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Review

MAIT Cells: Partners or Enemies in Cancer Immunotherapy?

by
Dasha T. Cogswell
1,*,
Laurent Gapin
2,
Heather M. Tobin
3,
Martin D. McCarter
1 and
Richard P. Tobin
1,*
1
Department of Surgery, Division of Surgical Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
2
Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
3
Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
*
Authors to whom correspondence should be addressed.
Cancers 2021, 13(7), 1502; https://doi.org/10.3390/cancers13071502
Submission received: 22 February 2021 / Revised: 19 March 2021 / Accepted: 22 March 2021 / Published: 25 March 2021
(This article belongs to the Special Issue Innate T Cells in Cancer Immunity)
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Abstract

:

Simple Summary

Unconventional T cells have recently come under intense scrutiny because of their innate-like effector functions and unique antigen specificity, suggesting their potential importance in antitumor immunity. MAIT cells, one such population of unconventional T cell, have been shown to significantly influence bacterial infections, parasitic and fungal infections, viral infections, autoimmune and other inflammatory diseases, and, as discussed thoroughly in this review, various cancers. This review aims to merge accumulating evidence, tease apart the complexities of MAIT cell biology in different malignancies, and discuss how these may impact clinical outcomes. While it is clear that MAIT cells can impact the tumor microenvironment, the nature of these interactions varies depending on the type of cancer, subset of MAIT cell, patient demographic, microbiome composition, and the type of therapy administered. This review examines the impact of these variables on MAIT cells and discusses outstanding questions within the field.

Abstract

A recent boom in mucosal-associated invariant T (MAIT) cell research has identified relationships between MAIT cell abundance, function, and clinical outcomes in various malignancies. As they express a variety of immune checkpoint receptors and ligands, and possess strong cytotoxic functions, MAIT cells are an attractive new subject in the field of tumor immunology. MAIT cells are a class of innate-like T cells that express a semi-invariant T cell antigen receptor (TCR) that recognizes microbially derived non-peptide antigens presented by the non-polymorphic MHC class-1 like molecule, MR1. In this review, we outline the current (and often contradictory) evidence exploring MAIT cell biology and how MAIT cells impact clinical outcomes in different human cancers, as well as what role they may have in cancer immunotherapy.

1. Introduction

Mucosal-associated invariant T (MAIT) cells are a class of innate-like T cells that exist in a pre-primed memory state and express a semi-invariant T cell antigen receptor (TCR) that recognizes microbially derived non-peptide antigens presented by the non-polymorphic MHC class-1 like molecule, MR1 [1]. With MAIT cells possessing many functions often associated with successful antitumor immune responses, they represent an attractive population to explore with respect to their potential roles in antitumor immunity. However, MAIT cells are a controversial topic in the field of tumor immunology with studies showing conflicting results in regard to whether they contribute to tumor growth, tumor regression, or play a neutral role in human cancers.
Early investigations of MAIT cells in cancer suggested they may represent a potential positive prognostic indicator. Indeed, screening of ~18,000 human tumors across 39 malignancies found a significant association of the KLRB1 gene (encoding CD161, a marker of MAIT cells) and favorable prognosis [2]. However, CD161 is also expressed on other immune cells, including conventional CD8+ T cells and natural killer (NK) cells [3], rendering the association with MAIT cells uncertain. Since then, other MAIT cell signatures have been used to examine the potential role, if any, that MAIT cells might play in tumor immunology. The results suggest that MAIT cells may play a significant role in tumor immunity, however considering recent discoveries as well as the other studies reviewed below, that role appears to be complex and often contradictory. In this review, we outline MAIT cell interactions with different types of cancers, focusing on studies in human cancer patients, and attempt to understand the future therapeutic potential of MAIT cells.

2. MAIT Cell Basics

2.1. Identification, Prevalence, and Development

Human MAIT cells express the TCR gene segment Vα7.2 (also known as TRAV1-2) joined to Jα33 (also known as TRAJ33) and a restricted repertoire of TCRβ chains [1,4]. Initial studies relied on antibodies specific for the Vα7.2-Jα33 TCR and the CD3 co-receptor, with a combination of various surface proteins, such as CD161, CD26, CD218 (IL-18 receptor), and MDR1 for the identification of MAIT cells [5,6,7,8,9,10,11,12,13,14,15] (Figure 1). However, MAIT cells are currently identified using MR1 tetramers loaded with the bacterial ligand 5-(2-oxopropylideneamino)-6-D-ribitylaminouracil (5-OP-RU) (MR1-tet) [16,17]. The differences in which markers were used to identify MAIT cells complicates the interpretation of some of these results. Most studies used a combination of Vα7.2-Jα33, CD3, CD161, with only a handful using the MR1 tetramer for a definitive identification [18,19,20,21,22,23,24]. The introduction of the MR1 tetramer has allowed for improved accuracy in identifying MAIT cells, as there are cells that express the Vα7.2 TCR, as well as CD161, that do not recognize MR1 antigens and are not MAIT cells [25].
MAIT cells are divided into subsets based upon the expression of the CD4 and CD8 co-receptors. The most common subset is CD4−CD8+ MAIT cells, constituting approximately 80% of total circulating MAIT cells in healthy adults [26]. The CD4−CD8− subset constitutes about 15% of the total MAIT cells, and CD4+CD8− and CD4+CD8+ subsets represent less than 5% of total circulating MAIT cells [26]. It is evident that results vary depending on which subset of MAIT cell is analyzed. In the studies discussed below, only five evaluated the frequency and/or function of the CD4+ MAIT subset [9,12,20,21,27] (Table 1). Studies that only report the activity of CD8+ MAIT cells may be overlooking this important subset that could enhance our understanding of MAIT cell biology in cancer patients. The functional differences and post-stimulatory effects of each subset have yet to be fully elucidated, but it is likely that they have varying roles to play in tumor immunity.
MAIT cells can also express certain transcription factors making them distinct from other conventional CD4+ and CD8+ T cells, such as promyelocytic leukemia zinc finger protein (PLZF) (encoded by ZBTB16), eomesodermin (encoded by EOMES), RAR-related orphan receptor γt (RORγt) (encoded by RORC) and T-bet (encoded by TBX21) (Figure 1). In mice, different functional subsets of MAIT cells have been found based on distinct expression of T-bet and RORγt, respectively. T-bet-expressing MAIT1 cells predominantly produce IFN-γ upon stimulation, while RORγt-expressing MAIT17 cells are biased towards IL-17 production [29]. Similar patterns have been found in humans [30,31], however, confirmation of such functionally specialized subsets requires further analysis. Despite their expression of RORγt, human MAIT cells mostly produce IFN-γ when stimulated [15,32,33], and further studies are required to precisely determine what circumstances lead to IL-17 production.
MAIT cells specifically recognize metabolic intermediates generated by microbial riboflavin biosynthesis, which play an essential role in MAIT cell development, activation, maintenance, and proliferation. MAIT cells are selected in the thymus on double positive thymocytes in an MR1-dependent fashion, and then proliferate in the periphery when exposed to microbial antigens, often from host microbiota [34]. In humans, MAIT cells were first described in the intestinal mucosa and liver [35]; however, they can be found in many other organs, constituting up to 10% of circulating CD8+ T lymphocytes and 5% of total blood T cells in healthy adults [17,36]. Due to their significant enrichment in mucosal tissues, it was initially believed that MAIT cells would primarily be involved with mucosal protection against viral or bacterial pathogens, however as our understanding of MAIT cells has evolved, it is clear that they are an abundant cell population possessing many different functions, some of which have undoubtedly yet to be discovered.
In addition to changes within anatomical site, age-related decreases are observed, with MAIT cells expanding in the periphery until approximately age 25, and then steadily decreasing over time until they comprise less than 1% of total T cells at age 70 [37,38,39]. In human fetal tissues, MAIT cells are enriched in the small intestine, liver, and lung, and proliferate rapidly when exposed to bacterial antigens. It is in the fetal mucosa that MAIT cells acquire an innate response to bacterial stimuli before they are exposed to commensal microbiota or environmental microorganisms, a mechanism in place to potentially help newborn immune systems distinguish between commensal and pathogenic microbes [40]. The mechanism behind this is still unclear, as it has not been shown whether fetal MAIT cell development happens through an endogenous MR1 ligand or from commensal bacterial metabolites released from maternal sources [40]. After birth, a critical period exists in which riboflavin-producing microbial exposure to MAIT cells is essential for proper development, as studies have shown that microbe colonization in older germ-free mice does not promote healthy MAIT cell development [41]. Bacteria capable of riboflavin biosynthesis are necessary for MAIT cell development, as mice lacking these bacteria also lack MAIT cells [34,42]. These observations highlight an important role for the microbiome and microbiota-derived products in the development of a healthy and immunocompetent organism.

2.2. Antigen-Specificity and Activation

There are several different microbially derived antigens that, when bound to MR1, are capable of either enhancing or inhibiting MAIT cell activation [43,44,45,46]. Strong activators include the compound 5-OP-RU as the most potent activator (Figure 2A), while 6-formyl pterin (6-FP), a formic acid metabolite, is often cited as an inhibitor of MAIT cell activation [16,43,45,47]. In addition to MR1-dependent activation, MAIT cells can be activated in an MR1-independent manner from virally infected cells or other immune cells via the cytokines IL-12, IL-18, and IL-15, with IL-15 activation dependent on the presence of IL-18 [48,49] (Figure 2B).
To date, no endogenous (host-derived) ligands have been identified that activate MAIT cells in an MR1-dependent or independent manner, however the thymus of germ-free mice is still able to select MAIT cells during development (even though the process is impaired) [32], hinting at the existence of such ligands. Additionally, supporting this theory is the presence of low-level endogenous cell surface expression of MR1 in humans and human cell lines [45,50]. As MR1 is stored in the endoplasmic reticulum until a ligand binds prompting its migration to the surface of the cell [51], this observation questions the source and identity of this ligand.
In humans, 80–90% of MAIT cells are skewed towards Th1-like functions, rapidly secreting IFN-γ and TNF-α upon activation [33,52]. These T-cell derived cytokines are often been associated with a better prognosis in most cancers [53]. In contrast, a relatively small population (~3%) of MAIT cells produce Th17/Th2-like cytokines including IL-17, which can have both pro-tumor and anti-tumor effects [52,54,55,56,57,58,59]. There is evidence indicating that IL-17 can promote tumor proliferation [60,61], angiogenesis [62,63,64], metastasis [65], and invasion [65], as well as enhance immune evasion by tumor cells [59]. Furthermore, a high Th1 to Th17 ratio has also been associated with a better prognosis for patients with colorectal cancer [66]. Conversely, evidence also shows IL-17 promotes migration of NK cells [67], neutrophils [68], and cytotoxic lymphocytes [69] to the tumor tissue and inhibits tumor cell invasion [70]. It is important to note that quantities of IL-17 are correlated with poor prognosis while high Th17 cell frequencies are correlated with improved prognosis, possibly explaining these discrepancies and highlighting the need to differentiate between Th17 and IL-17 producing cells [71].

