Go to JCI Insight
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Journal stats
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
  • Clinical Research and Public Health
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Gastroenterology
    • Immunology
    • Metabolism
    • Nephrology
    • Neuroscience
    • Oncology
    • Pulmonology
    • Vascular biology
    • All ...
  • Videos
    • ASCI Milestone Awards
    • Video Abstracts
    • Conversations with Giants in Medicine
  • Reviews
    • View all reviews ...
    • Emerging therapeutic strategies in breast cancer (Oct 2026)
    • The cGAS-STING pathway: DNA sensing in health and disease (Jun 2026)
    • Neurodegeneration (Mar 2026)
    • Clinical innovation and scientific progress in GLP-1 medicine (Nov 2025)
    • Pancreatic Cancer (Jul 2025)
    • Complement Biology and Therapeutics (May 2025)
    • Evolving insights into MASLD and MASH pathogenesis and treatment (Apr 2025)
    • View all review series ...
  • Viewpoint
  • Collections
    • In-Press Preview
    • Clinical Research and Public Health
    • Research Letters
    • Letters to the Editor
    • Editorials
    • Commentaries
    • Editor's notes
    • Reviews
    • Viewpoints
    • 100th anniversary
    • Top read articles
  • Search Articles

  • Current issue
  • Past issues
  • Specialties
  • Reviews
  • Review series
  • ASCI Milestone Awards
  • Video Abstracts
  • Conversations with Giants in Medicine
  • In-Press Preview
  • Clinical Research and Public Health
  • Research Letters
  • Letters to the Editor
  • Editorials
  • Commentaries
  • Editor's notes
  • Reviews
  • Viewpoints
  • 100th anniversary
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Journal stats
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
Top
  • View PDF
  • Download citation information
  • Send a comment
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal
  • Top
  • Abstract
  • Introduction
  • γδ T cell development
  • Tumor-suppressive activity of γδ T cells
  • Tumor-promoting activity of γδ T cells
  • Harnessing γδ T cells for cancer therapy
  • Conclusions and outlook
  • Author contributions
  • Conflict of interest
  • Funding support
  • Acknowledgments
  • Footnotes
  • References
  • Version history
  • Article usage
  • Citations to this article

Advertisement

Review Open Access | 10.1172/JCI209159

γδ T cells and cancer

Lukas Bolini,1 Seth B. Coffelt,2,3 Bruno Silva-Santos,4,5 David L. Wiest,6 and Lorenzo Galluzzi1

1Cancer Signaling and Microenvironment Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.

2Cancer Research UK Scotland Institute, Glasgow, United Kingdom.

3School of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.

4Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.

5Gulbenkian Institute for Molecular Medicine, Lisbon, Portugal.

6Nuclear Dynamics and Cancer Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.

Address correspondence to: Lorenzo Galluzzi, Fox Chase Cancer Center, 333 Cottman Avenue, Room P2037, Philadelphia, Pennsylvania 19111-2497, USA. Email: deadoc80@gmail.com.

Find articles by Bolini, L. in: PubMed | Google Scholar

1Cancer Signaling and Microenvironment Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.

2Cancer Research UK Scotland Institute, Glasgow, United Kingdom.

3School of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.

4Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.

5Gulbenkian Institute for Molecular Medicine, Lisbon, Portugal.

6Nuclear Dynamics and Cancer Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.

Address correspondence to: Lorenzo Galluzzi, Fox Chase Cancer Center, 333 Cottman Avenue, Room P2037, Philadelphia, Pennsylvania 19111-2497, USA. Email: deadoc80@gmail.com.

Find articles by Coffelt, S. in: PubMed | Google Scholar |

1Cancer Signaling and Microenvironment Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.

2Cancer Research UK Scotland Institute, Glasgow, United Kingdom.

3School of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.

4Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.

5Gulbenkian Institute for Molecular Medicine, Lisbon, Portugal.

6Nuclear Dynamics and Cancer Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.

Address correspondence to: Lorenzo Galluzzi, Fox Chase Cancer Center, 333 Cottman Avenue, Room P2037, Philadelphia, Pennsylvania 19111-2497, USA. Email: deadoc80@gmail.com.

Find articles by Silva-Santos, B. in: PubMed | Google Scholar

1Cancer Signaling and Microenvironment Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.

2Cancer Research UK Scotland Institute, Glasgow, United Kingdom.

3School of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.

4Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.

5Gulbenkian Institute for Molecular Medicine, Lisbon, Portugal.

6Nuclear Dynamics and Cancer Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.

Address correspondence to: Lorenzo Galluzzi, Fox Chase Cancer Center, 333 Cottman Avenue, Room P2037, Philadelphia, Pennsylvania 19111-2497, USA. Email: deadoc80@gmail.com.

Find articles by Wiest, D. in: PubMed | Google Scholar

1Cancer Signaling and Microenvironment Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.

2Cancer Research UK Scotland Institute, Glasgow, United Kingdom.

3School of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.

4Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.

5Gulbenkian Institute for Molecular Medicine, Lisbon, Portugal.

6Nuclear Dynamics and Cancer Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.

Address correspondence to: Lorenzo Galluzzi, Fox Chase Cancer Center, 333 Cottman Avenue, Room P2037, Philadelphia, Pennsylvania 19111-2497, USA. Email: deadoc80@gmail.com.

Find articles by Galluzzi, L. in: PubMed | Google Scholar |

Published September 1, 2026 - More info

Published in Volume 136, Issue 17 on September 1, 2026
J Clin Invest. 2026;136(17):e209159. https://doi.org/10.1172/JCI209159.
© 2026 Bolini et al. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Published September 1, 2026 - Version history
View PDF
Abstract

γδ T cells are a subset of lymphoid cells that, unlike their αβ lineage counterparts, express a heterodimeric TCR that mostly operates in an MHC-independent manner. γδ T cells are abundant in barrier tissues, where they continuously monitor epithelial cells for signs of stress or damage. Thus, γδ T cells are among the first responders to pathophysiological conditions, including viral infection and oncogenesis. Human γδ T cells can be classified based on TCR γ and δ chain usage into three main subsets: (a) Vγ9+Vδ2+ cells, accounting for most circulating γδ T cells; (b) Vδ1+ cells, which are common in epithelial linings, and (c) Vδ3+ T cells, which are fairly rare but exhibit unique specificities. Moreover, both human and murine γδ T cells can assume a spectrum of states with divergent phenotypic and functional properties. Accumulating evidence demonstrates that γδ T cells can mediate robust anticancer effects or support tumor progression and resistance to therapy, depending on numerous variables, including functional state and tumor type. Here, we critically discuss the context-dependent interaction between γδ T cells and cancer, focusing on recent developments and the challenges facing current efforts to manipulate this versatile lymphocyte subset for therapeutic purposes.

Introduction

γδ T cells are lymphocytes operating at the interface between innate and adaptive immunity (1, 2). Indeed, γδ T cells share several properties with NK cells and other innate lymphoid cells (ILCs) (3–5) in that both γδ T cells and ILCs are activated rapidly and in the absence of priming by immune cells like DCs (1). Moreover, γδ T cells and ILCs recognize stress-induced molecules independent of MHC complexes (3, 4, 6, 7). Conversely, γδ T cells resemble conventional T cells as they arise from hematopoietic precursors in the thymus and express a somatically rearranged heterodimeric TCR associated with CD3 signaling subunits (3). However, unlike conventional T cells (carrying an αβ TCR), which recognize peptide antigens presented on MHC class I (CD8+ T cells) or II (CD4+ T cells) molecules (3), γδ T cells (generally CD4–CD8–) recognize nonpeptide ligands, metabolites, or stress-induced surface proteins in their native state and independent of MHC presentation (3, 7, 8) (Figure 1).

Key features of major lymphoid cell compartments in mammals.Figure 1

Key features of major lymphoid cell compartments in mammals. Mammalian lymphoid cells encompass populations with an innate behavior, rapidly responding to nonspecific signal of cellular stress irrespective of antigen presentation on MHC class I molecules, such as NK cells and other innate lymphoid cell (ILC) subsets. Moreover, the mammalian immune system relies on various populations of cells mounting exquisite antigen-specific, adaptive responses associated with molecular memory, like conventional αδ T cells and B lymphocytes. Finally, multiple mammalian immune cell populations have evolved to exhibit phenotypes and/or functional traits at the interface between innate and adaptive immunity, including γδ and NK T cells. Each of these populations encompasses a spectrum of phenotypically and functionally distinct subsets that mediate highly specialized effector functions, including cellular cytotoxicity, proinflammatory or immunosuppressive cytokine secretion, antibody production, and antigen presentation. BCR, B cell receptor; TCR, T cell receptor.

γδ T cells are critical for the preservation of tissue homeostasis and early responses to viral infection (9, 10). Indeed, through the γδ TCR and other receptors shared with ILCs, γδ T cells recognize molecules induced by metabolic dysregulation, cellular damage, or infection, enabling them to detect infected or transformed cells rapidly and initiate a response before the engagement of conventional adaptive immunity (1, 10). Activated γδ T cells mediate secretory functions, releasing a context-dependent spectrum of cytokines that encompass IFN-γ, TNF, and IL17A (3), as well as cytotoxic effects, via perforin 1–dependent (PRF1-dependent) and granzyme B–dependent (GZMB-dependent) mechanisms or by triggering FAS signaling (3, 11). Finally, some γδ T cell subsets (notably, human Vγ9+Vδ2+ T cells) present peptide antigens to αβ T cells together with adequate costimulatory signals, contributing to αβ T cell priming (12, 13).

Substantial differences exist between human and mouse γδ T cells in terms of subset composition, tissue distribution, and TCR specificity (3), implying that considerable caution must be employed when translating findings from one organism to the other. Most human circulating γδ T cells express a Vγ9+Vδ2+ TCR that detects phosphorylated metabolites, including isopentenyl pyrophosphate (IPP) and E-4-hydroxy-3-methyl-but-2-enyl pyrophosphate (HMBPP) (14–17). This depends on BTN3A1/BTN2A1 dimers that undergo conformational alterations and are exposed on the target cell surface upon binding to IPP or HMBPP intracellularly (18–22). A second major human γδ T cell subset expresses Vδ1 TCR chains and predominates in epithelial linings (and epithelial neoplasms) (23). Human Vδ3+ T cells are rare but (to some extent) enriched in the liver and intestine (23). Finally, while some minor Vδ1+ and Vδ3+ T cell subsets recognize lipids bound to CD1d (resembling NK T cells) (24, 25), they also respond to stress signals commonly recognized by ILCs and to noncanonical MHC molecules (26–28).

Mice lack an equivalent of human Vγ9+Vδ2+ T cells and do not express functional BTN3A1 and BTN2A1 homologs, but they have various γδ T cell subsets defined by Vγ usage and developmental programming (29). Murine γδ T cell functions are primarily defined in the thymus, with effector phenotypes ranging from so-called γδT1 effectors, which are characterized by CD27 and IFN-γ coexpression (30, 31), to γδT17 effectors, which lack CD27 but express CCR6 and IL17A (31, 32). Finally, mouse γδ T cells mostly reside in epithelial/mucosal compartments, encompassing a functionally unique skin-resident subset known as dendritic epidermal T cells (33–36).

Accumulating evidence suggests that γδ T cells can restrain or support cancer progression depending on various intrinsic and extrinsic factors (Figure 2) (2, 37, 38). Here, we critically dissect the context-dependent interaction between γδ T cells and cancer, focusing on promising avenues underlying the manipulation of these lymphocytes for therapeutic purposes.

Context-dependent impact of γδ T cells on tumor progression and response toFigure 2

Context-dependent impact of γδ T cells on tumor progression and response to therapy. γδ T cells exist across a spectrum of phenotypic and functional phenotypes, hence impacting tumor progression and response to therapy in a highly context-dependent manner. (A) So-called γδT1 effectors, which require EOMES and T-bet transcription factors and are characterized by CD27 and IFN-γ coexpression, generally exert potent anticancer activity. This reflects not only the potent antineoplastic effects of IFN-γ itself, but also the ability of γδT1 cells to secrete cytotoxic effectors, including PRF1 and GZMB, and to engage death receptors on the surface of malignant cells. (B) Conversely, γδT17 effectors, which require MAF and RORγt transcriptional activity, lack CD27 but express CCR6 and IL17A, most often promoting cancer progression and resistance to therapy. Such an effect largely emerges from the ability of γδT17 cells to polarize the tumor microenvironment (TME) toward an immunosuppressed state dominated by CSFR1+ and/or CX3CR1+ tumor-associated macrophages (TAMs), KIT+ tumor-associated neutrophils (TANs), and myeloid-derived suppressor cells (MDSCs).

