cells have a substantiated role in both inflammation and tumor surveillance, and are capable of producing IL-17 and IFN-γ (4,8). Vγ1 cells show a suppressive phenotype through the production of TGF-β and IL-10 (4,9,10). In humans, Vγ9Vδ2 and Vδ1+ cells are both present, but depending on the tumor type, one subset can be predominant over the other (7,11,12). In vivo, Vγ9Vδ2 cells appear to be more involved in tumor immunosurveillance and regulation, however, in vitro, they have tremendous plasticity allowing differentiation into many pro-tumorigenic phenotypes including Treg-like and Th2-like (13,14). Vδ1+ cells, particularly within breast and colonic epithelial tissues, can be either potent inflammatory cells through the production of IL-17 and other related cytokines, or suppressive cells capable of drastically reducing the immune system’s ability to kill and fight off cancer (7,11).
γδ T cells in general are regulated either through cell-to-cell contact or by soluble factors such as cytokines (15,16). In humans, the adaptive response of TCR and NKG2D engagement with ligands, isopentenyl pyrophosphate (IPP) and MHC class I-chain-related molecules A/B (MICA/B), respectively, is important to their ability to lyse target cells. Whether similar TCR signaling is important for pro-tumor effector functions is still debatable (17,18). Immediate innate γδ T cell responses appear to be more regulated through cytokine stimulation, recognition of various molecular patterns such as pattern associated molecular patterns (PAMPs) and damage associated molecular patterns (DAMPs), and metabolic regulation (19–23).
Therefore further investigation into the regulatory mechanisms and downstream effector functions of the different protumoral γδ T cell populations could prove to be paramount in developing new more targeted cancer interventions. Particularly, developing a more intricate understanding of the regulatory role these γδ subsets play within the tumor microenvironment could result in more precise drug design and better utilization of combinational therapies that ultimately lead to more efficacious outcomes for cancer patients.
Emerging Immunosuppressive γδ T Cell Subtypes in Humans and Mice
In the past fifteen years, translational γδ T cell research has been hampered by the belief that murine and human γδ T cells are quite different from each other. However, recent studies of cancer patients showed that there are in fact similarities between the two species’ γδ T cells (7,24). A recent elegant study showed that human and mouse epithelia can use organ-specific butyrophilin-like (Btnl) genes to induce selective extrathymic maturation and proliferation of mouse Vγ7+ and human Vγ4+ T cells, suggesting a conserved mechanism for the development and maturation of mouse and human γδ T cells (25). In particular, it is becoming more evident that γδ T cells within the tumor microenvironment in mice and humans share similar characteristics and functionalities. Thus far, a tumor-infiltrating immunosuppressive γδ T cell population has been identified in a variety of human cancers and murine tumor models (Tables 1 and 2). Close examination of the different cancer models in both species revealed that the major cytokine responsible for driving this immunosuppressive phenotype is IL-17.
Table 1.
Murine pro-tumor γδ T cell subsets
| Model | Cancer Type |
γδ TCR Expression |
Cytokines | Surface/ Intracellular Markers |
Pro-tumor Effector Function |
|---|---|---|---|---|---|
| Spontaneous | Breast Cancer | Vγ4+ | IL-17, IFN-γ, G-CSF | CD27−, RORγt+ (intracellular), CCR6+ | Induce G-CSF mediated recruitment of tumor infiltrating neutrophils (6) |
| Spontaneous | Pancreatic intraepithelial neoplasia (KRAS) | γδTCR+ | IL-17, IL-22 (36) | Proangiogenic survival (5) | |
| Transplant (subcutaneous) | Subcutaneous heap 1-6 murine hepatocellular carcinoma | Vγ4+ | IL-17 | RORγt+, CD27−, CCR6+ | Mobilization of myeloid-derived suppressor cells by CXCR2 (8) |
| Transplant (subcutaneous) | B16-F10 melanoma | Vγ1+ | IL-4 | GATA-3+ (intracellular) | Th-2 like phenotype-reduce protective effect Vγ4+, downregulation of IFN-γ, NKG2D, and perforin (4) |
| Transplant (intravenous) | Lewis Lung carcinoma (3LL) | Vγ6+ | IL-17 | MDSC recruitment to tumor microenvironment(35) | |
| Transplant (intraperitoneal) | ID8 ovarian cancer | Vγ6+ | IL-17, IL-22 | CD27−, IL-7Ra+ | Mobilization of small peritoneal macrophages promoting proangiogenic factors (3) |
| Transplant (intraperitoneal) | MCA-induced CMS-G4 Fibrosarcoma | Vγ1+, | IL-17, IL-22 | CD27−, CCR6−, NKG2D+ | Increased angiogenic related genes (ang-2 and Vegf) (39) |
| Transplant (orthotopic) | Pancreatic Ductal Carcinoma | Vγ4+ | IL-17, IL-10, TNF-α, IL-13 | CD27+, CCR6+, PDL-1+ | Inhibition of antitumor properties through suppression of αβ T-cells (28) |
Table 2.