2.3. TCR-Dependent Activation vs. TCR-Independent Activation

The manner in which MAIT cells are activated results in distinct transcriptional programs. TCR-dependent activation results in increased expression of RORγt [30,31], which is consistent with the mouse data showing an RORγt-based IL-17 bias [15], but there are conflicting reports showing both TCR-dependent increases and decreases in PLZF and T-bet [30,31], limiting the translatability from mice (Figure 2A). In TCR-independent activation, elevated expression of T-bet has been shown, again consistent with the mouse data showing a T-bet-associated IFN-γ bias (Figure 2B). PLZF levels in TCR-independent activation, again with conflicting reports, are unclear [30,31] (Figure 2B). These changes in transcriptional profile result in distinct activation-dependent cytokine profiles. When MR1 is engaged, MAIT cells predominantly release TNF-α and IL-17a, while under IL-12/IL-18 activation MAIT cells mostly release IFN-γ (Figure 2) [30,31]. It is unknown whether MAIT cells can shift between these two phenotypes or what may influence such changes.
Both TCR-dependent and TCR-independent modes of activation can trigger degranulation (as measured by degranulation marker CD107a) [30], releasing granzyme (GZM) A, GZMB, GZMK, GZMH, GZMM, and perforin on target cells [30,72] (Figure 2). Notably, granzyme A and K were downregulated in MAIT cells stimulated with E. coli or 5-A-RU (5-amino-6-D-ribitylaminouracil, the precursor to 5-OP-RU) (Figure 2A) but upregulated in response to IL-12+IL-18 treatment, and both activation modes upregulated secretion of GZMB, GZMH, and perforin [30] (Figure 2B). Further, TCR-independent activation can also release GZMM (Figure 2B). GZMK is of particular interest in MAIT cell research because it has the potential to induce apoptosis in a caspase-independent manner [73]. As tumor cells often become resistant to typical apoptotic pathways [74], this observation makes MAIT cells an intriguing potential ally for cancer immunotherapy.
A unique property of TCR-dependent activation is the capacity to secrete molecules to mediate tissue repair [75], underscoring the importance of the microbiota in promoting tissue homeostasis (Figure 2A). Damage to the mucosal barrier, and subsequent exposure to microbes, can recruit MAIT cells to the damaged site and drive secretion of tissue repair molecules like VEGF, TGFβ, HIF1α, FURIN, PTGES2, and PDGFB [75]. In mice, TCR-activated MAIT cells were able to accelerate wound closure, which was further strengthened by the topical application of 5-OP-RU [41]. If malignancies are viewed as a “wound” in the body, MAIT cells may help with immune surveillance in part through this mechanism.

3. MAIT Cells and Cancer

3.1. Mucosal-Associated Cancers

As microbial ecosystems and MAIT cells are so prevalent in mucosal tissues, researchers have taken a great interest in the role of MAIT cells in these types of cancers. Several studies of colorectal cancer (CRC) patients have found increased frequencies of MAIT cells within malignant tissues compared to healthy adjacent tissue [6,7,8,9,10], with corresponding decreases in the circulation [9,10], suggesting infiltration and accumulation of MAIT cells into the disease site (Table 1). However, other studies looking at CRC metastases found decreased frequencies of MAIT cells in liver metastases of CRC patients compared to healthy adjacent liver tissue [23] (Table 1). This could indicate that there are differences in MAIT cell infiltration of primary tumor versus metastatic sites, or that perhaps the primary tumor in CRC houses more MAIT cell-activating bacterial products than liver tissue. It is also possible that MAIT cells in the metastases are exhausted or rendered ineffective. In any case, more research on this topic is required.
Once activated, tumor-infiltrating MAIT cells display decreased IFN-γ and TNF-α production, with corresponding increases in IL-17 production [7,9,23] (Table 1) (Figure 3). IL-17 has a complicated function within the tumor microenvironment (TME), as it is known to aid in wound healing as well as contribute to tumor angiogenesis [59,76]. Another cytokine recently discovered to be secreted by chronically activated MAIT cells is IL-13 [77] (Figure 3), which has properties similar to IL-17, in that IL-13 can also promote tumor growth and is an important player in tissue repair. In mucosal cancers, tumor growth can cause intestinal barrier damage, which could be part of the reason that IL-17 and IL-13 are initially released and then contribute to the tumor-promoting qualities of the TME.
In mice, MAIT cells display a bias toward IL-17 production in mucosal tissues [29]. If this is also true in humans, it could explain the variability seen in mucosal malignancies versus other types of cancers. In addition, bronchoalveolar MAIT cells from children with severe pneumonia produced more IL-17 than either less severe cases or from circulating MAIT cells [78]. It is currently not clear whether the release of IL-17 is a direct result of chronic activation, severity of illness, location in the body, a part of the normal sequence of MAIT cell maturation, or a combination of these factors.
A recent CRC study noted that the tumor-residing MAIT cell exhausted phenotype is characterized by TCR-induced CD39 expression [24] (Figure 3). This is consistent with other work showing that chronic TCR stimulation on intra-tumoral MAIT cells leads to decreased responsiveness and upregulation of PD-1 and exhaustion markers CD39 and CXCL13, [79,80] (Figure 3), demonstrating tumor-infiltrating MAIT cell dysfunction associated with the TME.
The mechanisms resulting in MAIT cell activation within the TME are still not fully understood. It has been suggested that because CRC tumors are in close contact to the microbe-inhabited layers of the intestinal tract, the damage to the intestinal barrier caused by tumor growth could initiate a TCR-dependent, riboflavin-induced response in tissue-resident or infiltrating MAIT cells [8,77]. If this is the case, it could explain why tumor-infiltrating MAIT cells are observed in a chronic state of activation and exhaustion, perhaps contributing to the detrimental TME-induced changes in MAIT cell functionality. There is less evidence for activation via a tumor-derived antigen, but this possibility cannot be excluded, and these antigens, if discovered, would provide ideal targets for immunotherapies. However, IL-12 and IL-18 are present in colon and CRC tissue [81], so TCR-independent activation is possible as well, if not a combination of all of the above. Future studies investigating pre-cancerous colon polyps and patient progression/survival data may shed some light on the roles MAIT cells play in CRC progression.
Studies investigating esophageal cancers also observed decreased MAIT cell frequencies in the blood, with increased frequencies within esophageal tumors, as well as reduced expression of IFN-γ and TNF-α and no changes in IL-17 [14] (Table 1). Interestingly, this study found the risk of death was inversely correlated with the frequency of MAIT cells within the TME [14], indicating that, in this case, MAIT cell infiltration may assist in immune surveillance. Links have also been made between microbiome composition, antibiotic use, and the severity of esophageal cancers, suggesting that bacteria inhabiting the esophagus could impact the MAIT cell response to esophageal cancer cells [82]. Analyses of data from The Cancer Genome Atlas (TCGA) associated high MAIT cell gene signatures with improved overall survival and progression free survival in esophageal cancer patients [80]. However, this same analysis found worse overall survival in patients diagnosed with CRC and lung squamous cell carcinoma with increased MAIT cell signatures [80].
There is conflicting evidence regarding cervical cancer (CC), as some report decreased MAIT cells in the blood [13] and others report increased MAIT cells in the blood of CC patients [27] compared to healthy individuals (Table 1). In addition to more total MAIT cells, the latter study also found increased CD8+ MAIT cells, CD4+ MAIT cells, and highly activated CD38+CD8+ MAIT cells in CC patients [27] (Figure 1, Table 1). Additionally, a positive correlation was found between total MAIT cells and myeloid-derived suppressor cells (MDSCs) [27], a class of cells that have been shown to suppress cytotoxic abilities [83] and proliferation of T cells [84], positively correlate with tumor burden [84], promote disease progression [83], and decrease the overall survival of melanoma patients [83]. It has been hypothesized that MAIT cells, via secretion of IL-17 and/or other pro-inflammatory cytokines, could attract MDSCs and cause accumulation in the tumor site [85]. However, less double negative (DN) MAIT cells and PD-1+DN MAIT cells were found in these patients, and there was a positive association between high circulating PD-1+ DN MAIT cells and progression free survival (PFS). These findings are a strong reminder that there are not yet clear tumor-promoting or tumor-killing distinctions, and MAIT cell effects on tumor progression and survival change based on the subset or tissue analyzed.

3.2. Hepatic Cancers

Hepatocellular carcinomas (HCC) generally exhibit decreased MAIT cell frequencies compared to healthy adjacent liver tissue [11,19,80], with corresponding decreases in peripheral circulation [19,80], contrary to the mucosal cancers discussed above (Table 1). A possible mechanism accounting for this observation could be via the migratory receptors CCR9, CCR6, and CXCR6 which are significantly downregulated on MAIT cells in the circulation and TME in patients with HCC (Figure 1). Although MAIT cells in HCC patients already express lower levels of these receptors in peripheral blood compared to healthy donors, they are greatly reduced within the liver tissue and even further reduced near malignant liver tissue [19]. High levels of these receptors on T cells correlate with prolonged overall survival in melanoma patients [86], while mice lacking these receptors show enhanced tumor progression [86]. This could mean that the low levels observed in HCC may be representative of defective MAIT cell trafficking or a response to immunosuppressive signals from the TME. MAIT cells isolated from HCC tumor tissue support the latter hypothesis, expressing higher levels of inhibitory molecules such as PD-1, CTLA-4, TIM-3, and lower levels of IFN-γ, IL-17, granzyme B, and perforin [19] (Table 1, Figure 3). These cells also express more pro-tumor IL-8, which has been shown to recruit MDSCs to the TME [83] (Figure 3). Given the negative effects that MDSCs have on tumor progression, this observation presents an intriguing potential mechanism for the detrimental effects of MAIT cells in HCC.
When cultured in vitro with HCC cells, MAIT cells isolated from HCC tumors promote proliferation, invasion, and inhibit apoptosis in cancerous cells, a response contrary to results seen from a culture of MAIT cells derived from healthy donors [19]. These results show that the TME can induce markers of functional exhaustion, promote tumor angiogenesis, and cause defects in tumor killing capacity. Moreover, transcriptomic analyses revealed expression differences in tumor-infiltrating MAIT cells compared to non-tumor MAIT cells related to cytolysis, cytokine secretion, and metabolism of cholesterol and glucose, indicating again that both effector function and metabolic programming were affected within the HCC TME. Consistent with these findings, increased frequencies of MAIT cells within the tumor were associated with a poor prognosis [19].
The liver has a bi-directional relationship with the gut microbiota and a unique anatomical position, receiving portal blood directly from intestinal circulation and then releasing bile products back into intestines. Clinically, a strong link has been demonstrated in advanced liver disease between the gut microbiota composition and degree of hepatic encephalopathy and liver cirrhosis [87]. It is possible that in advanced cancers, the microbiome is interacting directly with the damaged hepatic tissue to pathogenically activate and exhaust MAIT cells, but this theory requires further investigation.

3.3. Blood Cancers

As B cells express some of the highest levels of cell surface MR1, multiple myeloma (MM) has garnered significant interest regarding MAIT cells [50]. MM patients have decreased levels of circulating MAIT cells [12,20] as well as decreased levels in the bone marrow compared to healthy controls [12,20] (Table 1). In addition, MAIT cells from patients newly diagnosed with MM had a decreased capacity to produce IFN-γ, similar to observations in other cancers. MAIT cells from Langerhans cell histiocytosis (LCH) tumors were also diminished in affected patient circulation in addition to decreased MAIT cells within the lesions [21], although MAIT cells appeared functionality unaltered (Table 1). One likely reason for the observed systemic decrease in MAIT cells is the generalized lymphocytopenia that accompanies blood cancers like MM [88]. It could also be that cancerous cells are replacing MAIT cells in the blood, or MAIT cell precursors are dying. Finally, there is evidence showing that MAIT cells themselves can become cancerous in peripheral T cell lymphomas (PTCLs). Two out of 26 cases of PCTLs were positive for PLZF staining, which were later defined as MAIT cells through identification of the TRAV1-2-TRAJ33 TCR-α rearrangement [89]. Although this cancer is rare, our increased knowledge of MAIT cell identification markers, function, activation-inducers, and inhibitors like 6-FP is paramount to our ability to treat these types of tumors.