γδ T cell development

γδ T cells arise through a developmental program that (a) unfolds in the thymus, (b) diverges early from αβ T cell differentiation, and (c) is shaped by TCR signaling strength and specific transcriptional networks (39–44). In both mice and humans, T cell progenitors enter the thymus as CD4–CD8– double-negative (DN) thymocytes and progress through distinct stages (DN1–DN4 in mouse) during which the γ, δ, and β genetic loci are rearranged. Commitment to the γδ lineage is dictated by successful rearrangement and surface expression of the γδ TCR prior to DN3 and transduction of strong TCR signals, while αβ lineage commitment is associated with the formation of the so-called pre-TCR (a successfully rearranged β chain and a surrogate α chain known as pTα) and the transduction of weaker/transient signals (40, 43).

In mice, γδ T cell development occurs in ordered waves throughout embryonic and perinatal life, producing functionally distinct subsets characterized by specific TCR chain usage and homing features (29, 45). Early fetal thymic development generates Vγ5+ dendritic epidermal T cells, colonizing the skin, followed by Vγ6+ cells, which seed reproductive tissues and other epithelia (46–48). Subsequent waves produce more diverse Vγ1+ and Vγ4+ populations that circulate or reside in secondary lymphoid organs (10, 46). These waves are associated with distinct transcription factor dependencies: MAF, SOX13, and RORγt are critical for γδT17 cells (31, 32, 49–52), whereas EOMES and T-bet are required for γδT1 effectors (30, 53, 54). The transcription factor ZBTB16 (zinc finger and BTB domain containing 16) also contributes to the development of innate-like γδ T cell populations in mice, particularly those with rapid effector potential (55–58).

A key determinant of effector fate in murine γδ T cells is the strength and context of TCR signaling during thymic selection. Strong, sustained TCR signals support the differentiation of γδT1 effectors, which is associated with CD122 (IL-2 receptor β chain) upregulation and consequent sensitivity to IL-15 (42, 59). Conversely, weaker TCR signals, often along with cytokines such as TGF-β (60), favor γδT17 cell development (61, 62). NOTCH signaling also contributes to early γδ lineage decision, although less profoundly than for αβ T cell development (39).

Human γδ T cell development shares features with its mouse counterpart but lacks clearly defined developmental waves (3). Vγ9+Vδ2+ T cells are thought to arise predominantly during fetal development and expand postnatally in response to phosphorylated species (63). Conversely, Vδ1+ and other Vγ9–Vδ2– γδ T cell subsets are more diverse and enriched in organs like the gut and liver, suggesting developmental programs that support tissue residency and adaptation (64).

Transcriptionally, human γδ T cell subsets segregate into functional lineages like mouse IFN-γ– and IL17A-skewed populations, although developmental timing and stability of these programs are less defined (44). Whereas T-bet and RORγt are consistently associated with IFN-γ– and IL17A-producing human γδ T cells, respectively, EOMES expression is more variable, although detectable in cytotoxic (especially Vδ1+) γδ T cells (65). Single-cell transcriptomic analyses also suggest that human γδ T cell development may involve branching trajectories that are influenced by thymic imprinting plus peripheral cues, including cytokines and tissue-specific signals (1).

In summary, γδ T cell development is governed by an interplay between TCR signaling and cytokine milieu, cooperatively coordinating transcriptional networks that endow differentiated γδ T cells with specific effector programs.

Tumor-suppressive activity of γδ T cells

Since the original demonstration that γδ T cells can effectively control developing tumors (66), accumulating preclinical and clinical evidence has lent additional support to this notion. The anticancer activity of specific γδ T cell subsets (notably γδT1 effectors) reflects their capacity to (a) directly kill cancer cells (via PRF1 and GZMB or by activating FAS in target cells) or (b) release cytokines that mediate direct anti-neoplastic effects and tumor-targeting immune responses at large (e.g., IFN-γ, TNF) (38).

γδ T cells as barriers against experimental oncogenesis. There is abundant literature suggesting that specific γδ T cell subsets curb oncogenesis in preclinical models (Table 1). γδT1 cells effectively counteracted the progression of experimental glioblastomas in mice, a beneficial effect that was antagonized by hypoxia (67). Moreover, γδ T cells exhibiting γδT1 features (e.g., IFN-γ secretion) limit disease progression in immunocompetent models of breast cancer, an effect that depends on type 1 conventional DCs and CD8+ cytotoxic T lymphocytes (CTLs) (68). Accordingly, orthotopically xenografted breast cancer stem cells from patients with triple-negative breast cancer (TNBC) were shown to acquire in vivo resistance to γδ T cells from healthy donors (69), supporting the existence of a selective pressure for evasion from γδ T cells in natural TNBC progression. Moreover, an intratumoral population of CD8αβ+ γδ T cells was shown to expand in a syngeneic mouse breast cancer model, eventually accounting for >50% of IFN-γ–producing γδ T cells, but its impact on tumor progression was not investigated (70). Of note, CD8αβ+ and terminally differentiated CD27+Ly6C+ γδ T cells — whose antitumorigenic abilities are established (71) — share overlapping phenotypes, but their relationship is unclear.

Table 1

γδ T cells in cancer control: preclinical data

In mice exposed to inflammatory challenges or bearing Apc mutations in intestinal cells, γδ T cells colonizing the premalignant intestinal epithelium appear to restrain colorectal cancer (CRC) development, especially when they lack the transcription factor TCF-1 (72–75). However, whereas in the context of colitis-associated CRC, such protection might emerge from improved tissue homeostasis as promoted by IL-22 (72), in APC-defective intestines intraepithelial γδ T cells express IFN-γ, pointing to active immunosurveillance (73, 74). CRCs developing in ApcMin mice indeed excluded γδT1 cells via a β catenin–dependent mechanism (73), culminating with relative enrichment of protumoral γδT17 effectors (74).

Specifically ablating Ifng from otherwise normal γδ T cells promoted the development of chemically induced sarcomas and transplantable melanomas in mice, a detrimental effect that was accompanied by limited CD8+ CTL reactivity against tumor lysates (76). Moreover, γδ T cells (along with CD8+ CTLs) have been implicated in the melanoma-suppressive effects of a junction adhesion molecule–like agonistic antibody (77) and the genetic inhibition of prostaglandin D2 signaling in DCs (78). Paradoxically (see below), IL17A-producing γδ T cells also appear to limit disease progression in a mouse model of gastrointestinal stromal tumor driven by KIT signaling (79).

γδ T cells as effectors of experimental cancer therapies. Preclinical data indicate that γδ T cells contribute to the efficacy of established and experimental anticancer regimens (Table 1). For example, the activity of recombinant IL-2 specifically targeted to CD122 against mouse bladder carcinomas has been mechanistically linked to γδ T cell activation (80). Similarly, an IL-2 variant cotargeted to CD122 and CD132 (IL-2 receptor γ chain), which avoids CD25 (IL-2 receptor α chain) signaling and consequent Treg cell–dependent immunosuppression, has been shown to expand γδ T cells in tumor-naive monkeys (81), although the functional consequences in tumor models were not assessed.

γδ T cells were required for the in vivo efficacy of intravesical Bacillus Calmette-Guérin (BCG) in both mouse and human models of bladder cancer, an effect that was maximized by pharmacological MTOR inhibition (82, 83). This aligns with ex vivo data suggesting that BCG variants can effectively expand an oligoclonal population of IFN-γ–producing CD27+ γδ T cells from human PMBCs (84). Intestinal γδT1 effectors have also been proposed to underlie the anticancer effects of a nanoparticle garlic formulation in melanoma-bearing mice (85), though a direct causal role for γδ T cells in the anticancer effects of this treatment was not assessed. Finally, γδ T cells expressing the cytotoxic molecule GZMA contributed to the efficacy of PD-1 and LAG3 coinhibition in a preclinical model of head and neck cancer, at least partially as effectors of anticancer immunity elicited by tumor-infiltrating FPR1+ neutrophils (86).

Correlation with disease outcomes in cancer patients. Multiple studies have linked γδ T cell infiltration/activation with improved disease outcome in patients with cancer (Table 2). The relative abundance of tumor-infiltrating Vδ1+ cells skewed toward IFN-γ production correlated positively with progression-free survival (PFS) and overall survival (OS) in a cohort of patients with TNBC (87), a finding that was recapitulated bioinformatically in TNBC patients from the METABRIC repository (88). Increased levels of intraepithelial Vδ1+ T cells expressing NKp46 in tumor-free specimens from patients with CRC were associated with a decreased risk for progression to advanced disease (89). Similarly, γδ T cell density positively correlated with extended OS in two cohorts of patients with CRC, independent of other tumor characteristics (90), and their enrichment was associated with mismatch repair (MMR) defects and (irrespective of MMR status) B2M (encoding beta 2 microglobulin) deficiency, which prevents MHC class I expression at the plasma membrane (90). Similar findings were obtained in an independent cohort of patients with MMR-deficient CRC (91). Reduced TCF-1 levels also correlate with γδ T cell cytotoxicity and improved survival in patients with CRC (75), lending additional support to the notion that TCF-1 limits tumor control by γδ T cells. Moreover, TRDV1 (which encodes Vδ1) levels appear to be reduced in microsatellite-stable CRC samples compared with healthy colonic tissues, even more so in stage IV versus stage III lesions (92), corroborating the idea that intraepithelial Vδ1+ T cells suppress colorectal carcinogenesis.

Table 2

γδ T cells in cancer control: clinical data

Activated (CD69+) Vδ1+ T cell numbers in peritumoral regions correlate with limited metastatic burden and improved OS in patients with liver metastases from CRC, as do the numbers of blood-borne terminally differentiated CD69+Vδ1+ T cells (93). Whether these Vδ1+ T cells express Vγ9 and are activated downstream of metabolic dysregulation (94) has not been investigated. Intriguingly, human CRC appears to be infiltrated by Vδ1+ T cells expressing amphiregulin and exhibiting limited cytotoxicity, and expansion strategies circumventing their emergence reportedly result in γδ T cells with superior tumor-infiltrating and cytotoxic potential (37).

In patients with non–small cell lung carcinoma (NSCLC), the intratumoral abundance of CD45RA–CD27– effector memory Vδ1+ T cells, as well as the numbers of tissue-resident CD103+Vδ1+ T cells in nonmalignant lung tissues, have been linked with superior PFS after surgery (95). Moreover, a genetic signature of Vδ2+ T cells expressing NKG2A reportedly correlates with improved OS in patients with NSCLC and hepatocellular carcinoma (HCC) (96). The positive impact of tissue-resident γδ T cells on survival in patients with HCC has been validated in an independent study, irrespective of the relative depletion of Vγ9+Vδ2+ T cells (97). In contrast, the prognostic impact of Vδ2+ T cells in glioblastoma remains to be clarified. Indeed, intratumoral Vδ2+ T cells have been reported to positively correlate with disease outcomes in one study (98), but in an independent work, Vδ2+ T cell signatures failed to correlate with improved OS, possibly because of overexpression of the immunosuppressive NKG2A ligand HLA-E (96).

The intratumoral abundance of γδ T cells, specific subsets thereof, and/or their ex vivo sensitivity to stimulation have also been associated with improved outcome in cohorts of patients with bladder (99), cervical (100), renal (101), and ovarian (102) cancer, but not medulloblastoma, despite pronounced variations across patient subgroups (103). In ovarian cancer, Treg cells were inferred to be responsible for the contraction of γδ T cell responses associated with metastatic dissemination and poor outcome (104), potentially downstream of IL-2 depletion (105). Moreover, in patients with cervical cancer, genetic signatures of γδ T cell exhaustion correlated with BTN3A1 expression (as part of a negative feedback loop elicited by IFN-γ) and poor disease outcome (106), reinforcing the notion that cervical cancer is under immunosurveillance by IFN-γ–producing γδ T cells. Finally, the intratumoral levels of TRDC (a proxy for γδ T cell abundance) were associated with superior OS in patients with resected gastrointestinal stromal tumor (79).