Human pro-tumor γδ T cell subsets
| Cancer Type | γδ Expression | Cytokines | Surface/intracellular Markers |
Pro-tumor Effector Function |
|---|---|---|---|---|
| Colorectal Cancer | Vδ1+, (<10% Vδ2) | IL-17A, IL-8, TNF-α, GM-CSF, IL-17F | CD27−, CD45RO+, CD69+, CD161+, CCR6+, CD45RA−, PD-1+ CD39+ (5, 48) | Chronic inflammation, recruitment of PMN-MDSCs and Treg-like suppressive function (7, 48, 56) |
| Melanoma | Vδ1+ (50%), Vδ2+ (42%) | IL-17, TNF-α, IFN-γ | CD45RA−, CD27− (64.9%), CD45RA+, CD27− (26.1%) | Higher frequencies of Vδ1+ cells are negatively associated with survival (57, 58) |
| Breast Cancer | Vδ1+ | IL-17, IFN-γ, GM-CSF | CXCR3+, NKG2D, CD56+, CD8αα+, CD25−, FoxP3low, | Treg functionality-inhibition of IL-2 and CD4/8+ effector function via TLR-8; impair maturation of DCs (12, 59–61) |
| Pancreatic Ductal Adenocarcinoma | γδTCR+ | IL-17, IL-22 (36) | RORγt+ (36), CD27−, CD45RA− | Restriction of αβ T-cell activation via enhanced expression of exhaustion ligands (28) |
| Rectal Cancer | Vδ1+ | Inhibitory effect on proliferation rate of CD4+ T cells (62) | ||
| In vitro IL-4+ stimulation | Vδ1+ polarization | IL-10 | CD124+ | Inhibit in vitro expansion of Vδ2+ γδT cells which possess potent antitumor killing capabilities (44) |
In addition to classification as mainly γδT17 cells, most of these pro-tumor γδ T cell subsets also display an effector memory phenotype, characterized by CD27−, CCR6+, and CD45RA− surface markers. Another marker that commonly appeared was RORγt, a transcription factor that plays an important role in Th17 differentiation (26). Collectively, these pro-tumor γδ T cells can be characterized overall as IL-17 capable (RORγt+), effector memory (CD27− CCR6+ CD45RA−) cells. This phenotype is markedly different than a sizable portion of Vγ4+ or Vγ1+ γδ T cells in mice or Vγ9+Vδ2+ γδ T cells in humans found under homeostatic conditions which express a “naïve-like” phenotype being either CD44−CD62L+ or CD45RA+CD27+, respectively (27). Furthermore, some of these pro-tumor γδ T cells bear Treg-like or Th2-like phenotype which will be explored further in the next section (4,11).
The differences between human and mouse pro-tumor γδ T cells lies in Vγ TCR usage and the cytokines they produce. The main immunosuppressive subset in humans is Vδ1+ whereas in mice it can either be Vγ1+, Vγ6+, or to an extent Vγ4+. In mouse B16 melanoma models, Vγ4+ and Vγ1+ subsets play opposing roles within the tumor microenvironment (5). Interestingly, the IL-4 producing Vγ1+ subset suppressed the anti-tumor capabilities of the Vγ4+ subset and promoted tumor growth. However, other models, namely the hepatocellular carcinoma and the pancreatic ductal carcinoma (PDA) models, have found the Vγ4+ population to be the main secretor of IL-17 in the tumor microenvironment (8,28). This discrepancy is likely due to the heterogeneity of Vγ4 T cells and types of cancer.