3.4. Other Solid Tumors

An in vitro study culturing healthy breast MAIT cells with bacterially exposed breast carcinoma cells discovered an IL-17-biased response compared to breast MAIT cells that were stimulated with PMA-ionomycin, once more supporting the idea that the TME (or bacteria present in the TME) can alter the functionality of previously healthy MAIT cells [22] (Table 2). Other in vitro studies have shown the capacity of MAIT cells to induce cell cycle arrest [9] and cytotoxicity against MM cell lines [20] or myelogenous leukemia cell lines [10] (Table 2). While these experiments show that MAIT cells are capable of directly killing tumor cells, in vitro studies come with limitations, and there have been a lack of in vivo studies surrounding this topic.
A recent study in an in vivo melanoma mouse model found that, in contrast to the in vitro and ex vivo experiments, MAIT cells are responsible for initiating and expanding lung metastases via MR1 (Table 2) [18]. Metastases were reduced in MAIT cell-deficient MR1 knockout mice, and adoptive transfer of MAIT cells into MR1 knockouts increased lung metastases to levels similar to wild type mice, suggesting an MR1-independent mechanism. Furthermore, they suggest a mechanism that acts via a MAIT cell-dependent suppression of NK cell effector function and they highlight the potential of anti-MR1 therapy. Notably, MR1 knockout mice have been shown to have alterations in other cell types, such as γ𝛿 T cells, and mice as a species have a different MAIT subset abundance profile compared to humans [90]. As such, the results should be interpreted with caution when assessing the applicability to humans. When MAIT cells were studied in melanoma patients on anti-PD-1 therapy, high MAIT cell proportions were found in those responding to PD-1 therapy as opposed to patients who were not responding [28] (Table 1). MAIT cells from responders also had higher levels MAIT cells in the melanoma lesions than non-responders, as well as increased levels of GZMB [28] (Table 1), indicating that MAIT cells from responders have higher cytotoxic functions while circulating and infiltrating the tumor site.

4. MAIT Cells in Cancer Therapy

4.1. Chemotherapy

As other immune cells and conventional T cells are affected by chemotherapies and immunotherapies, several groups have characterized the impact of these treatments on MAIT cells. A study analyzing CD8+CD161highCD218high T cells found that these cells had the ability to rapidly efflux various chemotherapeutic drugs, suggesting these cells may be chemo-resistant [91]. Other studies found that MAIT cells are significantly more resistant to anthracycline-containing cytotoxic drugs compared to other CD8+ T cell subsets [36,92], attributing this resistance to expression of the multi-drug resistant transporter ABCB1 (also known as MDR1). High expression of this protein is a unique feature of MAIT cells [92]. Other studies have observed that after chemotherapeutic treatment with FOLFOX (comprised of drugs Folinic Acid, Fluorouracil, and Oxaliplatin), circulating MAIT cell percentages were either unchanged or significantly higher than they were prior to surgery [9,23]. As these are percentages instead of absolute values, it is unclear whether MAIT cells are expanding or other cells are decreasing in number [9,23]. These results could suggest resistance to cytotoxic chemotherapeutic drugs, but further investigation is warranted.

4.2. Immunotherapy

MAIT cells express many of the targets of immune checkpoint inhibitors, highlighting the potential importance of these cells in immune checkpoint therapy. MAIT cells express PD-1 in both blood and peripheral sites [93] and enhanced expression of PD-1 has been shown on CD4+ and CD8+ T cells in some cancer patients and other disease settings [94]. Increased PD-1 levels have been found on MAIT cells in the bone marrow and peripheral blood of newly diagnosed MM (NDMM) patients compared to healthy controls, and in vitro/in vivo PD-1 blockade experiments have demonstrated successful re-activation of MAIT cells and a significant reduction in mouse tumor burden (Table 2) [12].
Other studies of squamous cell carcinoma (SCC) and basal cell carcinoma (BCC) observed that tumor-residing MAIT cells upregulated expression of IFN-γ, GZM K, GZM A and GZM M following PD-1 blockade [80]. Additionally, higher MAIT cell proportions were recently found to correlate with better responses to anti-PD-1 immunotherapy, with MAIT cells from responders having a greater cytotoxic function [28]. These results suggest that the PD-1 pathway may be involved in mediating MAIT cell dysfunction in certain cancers, and that, in addition to its canonical role in antitumor immunity, anti-PD-1 therapy may restore the expression of certain cytotoxic genes.
Studies have found a significant association between immunotherapeutic responses and commensal microbiome composition, showing that responders to anti-PD-1 therapy have favorable microbiome compositions, and vice versa [95,96]. These studies suggest that microbial modulation of MAIT cells by riboflavin biosynthesis may provide the elusive mechanistic link between the gut microbiome and systemic responses to immunotherapies. In particular, several studies have identified Bifidobacterium longum (B. longum) as the key beneficial species, which interestingly is the only Bifidobacterium species to produce riboflavin [97]. In studies investigating the efficacy of anti-PD-L1 therapy, Bifidobacterium was most significantly associated with anti-tumor effects and most abundant in those who responded to anti-PD-1 therapy [98]. After administration of this bacteria to germ-free mice, this study observed improved tumor control similar to immune checkpoint blockade, and an almost complete tumor reversal when combining oral Bifidobacterium treatment with an immune checkpoint inhibitor [98,99]. Furthermore, low levels of B-vitamin producing bacteria have been associated with higher risks of immunotherapy-related adverse events [100] and less MAIT cell reconstitution in patients with blood disorders after a hematopoietic cell transplantation [101]. B. longum specifically correlated with higher MAIT cell counts in the blood and recovery of MAIT cells after the graft [101]. Ongoing human investigations of microbiome transfers will determine whether transferring microbiota specifically enriched for vitamin-B synthesis including B. longum improves the efficacy of immune checkpoint inhibitors via the increased frequency or activation of MAIT cells.

5. Future Directions

5.1. MR1-Directed and CAR-T Cells Therapies

Conserved, monomorphic receptors like MR1 as well as homogenous cell types like MAIT cells are attractive targets for adoptive cell therapies, seeking to selectively induce cell death of malignant cells while leaving healthy cells untouched. MAIT cells in particular are highly prevalent in human blood making for straightforward isolation, can respond in an innate-like fashion without priming, are at less risk for off-target effects due to the tight regulation of MR1 on the cell surface, and can be easily used to target mucosal tissues like the liver and lung due to their natural tropism for those tissues [102]. Thus far, studies have focused on adoptive therapy with conventional T cells that are restricted to one HLA allele [103,104]. As there is significant variation between individual’s HLA gene loci, many patients cannot benefit from these treatments because of mismatching HLA alleles. MR1 however, is highly conserved across individuals and expressed in every human tissue, presents completely different classes of molecules, and will primarily bind to MAIT cells, eliminating the need to engineer a new TCR for each patient with a different cancer type or HLA allele.
Before successful implementation of adoptive MAIT cell therapies, several potential hurdles must be addressed. First, to successfully direct MAIT cells toward tumors, a better understanding of the nature of disease-associated antigens and antigen/MR1 complexes that could be presented in MR1 is required. As MR1 can be expressed (in varying amounts) on the surface of all cells, examining which antigens are presented in healthy and diseased tissues will be important next steps. This knowledge could also help explain MAIT cell cytotoxic effects in vitro, or, considering the increased tumor growth observed in MR1-deficient mice [18], which tumor antigen might activate MAIT cells in a pro-inflammatory or tumor-promoting state. It will also be important to examine the functions of different MAIT cell subsets so that only the optimal cells are transferred.
MR1 is also an attractive target for future therapies. Non-MAIT, MR1-restricted T cells were recently shown to recognize and kill several varieties of tumor cells in an MR1-dependent manner [105]. These results further suggest the existence of tumor-derived antigens presented by MR1. However, whether such tumor-derived compounds also contain MAIT cell antigens is currently unknown [105]. Regulation of MR1 expression is not currently well described in healthy tissues or in tumor cells, and future therapies targeting MR1 will benefit from further understanding.
In addition to therapies using MAIT cells to directly target tumors via their endogenous TCR, MAIT cells may be an ideal host for chimeric antigen receptor (CAR)-T cell therapies [106]. As MAIT cells are highly capable cytotoxic cells with distinct tissue tropisms, redirecting these functions towards other antigens may provide new treatments for difficult-to-treat tumors.

5.2. Other Open Questions

In addition to the questions posed above, there are still many routes to take with MAIT cell research. If adoptive and/or CAR-T therapy is shown to be effective, combining adoptive MAIT cell therapies with anti-PD-1 immunotherapies may have powerful effects. Other ideas include using TCR-technology to target multiple receptors on the target cell, MR1 and other MHC-presented antigens, in order to prevent immune-escape of cancer cells [107]. MAIT cells also have yet to be fully investigated in other difficult-to-treat tumors, such as sarcoma, mesothelioma, and glioma, as well as other common cancers such as kidney and bladder cancers, leukemia, and prostate cancers. Considering that the function and prevalence of MAIT cells varies widely between different cancer types, it will be informative to fully investigate their role. Additionally, a better understanding of the associations between MAIT cells, cancer types, and prognosis could lead to the development of a new clinical biomarkers.
Other questions remain in understanding the degree of crosstalk between MAIT cells and other immune/non-immune cells and commensal microbes when activated under normal circumstances or within the TME. It is important to note that different subtypes of cells often have different functions, and that there are likely many MAIT cell subsets that have yet to be discovered or fully elucidated. Early studies of other immune cells, such as macrophages, initially showed similar discrepancies between studies until the M1 and M2 subsets of macrophages were discovered, demonstrating anti- and pro-tumor effects, respectively [108]. There is likely a similar pattern with MAIT cells, accounting for some of the variable results discussed in this review.
As shown in this review, there are considerable discrepancies regarding the role of MAIT cells in various malignancies, but it is clear is that they do have a role and warrant further investigation.

Author Contributions

Conceptualization, D.T.C., R.P.T. and M.D.M.; funding acquisition, L.G. and M.D.M., resources, L.G. and M.D.M.; investigation, D.T.C. and R.P.T.; writing—original draft preparation, D.T.C. and R.P.T.; writing—review and editing, D.T.C., R.P.T., M.D.M., L.G.; visualization, H.M.T.; project administration, R.P.T. and M.D.M.; supervision, R.P.T. and M.D.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by The National Institutes of Health, grant number 1R21CA24543201, the University of Colorado GI and Liver Innate Immunity Program (GALIIP) pilot grant, the University of Colorado Cancer Center Support Grant (P30CA046934), and the Colorado Clinical and Translational Sciences Institute.

Institutional Review Board Statement

Not Applicable.

Informed Consent Statement

Not Applicable.