Correlation with therapeutic responses in cancer patients. γδ T cell infiltrates have been correlated with improved sensitivity to treatment in patients affected by various neoplasms (Table 2). The γδ T cell fraction, as assessed by immune-related metagenes at baseline, was associated with PCR in patients with HER2+ breast cancer receiving neoadjuvant therapy (107). Similarly, inflammatory breast cancer (which is sensitive to immune checkpoint inhibitors [ICIs]) (108, 109) appears to exhibit a superior γδ T cell infiltrate compared with its noninflammatory counterpart (110), and patients with TNBC responding to a PD-L1 blocker manifested a longitudinal increase in circulating γδ T cells compared with nonresponders (111).

In patients with hepatic metastases from MMR-defective CRC, circulating IL-18 levels have been associated with improved sensitivity to ICIs through preserved IFN-γ secretion by intratumoral Vδ1+ T cells (112). Moreover, intratumoral Vδ1+ and Vδ3+ T cell levels were increased after treatment with ICIs specific for CTLA4 and PD-1 in an independent cohort of patients with MMR-deficient CRC lacking B2M (91). Transcriptional programs linked to retained effector functions in Vδ2– T cells were also enriched in patients with renal cell carcinoma (RCC) responding to a PD-L1 blocker versus nonresponders (101). Furthermore, the intratumoral levels of TRDV1 and the abundance of tumor-infiltrating Vδ1+ T cells appear to predict responsiveness to PD-1 inhibitors in patients with melanoma (113, 114), perhaps even more profoundly when intratumoral Vδ1+ T cells downregulate inhibitory KIR receptors during treatment (115). A similar connection between intratumoral Vδ1+ T cells and sensitivity to ICIs has been documented in patients with Merkel cell carcinoma (116, 117). That said, γδ T cells from sentinel lymph nodes of melanoma patients express increased CTLA4 levels (118), potentially indicating exhausted or otherwise dysfunctional phenotypes (119).

Thus, γδ T cells not only mediate anticancer effects in preclinical tumor models, but also correlate with improved cancer outcomes in clinical settings. More specifically, human Vδ1+ T cells stand out as a powerful tumor-targeting γδ T cell subset, although some Vδ2+ populations also exhibit antineoplastic activity. Numerous strategies harnessing these γδ T cell populations for therapeutic purposes are being developed.

Tumor-promoting activity of γδ T cells

Specific γδ T cell populations promote tumor progression, often by favoring the establishment of an immunosuppressive tumor microenvironment (TME). Such an activity may result not just from the reconfiguration of intratumoral cytokine networks as driven by IL17A, TGF-β, and IL-10, but also from the contact-dependent inhibition of immune effectors (120).

γδ T cells as drivers of experimental oncogenesis. An expanding preclinical literature suggests that specific γδ T cell subsets promote tumor progression (Table 3). IL17A-producing γδ T cells have been associated with accrued metastatic dissemination in multiple models of TNBC (121, 122), in some cases by promoting the expansion of immature neutrophils expressing KIT that precondition metastatic niches (122). In line with these findings, neoplastic lesions relapsing after the genetic eradication of rapidly proliferating malignant cells in mice expressing the polyomavirus middle T antigen in mammary epithelia were enriched in γδ T cells expressing IL17A and RORγt (123). Intriguingly, the tumor-promoting activity of IL17A-secreting γδ T cells may be related to the expression of the coinhibitory receptor TIM-3 by some breast cancer cell populations (121), pointing to TIM-3 as a promising target to intercept the expansion of tumor-promoting γδ T cells prior to TNBC dissemination. Moreover, γδT17 effectors appear to expand (intratumorally and systemically) in mice bearing syngeneic TNBC lesions and exposed to a high-fat diet, at least partially owing to the ability of γδT17 cells to efficiently metabolize lipids (124). However, whether the tumor-promoting effects of a high-fat diet are mechanistically linked to IL17A-secreting γδ T cells remains to be established.

Table 3

γδ T cells in tumor progression and resistance to therapy: preclinical data

Tumor promotion by IL17A-producing γδ T cells and KIT+ neutrophils has also been documented in mouse models of anal cancer based on KRASG12D expression in transition zone epithelial cells and repeated wounding (125). Similarly, RORγt-dependent IL17A-producing Vγ4+ and Vγ6+ cells have been mechanistically implicated in colitis-driven CRC in mice (74). Moreover, γδ T cell subsets expressing CD39, an ectonucleotidase with prominent immunosuppressive effects (126, 127), appear to promote local and distant tumor progression in preclinical models of right-sided CRC, at least partially resulting from differential arachidonic acid metabolism in right-sided versus left-sided CRC cells (128). A similar tumor-promoting activity has been attributed to γδ T cells in preclinical models of NSCLC (129) and pancreatic ductal adenocarcinoma (PDAC) (130). In NSCLC-bearing mice, MAF (a critical specifier of the γδT17 effector fate) (50) was required for γδ T cells to accelerate disease progression (129), highlighting it as a potential target to inhibit tumor-supporting γδ T cells. Finally, a population of CD27–Vγ1+ T cells has been proposed to promote a profibrotic program in pulmonary macrophages (131). While this program was associated with poor outcome in patients with lung adenocarcinoma, however manipulating Vγ1+ T cells had no impact on tumor progression in preclinical NSCLC models (131).

γδ T cells as barriers against experimental cancer therapies. Emerging preclinical evidence suggests that specific γδ T cell populations limit the efficacy of common anticancer therapeutics (Table 3). For instance, IL17A-producing γδ T cells were shown to counteract the (immuno)therapeutic effects of CDK4/6 inhibitors (132) in a mouse model of HR+HER2– breast cancer, at least partially by promoting the repolarization of tumor-associated macrophages (TAMs) toward an immunosuppressive phenotype (133, 134). Along similar lines, Vγ4+ and Vγ6+ T cells secreting IL17A mediated resistance to ICIs targeting TIM-3 and PD-1 in preclinical models of breast cancer, largely reflecting the ability of TIM-3 and PD-1 blockers to promote the expansion of these immunosuppressive γδ T cell subsets (135), Moreover, γδ T cells were decreased in the microenvironment of experimental TNBC effectively controlled by chemotherapy or ICIs (136).

IL17A-producing Vγ1+ T cells have been associated with resistance to ICIs in preclinical models of CRC and B cell lymphoma, reflecting their ability to repolarize the TME toward an immunosuppressive configuration involving myeloid-derived suppressor cells (MDSCs) upon activation by BTNL2+ malignant cells (137). Likewise, IL17A-secreting IL23R+ γδ T cells reportedly limit the therapeutic efficacy of radiation therapy in immunocompetent mice bearing subcutaneous NSCLCs (138). Interestingly, in this latter setting, γδ T cell recruitment was ascribed to CCL20 secretion by a population of TAMs engulfing tumor-derived microparticles containing dsDNA and hence activating indolent STING signaling (138). This is aligned with an expanding literature indicating that indolent STING responses paradoxically favor the establishment of an immunosuppressive TME (139).

Negative correlation with disease outcomes in cancer patients. The ability of specific populations of γδ T cells to support tumor progression has also been documented in clinical datasets (Table 4). Intratumoral γδ T cells positively correlated with tumor stage, HER2 expression, and lymph node involvement, as well as shortened survival, in a cohort of patients with multiple breast cancer subtypes (140). Likewise, in patients with HR+HER2– breast cancer, intratumoral γδ T cell abundance correlated positively with disease stage (133). Moreover, genetic signatures of γδ T cells or active IL17A signaling were associated with shortened OS in patients with HR+HER2– breast cancer from public transcriptomic repositories (133). Finally, circulating Vδ1+ T cells from patients with metastatic TNBC appear to produce increased IL17A levels compared with Vδ1+ T cells from healthy women, an alteration that was associated with functional shifts in circulating neutrophils (141).

Table 4

γδ T cells in tumor progression and resistance to therapy: clinical data

Negative correlation with therapeutic responses in cancer patients. A higher-than-median circulating count for activated (IL7R+) γδ T cells at baseline in patients with HR+HER2– breast cancer has been associated with shortened PFS upon treatment with CDK4/6 inhibitors and endocrine therapy (133). Similarly, in a small set of paired biopsies from women with HR+HER2– breast cancer undergoing the same treatment, intratumoral γδ T cells were markedly increased at disease relapse (133). Moreover, the circulating levels of Vδ1+ T cells at baseline have been associated with reduced OS in patients with melanoma receiving ICIs, potentially reflecting a senescent-like phenotype that was not evident in intratumoral Vδ1+ T cells (114). Finally, γδ T cells manifesting transcriptional signatures of cell cycle progression and suppressed immune signaling have been associated with resistance to ICIs in a cohort of patients with melanoma (142).

Altogether, these observations suggest that specific γδ T cell subsets promote tumor progression and resistance to (immuno)therapy. In this context, γδT17 effectors stand out as promising targets for the development of novel therapeutic strategies against a variety of neoplasms.

Harnessing γδ T cells for cancer therapy

Emerging evidence indicates that γδ T cells can effectively be exploited for cancer therapy, based on two major paradigms: (a) harnessing and/or boosting the natural propensity of IFN-γ–producing γδ T cells to mediate anticancer effects and (b) inhibiting the tumor-promoting activity of IL17A-secreting γδ T cells (Figure 3).

Therapeutic strategies harnessing γδ T cells for cancer therapy.Figure 3

Therapeutic strategies harnessing γδ T cells for cancer therapy. Multiple strategies harnessing the immunobiology of γδ T cells are being explored to expand our therapeutic armamentarium against malignant disorders. Such strategies encompass approaches that leverage the potent anticancer effects of γδT1 cells, such as (A) the administration of agents reinvigorating or engaging endogenous γδT1 cells, including ZA, BTN2A1 agonists, γδ T cell–targeting BiTEs, and ICIs; (B) the infusion of ex vivo expanded (but otherwise unmodified) autologous or allogenic γδ T cells, optionally along with immunostimulatory agents like ICIs or BTN3A1 blockers; (C) the infusion of ex vivo expanded γδ T cells that have been engineered to express a tumor-targeting CAR and/or immunostimulatory molecules (e.g., IL-15), also optionally in combination with ICIs or other immunostimulants. (D) Blocking the immunosuppressive activity of γδT17 cells has also been shown to mediate anticancer effects (at least in preclinical tumor models). The latter paradigm has largely been built on strategies interfering with γδT17 cell recruitment, including focal radiation therapy as well as BTNL2 and CCL2 blockage, or functions, including PD-L1 or IL17A blockage, ultimately in support of restored CD8+ CTL responses.

Activating endogenous γδ T cells. Engaging endogenous γδT1 cells has been shown to effectively control disease progression in preclinical tumor models. For instance, antibody-drug conjugates specific for EGFR and loaded with zoledronic acid (ZA) analogs exerted therapeutic activity linked to Vδ2+ T cell expansion in preclinical CRC models (143). Likewise, ZA, BCG, and a BTN3-specific agonistic antibody elicited robust activation of Vδ2+ T cells isolated from human bladder neoplasms (99). A BTN2A1 agonist has also been shown to promote the antineoplastic effects of Vγ9+Vδ2+ T cells against various human cancer cell lines and primary acute lymphoblastic leukemia cells (144). Such an effect may also be achievable with pharmacological AMPK activators, reflecting the ability of AMPK to control BTN2A1 and BTN3A expression in malignant cells (145).

A CD34- and CD3-targeting bispecific T cell engager (BiTE) has been shown to effectively engage γδ T cells against acute myeloid leukemia targets while sparing healthy CD34+ hematopoietic stem cells as well as CD34dim endothelial cells from the blood-brain barrier (146). Similar efficacy was documented with a BiTE specific for Vγ9+Vδ2+ T cells and CD19 in preclinical models of CD19+ lymphoma (147), although in vivo toxicity against nonmalignant CD19+ cells was not assessed. A Vδ2- and PD-L1–specific BiTE has recently been reported to trigger Vδ2+ T cell cytotoxicity against human melanoma and RCC cellular systems in vitro (148). Interestingly, this activity was associated with the Vδ2+ T cell–dependent elimination of PD-L1+ myeloid cells as well as the upregulation of activation markers in CD4+ and CD8+ T cells (148).