Regulation of γδ T Cells in the Tumor Microenvironment
With γδ T cells straddling the line between the innate and adaptive immune systems, it is important to look at different mechanisms of regulation within tumors. Specifically, are these cells being regulated through antigen recognition in their TCR, cytokine stimulation, or both? This section will focus on the two main ways by which γδ T cells are regulated in the tumor microenvironment.
Regulation via Secreted Cytokines
It was previously thought that a large fraction of mouse γδ T cells are pre-programmed in the embryonic thymus, prior to birth, to either secret IL-17 or IFN-γ (29–32). However, Bruno and Chien found that some cell populations of mouse γδ T cells can be induced in the periphery (31,33,34). Using breast cancer models, Coffelt et al showed that treatment with IL-1β neutralizing antibody decreases levels of IL-17 in the spleen, blood, LN, and lungs. His previous work confirmed that tumor-infiltrating γδT17 cells were the main producers of IL-17 within these tissues (6).
These findings are akin to those found by Carmi et al. in Lewis Lung Carcinoma metastatic models where they found IL-1β to be critical for γδT17 cell responses (35). Similarly, in vitro blockade of IL-6, TGF-β and IL-23 in tumor homogenate showed reduced numbers of γδT17 cells suggesting these factors could play a role in driving IL-17 production by γδ T cells. IL-6 was also found to be a critical recruiter and regulator of γδT17 cells in spontaneous pancreatic Kras models (36). These and many other studies found that γδT17 cells within the tumor microenvironment participate in a positive feedback loop in which γδT17 cells mainly recruit cells capable of further propagating their own immunosuppressive responses. For example, in an ovarian cancer study, the inflammatory macrophages induced by γδT17 cells could in fact produce TGF-β, IL-6 and IL-1β to increase further γδT17 cell responses by stimulating both proliferation of γδT17 cells as well as their IL-17 production (3). Another key example is the study performed by Ma et al. using hepatocellular carcinoma to show that γδT17 cells are induced by IL-1β and IL-23 from IL-17 recruited MDSCs in a positive feedback mechanism (8).
Regulation by microbiota and PAMP engagement
Since many γδ T cell populations locate at epithelial barriers, it is important to investigate how the microbiota influence γδ T cell function. In a spontaneous lung cancer model, Cheng et al. found that antibiotic treatment reduced IL-6 and IL-23 responses thereby suppressing γδT17 cells capabilities to secrete IL-17 and hamper anti-tumor responses (37). Using tissue samples from colorectal cancer patients, we showed that inflammatory DCs stimulated by bacterial products from a leaky colon epithelial barrier could produce IL-23 thus driving Vδ1+ γδT17 responses with the production of IL-17, GM-CSF and IL-8 (7).
In an alternative mechanism that enhances the non-specific, innate like capabilities of γδ cells, bacterial PAMP engagement can propagate a non-IL-17 dependent, γδ T pro-tumor effector function (11,24). Specifically, it was found that bacteria-activated MDSCs induce γδ T cells to produce galectin-1 through TLR5 (PAMP receptor for flagellin). Galectin-1 was shown to induce apoptosis on effector Th1 and CD8 T cells while enhancing the suppressive activity of Tregs. In the same study, Rutkowski et al. also found that increased expression of galectin-1in γδ T cells negatively correlates with 5-year survival rates within ovarian cancer patients without the TLR5 defective polymorphism (24).
More investigation on how microbiota regulate γδ T cells in cancer is necessary to determine to what extent the development of pro-tumorigenic γδ T cells is dependent on tumor infiltration of microbiota and other microbial interactions. Some bacterial products have already been shown to be important in promoting γδT17 responses in human colorectal and lung cancer (7,35,37). These studies are less surprising as it is well known that bacteria can induce the production of IL-1β and IL-23 which are key modulators of γδT17 IL-17 responses. However, it has yet to be elucidated as to whether bacteria can modulate γδT17 responses by other means than cytokine secretion and PAMP engagement. Understanding how γδT cells are regulated in the tumor microenvironment and determining whether they can be “re-educated,” as is possible with other pro-tumorigenic immune populations such as Tregs, MDSC and TAMs, is critical for improving the success of future immunotherapies targeting tumors where these cells are abundant and potent inducers of tumor growth and progression.