Data Availability Statement

Not Applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Treiner, E.; Duban, L.; Bahram, S.; Radosavljevic, M.; Wanner, V.; Tilloy, F.; Affaticati, P.; Gilfillan, S.; Lantz, O. Selection of evolutionarily conserved mucosal-associated invariant T cells by MR1. Nature 2003, 422, 164–169. [Google Scholar] [CrossRef]
  2. Gentles, A.J.; Newman, A.M.; Liu, C.L.; Bratman, S.V.; Feng, W.; Kim, D.; Nair, V.S.; Xu, Y.; Khuong, A.; Hoang, C.D.; et al. The prognostic landscape of genes and infiltrating immune cells across human cancers. Nat. Med. 2015, 21, 938–945. [Google Scholar] [CrossRef]
  3. Fergusson, J.R.; Hühn, M.H.; Swadling, L.; Walker, L.J.; Kurioka, A.; Llibre, A.; Bertoletti, A.; Holländer, G.; Newell, E.W.; Davis, M.M.; et al. CD161(int)CD8+ T cells: A novel population of highly functional, memory CD8+ T cells enriched within the gut. Mucosal Immunol. 2016, 9, 401–413. [Google Scholar] [CrossRef] [Green Version]
  4. Reantragoon, R.; Kjer-Nielsen, L.; Patel, O.; Chen, Z.; Illing, P.T.; Bhati, M.; Kostenko, L.; Bharadwaj, M.; Meehan, B.; Hansen, T.H.; et al. Structural insight into MR1-mediated recognition of the mucosal associated invariant T cell receptor. J. Exp. Med. 2012, 209, 761–774. [Google Scholar] [CrossRef] [PubMed]
  5. Peterfalvi, A.; Gomori, E.; Magyarlaki, T.; Pal, J.; Banati, M.; Javorhazy, A.; Szekeres-Bartho, J.; Szereday, L.; Illes, Z. Invariant Valpha7.2-Jalpha33 TCR is expressed in human kidney and brain tumors indicating infiltration by mucosal-associated invariant T (MAIT) cells. Int. Immunol. 2008, 20, 1517–1525. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Zabijak, L.; Attencourt, C.; Guignant, C.; Chatelain, D.; Marcelo, P.; Marolleau, J.P.; Treiner, E. Increased tumor infiltration by mucosal-associated invariant T cells correlates with poor survival in colorectal cancer patients. Cancer Immunol. Immunother. 2015, 64, 1601–1608. [Google Scholar] [CrossRef]
  7. Sundström, P.; Ahlmanner, F.; Akéus, P.; Sundquist, M.; Alsén, S.; Yrlid, U.; Börjesson, L.; Sjöling, Å.; Gustavsson, B.; Wong, S.B.; et al. Human Mucosa-Associated Invariant T Cells Accumulate in Colon Adenocarcinomas but Produce Reduced Amounts of IFN-γ. J. Immunol. 2015, 195, 3472–3481. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Sundström, P.; Szeponik, L.; Ahlmanner, F.; Sundquist, M.; Wong, J.S.B.; Lindskog, E.B.; Gustafsson, B.; Quiding-Järbrink, M. Tumor-infiltrating mucosal-associated invariant T (MAIT) cells retain expression of cytotoxic effector molecules. Oncotarget 2019, 10, 2810–2823. [Google Scholar] [CrossRef] [Green Version]
  9. Ling, L.; Lin, Y.; Zheng, W.; Hong, S.; Tang, X.; Zhao, P.; Li, M.; Ni, J.; Li, C.; Wang, L.; et al. Circulating and tumor-infiltrating mucosal associated invariant T (MAIT) cells in colorectal cancer patients. Sci. Rep. 2016, 6, 20358. [Google Scholar] [CrossRef] [Green Version]
  10. Won, E.J.; Ju, J.K.; Cho, Y.N.; Jin, H.M.; Park, K.J.; Kim, T.J.; Kwon, Y.S.; Kee, H.J.; Kim, J.C.; Kee, S.J.; et al. Clinical relevance of circulating mucosal-associated invariant T cell levels and their anti-cancer activity in patients with mucosal-associated cancer. Oncotarget 2016, 7, 76274–76290. [Google Scholar] [CrossRef] [Green Version]
  11. Zheng, C.; Zheng, L.; Yoo, J.K.; Guo, H.; Zhang, Y.; Guo, X.; Kang, B.; Hu, R.; Huang, J.Y.; Zhang, Q.; et al. Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing. Cell 2017, 169, 1342–1356.e16. [Google Scholar] [CrossRef] [Green Version]
  12. Favreau, M.; Venken, K.; Faict, S.; Maes, K.; de Veirman, K.; de Bruyne, E.; Leleu, X.; Boon, L.; Elewaut, D.; Vanderkerken, K.; et al. Both mucosal-associated invariant and natural killer T-cell deficiency in multiple myeloma can be countered by PD-1 inhibition. Haematologica 2017, 102, e266–e270. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Huang, W.C.; Hsiao, Y.C.; Wu, C.C.; Hsu, Y.T.; Chang, C.L. Less circulating mucosal-associated invariant T cells in patients with cervical cancer. Taiwan J. Obstet. Gynecol. 2019, 58, 117–121. [Google Scholar] [CrossRef]
  14. Melo, A.M.; O’Brien, A.M.; Phelan, J.J.; Kennedy, S.A.; Wood, N.A.W.; Veerapen, N.; Besra, G.S.; Clarke, N.E.; Foley, E.K.; Ravi, A.; et al. Mucosal-Associated Invariant T Cells Display Diminished Effector Capacity in Oesophageal Adenocarcinoma. Front. Immunol. 2019, 10, 1580. [Google Scholar] [CrossRef]
  15. Koay, H.F.; Su, S.; Amann-Zalcenstein, D.; Daley, S.R.; Comerford, I.; Miosge, L.; Whyte, C.E.; Konstantinov, I.E.; d’Udekem, Y.; Baldwin, T.; et al. A divergent transcriptional landscape underpins the development and functional branching of MAIT cells. Sci. Immunol. 2019, 4, eaay6039. [Google Scholar] [CrossRef] [PubMed]
  16. Corbett, A.J.; Eckle, S.B.; Birkinshaw, R.W.; Liu, L.; Patel, O.; Mahony, J.; Chen, Z.; Reantragoon, R.; Meehan, B.; Cao, H.; et al. T-cell activation by transitory neo-antigens derived from distinct microbial pathways. Nature 2014, 509, 361–365. [Google Scholar] [CrossRef]
  17. Reantragoon, R.; Corbett, A.J.; Sakala, I.G.; Gherardin, N.A.; Furness, J.B.; Chen, Z.; Eckle, S.B.; Uldrich, A.P.; Birkinshaw, R.W.; Patel, O.; et al. Antigen-loaded MR1 tetramers define T cell receptor heterogeneity in mucosal-associated invariant T cells. J. Exp. Med. 2013, 210, 2305–2320. [Google Scholar] [CrossRef]
  18. Yan, J.; Allen, S.; McDonald, E.; Das, I.; Mak, J.Y.W.; Liu, L.; Fairlie, D.P.; Meehan, B.S.; Chen, Z.; Corbett, A.J.; et al. MAIT Cells Promote Tumor Initiation, Growth, and Metastases via Tumor MR1. Cancer Discov. 2020, 10, 124–141. [Google Scholar] [CrossRef]
  19. Duan, M.; Goswami, S.; Shi, J.Y.; Wu, L.J.; Wang, X.Y.; Ma, J.Q.; Zhang, Z.; Shi, Y.; Ma, L.J.; Zhang, S.; et al. Activated and Exhausted MAIT Cells Foster Disease Progression and Indicate Poor Outcome in Hepatocellular Carcinoma. Clin. Cancer Res. 2019, 25, 3304–3316. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Gherardin, N.A.; Loh, L.; Admojo, L.; Davenport, A.J.; Richardson, K.; Rogers, A.; Darcy, P.K.; Jenkins, M.R.; Prince, H.M.; Harrison, S.J.; et al. Enumeration, functional responses and cytotoxic capacity of MAIT cells in newly diagnosed and relapsed multiple myeloma. Sci. Rep. 2018, 8, 4159. [Google Scholar] [CrossRef] [Green Version]
  21. Mitchell, J.; Kvedaraite, E.; Greenwood, T.v.; Henter, J.I.; Pellicci, D.G.; Berzins, S.P.; Kannourakis, G. Altered Populations of Unconventional T Cell Lineages in Patients with Langerhans Cell Histiocytosis. Sci. Rep. 2018, 8, 16506. [Google Scholar] [CrossRef]
  22. Zumwalde, N.A.; Haag, J.D.; Gould, M.N.; Gumperz, J.E. Mucosal associated invariant T cells from human breast ducts mediate a Th17-skewed response to bacterially exposed breast carcinoma cells. Breast Cancer Res. 2018, 20, 111. [Google Scholar] [CrossRef]
  23. Shaler, C.R.; Tun-Abraham, M.E.; Skaro, A.I.; Khazaie, K.; Corbett, A.J.; Mele, T.; Hernandez-Alejandro, R.; Haeryfar, S.M.M. Mucosa-associated invariant T cells infiltrate hepatic metastases in patients with colorectal carcinoma but are rendered dysfunctional within and adjacent to tumor microenvironment. Cancer Immunol. Immunother. 2017, 66, 1563–1575. [Google Scholar] [CrossRef]
  24. Li, S.; Simoni, Y.; Becht, E.; Loh, C.Y.; Li, N.; Lachance, D.; Koo, S.-L.; Lim, T.P.; Tan, E.K.W.; Mathew, R.; et al. Human Tumor-Infiltrating MAIT Cells Display Hallmarks of Bacterial Antigen Recognition in Colorectal Cancer. Cell Rep. Med. 2020, 1, 100039. [Google Scholar] [CrossRef]
  25. Ussher, J.E.; Phalora, P.; Cosgrove, C.; Hannaway, R.F.; Rauch, A.; Günthard, H.F.; Goulder, P.; Phillips, R.E.; Willberg, C.B.; Klenerman, P. Molecular Analyses Define Vα7.2-Jα33+ MAIT Cell Depletion in HIV Infection: A Case—Control Study. Medicine 2015, 94, e1134. [Google Scholar] [CrossRef] [Green Version]
  26. Gherardin, N.A.; Souter, M.N.; Koay, H.F.; Mangas, K.M.; Seemann, T.; Stinear, T.P.; Eckle, S.B.; Berzins, S.P.; d’Udekem, Y.; Konstantinov, I.E.; et al. Human blood MAIT cell subsets defined using MR1 tetramers. Immunol. Cell Biol. 2018, 96, 507–525. [Google Scholar] [CrossRef] [Green Version]
  27. Lu, Z.; Zhu, M.; Marley, J.L.; Bi, K.; Wang, K.; Zhai, M.; Hu, H.; Guo, P.; Li, C.; Xu, Y.; et al. The combined action of monocytic myeloid-derived suppressor cells and mucosal-associated invariant T cells promotes the progression of cervical cancer. Int. J. Cancer 2021, 148, 1499–1507. [Google Scholar] [CrossRef]
  28. De Biasi, S.; Gibellini, L.; Tartaro, D.L.; Puccio, S.; Rabacchi, C.; Mazza, E.M.C.; Brummelman, J.; Williams, B.; Kaihara, K.; Forcato, M.; et al. Circulating mucosal-associated invariant T cells identify patients responding to anti-PD-1 therapy. Nat. Commun. 2021, 12, 1669. [Google Scholar] [CrossRef]
  29. Rahimpour, A.; Koay, H.F.; Enders, A.; Clanchy, R.; Eckle, S.B.; Meehan, B.; Chen, Z.; Whittle, B.; Liu, L.; Fairlie, D.P.; et al. Identification of phenotypically and functionally heterogeneous mouse mucosal-associated invariant T cells using MR1 tetramers. J. Exp. Med. 2015, 212, 1095–1108. [Google Scholar] [CrossRef] [Green Version]