γδ T cell–based cell therapies. The adoptive transfer of natural or genetically engineered γδ T cells has also been consistently associated with anticancer activity in preclinical tumor models, a beneficial effect that in many cases could be boosted by expanding γδ T cells in specific culture conditions of coadministering pharmacological agents limiting dysfunction. Adoptively transferring human Vγ9+Vδ2+ cells effectively controlled human TNBC lesions developing in immunodeficient mice, even more so when delivered along with the HIF1A inhibitor PX478 (149). A similar therapeutic effect has been documented in immunocompetent murine models of breast cancer upon adoptive transfer of mouse γδ T cells exhibiting features of γδT1 effectors (e.g., CD27 expression, IFN-γ secretion), especially when expanded ex vivo with high-dose glucose (71, 124). Moreover, human γδ T cells exerted robust antineoplastic activity against leukemia, both in vitro and in vivo, a therapeutic effect that was more pronounced when γδ T cells were isolated after physical exercise (potentially owing to increased adrenergic signaling) (150).

Human Vδ1+ cells expanded in vitro (also known as Delta One T or DOT cells) (38, 151) efficiently killed human CRC cell lines and organoids, both in vitro and in vivo (in immunodeficient mice), by a mechanism that can be boosted by butyrate (increasing the expression of NKG2D ligands on neoplastic cells) as well as dual PD-1 and TIGIT blockage (152). A similar effect has been documented in mice bearing human NSCLC xenografts and inoculated with Vδ1-enriched γδ T cells in the optional presence of DNA methyltransferase inhibitors, which increased efficacy by upregulating γδ T cell ligands on malignant cells (153). An ICI specific for PD-1 alone or combined with other immunostimulatory agents also efficiently improved the therapeutic activity of adoptively transferred human Vγ9+Vδ2+ cells in immunodeficient mice bearing human solid tumor xenografts (154, 155).

Blocking BTN3A1 (which is expressed by malignant cells responding to IFN-γ and promotes γδ T cell exhaustion) (106) also appears to enhance the activation of adoptively delivered Vγ9+Vδ2+ T cells and restore (adoptively transferred) αβ T cell activation in immunodeficient mice bearing human ovarian carcinoma (156). Additional strategies that have been successfully employed with this objective include providing γδ T cells with TGF-β during expansion (157) as well as coadministering them with retinoic acid, a strategy that robustly limited TIM-3 expression by γδ T cells (and dysfunction at large) in preclinical models of nasopharyngeal carcinoma (158).

Promising observations have also been made with γδ T cells genetically engineered to secrete synthetic tumor-targeting antibodies along with an IL15-IL15RA fusion protein (159) or artificially redirected against EGFR-expressing cancer cells upon conjugation with an EGFR-specific antibody (160). That said, recent efforts aimed at the generation of powerful γδ T effectors for adoptive cell transfer have focused on the CAR technology, building on the expectation that γδ T cells may be better suited than αβ T cells for an off-the-shelf CAR T product (161). The therapeutic potential of adoptively transferred CAR γδ T cells has been documented in several human xenograft models established in immunodeficient mice, including models of (a) acute myeloid leukemia, based on DOT cells targeting IL3RA (162); (b) HIV-1–associated B cell lymphoma, harnessing γδ T cells targeting CD19 and rendered CCR5 defective (hence, HIV-1 resistant) (163); (c) HCC, using DOT cells targeting GPC3 and engineered to secrete IL-15 (164); (d) NSCLC, based on γδ T cells targeting EGFR and engineered to coexpress CCR6 and a soluble PD-1 blocker (165); (e) PDAC, harnessing DOT cells or Vδ2+ T cells targeting PSCA (166); (f) ovarian cancer, using DOT cells targeting ERBB2 (167); (g) prostate carcinoma, with Vγ9+Vδ2+ CAR T cells targeting PSCA and expanded with ZA (168); and (h) various other hematological and solid neoplasms, based on γδ T cells targeting CD70 and expressing dominant-negative TGF-β receptors (169).

Lending support to durable anticancer activity of γδ T cells, a population of CAR γδ T cells has been shown to persist in the circulation of patients with chronic lymphocytic leukemia more than a decade after complete remission upon receiving CD19-redirected CAR T cells (170). Moreover, ZA-expanded autologous Vγ9+Vδ2+ T cells were well tolerated and associated with disease control rate of 68% in 25 patients with NSCLC enrolled in a single-arm, phase II clinical trial, although the primary objective of the study (PFS > 4 months) was not met (171). Similar findings have been documented in preliminary form in several other clinical trials testing γδ T cells in patients with cancer (172–174), but clinical data remain immature at this stage (92, 175, 176).

Preventing γδ T cell dysfunction or tumor promotion. An alternative therapeutic strategy is to intercept (or actively reverse) γδ T dysfunction in progressing neoplasms. This can be achieved with ICIs, including conventional PD-1 inhibitors, which effectively restored tumor-targeting γδ T cell responses against cultured human breast cancer stem-like cells (175). In addition, investigational agents, like TIGIT blockers, have been effectively harnessed to recover the cytotoxic activity of Vδ1+ T cells against human CRC cells in vitro (92). A similar improvement in the cytotoxic activity of γδ T cells against cultured human breast cancer stem-like cells was achieved with the metalloprotease inhibitor GW280264X, at least partially reflecting suppressed MICA shedding from malignant cells (175). Moreover, γδ T cell activation against human neuroblastoma cells elicited by ganglioside D2 (GD2)-specific antibodies can be effectively boosted by suppressing YAP signaling, largely as a consequence of increased GD2 synthesis (176).

Effectively inhibiting the tumor-promoting activity of specific γδ T cell populations has also been associated with antineoplastic effects in preclinical tumor models. For instance, PDAC-promoting γδ T cells were shown to express elevated levels of PD-L1, and blocking it with a specific ICI effectively restored tumor control by αβ T cells in a mouse model of this aggressive tumor (130). Similarly, IL17A-secreting γδ T cells have been shown to promote the resistance of HR+HER2– mammary tumors to CDK4/6 inhibitors plus endocrine therapy, and interrupting their recruitment (with radiation therapy or a CCL2 neutralizer) or activity (with a γδ TCR blocker or an IL17A neutralizer) has been associated with superior treatment sensitivity in mice (133, 177, 178). Of note, IL17A-secreting γδ T cells appear to be recruited to various solid malignancies via a BTNL2-dependent mechanism, and in mice, interrupting this pathway effectively restores immunological tumor control (137).

Additional strategies. Promising but hitherto underdeveloped therapeutic approaches based on the γδ T cell biology include (a) bispecific molecules involving a CD3-targeting moiety and the extracellular domains of tumor-reactive Vγ9Vδ2 TCRs to effectively redirect αβ T cells to cancer cells (179), (b) the delivery of γδ T cell–derived exosomes as an approach to improve radiosensitivity (180), and (c) the use of γδ TCR sequences to engineer CARs for transducing conventional, unselected for lineage, T cells (181, 182).

Conclusions and outlook

Multiple treatments that build on the immunobiology of γδ T cells and cancer are emerging, including strategies under active clinical development (Table 5). However, there are numerous obstacles to unlocking the full potential of γδ T cells as actionable targets for cancer immunotherapy.

Table 5

Clinical trials harnessing the immunobiology of γδ T cells for cancer therapy

First, unlike conventional αβ T cells, γδ T cells often fail to sustain proliferation for long periods after infusion, reducing the durability of responses. Strategies that are being investigated to circumvent this issue include the transgene-enforced or pharmacological provision of mitogenic cytokines (e.g., IL-2, IL-15) and/or activating molecules (e.g., ICIs) (157, 159, 164, 165, 183–186), the development of improved ex vivo expansion protocols (167, 187), and repeated dosing (184).

Second, different γδ T cell subsets, even when cytotoxic a priori (e.g., Vδ1+ vs. Vγ9+Vδ2+), exhibit considerably divergent functions, which complicates clinical applicability, especially in the context of immunosuppressive TMEs (37, 95, 101, 188). A deeper understanding of the (immuno)biology of specific γδ T cell populations, enabling selective expansion protocols and genetic engineering strategies to fine-tune anticancer activity, is required to overcome this limitation.

Third, factors such as TGF-β, hypoxia, and abundant levels of MDSCs and/or immunosuppressive TAMs impair the antineoplastic effects of γδ T cells (67, 189–191). In this context, combinatorial regimens involving ICIs, metabolic reprogrammers, and/or additional agents that remodel the TME represent promising avenues to restore the anticancer activity of natural or adoptively transferred γδ T cells.

Finally, selective targeting strategies are lacking, especially for approaches aiming to inhibit or eliminate tumor-promoting γδ T cells, as interfering with cytokine signaling at large may impair healthy tissue homeostasis (e.g., in epithelial linings) (192–195), highlighting an urgent need for the development of more specific interventions.

In conclusion, γδ T cells represent a promising, though still evolving, platform for cancer therapy. Addressing these and other obstacles may soon lead to the development of clinically approved therapeutic protocols building on this peculiar lymphocyte subset.

Author contributions

LB and LG conceived the article. LB and LG wrote the first version of the manuscript with critical input from SBC, BSS, and DLW. LB prepared display items under supervision from LG. All authors approved the submitted version of the article.

Conflict of interest

BSS holds a research contract with Takeda Development Center Americas. LG holds or has held research contracts with Lytix Biopharma, Promontory, and Onxeo; has received consulting/advisory honoraria from Boehringer Ingelheim, AstraZeneca, OmniSEQ, Onxeo, The Longevity Labs, Inzen, Imvax, Sotio, Promontory, Noxopharm, EduCom, and the Luke Heller TECPR2 Foundation; and holds Promontory stock options.

Funding support

This work is the result of NIH funding, in whole or in part, and is subject to the NIH Public Access Policy. Through acceptance of this federal funding, the NIH has been given a right to make the work publicly available in PubMed Central.

  • Kirby Training Fellowship from Fox Chase Cancer Center (to LB).
  • Breast Cancer Now (2024.11PR1736, 2019DecPhD1349, and 2018JulPR1101 to SBC).
  • Cancer Research Institute (CRI3692 to SBC).
  • Cancer Research UK (A25142, CTRQQR-2021\100006, DRCNPG-Jun22\100007, PRCBRP-Nov23/100019, and RCCCEA-Nov21\100003 to SBC).
  • Annie McNab Bequest (to the Cancer Research UK Scotland Institute).
  • Medical Research Council (MR/X018326/1 to SBC).
  • Medical Research Scotland (PHD-50669-2023 to SBC).
  • Wellcome Trust (208990/Z/17/Z to SBC).
  • Worldwide Cancer Research/Pancreatic Cancer UK (22-00135 to SBC).
  • Research agreement with Takeda Development Center Americas (BSS).
  • NIH grant P01AI102853 (to DLW).
  • NIH R01 grant (CA271915 to LG).
  • Breakthrough Level 2 grants from the US Department of Defense Breast Cancer Research Program (BC180476P1 and BC210945 to LG’s lab).
  • STARR Cancer Consortium grant (I16-0064 to LG).
  • Transformative Breast Cancer Consortium Grant from the US Department of Defense Breast Cancer Research Program (W81XWH2120034 to Silvia C. Formenti).
  • U54 grant from NIH/National Cancer Institute (CA274291 to Joseph O Deasy, Silvia C Formenti, and Ralph Weichselbaum).
  • 2019 Laura Ziskin Prize in Translational Research from Stand Up to Cancer (ZP-6177 to Silvia C Formenti).
  • Mantle Cell Lymphoma Research Initiative grant from the Leukemia and Lymphoma Society (to Selina Chen-Kiang).
  • Rapid Response Grant from the Functional Genomics Initiative (to LG).
  • Pre-SPORE grant (to Sandra Demaria and Silvia C Formenti).
  • Collaborative Research Initiative Grant and Clinical Trials Innovation Grant from the Sandra and Edward Meyer Cancer Center (to LG).
  • Startup funds from the Department of Radiation Oncology at Weill Cornell Medicine (to LG).
  • Startup funds from Fox Chase Cancer Center (to LG’s lab).
  • Industrial collaborations with Lytix Biopharma, Promontory, and Onxeo (to LG).
  • Donations from Promontory, the Luke Heller TECPR2 Foundation, Sotio a.s., Lytix Biopharma, Onxeo, Ricerchiamo, Noxopharm, The Eileen Stein Jacoby Fund, Dora Vardaro, and Pat Pasquarello (to LG).
Acknowledgments

LG is grateful to the William Guy Forbeck Research Foundation (Carbondale, Colorado, USA) for fostering the dissemination of knowledge, promoting scientific collaboration, and supporting the training of the next generation of leaders in cancer research.