Tumor Promotion by of γδ T Cells
In this section, we discuss the downstream effector functions of tumor promoting γδ T cells through four independent mechanisms namely, IL-17a production; γδTreg-like and γδTh-2-like activity; inhibition of dendritic cell effector function; and PD-1/PDL-1 immune checkpoint inhibition.
γδ T cells promote tumor progression via IL-17-a-mediated immunosuppression
The promotion of tumor progression by IL-17 is multi-faceted. In many types of tumors, including pancreatic adenocarcinoma; hepatocellular carcinoma; and non-small cell lung, colorectal, and breast cancers, increased levels of IL-17 are associated with metastasis and poor prognosis (38) (8) (7). The consensus among the literature points to two main mechanisms by which IL-17 can influence tumor progression and metastasis: recruitment of immunosuppressive cell types like MDSCs and tumor infiltrating neutrophils, and increased angiogenesis (39). Wu et al. show that IL-17 γδ T cell infiltration is indicative of tumor progression and metastasis in human colorectal cancer patients (7). They found that inflammatory DCs stimulated by bacterial products produce IL-23 driving Vδ1+ γδT17 responses with the production of IL-17, GM-CSF and IL-8. This IL-17, GM-CSF and IL-8 production led to increased infiltration of PMN-MDSCs correlating with further cancer progression. He and colleagues showed that IL-17 is necessary for both the recruitment and development of immunosuppressive MDSCs as IL-17-deficient mice showed a decrease in the ability of MDSCs to suppress CD8+ T cell proliferation (40). More recently, Coffelt and colleagues identified tumor-infiltrating neutrophils within a breast cancer model that were regulated by IL-17 and capable of suppressing CD8+ T cell activation (41). IL-17 depletion in these mice showed a decreased number of circulating cKIT+ neutrophils and decreased metastatic tumor burden.
Another main way IL-17 has been shown to perpetuate tumor progression is via angiogenesis. In both a MCA induced fibrosarcoma model and ID8 ovarian tumor model, it has been shown that IL-17 markedly increases the transcription of pro-angiogenic factors, Angiopoietin-2 (Ang-2) and vascular endothelial growth factor (VEGF) within the tumor (3,39). Similarly, a deficiency in IL-17 resulted in decreased vascular density and arrest of tumor growth. The second mechanism of angiogenesis was proposed by Numasaki and colleagues who showed increased secretion of angiogenic CXC chemokines CXCL1, CXCL5, CXCL6, and CXCL8 in three different non-small cell lung carcinoma cell lines in the presence of IL-17a (42,43).
γδ T cell suppression through mimicry of Treg and Th-2-like activity
Treg and Th2 cells have distinct immunoregulatory capabilities, mediated in particular by the characteristic cytokines these cell types secrete. γδ T cells portray a Treg like phenotype by having the capability to produce more conventional suppressive cytokines including IL-10 and TGF-β in order to inhibit αβ T cell immune responses (10,28,44–46). In mice, an accumulation of IL-10 and TGF-β producing γδ T cells resulted in much lower adaptive and NK anti-tumor responses (46). Using rejection models, including the transplantation of tumors derived from one strain onto another background, it has been shown that the suppressive capabilities of IL-10+ γδ T cells can in fact inhibit rejection of the tumor by the adaptive and anti-tumor γδ T cell immunosurveillance (45).
Similarly, through their ability to secrete IL-4, γδ T cells have been show to adopt a Th2-like phenotype. For example, within the context of a melanoma mouse model, Hao and colleagues found a Vγ1+ population capable of suppressing anti-tumor Vγ4+ γδ T cells through production of IL-4 (4). This Th2-like phenotype was further confirmed by demonstrating that these particular cells expressed high levels of GATA-3, a transcription factor driving Th2 immunity known to be particular powerful in promoting tumor progression and suppressing anti-tumor immune responses. In humans, elevated levels of IL-4 have been found in the microenvironment of a variety of different cancers including renal cell cancer, non-small cell lung cancer, prostate, colon, and breast cancers (44). Unsure of how this affects γδ T cells, Mao and colleagues challenged human peripheral blood samples with IL-4. Interestingly, the results showed that IL-4 stimulation led to an increased absolute number and ratio of Vδ1+ to Vδ2+ cells. Furthermore, following IL-4 stimulation, the Vδ1+ cells increased their IL-10 secretion resulting in inhibited in vitro expansion of the Vδ2+ γδ T cells, cells known for their potent anti-tumor killing capabilities (44).