  30. Lamichhane, R.; Schneider, M.; de la Harpe, S.M.; Harrop, T.W.R.; Hannaway, R.F.; Dearden, P.K.; Kirman, J.R.; Tyndall, J.D.A.; Vernall, A.J.; Ussher, J.E. TCR- or Cytokine-Activated CD8(+) Mucosal-Associated Invariant T Cells Are Rapid Polyfunctional Effectors That Can Coordinate Immune Responses. Cell Rep. 2019, 28, 3061–3076.e5. [Google Scholar] [CrossRef] [Green Version]
  31. Hinks, T.S.C.; Zhang, X.W. MAIT Cell Activation and Functions. Front. Immunol. 2020, 11, 1014. [Google Scholar] [CrossRef]
  32. Koay, H.F.; Gherardin, N.A.; Enders, A.; Loh, L.; Mackay, L.K.; Almeida, C.F.; Russ, B.E.; Nold-Petry, C.A.; Nold, M.F.; Bedoui, S.; et al. A three-stage intrathymic development pathway for the mucosal-associated invariant T cell lineage. Nat. Immunol. 2016, 17, 1300–1311. [Google Scholar] [CrossRef]
  33. Dias, J.; Sobkowiak, M.J.; Sandberg, J.K.; Leeansyah, E. Human MAIT-cell responses to Escherichia coli: Activation, cytokine production, proliferation, and cytotoxicity. J. Leukoc. Biol. 2016, 100, 233–240. [Google Scholar] [CrossRef] [Green Version]
  34. Legoux, F.; Bellet, D.; Daviaud, C.; el Morr, Y.; Darbois, A.; Niort, K.; Procopio, E.; Salou, M.; Gilet, J.; Ryffel, B.; et al. Microbial metabolites control the thymic development of mucosal-associated invariant T cells. Science 2019, 366, 494–499. [Google Scholar] [CrossRef]
  35. Kurioka, A.; Walker, L.J.; Klenerman, P.; Willberg, C.B. MAIT cells: New guardians of the liver. Clin. Transl. Immunol. 2016, 5, e98. [Google Scholar] [CrossRef]
  36. Dusseaux, M.; Martin, E.; Serriari, N.; Péguillet, I.; Premel, V.; Louis, D.; Milder, M.; le Bourhis, L.; Soudais, C.; Treiner, E.; et al. Human MAIT cells are xenobiotic-resistant, tissue-targeted, CD161hi IL-17-secreting T cells. Blood 2011, 117, 1250–1259. [Google Scholar] [CrossRef]
  37. Novak, J.; Dobrovolny, J.; Novakova, L.; Kozak, T. The decrease in number and change in phenotype of mucosal-associated invariant T cells in the elderly and differences in men and women of reproductive age. Scand. J. Immunol. 2014, 80, 271–275. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Walker, L.J.; Tharmalingam, H.; Klenerman, P. The rise and fall of MAIT cells with age. Scand. J. Immunol. 2014, 80, 462–463. [Google Scholar] [CrossRef] [Green Version]
  39. Loh, L.; Gherardin, N.A.; Sant, S.; Grzelak, L.; Crawford, J.C.; Bird, N.L.; Koay, H.F.; van de Sandt, C.E.; Moreira, M.L.; Lappas, M.; et al. Human Mucosal-Associated Invariant T Cells in Older Individuals Display Expanded TCRalphabeta Clonotypes with Potent Antimicrobial Responses. J. Immunol. 2020, 204, 1119–1133. [Google Scholar] [CrossRef]
  40. Leeansyah, E.; Loh, L.; Nixon, D.F.; Sandberg, J.K. Acquisition of innate-like microbial reactivity in mucosal tissues during human fetal MAIT-cell development. Nat. Commun. 2014, 5, 3143. [Google Scholar] [CrossRef] [Green Version]
  41. Constantinides, M.G.; Link, V.M.; Tamoutounour, S.; Wong, A.C.; Perez-Chaparro, P.J.; Han, S.J.; Chen, Y.E.; Li, K.; Farhat, S.; Weckel, A.; et al. MAIT cells are imprinted by the microbiota in early life and promote tissue repair. Science 2019, 366, eaax6624. [Google Scholar] [CrossRef]
  42. Chen, Z.; Wang, H.; D’Souza, C.; Sun, S.; Kostenko, L.; Eckle, S.B.G.; Meehan, B.S.; Jackson, D.C.; Strugnell, R.A.; Cao, H.; et al. Mucosal-associated invariant T-cell activation and accumulation after in vivo infection depends on microbial riboflavin synthesis and co-stimulatory signals. Mucosal Immunol. 2017, 10, 58–68. [Google Scholar] [CrossRef] [Green Version]
  43. Patel, O.; Kjer-Nielsen, L.; le Nours, J.; Eckle, S.B.; Birkinshaw, R.; Beddoe, T.; Corbett, A.J.; Liu, L.; Miles, J.J.; Meehan, B.; et al. Recognition of vitamin B metabolites by mucosal-associated invariant T cells. Nat. Commun. 2013, 4, 2142. [Google Scholar] [CrossRef] [Green Version]
  44. Eckle, S.B.; Birkinshaw, R.W.; Kostenko, L.; Corbett, A.J.; McWilliam, H.E.; Reantragoon, R.; Chen, Z.; Gherardin, N.A.; Beddoe, T.; Liu, L.; et al. A molecular basis underpinning the T cell receptor heterogeneity of mucosal-associated invariant T cells. J. Exp. Med. 2014, 211, 1585–1600. [Google Scholar] [CrossRef]
  45. Kjer-Nielsen, L.; Patel, O.; Corbett, A.J.; le Nours, J.; Meehan, B.; Liu, L.; Bhati, M.; Chen, Z.; Kostenko, L.; Reantragoon, R.; et al. MR1 presents microbial vitamin B metabolites to MAIT cells. Nature 2012, 491, 717–723. [Google Scholar] [CrossRef]
  46. Keller, A.N.; Corbett, A.J.; Wubben, J.M.; McCluskey, J.; Rossjohn, J. MAIT cells and MR1-antigen recognition. Curr. Opin. Immunol. 2017, 46, 66–74. [Google Scholar] [CrossRef] [PubMed]
  47. Mak, J.Y.; Xu, W.; Reid, R.C.; Corbett, A.J.; Meehan, B.S.; Wang, H.; Chen, Z.; Rossjohn, J.; McCluskey, J.; Liu, L.; et al. Stabilizing short-lived Schiff base derivatives of 5-aminouracils that activate mucosal-associated invariant T cells. Nat. Commun. 2017, 8, 14599. [Google Scholar] [CrossRef] [Green Version]
  48. Ussher, J.E.; Bilton, M.; Attwod, E.; Shadwell, J.; Richardson, R.; de Lara, C.; Mettke, E.; Kurioka, A.; Hansen, T.H.; Klenerman, P.; et al. CD161++ CD8+ T cells, including the MAIT cell subset, are specifically activated by IL-12+IL-18 in a TCR-independent manner. Eur. J. Immunol. 2014, 44, 195–203. [Google Scholar] [CrossRef]
  49. Sattler, A.; Dang-Heine, C.; Reinke, P.; Babel, N. IL-15 dependent induction of IL-18 secretion as a feedback mechanism controlling human MAIT-cell effector functions. Eur. J. Immunol. 2015, 45, 2286–2298. [Google Scholar] [CrossRef] [Green Version]
  50. Lamichhane, R.; Ussher, J.E. Expression and trafficking of MR1. Immunology 2017, 151, 270–279. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Eckle, S.B.; Corbett, A.J.; Keller, A.N.; Chen, Z.; Godfrey, D.I.; Liu, L.; Mak, J.Y.; Fairlie, D.P.; Rossjohn, J.; McCluskey, J. Recognition of Vitamin B Precursors and Byproducts by Mucosal Associated Invariant T Cells. J. Biol. Chem. 2015, 290, 30204–30211. [Google Scholar] [CrossRef] [Green Version]
  52. Debusschere, K.; Lories, R.J.; Elewaut, D. MAIT cells: Not just another brick in the wall. Ann. Rheum. Dis. 2016, 75, 2057–2059. [Google Scholar] [CrossRef] [Green Version]
  53. Vayrynen, J.P.; Kantola, T.; Vayrynen, S.A.; Klintrup, K.; Bloigu, R.; Karhu, T.; Makela, J.; Herzig, K.H.; Karttunen, T.J.; Tuomisto, A.; et al. The relationships between serum cytokine levels and tumor infiltrating immune cells and their clinical significance in colorectal cancer. Int. J. Cancer 2016, 139, 112–121. [Google Scholar] [CrossRef] [PubMed]
  54. Coffelt, S.B.; Kersten, K.; Doornebal, C.W.; Weiden, J.; Vrijland, K.; Hau, C.S.; Verstegen, N.J.M.; Ciampricotti, M.; Hawinkels, L.; Jonkers, J.; et al. IL-17-producing γδ T cells and neutrophils conspire to promote breast cancer metastasis. Nature 2015, 522, 345–348. [Google Scholar] [CrossRef]
  55. Grivennikov, S.I.; Wang, K.; Mucida, D.; Stewart, C.A.; Schnabl, B.; Jauch, D.; Taniguchi, K.; Yu, G.Y.; Osterreicher, C.H.; Hung, K.E.; et al. Adenoma-linked barrier defects and microbial products drive IL-23/IL-17-mediated tumour growth. Nature 2012, 491, 254–258. [Google Scholar] [CrossRef] [Green Version]
  56. Wu, P.; Wu, D.; Ni, C.; Ye, J.; Chen, W.; Hu, G.; Wang, Z.; Wang, C.; Zhang, Z.; Xia, W.; et al. γδT17 cells promote the accumulation and expansion of myeloid-derived suppressor cells in human colorectal cancer. Immunity 2014, 40, 785–800. [Google Scholar] [CrossRef] [Green Version]
  57. De Simone, V.; Pallone, F.; Monteleone, G.; Stolfi, C. Role of TH17 cytokines in the control of colorectal cancer. Oncoimmunology 2013, 2, e26617. [Google Scholar] [CrossRef] [Green Version]
  58. Xie, Z.; Qu, Y.; Leng, Y.; Sun, W.; Ma, S.; Wei, J.; Hu, J.; Zhang, X. Human colon carcinogenesis is associated with increased interleukin-17-driven inflammatory responses. Drug Des. Dev. Ther. 2015, 9, 1679–1689. [Google Scholar] [CrossRef] [Green Version]
  59. Qian, X.; Chen, H.; Wu, X.; Hu, L.; Huang, Q.; Jin, Y. Interleukin-17 acts as double-edged sword in anti-tumor immunity and tumorigenesis. Cytokine 2017, 89, 34–44. [Google Scholar] [CrossRef]
  60. Nam, J.S.; Terabe, M.; Kang, M.J.; Chae, H.; Voong, N.; Yang, Y.A.; Laurence, A.; Michalowska, A.; Mamura, M.; Lonning, S.; et al. Transforming growth factor beta subverts the immune system into directly promoting tumor growth through interleukin-17. Cancer Res. 2008, 68, 3915–3923. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. He, D.; Li, H.; Yusuf, N.; Elmets, C.A.; Li, J.; Mountz, J.D.; Xu, H. IL-17 promotes tumor development through the induction of tumor promoting microenvironments at tumor sites and myeloid-derived suppressor cells. J. Immunol. 2010, 184, 2281–2288. [Google Scholar] [CrossRef] [Green Version]
  62. Numasaki, M.; Watanabe, M.; Suzuki, T.; Takahashi, H.; Nakamura, A.; McAllister, F.; Hishinuma, T.; Goto, J.; Lotze, M.T.; Kolls, J.K.; et al. IL-17 enhances the net angiogenic activity and in vivo growth of human non-small cell lung cancer in SCID mice through promoting CXCR-2-dependent angiogenesis. J. Immunol. 2005, 175, 6177–6189. [Google Scholar] [CrossRef] [Green Version]