Address correspondence to: Lorenzo Galluzzi, Fox Chase Cancer Center, 333 Cottman Avenue, Room P2037, Philadelphia, Pennsylvania 19111-2497, USA. Email: deadoc80@gmail.com.

Footnotes

Copyright: © 2026, Bolini et al. This is an open access article published under the terms of the Creative Commons Attribution 4.0 International License.

Reference information: J Clin Invest. 2026;136(17):e209159. https://doi.org/10.1172/JCI209159.

References
  1. Solé Casaramona A, et al. γδ T cells at the interface of innate and adaptive immunity in cancer. J Immunother Cancer. 2026;14(3):e013668.
    View this article via: CrossRef PubMed Google Scholar
  2. Silva-Santos B, et al. γδ T cells: pleiotropic immune effectors with therapeutic potential in cancer. Nat Rev Cancer. 2019;19(7):392–404.
    View this article via: CrossRef PubMed Google Scholar
  3. Hu Y, et al. γδ T cells: origin and fate, subsets, diseases and immunotherapy. Signal Transduct Target Ther. 2023;8(1):434.
    View this article via: CrossRef PubMed Google Scholar
  4. Vivier E, et al. Innate lymphoid cells: 10 years on. Cell. 2018;174(5):1054–1066.
    View this article via: CrossRef PubMed Google Scholar
  5. Hayday A, et al. Cancer immunotherapy by γδ T cells. Science. 2024;386(6717):eabq7248.
    View this article via: CrossRef PubMed Google Scholar
  6. Chen S, et al. Comprehensive snapshots of natural killer cells functions, signaling, molecular mechanisms and clinical utilization. Signal Transduct Target Ther. 2024;9(1):302.
    View this article via: CrossRef PubMed Google Scholar
  7. Deseke M, Prinz I. Ligand recognition by the γδ TCR and discrimination between homeostasis and stress conditions. Cell Mol Immunol. 2020;17(9):914–924.
    View this article via: CrossRef PubMed Google Scholar
  8. Hayday AC, Vantourout P. The innate biologies of adaptive antigen receptors. Annu Rev Immunol. 2020;38:487–510.
    View this article via: CrossRef PubMed Google Scholar
  9. Ravens S, et al. Human γδ T cells are quickly reconstituted after stem-cell transplantation and show adaptive clonal expansion in response to viral infection. Nat Immunol. 2017;18(4):393–401.
    View this article via: CrossRef PubMed Google Scholar
  10. Ribot JC, et al. γδ T cells in tissue physiology and surveillance. Nat Rev Immunol. 2021;21(4):221–232.
    View this article via: CrossRef PubMed Google Scholar
  11. Wesch D, et al. Tumor resistance mechanisms and their consequences on γδ T cell activation. Immunol Rev. 2020;298(1):84–98.
    View this article via: CrossRef PubMed Google Scholar
  12. Brandes M, et al. Professional antigen-presentation function by human gammadelta T Cells. Science. 2005;309(5732):264–268.
    View this article via: CrossRef PubMed Google Scholar
  13. Brandes M, et al. Cross-presenting human gammadelta T cells induce robust CD8+ alphabeta T cell responses. Proc Natl Acad Sci U S A. 2009;106(7):2307–2312.
    View this article via: CrossRef PubMed Google Scholar
  14. Hintz M, et al. Identification of (E)-4-hydroxy-3-methyl-but-2-enyl pyrophosphate as a major activator for human gammadelta T cells in Escherichia coli. FEBS Lett. 2001;509(2):317–322.
    View this article via: CrossRef PubMed Google Scholar
  15. Tanaka Y, et al. Natural and synthetic non-peptide antigens recognized by human gamma delta T cells. Nature. 1995;375(6527):155–158.
    View this article via: CrossRef PubMed Google Scholar
  16. Morita CT, et al. Direct presentation of nonpeptide prenyl pyrophosphate antigens to human gamma delta T cells. Immunity. 1995;3(4):495–507.
    View this article via: CrossRef PubMed Google Scholar
  17. Herrmann T, Karunakaran MM. Phosphoantigen recognition by Vγ9Vδ2 T cells. Eur J Immunol. 2024;54(11):e2451068.
    View this article via: CrossRef PubMed Google Scholar
  18. Wang H, et al. Butyrophilin 3A1 plays an essential role in prenyl pyrophosphate stimulation of human Vγ2Vδ2 T cells. J Immunol. 2013;191(3):1029–1042.
    View this article via: CrossRef PubMed Google Scholar
  19. Vavassori S, et al. Butyrophilin 3A1 binds phosphorylated antigens and stimulates human γδ T cells. Nat Immunol. 2013;14(9):908–916.
    View this article via: CrossRef PubMed Google Scholar
  20. Rigau M, et al. Butyrophilin 2A1 is essential for phosphoantigen reactivity by γδ T cells. Science. 2020;367(6478):eaay5516.
    View this article via: CrossRef PubMed Google Scholar
  21. Karunakaran MM, et al. Butyrophilin-2A1 directly binds germline-encoded regions of the Vγ9Vδ2 TCR and is essential for phosphoantigen sensing. Immunity. 2020;52(3):487–498.
    View this article via: CrossRef PubMed Google Scholar
  22. Harly C, et al. Key implication of CD277/butyrophilin-3 (BTN3A) in cellular stress sensing by a major human γδ T-cell subset. Blood. 2012;120(11):2269–2279.
    View this article via: CrossRef PubMed Google Scholar
  23. Kenna T, et al. Distinct subpopulations of gamma delta T cells are present in normal and tumor-bearing human liver. Clin Immunol. 2004;113(1):56–63.
    View this article via: CrossRef PubMed Google Scholar
  24. Kawano T, et al. CD1d-restricted and TCR-mediated activation of valpha14 NKT cells by glycosylceramides. Science. 1997;278(5343):1626–1629.
    View this article via: CrossRef PubMed Google Scholar
  25. Porcelli S, et al. Recognition of cluster of differentiation 1 antigens by human CD4-CD8-cytolytic T lymphocytes. Nature. 1989;341(6241):447–450.
    View this article via: CrossRef PubMed Google Scholar
  26. Groh V, et al. Recognition of stress-induced MHC molecules by intestinal epithelial gammadelta T cells. Science. 1998;279(5357):1737–1740.
    View this article via: CrossRef PubMed Google Scholar
  27. Le Nours J, et al. A class of γδ T cell receptors recognize the underside of the antigen-presenting molecule MR1. Science. 2019;366(6472):1522–1527.
    View this article via: CrossRef PubMed Google Scholar
  28. Willcox CR, et al. Cytomegalovirus and tumor stress surveillance by binding of a human γδ T cell antigen receptor to endothelial protein C receptor. Nat Immunol. 2012;13(9):872–879.
    View this article via: CrossRef PubMed Google Scholar
  29. Mallu ACT, et al. Seven subsets, two fates: mouse γδ T cells in cancer immunity. [published online March 27, 2026]. Trends Immunol. https://doi.org/10.1016/j.it.2026.02.009.
    View this article via: PubMed Google Scholar
  30. Chen L, et al. Epigenetic and transcriptional programs lead to default IFN-gamma production by gammadelta T cells. J Immunol. 2007;178(5):2730–2736.
    View this article via: CrossRef PubMed Google Scholar
  31. Ribot JC, et al. CD27 is a thymic determinant of the balance between interferon-gamma- and interleukin 17-producing gammadelta T cell subsets. Nat Immunol. 2009;10(4):427–436.
    View this article via: CrossRef PubMed Google Scholar
  32. Martin B, et al. Interleukin-17-producing gammadelta T cells selectively expand in response to pathogen products and environmental signals. Immunity. 2009;31(2):321–330.
    View this article via: CrossRef PubMed Google Scholar
  33. Steiner G, et al. Characterization of T cell receptors on resident murine dendritic epidermal T cells. Eur J Immunol. 1988;18(9):1323–1328.
    View this article via: CrossRef PubMed Google Scholar
  34. Boyden LM, et al. Skint1, the prototype of a newly identified immunoglobulin superfamily gene cluster, positively selects epidermal gammadelta T cells. Nat Genet. 2008;40(5):656–662.
    View this article via: CrossRef PubMed Google Scholar
  35. Jameson J, et al. A role for skin gammadelta T cells in wound repair. Science. 2002;296(5568):747–749.
    View this article via: CrossRef PubMed Google Scholar
  36. Lewis JM, et al. Selection of the cutaneous intraepithelial gammadelta+ T cell repertoire by a thymic stromal determinant. Nat Immunol. 2006;7(8):843–850.
    View this article via: CrossRef PubMed Google Scholar
  37. Harmon C, et al. γδ T cell dichotomy with opposing cytotoxic and wound healing functions in human solid tumors. Nat Cancer. 2023;4(8):1122–1137.
    View this article via: CrossRef PubMed Google Scholar
  38. Stevens G, et al. γδ T cells for cancer immunotherapy: unconventional players take the spotlight. Annu Rev Immunol. 2026;44(1):467–495.
    View this article via: CrossRef PubMed Google Scholar
  39. Washburn T, et al. Notch activity influences the alphabeta versus gammadelta T cell lineage decision. Cell. 1997;88(6):833–843.
    View this article via: CrossRef PubMed Google Scholar
  40. Haks MC, et al. Attenuation of gammadeltaTCR signaling efficiently diverts thymocytes to the alphabeta lineage. Immunity. 2005;22(5):595–606.
    View this article via: CrossRef PubMed Google Scholar
  41. Chen ELY, et al. Ontogenic timing, T cell receptor signal strength, and Notch signaling direct γδ T cell functional differentiation in vivo. Cell Rep. 2021;35(10):109227.
    View this article via: CrossRef PubMed Google Scholar
  42. Jensen KD, et al. Thymic selection determines gammadelta T cell effector fate: antigen-naive cells make interleukin-17 and antigen-experienced cells make interferon gamma. Immunity. 2008;29(1):90–100.
    View this article via: CrossRef PubMed Google Scholar
  43. Hayes SM, et al. TCR signal strength influences alphabeta/gammadelta lineage fate. Immunity. 2005;22(5):583–593.
    View this article via: CrossRef PubMed Google Scholar
  44. Pinheiro RGR, Silva-Santos B. Reaching maturity: thymic γδ T cell differentiation in mice and humans. Sci Immunol. 2025;10(114):eadn2093.
    View this article via: CrossRef PubMed Google Scholar
  45. Bychkov I, Wiest DL. Development and function of γδ T cells. Int Rev Cell Mol Biol. 2025;398:1–51.
    View this article via: PubMed Google Scholar
  46. Haars R, et al. Rearrangement and expression of T cell antigen receptor and gamma genes during thymic development. J Exp Med. 1986;164(1):1–24.
    View this article via: CrossRef PubMed Google Scholar
  47. Rakasz E, et al. Homing of transgenic gammadelta T cells into murine vaginal epithelium. Int Immunol. 1998;10(10):1509–1517.
    View this article via: CrossRef PubMed Google Scholar
  48. Prinz I, et al. Functional development of γδ T cells. Eur J Immunol. 2013;43(8):1988–1994.
    View this article via: CrossRef PubMed Google Scholar
  49. Melichar HJ, et al. Regulation of gammadelta versus alphabeta T lymphocyte differentiation by the transcription factor SOX13. Science. 2007;315(5809):230–233.
    View this article via: CrossRef PubMed Google Scholar
  50. Zuberbuehler MK, et al. The transcription factor c-Maf is essential for the commitment of IL-17-producing γδ T cells. Nat Immunol. 2019;20(1):73–85.
    View this article via: CrossRef PubMed Google Scholar
  51. Gray EE, et al. Deficiency in IL-17-committed Vγ4(+) γδ T cells in a spontaneous Sox13-mutant CD45.1(+) congenic mouse substrain provides protection from dermatitis. Nat Immunol. 2013;14(6):584–592.
    View this article via: CrossRef PubMed Google Scholar
  52. Malhotra N, et al. A network of high-mobility group box transcription factors programs innate interleukin-17 production. Immunity. 2013;38(4):681–693.
    View this article via: CrossRef PubMed Google Scholar