Determining the downstream roles of pro-tumor γδ T cells that are immunosuppressive is critical considering they can affect the use of immunotherapies. Traxlmayr et al. found during clinical trial studies that DC production of IL-12 and pyrophosphate activation can in fact induce regulatory γδ T cell responses capable of hampering the proliferative capabilities of tumor-specific CD4 and CD8 T cells (47). A recent study demonstrated that tumor-infiltrating CD39+γδ T cells have potent immunosuppressive activity via secretion of adenosine in human colorectal cancer (48). More investigation is needed to better characterize which γδ T cell populations are capable of becoming regulatory and how these suppressive populations operate in situ.
Interface between γδ T cells and DC results in Senescence
Dating back to 1989, Patel et al. were the first to describe a suppressive effector function for γδ T cells in vitro (49). Since then much work has focused on studying the duality of immunoregulatory versus pro-inflammatory γδ T cells. In 2007, Peng et al. were first to find an immunoregulatory Vδ1+ γδ T cell population in human breast cancer (50). Co-culture of BTIL31 γδ T cells with DCs resulted in their decreased expression of maturation markers like CD86, CD80, and CD83. Additionally, co-cultured DCs were incapable of stimulating naïve CD4+ T cells following LPS stimulation. In a later paper, Peng and colleagues expanded upon this finding by showing γδ T cell induced senescence in DCS as measured by increased SA-β-galactosidase (senescence associated β-galactosidase) expression (51). These DCs again showed decreased markers of maturation, decreased cytokine secretion capabilities, and decreased antigen presentation capacity. Additionally, CD4+ and CD8+ T cells co-cultured with tumor derived γδ T cells also showed upregulation of SA-β-galactosidase expression as well as increased negative regulatory functioning as measured by IL-10/TGF-β secretion and inhibition of responding CD4+ cells. These findings suggest that tumor-programmed γδ T cells use senescence as one mechanism to control anti-tumor immune responses within the tumor microenvironment.
Emerging Regulatory Role of γδ T cells via Modulation of PD-1/PDL-1
The immune checkpoint molecules, PD-1 and its ligand PDL-1/2, are one of the main regulatory mechanisms of pro-tumor immunity with the ability to inhibit the effector function of T cells and to perpetuate the development of Tregs. Since the response rate for PD-1/PDL-1 therapy still hovers around 40% with a large proportion of partial responders, further investigation into the mechanisms modulating the PD-1/PDL-1 axis is warranted (52,53). Recent studies using both a breast and colorectal cancer model have shown that a saturated IL-17a tumor microenvironment can cause upregulation of PDL-1 expression on the tumor cells themselves and tumor infiltrating inflammatory DCs (54) (7). However, little is known about the expression profile of PDL-1/PD-1 on tumor-associated γδT17 cells and whether these cells themselves can increase expression of immune checkpoint molecules thereby directly modulating the tumor microenvironment.
Daley et al began to probe for an answer to this question using a murine model of PDA and human PDA tissues (28). PDA proves to be a useful model for studying tumor associated effects of γδ T cells because up to 75% of all CD3+ cells within human PDA tissue are γδ T cells. Further phenotyping of these cells demonstrated a unique T effector memory profile expressing higher FasL, NK1.1, CD39, CD44, JAML, OX40 and Vγ4+ as compared to the spleen control tissue. Depletion of these cells resulted in decreased ductal dysplasia and fibrosis along with a massive influx of CD4+ and CD8+ cells with restored functionality as assessed by increased TNF-α and IFN-γ production. In vitro studies suggested that tumor-infiltrating γδ T cells inhibited αβT cell activation via PD-1/PD-L1 ligation. Addition of α-PD-L1 antibody to the WT model system restored CD4+ and CD8+ T cell functionality in a manner similar to γδ T cell ablation. However, PD-L1 blockade failed to induce tumor protection in TCR δ-deficient mice with no enhanced CD4+ and CD8+ T cell infiltration. Therefore, via cell-to-cell contact by PD-L1, tumor infiltrating γδ T cells are capable of restraining αβ T cell activation thus promoting tumor progression.