  63. Numasaki, M.; Fukushi, J.; Ono, M.; Narula, S.K.; Zavodny, P.J.; Kudo, T.; Robbins, P.D.; Tahara, H.; Lotze, M.T. Interleukin-17 promotes angiogenesis and tumor growth. Blood 2003, 101, 2620–2627. [Google Scholar] [CrossRef]
  64. Cirée, A.; Michel, L.; Camilleri-Bröet, S.; Louis, F.J.; Oster, M.; Flageul, B.; Senet, P.; Fossiez, F.; Fridman, W.H.; Bachelez, H.; et al. Expression and activity of IL-17 in cutaneous T-cell lymphomas (mycosis fungoides and Sezary syndrome). Int. J. Cancer 2004, 112, 113–120. [Google Scholar] [CrossRef]
  65. Gu, F.M.; Li, Q.L.; Gao, Q.; Jiang, J.H.; Zhu, K.; Huang, X.Y.; Pan, J.F.; Yan, J.; Hu, J.H.; Wang, Z.; et al. IL-17 induces AKT-dependent IL-6/JAK2/STAT3 activation and tumor progression in hepatocellular carcinoma. Mol. Cancer 2011, 10, 150. [Google Scholar] [CrossRef] [Green Version]
  66. Tosolini, M.; Kirilovsky, A.; Mlecnik, B.; Fredriksen, T.; Mauger, S.; Bindea, G.; Berger, A.; Bruneval, P.; Fridman, W.H.; Pagès, F.; et al. Clinical impact of different classes of infiltrating T cytotoxic and helper cells (Th1, th2, treg, th17) in patients with colorectal cancer. Cancer Res. 2011, 71, 1263–1271. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Honorati, M.C.; Neri, S.; Cattini, L.; Facchini, A. IL-17 enhances the susceptibility of U-2 OS osteosarcoma cells to NK cell lysis. Clin. Exp. Immunol. 2003, 133, 344–349. [Google Scholar] [CrossRef]
  68. De la Luz Garcia-Hernandez, M.; Hamada, H.; Reome, J.B.; Misra, S.K.; Tighe, M.P.; Dutton, R.W. Adoptive transfer of tumor-specific Tc17 effector T cells controls the growth of B16 melanoma in mice. J. Immunol. 2010, 184, 4215–4227. [Google Scholar] [CrossRef] [Green Version]
  69. Benchetrit, F.; Ciree, A.; Vives, V.; Warnier, G.; Gey, A.; Sautès-Fridman, C.; Fossiez, F.; Haicheur, N.; Fridman, W.H.; Tartour, E. Interleukin-17 inhibits tumor cell growth by means of a T-cell-dependent mechanism. Blood 2002, 99, 2114–2121. [Google Scholar] [CrossRef] [Green Version]
  70. Hirahara, N.; Nio, Y.; Sasaki, S.; Takamura, M.; Iguchi, C.; Dong, M.; Yamasawa, K.; Itakura, M.; Tamura, K. Reduced invasiveness and metastasis of Chinese hamster ovary cells transfected with human interleukin-17 gene. Anticancer Res. 2000, 20, 3137–3142. [Google Scholar]
  71. Punt, S.; Langenhoff, J.M.; Putter, H.; Fleuren, G.J.; Gorter, A.; Jordanova, E.S. The correlations between IL-17 vs. Th17 cells and cancer patient survival: A systematic review. Oncoimmunology 2015, 4, e984547. [Google Scholar] [CrossRef]
  72. Kurioka, A.; Ussher, J.E.; Cosgrove, C.; Clough, C.; Fergusson, J.R.; Smith, K.; Kang, Y.H.; Walker, L.J.; Hansen, T.H.; Willberg, C.B.; et al. MAIT cells are licensed through granzyme exchange to kill bacterially sensitized targets. Mucosal Immunol. 2015, 8, 429–440. [Google Scholar] [CrossRef] [Green Version]
  73. Bovenschen, N.; Quadir, R.; van den Berg, A.L.; Brenkman, A.B.; Vandenberghe, I.; Devreese, B.; Joore, J.; Kummer, J.A. Granzyme K displays highly restricted substrate specificity that only partially overlaps with granzyme A. J. Biol. Chem. 2009, 284, 3504–3512. [Google Scholar] [CrossRef] [Green Version]
  74. Fulda, S. Tumor resistance to apoptosis. Int. J. Cancer 2009, 124, 511–515. [Google Scholar] [CrossRef]
  75. Hinks, T.S.C.; Marchi, E.; Jabeen, M.; Olshansky, M.; Kurioka, A.; Pediongco, T.J.; Meehan, B.S.; Kostenko, L.; Turner, S.J.; Corbett, A.J.; et al. Activation and In Vivo Evolution of the MAIT Cell Transcriptome in Mice and Humans Reveals Tissue Repair Functionality. Cell Rep. 2019, 28, 3249–3262.e5. [Google Scholar] [CrossRef] [Green Version]
  76. Brockmann, L.; Giannou, A.D.; Gagliani, N.; Huber, S. Regulation of TH17 Cells and Associated Cytokines in Wound Healing, Tissue Regeneration, and Carcinogenesis. Int. J. Mol. Sci. 2017, 18, 1033. [Google Scholar] [CrossRef] [Green Version]
  77. Kelly, J.; Minoda, Y.; Meredith, T.; Cameron, G.; Philipp, M.S.; Pellicci, D.G.; Corbett, A.J.; Kurts, C.; Gray, D.H.; Godfrey, D.I.; et al. Chronically stimulated human MAIT cells are unexpectedly potent IL-13 producers. Immunol. Cell Biol. 2019, 97, 689–699. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  78. Lu, B.; Liu, M.; Wang, J.; Fan, H.; Yang, D.; Zhang, L.; Gu, X.; Nie, J.; Chen, Z.; Corbett, A.J.; et al. IL-17 production by tissue-resident MAIT cells is locally induced in children with pneumonia. Mucosal Immunol. 2020, 13, 824–835. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Leng, T.; Akther, H.D.; Hackstein, C.P.; Powell, K.; King, T.; Friedrich, M.; Christoforidou, Z.; McCuaig, S.; Neyazi, M.; Arancibia-Cárcamo, C.V.; et al. TCR and Inflammatory Signals Tune Human MAIT Cells to Exert Specific Tissue Repair and Effector Functions. Cell Rep. 2019, 28, 3077–3091.e5. [Google Scholar] [CrossRef] [Green Version]
  80. Yao, T.; Shooshtari, P.; Haeryfar, S.M.M. Leveraging Public Single-Cell and Bulk Transcriptomic Datasets to Delineate MAIT Cell Roles and Phenotypic Characteristics in Human Malignancies. Front. Immunol. 2020, 11, 1691. [Google Scholar] [CrossRef]
  81. Pagès, F.; Berger, A.; Henglein, B.; Piqueras, B.; Danel, C.; Zinzindohoue, F.; Thiounn, N.; Cugnenc, P.H.; Fridman, W.H. Modulation of interleukin-18 expression in human colon carcinoma: Consequences for tumor immune surveillance. Int. J. Cancer 1999, 84, 326–330. [Google Scholar] [CrossRef]
  82. Baba, Y.; Iwatsuki, M.; Yoshida, N.; Watanabe, M.; Baba, H. Review of the gut microbiome and esophageal cancer: Pathogenesis and potential clinical implications. Ann. Gastroenterol. Surg. 2017, 1, 99–104. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Tobin, R.P.; Jordan, K.R.; Kapoor, P.; Spongberg, E.; Davis, D.; Vorwald, V.M.; Couts, K.L.; Gao, D.; Smith, D.E.; Borgers, J.S.W.; et al. IL-6 and IL-8 Are Linked With Myeloid-Derived Suppressor Cell Accumulation and Correlate With Poor Clinical Outcomes in Melanoma Patients. Front. Oncol. 2019, 9, 1223. [Google Scholar] [CrossRef] [Green Version]
  84. Liang, Y.; Lu, B.; Zhao, P.; Lu, W. Increased circulating GrMyeloid-derived suppressor cells correlated with tumor burden and survival in locally advanced cervical cancer patient. J. Cancer 2019, 10, 1341–1348. [Google Scholar] [CrossRef] [Green Version]
  85. Haeryfar, S.M.M.; Shaler, C.R.; Rudak, P.T. Mucosa-associated invariant T cells in malignancies: A faithful friend or formidable foe? Cancer Immunol. Immunother. 2018, 67, 1885–1896. [Google Scholar] [CrossRef]
  86. Jacquelot, N.; Enot, D.P.; Flament, C.; Vimond, N.; Blattner, C.; Pitt, J.M.; Yamazaki, T.; Roberti, M.P.; Daillere, R.; Vetizou, M.; et al. Chemokine receptor patterns in lymphocytes mirror metastatic spreading in melanoma. J. Clin. Investig. 2016, 126, 921–937. [Google Scholar] [CrossRef]
  87. Adolph, T.E.; Grander, C.; Moschen, A.R.; Tilg, H. Liver-Microbiome Axis in Health and Disease. Trends Immunol. 2018, 39, 712–723. [Google Scholar] [CrossRef]
  88. Jung, S.H.; Bae, S.Y.; Ahn, J.S.; Kang, S.J.; Yang, D.H.; Kim, Y.K.; Kim, H.J.; Lee, J.J. Lymphocytopenia is associated with an increased risk of severe infections in patients with multiple myeloma treated with bortezomib-based regimens. Int. J. Hematol. 2013, 97, 382–387. [Google Scholar] [CrossRef]
  89. McGregor, S.; Shah, A.; Raca, G.; Mirza, M.K.; Smith, S.M.; Anastasi, J.; Vardiman, J.W.; Hyjek, E.; Gurbuxani, S. PLZF staining identifies peripheral T-cell lymphomas derived from innate-like T-cells with TRAV1-2-TRAJ33 TCR-α rearrangement. Blood 2014, 123, 2742–2743. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  90. Salou, M.; Legoux, F.; Gilet, J.; Darbois, A.; Halgouet, A.d.; Alonso, R.; Richer, W.; Goubet, A.G.; Daviaud, C.; Menger, L.; et al. A common transcriptomic program acquired in the thymus defines tissue residency of MAIT and NKT subsets. J. Exp. Med. 2019, 216, 133–151. [Google Scholar] [CrossRef]
  91. Turtle, C.J.; Swanson, H.M.; Fujii, N.; Estey, E.H.; Riddell, S.R. A distinct subset of self-renewing human memory CD8+ T cells survives cytotoxic chemotherapy. Immunity 2009, 31, 834–844. [Google Scholar] [CrossRef] [Green Version]
  92. Fergusson, J.R.; Ussher, J.E.; Kurioka, A.; Klenerman, P.; Walker, L.J. High MDR-1 expression by MAIT cells confers resistance to cytotoxic but not immunosuppressive MDR-1 substrates. Clin. Exp. Immunol. 2018, 194, 180–191. [Google Scholar] [CrossRef] [Green Version]
  93. Yong, Y.K.; Saeidi, A.; Tan, H.Y.; Rosmawati, M.; Enstrom, P.F.; Batran, R.A.; Vasuki, V.; Chattopadhyay, I.; Murugesan, A.; Vignesh, R.; et al. Hyper-Expression of PD-1 Is Associated with the Levels of Exhausted and Dysfunctional Phenotypes of Circulating CD161(++)TCR iValpha7.2(+) Mucosal-Associated Invariant T Cells in Chronic Hepatitis B Virus Infection. Front. Immunol. 2018, 9, 472. [Google Scholar] [CrossRef] [Green Version]