  53. Yin Z, et al. T-Bet expression and failure of GATA-3 cross-regulation lead to default production of IFN-gamma by gammadelta T cells. J Immunol. 2002;168(4):1566–1571.
    View this article via: CrossRef PubMed Google Scholar
  54. Turchinovich G, Hayday AC. Skint-1 identifies a common molecular mechanism for the development of interferon-γ-secreting versus interleukin-17-secreting γδ T cells. Immunity. 2011;35(1):59–68.
    View this article via: CrossRef PubMed Google Scholar
  55. Kreslavsky T, et al. TCR-inducible PLZF transcription factor required for innate phenotype of a subset of gammadelta T cells with restricted TCR diversity. Proc Natl Acad Sci U S A. 2009;106(30):12453–12458.
    View this article via: CrossRef PubMed Google Scholar
  56. Lees RK, et al. Tissue-specific segregation of TCRgamma delta+ NKT cells according to phenotype TCR repertoire and activation status: parallels with TCR alphabeta+ NKT cells. Eur J Immunol. 2001;31(10):2901–2909.
    View this article via: CrossRef PubMed Google Scholar
  57. Mihai A, et al. E proteins control the development of NKγδT cells through their invariant T cell receptor. Nat Commun. 2024;15(1):5078.
    View this article via: CrossRef PubMed Google Scholar
  58. Pereira P, et al. Critical role of TCR specificity in the development of Vγ1Vδ6.3+ innate NKTγδ cells. J Immunol. 2013;191(4):1716–1723.
    View this article via: CrossRef PubMed Google Scholar
  59. Wencker M, et al. Innate-like T cells straddle innate and adaptive immunity by altering antigen-receptor responsiveness. Nat Immunol. 2014;15(1):80–87.
    View this article via: CrossRef PubMed Google Scholar
  60. Do JS, et al. Cutting edge: spontaneous development of IL-17-producing gamma delta T cells in the thymus occurs via a TGF-beta 1-dependent mechanism. J Immunol. 2010;184(4):1675–1679.
    View this article via: CrossRef PubMed Google Scholar
  61. Munoz-Ruiz M, et al. TCR signal strength controls thymic differentiation of discrete proinflammatory γδ T cell subsets. Nat Immunol. 2016;17(6):721–727.
    View this article via: CrossRef PubMed Google Scholar
  62. Sumaria N, et al. Strong TCRγδ signaling prohibits thymic development of IL-17A-secreting γδ T cells. Cell Rep. 2017;19(12):2469–2476.
    View this article via: CrossRef PubMed Google Scholar
  63. Papadopoulou M, et al. TCR sequencing reveals the distinct development of fetal and adult human Vγ9Vδ2 T cells. J Immunol. 2019;203(6):1468–1479.
    View this article via: CrossRef PubMed Google Scholar
  64. De Rosa SC, et al. Vdelta1 and Vdelta2 gammadelta T cells express distinct surface markers and might be developmentally distinct lineages. J Leukoc Biol. 2001;70(4):518–526.
    View this article via: CrossRef PubMed Google Scholar
  65. McMurray JL, et al. Transcriptional profiling of human Vδ1 T cells reveals a pathogen-driven adaptive differentiation program. Cell Rep. 2022;39(8):110858.
    View this article via: CrossRef PubMed Google Scholar
  66. Girardi M, et al. Regulation of cutaneous malignancy by gammadelta T cells. Science. 2001;294(5542):605–609.
    View this article via: CrossRef PubMed Google Scholar
  67. Park JH, et al. Tumor hypoxia represses γδ T cell-mediated antitumor immunity against brain tumors. Nat Immunol. 2021;22(3):336–346.
    View this article via: CrossRef PubMed Google Scholar
  68. Da Silva P, et al. Neutralizing IL-38 activates γδ T cell-dependent antitumor immunity and sensitizes for chemotherapy. J Immunother Cancer. 2024;12(8):e008641.
    View this article via: CrossRef PubMed Google Scholar
  69. Raute K, et al. Breast cancer stem cell-derived tumors escape from γδ T-cell immunosurveillance in vivo by modulating γδ T-cell ligands. Cancer Immunol Res. 2023;11(6):810–829.
    View this article via: CrossRef PubMed Google Scholar
  70. Sumaria N, et al. Perinatal thymic-derived CD8αβ-expressing γδ T cells are innate IFN-γ producers that expand in IL-7R-STAT5B-driven neoplasms. Nat Immunol. 2024;25(7):1207–1217.
    View this article via: CrossRef PubMed Google Scholar
  71. Wiesheu R, et al. IL-27 maintains cytotoxic Ly6C+ γδ T cells that arise from immature precursors. EMBO J. 2024;43(14):2878–2907.
    View this article via: CrossRef PubMed Google Scholar
  72. Carnevale S, et al. Neutrophils mediate protection against colitis and carcinogenesis by controlling bacterial invasion and IL22 production by γδ T cells. Cancer Immunol Res. 2024;12(4):413–426.
    View this article via: CrossRef PubMed Google Scholar
  73. Suzuki T, et al. β-catenin drives butyrophilin-like molecule loss and γδ T-cell exclusion in colon cancer. Cancer Immunol Res. 2023;11(8):1137–1155.
    View this article via: CrossRef PubMed Google Scholar
  74. Reis BS, et al. TCR-Vγδ usage distinguishes protumor from antitumor intestinal γδ T cell subsets. Science. 2022;377(6603):276–284.
    View this article via: CrossRef PubMed Google Scholar
  75. Yakou MH, et al. TCF-1 limits intraepithelial lymphocyte antitumor immunity in colorectal carcinoma. Sci Immunol. 2023;8(88):eadf2163.
    View this article via: CrossRef PubMed Google Scholar
  76. Gao Y, et al. Gamma delta T cells provide an early source of interferon gamma in tumor immunity. J Exp Med. 2003;198(3):433–442.
    View this article via: CrossRef PubMed Google Scholar
  77. McGraw JM, et al. JAML promotes CD8 and γδ T cell antitumor immunity and is a novel target for cancer immunotherapy. J Exp Med. 2021;218(10):e20202644.
    View this article via: CrossRef PubMed Google Scholar
  78. Liu M, et al. Prostaglandin D2 axis impairs immunity against melanoma via dendritic cells and γδ T cells in middle-aged mice. J Immunol. 2026;215(2):vkaf288.
    View this article via: CrossRef PubMed Google Scholar
  79. Etherington MS, et al. Tyrosine kinase inhibition activates intratumoral γδ T cells in gastrointestinal stromal tumor. Cancer Immunol Res. 2024;12(1):107–119.
    View this article via: CrossRef PubMed Google Scholar
  80. Reyes RM, et al. CD122-directed interleukin-2 treatment mechanisms in bladder cancer differ from αPD-L1 and include tissue-selective γδ T cell activation. J Immunother Cancer. 2021;9(4):e002051.
    View this article via: CrossRef PubMed Google Scholar
  81. Rosen DB, et al. TransCon IL-2 β/γ: a novel long-acting prodrug with sustained release of an IL-2Rβ/γ-selective IL-2 variant with improved pharmacokinetics and potent activation of cytotoxic immune cells for the treatment of cancer. J Immunother Cancer. 2022;10(7):e004991.
    View this article via: CrossRef PubMed Google Scholar
  82. Ji N, et al. γδ T cells support antigen-specific αβ T cell-mediated antitumor responses during BCG treatment for bladder cancer. Cancer Immunol Res. 2021;9(12):1491–1503.
    View this article via: CrossRef PubMed Google Scholar
  83. Li H, Pauza CD. Rapamycin increases the yield and effector function of human γδ T cells stimulated in vitro. Cancer Immunol Immunother. 2011;60(3):361–370.
    View this article via: CrossRef PubMed Google Scholar
  84. Esteso G, et al. BCG-activation of leukocytes is sufficient for the generation of donor-independent innate anti-tumor NK and γδ T-cells that can be further expanded in vitro. Oncoimmunology. 2023;12(1):2160094.
    View this article via: CrossRef PubMed Google Scholar
  85. Xu J, et al. Oral administration of garlic-derived nanoparticles improves cancer immunotherapy by inducing intestinal IFNγ-producing γδ T cells. Nat Nanotechnol. 2024;19(10):1569–1578.
    View this article via: CrossRef PubMed Google Scholar
  86. Wang X, et al. Resistance to anti-LAG-3 plus anti-PD-1 therapy in head and neck cancer is mediated by Sox9+ tumor cells interaction with Fpr1+ neutrophils. Nat Commun. 2025;16(1):3975.
    View this article via: CrossRef PubMed Google Scholar
  87. Wu Y, et al. An innate-like Vδ1+ γδ T cell compartment in the human breast is associated with remission in triple-negative breast cancer. Sci Transl Med. 2019;11(513):eaax9364.
    View this article via: CrossRef PubMed Google Scholar
  88. Craven KE, et al. CIBERSORT analysis of TCGA and METABRIC identifies subgroups with better outcomes in triple negative breast cancer. Sci Rep. 2021;11(1):4691.
    View this article via: CrossRef PubMed Google Scholar
  89. Mikulak J, et al. NKp46-expressing human gut-resident intraepithelial Vδ1 T cell subpopulation exhibits high antitumor activity against colorectal cancer. JCI Insight. 2019;4(24):e125884.
    View this article via: JCI Insight CrossRef PubMed Google Scholar
  90. Karjalainen H, et al. Characteristics and significance of γδ T cells in colorectal cancer. Oncoimmunology. 2025;14(1):2532231.
    View this article via: CrossRef PubMed Google Scholar
  91. De Vries NL, et al. γδ T cells are effectors of immunotherapy in cancers with HLA class I defects. Nature. 2023;613(7945):743–750.
    View this article via: CrossRef PubMed Google Scholar
  92. Stary V, et al. Dysfunctional tumor-infiltrating Vδ1 + T lymphocytes in microsatellite-stable colorectal cancer. Nat Commun. 2024;15(1):6949.
    View this article via: CrossRef PubMed Google Scholar
  93. Bruni E, et al. Intrahepatic CD69+Vδ1 T cells re-circulate in the blood of patients with metastatic colorectal cancer and limit tumor progression. J Immunother Cancer. 2022;10(7):e004579.
    View this article via: CrossRef PubMed Google Scholar
  94. Harly C, et al. Human γδ T cell sensing of AMPK-dependent metabolic tumor reprogramming through TCR recognition of EphA2. Sci Immunol. 2021;6(61):eaba9010.
    View this article via: CrossRef PubMed Google Scholar
  95. Wu Y, et al. A local human Vδ1 T cell population is associated with survival in nonsmall-cell lung cancer. Nat Cancer. 2022;3(6):696–709.
    View this article via: CrossRef PubMed Google Scholar
  96. Cazzetta V, et al. NKG2A expression identifies a subset of human Vδ2 T cells exerting the highest antitumor effector functions. Cell Rep. 2021;37(3):109871.
    View this article via: CrossRef PubMed Google Scholar
  97. Zakeri N, et al. Characterisation and induction of tissue-resident gamma delta T-cells to target hepatocellular carcinoma. Nat Commun. 2022;13(1):1372.
    View this article via: CrossRef PubMed Google Scholar
  98. Nicolasen MJT, et al. Autologous profiling reveals inter-patient heterogeneity in Vδ2+γδTIL responses to glioblastoma driven by extracellular matrix-BTN3A axis. J Immunother Cancer. 2025;13(12):e013018.
    View this article via: CrossRef PubMed Google Scholar
  99. Nguyen S, et al. Vδ2 T cells are associated with favorable clinical outcomes in patients with bladder cancer and their tumor reactivity can be boosted by BCG and zoledronate treatments. J Immunother Cancer. 2022;10(8):e004880.
    View this article via: CrossRef PubMed Google Scholar
  100. Li J, et al. Multiomics profiling reveals the benefits of gamma-delta (γδ) T lymphocytes for improving the tumor microenvironment, immunotherapy efficacy and prognosis in cervical cancer. J Immunother Cancer. 2024;12(1):e008355.
    View this article via: CrossRef PubMed Google Scholar
  101. Rancan C, et al. Exhausted intratumoral Vδ2- γδ T cells in human kidney cancer retain effector function. Nat Immunol. 2023;24(4):612–624.
    View this article via: CrossRef PubMed Google Scholar