Conclusion Remarks
It has been shown that within the tumor microenvironment, γδ T cells are functionally multifaceted and compositionally heterogeneous. These pro-tumoral γδ T cells are regulated and exhibit their tumor-prompting activity via multiple mechanisms (Figure 1). Much of what we know about γδ T cell polarization and plasticity exist from in vitro manipulation studies which provide little insight into how γδ T cells are regulated in the exceedingly complex tumor microenvironment.
Figure 1. γδT cells in cancer.
γδT cells in cancer can be regulated through cytokines, microbiota, and PAMP engagement for expansion and differentiation within the tumor microenvironment. These pro-tumor γδT cells promote tumor progression and metastasis via induction of immunosuppression and angiogenesis by cytokine secretion, mimicking Treg/Th2-like activity, interfering with DC effector function, and directly inhibiting antitumor adaptive T cell immunity. MDSC, myeloid-derived suppressor cells; PAMP, pathogen-associated molecular patterns, PD-1, program death-1; PD-L1, program death ligand-1; TAM, tumor-associated macrophages; TGF-β, transforming growth factor β; TLR, toll-like receptor; Treg, regulatory T cells.
The tumor microenvironment and how it can regulate γδ T cells with differential and still unknown means is an important factor to consider for both their potential use in the future as an immunotherapy as well as their increasing abundance within the pool of tumor infiltrating lymphocytes. One question that needs addressing is whether γδ T cells in vivo are able to switch effector phenotypes according to the changing inflammatory environment (see outstanding questions). This is an important issue when using this potent effector population as an immunotherapy against cancer. Expanded in vitro, γδ T cells are characterized as cancer killing effector cells; however, once injected in vivo they are subjected to the dysfunctional and unpredictable tumor microenvironment. In the future, TCR repertoire sequencing combined with in vivo imaging and flow cytometric analysis of biopsies can be used to determine how these cells behave once subjected to the tumor microenvironment.
Outstanding Questions.
Are γδ T cells plastic and able to switch their effector phenotypes in vivo according to the differential inflammatory environment?
How does the microbiota regulate γδ T cells in cancer and to what extent are pro-tumorigenic γδ T cells dependent on the microbiota interaction for their differentiation and effector function?
Can targeting of protumoral γδ T cells augment efficacy of cancer immunotherapies?
Investigations into tumor promoting γδ T cells have provided many potential new targets for the development of new drugs and immunotherapies against cancer. IL-1β, IL-23, IL-17 and GM-CSF could be useful targets when addressing highly suppressive MDSC infiltration and angiogenesis since these are major players in tumor progression. For cancers where γδT17 cells are not the primary γδ T cell subset then targeting molecules like PD-L1, galectin-1 and IL-4 might prove essential in helping the adaptive anti-tumor immune responses overcome immune evasion and escape by the cancer. Current studies also propose that protumoral γδ T cells may be closely related to immunocheckpoint blockade resistance. Thus combining approaches targeting protumoral γδ T cells with immunocheckpoint blockade therapy may significantly improve cancer patient response rate and long-term survival. It is also possible that protumor γδ T cells can be used as a biomarker for patient selection and treatment response monitoring.
Microbiota-host interaction is another key factor that can be very important in the future of cancer research and oncology care. This is especially true for the many types of epithelial tumors located at the host-environment interface. We have already begun to see the effects that microbiota play on driving γδ T-dependent tumor development and progression in both murine models and patients. The host-microbiota interaction and how this regulates γδ T cells will provide much needed additional answers as to how γδ T cells are regulated during health (55) to then better understand how to restore proper functioning in disease. Understanding γδ T cell homeostatic regulation will provide information needed to prevent cancer development. γδ T cells provide protection from carcinogenesis so we can use preventative care to support these processes. As we continue to deepen our understanding of who these cells are, how they are regulated and what their specific role is in driving cancer progression, novel approaches may be developed to specifically target these unexpected drivers of cancer development and progression.
Trends Box.
An immunosuppressive tumor microenvironment (TME) poses a significant challenge for effective tumor immunotherapy.
Innate γδ T cells within the TME are critical drivers of tumor progression and metastasis.
Protumoral γδ T cells have distinct phenotype and unique regulatory pathways that promote tumor development.
Footnotes
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