  94. Paiva, B.; Azpilikueta, A.; Puig, N.; Ocio, E.M.; Sharma, R.; Oyajobi, B.O.; Labiano, S.; San-Segundo, L.; Rodriguez, A.; Aires-Mejia, I.; et al. PD-L1/PD-1 presence in the tumor microenvironment and activity of PD-1 blockade in multiple myeloma. Leukemia 2015, 29, 2110–2113. [Google Scholar] [CrossRef]
  95. Gopalakrishnan, V.; Spencer, C.N.; Nezi, L.; Reuben, A.; Andrews, M.C.; Karpinets, T.V.; Prieto, P.A.; Vicente, D.; Hoffman, K.; Wei, S.C.; et al. Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients. Science 2018, 359, 97–103. [Google Scholar] [CrossRef] [Green Version]
  96. Routy, B.; le Chatelier, E.; Derosa, L.; Duong, C.P.M.; Alou, M.T.; Daillère, R.; Fluckiger, A.; Messaoudene, M.; Rauber, C.; Roberti, M.P.; et al. Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors. Science 2018, 359, 91–97. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Hill, M.J. Intestinal flora and endogenous vitamin synthesis. Eur. J. Cancer Prev. 1997, 6 (Suppl. S1), S43–S45. [Google Scholar] [CrossRef]
  98. Matson, V.; Fessler, J.; Bao, R.; Chongsuwat, T.; Zha, Y.; Alegre, M.L.; Luke, J.J.; Gajewski, T.F. The commensal microbiome is associated with anti-PD-1 efficacy in metastatic melanoma patients. Science 2018, 359, 104–108. [Google Scholar] [CrossRef] [Green Version]
  99. Sivan, A.; Corrales, L.; Hubert, N.; Williams, J.B.; Aquino-Michaels, K.; Earley, Z.M.; Benyamin, F.W.; Lei, Y.M.; Jabri, B.; Alegre, M.L.; et al. Commensal Bifidobacterium promotes antitumor immunity and facilitates anti-PD-L1 efficacy. Science 2015, 350, 1084–1089. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  100. Dubin, K.; Callahan, M.K.; Ren, B.; Khanin, R.; Viale, A.; Ling, L.; No, D.; Gobourne, A.; Littmann, E.; Huttenhower, C.; et al. Intestinal microbiome analyses identify melanoma patients at risk for checkpoint-blockade-induced colitis. Nat. Commun. 2016, 7, 10391. [Google Scholar] [CrossRef] [Green Version]
  101. Bhattacharyya, A.; Hanafi, L.A.; Sheih, A.; Golob, J.L.; Srinivasan, S.; Boeckh, M.J.; Pergam, S.A.; Mahmood, S.; Baker, K.K.; Gooley, T.A.; et al. Graft-Derived Reconstitution of Mucosal-Associated Invariant T Cells after Allogeneic Hematopoietic Cell Transplantation. Biol. Blood Marrow Transplant. 2018, 24, 242–251. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  102. Parrot, T.; Healy, K.; Boulouis, C.; Sobkowiak, M.J.; Leeansyah, E.; Aleman, S.; Bertoletti, A.; Chen, M.S.; Sandberg, J.K. Expansion of donor-unrestricted MAIT cells with enhanced cytolytic function suitable for TCR redirection. JCI Insight 2021, 6, 140074. [Google Scholar] [CrossRef] [PubMed]
  103. Sim, M.J.W.; Lu, J.; Spencer, M.; Hopkins, F.; Tran, E.; Rosenberg, S.A.; Long, E.O.; Sun, P.D. High-affinity oligoclonal TCRs define effective adoptive T cell therapy targeting mutant KRAS-G12D. Proc. Natl. Acad. Sci. USA 2020, 117, 12826–12835. [Google Scholar] [CrossRef]
  104. Tran, E.; Robbins, P.F.; Lu, Y.C.; Prickett, T.D.; Gartner, J.J.; Jia, L.; Pasetto, A.; Zheng, Z.; Ray, S.; Groh, E.M.; et al. T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer. N. Engl. J. Med. 2016, 375, 2255–2262. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Crowther, M.D.; Dolton, G.; Legut, M.; Caillaud, M.E.; Lloyd, A.; Attaf, M.; Galloway, S.A.E.; Rius, C.; Farrell, C.P.; Szomolay, B.; et al. Genome-wide CRISPR-Cas9 screening reveals ubiquitous T cell cancer targeting via the monomorphic MHC class I-related protein MR1. Nat. Immunol. 2020, 21, 178–185. [Google Scholar] [CrossRef] [PubMed]
  106. Perica, K.; Varela, J.C.; Oelke, M.; Schneck, J. Adoptive T cell immunotherapy for cancer. Rambam Maimonides Med. J. 2015, 6, e0004. [Google Scholar] [CrossRef]
  107. Guo, T.; Chamoto, K.; Hirano, N. Adoptive T Cell Therapy Targeting CD1 and MR1. Front. Immunol. 2015, 6, 247. [Google Scholar] [CrossRef] [Green Version]
  108. Franklin, R.A.; Liao, W.; Sarkar, A.; Kim, M.V.; Bivona, M.R.; Liu, K.; Pamer, E.G.; Li, M.O. The cellular and molecular origin of tumor-associated macrophages. Science 2014, 344, 921–925. [Google Scholar] [CrossRef] [Green Version]
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Figure 1. MAIT Cell Identification. A representation of known biologically significant markers found on MAIT cells. Pictured is the Vα7.2 TCR, co-stimulatory molecules CD8(+/−), CD3, CD4(+/−), CD27, and CD28, coinhibitory and immunotherapy target molecule PD-1, cytokine receptors IL-1R, IL-7R, IL-12R, IL-15R, IL-18R (CD218), and IL-23R, chemokine receptors CCR5, CCR6, CCR9, CXCR6, activation markers HLA-DR, CD69, CD39, CD38, CD25, CD44, and degranulation marker CD107a (intracellular), and other identification markers CD161, MDR1, and CD26. Identification transcription factors include PLZF, Eomesodermin, RORγt, and T-Bet.
Figure 1. MAIT Cell Identification. A representation of known biologically significant markers found on MAIT cells. Pictured is the Vα7.2 TCR, co-stimulatory molecules CD8(+/−), CD3, CD4(+/−), CD27, and CD28, coinhibitory and immunotherapy target molecule PD-1, cytokine receptors IL-1R, IL-7R, IL-12R, IL-15R, IL-18R (CD218), and IL-23R, chemokine receptors CCR5, CCR6, CCR9, CXCR6, activation markers HLA-DR, CD69, CD39, CD38, CD25, CD44, and degranulation marker CD107a (intracellular), and other identification markers CD161, MDR1, and CD26. Identification transcription factors include PLZF, Eomesodermin, RORγt, and T-Bet.
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Figure 2. Mechanisms of MAIT cell activation. (A) TCR-Dependent activation via MR1 on an MR1-expressing cell (includes antigen presenting cells, endothelial cells, tumor cells, etc.). In this context, an antigen (bacterially produced 5-OP-RU) is taken up into the cell and presented in MR1. The TCR from the MAIT cell engages MR1 and other co-stimulatory molecules like CD28/CD80. Transcription factors RORγt, PLZF, T-bet, and tissue repair genes are expressed. Cytokines such as TNF-α, IL-8, IL-17a, and IFN-γ, are secreted, as well as cytotoxic effector granules like GZMA, GZMK, GZMB, GZMH, and perforin. The size of the text reflects the relative secretion of each molecule, whereas bigger text indicates more secretion and smaller text is less secretion, specific to the type of activation pictured. (B) TCR-Independent activation via cytokine release from other cells such as virally infected cells, stressed cells, or other cytokine-producing cells. MAIT cells are not only activated by MR1-TCR binding, but also by cytokines IL-15, IL-12, and IL-18. When the cytokine receptor is bound, cytokines TNF-α, IFN-γ, and IL-17a are secreted, as well as cytotoxic effector granules like GZMA, GZMK, GZMB, perforin, GZMH, and GZMM. Transcription factors RORγt, PLZF, and T-bet are expressed. The size of the text reflects the relative secretion of each molecule, whereas bigger text indicates more secretion and smaller text is less secretion, specific to the type of activation pictured.
Figure 2. Mechanisms of MAIT cell activation. (A) TCR-Dependent activation via MR1 on an MR1-expressing cell (includes antigen presenting cells, endothelial cells, tumor cells, etc.). In this context, an antigen (bacterially produced 5-OP-RU) is taken up into the cell and presented in MR1. The TCR from the MAIT cell engages MR1 and other co-stimulatory molecules like CD28/CD80. Transcription factors RORγt, PLZF, T-bet, and tissue repair genes are expressed. Cytokines such as TNF-α, IL-8, IL-17a, and IFN-γ, are secreted, as well as cytotoxic effector granules like GZMA, GZMK, GZMB, GZMH, and perforin. The size of the text reflects the relative secretion of each molecule, whereas bigger text indicates more secretion and smaller text is less secretion, specific to the type of activation pictured. (B) TCR-Independent activation via cytokine release from other cells such as virally infected cells, stressed cells, or other cytokine-producing cells. MAIT cells are not only activated by MR1-TCR binding, but also by cytokines IL-15, IL-12, and IL-18. When the cytokine receptor is bound, cytokines TNF-α, IFN-γ, and IL-17a are secreted, as well as cytotoxic effector granules like GZMA, GZMK, GZMB, perforin, GZMH, and GZMM. Transcription factors RORγt, PLZF, and T-bet are expressed. The size of the text reflects the relative secretion of each molecule, whereas bigger text indicates more secretion and smaller text is less secretion, specific to the type of activation pictured.
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Figure 3. A TME-infiltrating and exhausted MAIT cell under various possible stimuli. The MAIT TCR is engaged by an unknown antigen from the TME, and other receptors are bound by unknown TME factors (possibly cytokines, inhibitory ligands, or other metabolites). Factors are potentially released by cells present in the TME such as tumor cells, fibroblasts, endothelial cells, or other immune cells. Effects from TME stimuli include upregulation of molecules PD-1, CD39, CTLA4, and TIM3, and well as release of cytokines IL-13, CXCL13, IL-17 and IL-8, with decreases in secretion of TNF-α, IFN-γ, GZMB, and perforin. The size of the text reflects the relative secretion of each molecule, whereas bigger text indicates more secretion and smaller text is less secretion.