  102. Foord E, et al. Characterization of ascites- and tumor-infiltrating γδ T cells reveals distinct repertoires and a beneficial role in ovarian cancer. Sci Transl Med. 2021;13(577):eabb0192.
    View this article via: CrossRef PubMed Google Scholar
  103. Boutin L, et al. EphA2 and phosphoantigen-mediated selective killing of medulloblastoma by γδT cells preserves neuronal and stem cell integrity. Oncoimmunology. 2025;14(1):2485535.
    View this article via: CrossRef PubMed Google Scholar
  104. Egan D, et al. A temporal model of tumor-immune dynamics during the metastatic progression of high-grade serous ovarian cancer. NPJ Precis Oncol. 2025;9(1):188.
    View this article via: CrossRef PubMed Google Scholar
  105. Blanco-Dominguez R, et al. Regulatory T cells sabotage anti-tumor γδ T cells by creating IL-2-deficient environments. J Exp Med. 2026;223(7):e20252133.
    View this article via: CrossRef PubMed Google Scholar
  106. Liu J, et al. BTN3A1 expressed in cervical cancer cells promotes Vγ9Vδ2 T cells exhaustion through upregulating transcription factors NR4A2/3 downstream of TCR signaling. Cell Commun Signal. 2024;22(1):459.
    View this article via: CrossRef PubMed Google Scholar
  107. Pizzamiglio S, et al. Integrated molecular and immune phenotype of HER2-positive breast cancer and response to neoadjuvant therapy: a NeoALTTO exploratory analysis. Clin Cancer Res. 2021;27(23):6307–6313.
    View this article via: CrossRef PubMed Google Scholar
  108. Valenza C, et al. Immunotherapy for inflammatory breast cancer: current evidences and future perspectives. Curr Opin Oncol. 2023;35(6):507–512.
    View this article via: CrossRef PubMed Google Scholar
  109. Garcia-Torralba E, et al. The immunology of human breast cancer. [published online May 18, 2026]. Nat Rev Immunol. https://doi.org/10.1038/s41577-026-01307-0.
    View this article via: PubMed Google Scholar
  110. Bertucci F, et al. Immune landscape of inflammatory breast cancer suggests vulnerability to immune checkpoint inhibitors. Oncoimmunology. 2021;10(1):1929724.
    View this article via: CrossRef PubMed Google Scholar
  111. Massa C, et al. Baseline CD4+ and expansion of γδ T cells correlate with response to durvalumab in triple-negative breast cancer patients. Clin Transl Med. 2024;14(4):e1617.
    View this article via: CrossRef PubMed Google Scholar
  112. Van Renterghem AWJ, et al. Liver metastases dampen IL18-driven γδ T cell activity and immunotherapy responsiveness in colorectal cancer. Cell Rep Med. 2026;7(2):102579.
    View this article via: CrossRef PubMed Google Scholar
  113. Davies D, et al. PD-1 defines a distinct, functional, tissue-adapted state in Vδ1+ T cells with implications for cancer immunotherapy. Nat Cancer. 2024;5(3):420–432.
    View this article via: CrossRef PubMed Google Scholar
  114. Herold N, et al. Vδ1 T-cell subset appears to be responsive to PD-1 blockade therapy and is associated with survival in melanoma. J Immunother Cancer. 2026;14(1):e011224.
    View this article via: CrossRef PubMed Google Scholar
  115. Catafal-Tardos E, et al. Dynamics of checkpoint receptors in γδ T cell subsets are associated with clinical response during anti-PD-1 immunotherapies. EMBO Mol Med. 2026;18(1):91–119.
    View this article via: CrossRef PubMed Google Scholar
  116. Lien SC, et al. Tumor reactive γδ T cells contribute to a complete response to PD-1 blockade in a Merkel cell carcinoma patient. Nat Commun. 2024;15(1):1094.
    View this article via: CrossRef PubMed Google Scholar
  117. Reinstein ZZ, et al. Preexisting skin-resident CD8 and γδ T-cell circuits mediate immune response in merkel cell carcinoma and predict immunotherapy efficacy. Cancer Discov. 2024;14(9):1631–1652.
    View this article via: CrossRef PubMed Google Scholar
  118. Yaddanapudi K, et al. Single-cell immune mapping of melanoma sentinel lymph nodes reveals an actionable immunotolerant microenvironment. Clin Cancer Res. 2022;28(10):2069–2081.
    View this article via: CrossRef PubMed Google Scholar
  119. Galluzzi L, et al. The diversity of CD8+ T cell dysfunction in cancer and viral infection. Nat Rev Immunol. 2025;25(9):662–679.
    View this article via: CrossRef PubMed Google Scholar
  120. Walwyn-Brown K, et al. Phosphoantigen-stimulated γδ T cells suppress natural killer-cell responses to missing-self. Cancer Immunol Res. 2022;10(5):558–570.
    View this article via: CrossRef PubMed Google Scholar
  121. Rozalén C, et al. TIM3+ breast cancer cells license immune evasion during micrometastasis outbreak. Cancer Cell. 2025;43(8):1549–1567.
    View this article via: CrossRef PubMed Google Scholar
  122. Coffelt SB, et al. IL-17-producing γδ T cells and neutrophils conspire to promote breast cancer metastasis. Nature. 2015;522(7556):345–348.
    View this article via: CrossRef PubMed Google Scholar
  123. Zhao C, et al. Modeling tumor relapse using proliferation tracing and ablation transgenic mouse. NPJ Breast Cancer. 2025;11(1):73.
    View this article via: CrossRef PubMed Google Scholar
  124. Lopes N, et al. Distinct metabolic programs established in the thymus control effector functions of γδ T cell subsets in tumor microenvironments. Nat Immunol. 2021;22(2):179–192.
    View this article via: CrossRef PubMed Google Scholar
  125. Petitpas C, et al. Injury and inflammation promote cancer progression at the anorectal junction. Cell Rep. 2025;44(11):116552.
    View this article via: CrossRef PubMed Google Scholar
  126. Kepp O, et al. ATP and cancer immunosurveillance. EMBO J. 2021;40(13):e108130.
    View this article via: CrossRef PubMed Google Scholar
  127. Guilbaud E, et al. Autophagy modulation in cancer. [published online May 18, 2026]. Nat Rev Drug Discov. https://doi.org/10.1038/s41573-026-01449-9.
    View this article via: PubMed Google Scholar
  128. Zhan Y, et al. PLA2G4A promotes right-sided colorectal cancer progression by inducing CD39+γδ Treg polarization. JCI Insight. 2021;6(16):e148028.
    View this article via: JCI Insight CrossRef PubMed Google Scholar
  129. Chen X, et al. Differential metabolic requirement governed by transcription factor c-Maf dictates innate γδT17 effector functionality in mice and humans. Sci Adv. 2022;8(21):eabm9120.
    View this article via: CrossRef PubMed Google Scholar
  130. Daley D, et al. γδ T cells support pancreatic oncogenesis by restraining αβ T cell activation. Cell. 2016;166(6):1485–1499.
    View this article via: CrossRef PubMed Google Scholar
  131. Raffo-Iraolagoitia XL, et al. Vγ1 γδ T cells steer airway macrophages toward a profibrotic response in an autochthonous lung cancer mouse model. Sci Adv. 2026;12(10):eadu8802.
    View this article via: CrossRef PubMed Google Scholar
  132. Petroni G, et al. Targeting oncogene and non-oncogene addiction to inflame the tumour microenvironment. Nat Rev Drug Discov. 2022;21(6):440–462.
    View this article via: CrossRef PubMed Google Scholar
  133. Petroni G, et al. IL-17A-secreting γδ T cells promote resistance to CDK4/CDK6 inhibitors in HR+HER2- breast cancer via CX3CR1+ macrophages. Nat Cancer. 2025;6(10):1656–1675.
    View this article via: CrossRef PubMed Google Scholar
  134. Petroni G, et al. Immunomodulation by anticancer cell cycle inhibitors. Nat Rev Immunol. 2020;20(11):669–679.
    View this article via: CrossRef PubMed Google Scholar
  135. Edwards SC, et al. PD-1 and TIM-3 differentially regulate subsets of mouse IL-17A-producing γδ T cells. J Exp Med. 2023;220(2):e20211431.
    View this article via: CrossRef PubMed Google Scholar
  136. Carpen L, et al. A single-cell transcriptomic landscape of innate and adaptive intratumoral immunity in triple negative breast cancer during chemo- and immunotherapies. Cell Death Discov. 2022;8(1):106.
    View this article via: CrossRef PubMed Google Scholar
  137. Du Y, et al. Cancer cell-expressed BTNL2 facilitates tumour immune escape via engagement with IL-17A-producing γδ T cells. Nat Commun. 2022;13(1):231.
    View this article via: CrossRef PubMed Google Scholar
  138. Deng Y, et al. IL-17-producing γδ T cells in the tumor microenvironment promote radioresistance in mice. J Clin Invest. 2025;135(24):e193945.
    View this article via: JCI CrossRef PubMed Google Scholar
  139. Ruiz-Iglesias A, et al. Context-dependent impact of type I interferon signaling in cancer. Mol Cancer. 2025;24(1):275.
    View this article via: CrossRef PubMed Google Scholar
  140. Ma C, et al. Tumor-infiltrating γδ T lymphocytes predict clinical outcome in human breast cancer. J Immunol. 2012;189(10):5029–5036.
    View this article via: CrossRef PubMed Google Scholar
  141. Bakker NAM, et al. Triple-negative breast cancer modifies the systemic immune landscape and alters neutrophil functionality. NPJ Breast Cancer. 2025;11(1):5.
    View this article via: CrossRef PubMed Google Scholar
  142. Xiong D, et al. A gene expression signature of TREM2hi macrophages and γδ T cells predicts immunotherapy response. Nat Commun. 2020;11(1):5084.
    View this article via: CrossRef PubMed Google Scholar
  143. Cuffaro D, et al. Anti-tumor efficacy and Vδ2 T-cell activation via EGFR antibody-drug conjugates featuring novel aminobisphosphonates. Sci Rep. 2025;15(1):38774.
    View this article via: CrossRef PubMed Google Scholar
  144. Le Floch AC, et al. Targeting BTN2A1 enhances Vγ9Vδ2 T-cell effector functions and triggers tumor cell pyroptosis. Cancer Immunol Res. 2024;12(12):1677–1690.
    View this article via: CrossRef PubMed Google Scholar
  145. Mamedov MR, et al. CRISPR screens decode cancer cell pathways that trigger γδ T cell detection. Nature. 2023;621(7977):188–195.
    View this article via: CrossRef PubMed Google Scholar
  146. Al Agrafi F, et al. Selective lysis of acute myeloid leukemia cells by CD34/CD3 bispecific antibody through the activation of γδ T-cells. Oncoimmunology. 2024;13(1):2379063.
    View this article via: CrossRef PubMed Google Scholar
  147. Lai AY, et al. Cutting edge: bispecific γδ T cell engager containing heterodimeric BTN2A1 and BTN3A1 promotes targeted activation of Vγ9Vδ2+ T cells in the presence of costimulation by CD28 or NKG2D. J Immunol. 2022;209(8):1475–1480.
    View this article via: CrossRef PubMed Google Scholar
  148. King LA, et al. PD-L1 directed bispecific Vδ2-T cell engager combines lysis of PD-L1 expressing tumor cells with PD-1 immune checkpoint inhibition and modulation of the tumor immune microenvironment. J Immunother Cancer. 2025;13(10):e012255.
    View this article via: CrossRef PubMed Google Scholar
  149. Jing Y, et al. Remodelling hypoxic TNBC microenvironment restores antitumor efficacy of Vγ9Vδ2 T cell therapy. Br J Cancer. 2025;133(3):365–380.
    View this article via: CrossRef PubMed Google Scholar
  150. Baker FL, et al. Exercise-induced β2-adrenergic receptor activation enhances the antileukemic activity of expanded γδ T-cells via DNAM-1 upregulation and PVR/Nectin-2 recognition. Cancer Res Commun. 2024;4(5):1253–1267.
    View this article via: CrossRef PubMed Google Scholar
  151. Almeida AR, et al. Delta one T cells for immunotherapy of chronic lymphocytic leukemia: clinical-grade expansion/differentiation and preclinical proof of concept. Clin Cancer Res. 2016;22(23):5795–5804.
    View this article via: CrossRef PubMed Google Scholar
  152. Blanco-Domínguez R, et al. Dual modulation of cytotoxic and checkpoint receptors tunes the efficacy of adoptive delta one T cell therapy against colorectal cancer. Nat Cancer. 2025;6(6):1056–1072.
    View this article via: CrossRef PubMed Google Scholar
  153. Weng RR, et al. Epigenetic modulation of immune synaptic-cytoskeletal networks potentiates γδ T cell-mediated cytotoxicity in lung cancer. Nat Commun. 2021;12(1):2163.
    View this article via: CrossRef PubMed Google Scholar
  154. Borchmann S, et al. Tripartite antigen-agnostic combination immunotherapy cures established poorly immunogenic tumors. J Immunother Cancer. 2022;10(10):e004781.
    View this article via: CrossRef PubMed Google Scholar
  155. Nada MH, et al. PD-1 checkpoint blockade enhances adoptive immunotherapy by human Vγ2Vδ2 T cells against human prostate cancer. Oncoimmunology. 2021;10(1):1989789.
    View this article via: CrossRef PubMed Google Scholar
  156. Payne KK, et al. BTN3A1 governs antitumor responses by coordinating αβ and γδ T cells. Science. 2020;369(6506):942–949.
    View this article via: CrossRef PubMed Google Scholar
  157. Beatson RE, et al. TGF-β1 potentiates Vγ9Vδ2 T cell adoptive immunotherapy of cancer. Cell Rep Med. 2021;2(12):100473.
    View this article via: CrossRef PubMed Google Scholar
  158. Liu G, et al. Retinoic acid enhances γδ T cell cytotoxicity in nasopharyngeal carcinoma by reversing immune exhaustion. Cell Commun Signal. 2025;23(1):156.
    View this article via: CrossRef PubMed Google Scholar
  159. Fowler D, et al. Payload-delivering engineered γδ T cells display enhanced cytotoxicity, persistence, and efficacy in preclinical models of osteosarcoma. Sci Transl Med. 2024;16(749):eadg9814.
    View this article via: CrossRef PubMed Google Scholar
  160. Li HK, et al. Allogeneic cetuximab-armed gamma delta T cells using antibody-cell conjugation technology for the treatment of EGFR-expressing solid tumors. J Immunother Cancer. 2025;13(7):e010500.
    View this article via: CrossRef PubMed Google Scholar
  161. Sebestyen Z, et al. Translating gammadelta (γδ) T cells and their receptors into cancer cell therapies. Nat Rev Drug Discov. 2020;19(3):169–184.
    View this article via: CrossRef PubMed Google Scholar
  162. Sanchez Martinez D, et al. Generation and proof-of-concept for allogeneic CD123 CAR-delta one T (DOT) cells in acute myeloid leukemia. J Immunother Cancer. 2022;10(9):e005400.
    View this article via: CrossRef PubMed Google Scholar
  163. Ramirez-Fernandez A, et al. CCR5-targeted allogeneic gamma-delta CD19 chimeric antigen receptor T cells for HIV-associated B cell-malignancy immunotherapy. Nat Biomed Eng. 2025;
    View this article via: PubMed Google Scholar
  164. Makkouk A, et al. Off-the-shelf Vδ1 gamma delta T cells engineered with glypican-3 (GPC-3)-specific chimeric antigen receptor (CAR) and soluble IL-15 display robust antitumor efficacy against hepatocellular carcinoma. J Immunother Cancer. 2021;9(12):e003441.
    View this article via: CrossRef PubMed Google Scholar
  165. Zhang D, et al. Validation of CCL20-driven CAR-γδ T secreting PD-1 blockade with enhanced trafficking into solid tumor. iScience. 2025;28(10):113463.
    View this article via: CrossRef PubMed Google Scholar
  166. Li Z, et al. Comparative efficacy and safety of PSCA CAR-engineered Vδ1 γδ T cells for immunotherapy of pancreatic cancer. J Immunother Cancer. 2025;13(9):e011890.
    View this article via: CrossRef PubMed Google Scholar
  167. Portillo AL, et al. IL-21-reprogrammed Vδ1 T cells exert killing against solid tumors which is enhanced by CAR arming for off-the-shelf immunotherapy. Oncoimmunology. 2025;14(1):2562210.
    View this article via: CrossRef PubMed Google Scholar
  168. Frieling JS, et al. γδ-Enriched CAR-T cell therapy for bone metastatic castrate-resistant prostate cancer. Sci Adv. 2023;9(18):eadf0108.
    View this article via: CrossRef PubMed Google Scholar
  169. Nishimoto KP, et al. ADI-270: an armored allogeneic gamma delta T cell therapy designed to target CD70-expressing solid and hematologic malignancies. J Immunother Cancer. 2025;13(7):e011704.
    View this article via: CrossRef PubMed Google Scholar
  170. Melenhorst JJ, et al. Decade-long leukaemia remissions with persistence of CD4+ CAR T cells. Nature. 2022;602(7897):503–509.
    View this article via: CrossRef PubMed Google Scholar
  171. Kakimi K, et al. Adoptive transfer of zoledronate-expanded autologous Vγ9Vδ2 T-cells in patients with treatment-refractory non-small-cell lung cancer: a multicenter, open-label, single-arm, phase 2 study. J Immunother Cancer. 2020;8(2):e001185.
    View this article via: CrossRef PubMed Google Scholar
  172. Beckermann K, et al. 640 A phase 1/2 first in human study of ADI-270, an armored allogeneic anti-CD70 chimeric antigen receptor γδ T cell therapy, in patients with relapsed or refractory clear cell renal cell carcinoma. J Immunother Cancer. 2024;12(suppl 2):A734–A737.
  173. Zhang J, et al. A phase I clinical trial of autologous gamma delta T cells genetically engineered with a chimeric receptor to target the prostate stem cell antigen in patients with metastatic castration-resistant prostate cancer. J Clin Oncol. 2026;44(suppl 7):TPS287.
  174. Neelapu SS, et al. A phase 1 study of ADI-001: anti-CD20 CAR-engineered allogeneic gamma delta (γδ) T cells in adults with B-cell malignancies. J Clin Oncol. 2022;40(16_suppl):7509.
    View this article via: CrossRef Google Scholar
  175. Dutta I, et al. ADAM protease inhibition overcomes resistance of breast cancer stem-like cells to γδ T cell immunotherapy. Cancer Lett. 2021;496:156–168.
    View this article via: CrossRef PubMed Google Scholar
  176. Pilgrim AA, et al. The yes-associated protein (YAP) is associated with resistance to anti-GD2 immunotherapy in neuroblastoma through downregulation of ST8SIA1. Oncoimmunology. 2023;12(1):2240678.
    View this article via: CrossRef PubMed Google Scholar
  177. Petroni G, et al. Radiotherapy delivered before CDK4/6 inhibitors mediates superior therapeutic effects in ER+ breast cancer. Clin Cancer Res. 2021;27(7):1855–1863.
    View this article via: CrossRef PubMed Google Scholar
  178. Guilbaud E, et al. Impact of radiation therapy on the immunological tumor microenvironment. Cell Chem Biol. 2025;32(5):678–693.
    View this article via: CrossRef PubMed Google Scholar
  179. van Diest E, et al. Gamma delta TCR anti-CD3 bispecific molecules (GABs) as novel immunotherapeutic compounds. J Immunother Cancer. 2021;9(11):e003850.
    View this article via: CrossRef PubMed Google Scholar
  180. Wang X, et al. Exosomes derived from γδ-T cells synergize with radiotherapy and preserve antitumor activities against nasopharyngeal carcinoma in immunosuppressive microenvironment. J Immunother Cancer. 2022;10(2):e003832.
    View this article via: CrossRef PubMed Google Scholar
  181. Hernández-López P, et al. Dual targeting of cancer metabolome and stress antigens affects transcriptomic heterogeneity and efficacy of engineered T cells. Nat Immunol. 2024;25(1):88–101.
    View this article via: CrossRef PubMed Google Scholar
  182. Li C, et al. Novel CD19-specific γ/δ TCR-T cells in relapsed or refractory diffuse large B-cell lymphoma. J Hematol Oncol. 2023;16(1):5.
    View this article via: CrossRef PubMed Google Scholar
  183. Dieli F, et al. Targeting human {gamma}delta} T cells with zoledronate and interleukin-2 for immunotherapy of hormone-refractory prostate cancer. Cancer Res. 2007;67(15):7450–7457.
    View this article via: CrossRef PubMed Google Scholar
  184. Bennouna J, et al. Phase-I study of Innacell gammadelta, an autologous cell-therapy product highly enriched in gamma9delta2 T lymphocytes, in combination with IL-2, in patients with metastatic renal cell carcinoma. Cancer Immunol Immunother. 2008;57(11):1599–1609.
    View this article via: CrossRef PubMed Google Scholar
  185. Kobayashi H, et al. Phase I/II study of adoptive transfer of γδ T cells in combination with zoledronic acid and IL-2 to patients with advanced renal cell carcinoma. Cancer Immunol Immunother. 2011;60(8):1075–1084.
    View this article via: CrossRef PubMed Google Scholar
  186. Nattress CB, et al. Phenoscaping reveals multimodal γδ T-cell cytotoxicity as a strategy to overcome cancer cell-mediated immunomodulation. Cancer Res. 2025;85(22):4415–4432.
    View this article via: CrossRef PubMed Google Scholar
  187. Sakamoto M, et al. Adoptive immunotherapy for advanced non-small cell lung cancer using zoledronate-expanded γδTcells: a phase I clinical study. J Immunother. 2011;34(2):202–211.
    View this article via: CrossRef PubMed Google Scholar
  188. Lo Presti E, et al. The pancreatic tumor microenvironment of treatment-naïve patients causes a functional shift in γδ T cells, impairing their anti-tumoral defense. Oncoimmunology. 2025;14(1):2466301.
    View this article via: CrossRef PubMed Google Scholar
  189. Rafia C, et al. The antitumor activity of human Vγ9Vδ2 T cells is impaired by TGF-β through significant phenotype, transcriptomic and metabolic changes. Front Immunol. 2022;13:1066336.
    View this article via: CrossRef PubMed Google Scholar
  190. Guerrero Ruiz VM, et al. Macrophage fatty acid metabolism under chronic hypoxia shapes γδ T cell recruitment via CCL22. iScience. 2025;28(8):113025.
    View this article via: CrossRef PubMed Google Scholar
  191. De Martino M, et al. Cancer cell metabolism and antitumour immunity. Nat Rev Immunol. 2024;24(9):654–669.
    View this article via: CrossRef PubMed Google Scholar
  192. Veldhoen M. Interleukin 17 is a chief orchestrator of immunity. Nat Immunol. 2017;18(6):612–621.
    View this article via: CrossRef PubMed Google Scholar
  193. Ye P, et al. Requirement of interleukin 17 receptor signaling for lung CXC chemokine and granulocyte colony-stimulating factor expression, neutrophil recruitment, and host defense. J Exp Med. 2001;194(4):519–527.
    View this article via: CrossRef PubMed Google Scholar
  194. Whibley N, et al. Antibody blockade of IL-17 family cytokines in immunity to acute murine oral mucosal candidiasis. J Leukoc Biol. 2016;99(6):1153–1164.
    View this article via: CrossRef PubMed Google Scholar
  195. Hueber W, et al. Secukinumab, a human anti-IL-17A monoclonal antibody, for moderate to severe Crohn’s disease: unexpected results of a randomised, double-blind placebo-controlled trial. Gut. 2012;61(12):1693–1700.
    View this article via: CrossRef PubMed Google Scholar
Version history
  • Version 1 (September 1, 2026): Electronic publication

Article tools

  • View PDF
  • Download citation information
  • Send a comment
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal

Metrics

  • Article usage
  • Citations to this article

Go to

  • Top
  • Abstract
  • Introduction
  • γδ T cell development
  • Tumor-suppressive activity of γδ T cells
  • Tumor-promoting activity of γδ T cells
  • Harnessing γδ T cells for cancer therapy
  • Conclusions and outlook
  • Author contributions
  • Conflict of interest
  • Funding support
  • Acknowledgments
  • Footnotes
  • References
  • Version history
Advertisement
Advertisement

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

Sign up for email alerts