Figure 3. A TME-infiltrating and exhausted MAIT cell under various possible stimuli. The MAIT TCR is engaged by an unknown antigen from the TME, and other receptors are bound by unknown TME factors (possibly cytokines, inhibitory ligands, or other metabolites). Factors are potentially released by cells present in the TME such as tumor cells, fibroblasts, endothelial cells, or other immune cells. Effects from TME stimuli include upregulation of molecules PD-1, CD39, CTLA4, and TIM3, and well as release of cytokines IL-13, CXCL13, IL-17 and IL-8, with decreases in secretion of TNF-α, IFN-γ, GZMB, and perforin. The size of the text reflects the relative secretion of each molecule, whereas bigger text indicates more secretion and smaller text is less secretion.
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Table
Table 1. Summary of ex vivo results.
Table 1. Summary of ex vivo results.
Organism Tested/Cancer TypeMethod of MAIT DetectionSubjects/Tumors AssessedMAIT Cells in BloodMAIT Cells in Disease SiteFunctionality Changes?Association with Survival or Disease ProgressionTumor-Promoting/Tumor-Killing/InconclusiveReference/Year Published
Human, Brain and KidneyVα7.2-Jα33 TCR8 brain,
11 kidney		MAITs detectedMAITs and MR1 detectedN/AN/AInconclusive[5]/2008
Human, CRCCD3+, CD26+, Vα7.2+ 35 CRC,
35 HAT		N/A↑MAITs in CRC compared to HATN/A↑MAITs in tumor = poor prognosisTumor-Promoting[6]/2015
Human, CRCCD45+, CD3+, CD4−, TCRγ𝛿−, CD161high, Vα7.2+44 CRC, 44 HATNo difference in MAITs between CRC and HC ↑MAITs in CRC compared to HAT (↑DN and ↓CD8+ compared to HAT)↓IFN-γ-producing MAITs compared to HAT. No change in TNF-α or IL-17.N/AInconclusive–Tumor impairs MAIT functionality[7]/2015
Human, CRCCD3+, TCRγδ−,
CD161+,
Vα7.2+		48 CRC, 22 HC↑CD4+, ↓CD8+, ↓total MAITs compared to HC↑MAITs in CRC compared to HC↓IFN-γ, ↓TNF-α, ↑IL-17A in blood MAITs compared to HC ↑MAITs in early stage CRC compared to advanced CRCInconclusive–MAITs infiltrate tumor, tumor impairs MAIT functionality[9]/2016
Human, MAC (colon, gastric, lung)CD3+,
TCRγδ−,
CD161high,
Vα7.2+		99 MAC,
9 HAT,
20 HC		↓MAITs compared to HC and non-mucosal cancers↑ in CRC compared to blood and HATNormal cytokine profile. CCL20 and CXCL16 mRNA↑ in MAC tissue compared to HAT. ↑ corresponding CCR6 and CXCR6 on blood MAITs↓Circulating MAITs = ↑N staging, ↑CEATumor-Killing–MAITs infiltrate tumor[10]/2016
Human, CRCCD3ε+,
CD161++,
Vα7.2+,
MR1-tet+		21 CRC,
21 HAT		Abundant MAITs detected↓MAITs in CRLM compared to HAT↓IFN-γ in CRLM MAITs compared to liver HATN/AInconclusive[23]/2017
Human, CRCCD45+, CD3+, TCRγδ−, CD4−, Vα7.2+,
CD161high		35 CRC
35 HAT,
6 HC		No change between tumor and blood↑MAITs in CRC compared to HATCRC MAITs had ↑ GZM B compared to blood, ↑ PFN compared to HAT. Cytotoxicity potential unchanged.N/AInconclusive[8]/2019
Human, CRC, NSCLC, RCCVa7.2+
MR1-tet+		24 CRC,
11 NSCLC,
9 RCC		No difference between cancer types↑MAITs in CRC compared to NSCLC and RCC. CRC had ↑ CD4+ Foxp3+ MAITs compared to HAT and blood.CRC MAITs ↑TCR signaling and neg. apoptotic regulation pathways, and ↑CD69, CD103, CD38, and CD39 compared to blood and HAT. ↑PD-1 and CTLA-4 ON CD39+ subset.N/AInconclusive–Tumor impairs MAIT functionality[24]/2020
Human, HCCTRAV1-2/TRAJ33,
TRAV1-2/TRAJ20, or TRAV1-2/TRAJ12		6 HCC,
6 HAT		N/A↓MAITs in HCC compared to HATN/A↓MAITs = poor prognosisInconclusive[11]/2017
Human, MMCD3+,
CD161+,
Vα7.2+		14 NDMM, 14 HC↓ Total, CD8+ and DN MAITs compared to HC,
CD4+ MAITs unchanged		↓ Total, CD8+ and DN MAITs in BM compared to HC. CD4+ MAITs unchanged.↓IFN-γ and ↓TNF-α compared to HC. ↑PD-1 in NDMM BM and blood compared to HC.N/AInconclusive–Tumor impairs MAIT functionality[12]/2017
Human, MMTRAV1-2+,
MR1-tet+		30 MM,
26 HC		NDMM had ↑CD4+ and DN,
↓ total and CD8+		No change in BMNDMM MAITs had ↓IFN-γ and ↓CD27 compared to HCN/AInconclusive–tumor impairs MAIT functionality[20]/2018
Human, LCHCD3+,
Vα7.2+,
CD161+,
MR1-tet+		16 LCH
17 HC		↓ Total MAITs, ↑CD4+ MAITs compared to HC↓MAITs compared to HC, MR1 detected in lesionsNormal cytokine profileN/AInconclusive[21]/2018
Human, HCCCD3+, CD4−, CD161+, Vα7.2+,
MR1-tet+		257 HCC,
257 HAT		↓CD4− MAITs compared to HC↓CD4−MAITs compared to HATHCC MAITs had ↑PD-1, ↑CTLA-4, ↑TIM-3, ↑IL-18,
↓IFN-γ, ↓IL-17, ↓GZM B, ↓PFN compared to HAT and HC. ↑CCR6, ↑CXCR6, and ↑CCR9 in HCC blood compared to HCC tumor and liver		↑MAITs in tumor = poor prognosisTumor-Promoting[19]/2019
Human, CCCD3+,
TCRγ𝛿−, Vα7.2+, CD161++		47 CC, 39 HC↓MAITs in CC than in HCN/AN/ATrend of ↓MAITs = more advanced stages; Trend of ↓MAITs = poor PFSInconclusive/Tumor-Killing[13]/2019
Human, CCCD3+, CD161+, Vα7.2+36 CC, 35 controls with UL↑IL-18, ↑CCL3/5, ↑CCR5, ↑Mo-MDSCs, ↑Tregs, ↑CD8+/↑CD4+/↑CD38+CD8+ MAITs, ↓DN MAITs, ↓DN/PD-1+ MAITs in CCN/AN/A↑Total MAITs = ↑Mo-MDSCs,
↑PD-1 DN MAITs = ↑ PFS		Tumor Promoting/
Inconclusive–Depends on MAIT subset		[27]/2021
Human, EACCD3+,
CD161high,
Vα7.2+		79 OAC, 35 BO, 14 HC↓ MAITs in EAC and BE compared to HC↑ MAITs in BE and EAC compared to HAT
  • EAC MAITs had ↓IFN-γ, ↓TNF-α, ↓NKG2D, no change IL-17A compared to BE-adjacent tissue
  • Tumor-conditioned HC MAITs had ↓IFN-γ and ↓TNF-α compared to MAITs in normal media
↓Tumor MAITs = ↑Risk of deathTumor-Killing/
inconclusive–tumor impairs MAIT functionality		[14]/2019
Human, MCD3+, CD8+, Vα7.2+, CD161+28 M on anti-PD-1 TX↑MAITs in responders to PD-1 TX↑MAITs in the TME of responders compared to non-respondersMAITs from responders had ↑CXCR4 and GZMB↑MAITs in blood = Better response to TXTumor-Killing[28]/2021
BC = Breast Carcinoma, BM = Bone Marrow, BE = Barrett’s Esophagus, CC = Cervical Cancer, CEA = Carcinoembryonic Antigen, CRC = Colorectal Cancer, CRLM = Colorectal Liver Metastasis, DN = Double Negative (CD4−CD8−), GZN = Granzyme, EAC = Esophageal Adenocarcinoma, HAT = Healthy Adjacent Tissue, HBD = Healthy Breast Donors, HC = Healthy Controls, HCC = Hepatocellular Carcinoma, LCH = Langerhans Cell Histiocytosis, MAC = Mucosal Associated Cancer, M = melanoma, MM = Multiple myeloma, Mo-MDSCs = Monocytic Myeloid Derived Suppressor Cells, NDMM = Newly Diagnosed Multiple Myeloma, NSCLC = Non-Small Cell Lung Carcinoma, PFN = Perforin, PFS = Progression Free Survival, RCC = Renal Cell Carcinoma, TM = Tumor Margin, TX = Treatment, UL = Uterine Leiomyoma. The ↑ symbol indicates an increase in frequency or expression levels, and the ↓ indicates a decrease in frequency or expression levels.
Table
Table 2. In vivo and in vitro results.
Table 2. In vivo and in vitro results.
In Vitro/In Vivo; Cell TypeMAIT DetectionCytokine ResponseExperimental ResultsTumor Promoting/Tumor Killing/InconclusiveReference
In vitro; HCT116 cells: human colon carcinoma cell lineCD3+, TCRγδ−, CD161+, Vα7.2+Activated HC MAITs produced ↑IL-17, ↑IFN-γ and ↑TNF-α when in contact with HCT116 cellsMAITs isolated from HC ↑ cell cycle arrest at G2/M phase of HCT116 cells in a dose-dependent and contact-dependent mannerTumor-Killing[9]
In vitro; K562 cells: myelogenous leukemia cell lineCD3+, TCRγδ−, CD161+, Vα7.2+N/AActivated MAITs have direct cytotoxic effect on K562 cellsTumor-Killing[10]
In vitro; 5T33MM: MM cell lineCD3+, CD161+, Vα7.2+N/ARe-activation of MAITs by PD-1 blockade → PD-1 may mediate MAIT cell dysfunction in MM. ↓Tumor load in vivoInconclusive/Tumor-Killing—Tumor may impair MAIT functionality[12]
In vitro; RPMI-8226 and U266: MM cell linesTRAV1-2+, MR1-tet+HC MAITs had Type 1 response in killing assay → ↑IFN-γ and ↑TNF-α5-OP-RU loaded MAITs lysed MM cells, with similar kinetics to an NK cell, in a serial killing fashionTumor-Killing[20]
In vitro; MDA-MB-231: BC cell lineCD45+, CD3+, Vα7.2+, CD161+,N/ABacterial-loaded BC cells ↑ IL-17 MAIT productionInconclusive–Tumor may impair MAIT functionality[22]
In vitro; OE33 cells: EAC cell lineCD3+, CD161hi, Vα7.2+N/AHC MAITs ↓ EAC viability Tumor-Killing[14]
In vivo (mouse); Melanoma: LMMR1-tet+N/A↓ LM in MR1 KO, adoptive transfer of MAITs into MR1 KO ↑ LMTumor-Promoting[18]
BC = Breast Carcinoma, EAC = Esophageal Adenocarcinoma, HC = Healthy Controls, KO = Knock Outs, LM = Lung Metastases, MM = Multiple Myeloma. The ↑ symbol indicates an increase in frequency or expression levels, and the ↓ indicates a decrease in frequency or expression levels.
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Cogswell, D.T.; Gapin, L.; Tobin, H.M.; McCarter, M.D.; Tobin, R.P. MAIT Cells: Partners or Enemies in Cancer Immunotherapy? Cancers 2021, 13, 1502. https://doi.org/10.3390/cancers13071502

AMA Style

Cogswell DT, Gapin L, Tobin HM, McCarter MD, Tobin RP. MAIT Cells: Partners or Enemies in Cancer Immunotherapy? Cancers. 2021; 13(7):1502. https://doi.org/10.3390/cancers13071502

Chicago/Turabian Style

Cogswell, Dasha T., Laurent Gapin, Heather M. Tobin, Martin D. McCarter, and Richard P. Tobin. 2021. "MAIT Cells: Partners or Enemies in Cancer Immunotherapy?" Cancers 13, no. 7: 1502. https://doi.org/10.3390/cancers13071502

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