Evidence mapPaperPMID 42520474Full record

ReviewTranslational oncology2026

Lipid metabolism in γδ T-cell activation: Implications for immunotherapy in ovarian cancer.

Karolina Stirblyte, Yazid Ghanem, Mark Bates, Steven G Gray, Feras Abu Saadeh, Cara Martin, Sharon O'Toole, John J O'Leary, Derek G Doherty, Bashir M Mohamed

Abstract readReview
In one paragraph

Review in Translational oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Karolina StirblyteDepartment of Histopathology, Trinity College Dublin, Dublin 8, Ireland.
Yazid GhanemSchool of Biochemistry and Immunology, Trinity College Dublin, Dublin 2, Ireland.
Mark BatesDepartment of Histopathology, Trinity College Dublin, Dublin 8, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland.
Steven G GrayTrinity St James's Cancer Institute, Dublin 8, Ireland; Thoracic Oncology Research Group, Trinity St. James's, Dublin, Ireland.
Feras Abu SaadehTrinity St James's Cancer Institute, Dublin 8, Ireland; Division of Gynaecological Oncology, St. James's Hospital, Dublin 8, Ireland.
Cara MartinDepartment of Histopathology, Trinity College Dublin, Dublin 8, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland.
Sharon O'TooleDepartment of Histopathology, Trinity College Dublin, Dublin 8, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland; Department of Obstetrics and Gynaecology, Trinity College Dublin, Dublin, Ireland.
John J O'LearyDepartment of Histopathology, Trinity College Dublin, Dublin 8, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland.
Derek G DohertyTrinity St James's Cancer Institute, Dublin 8, Ireland; Department of Immunology, Trinity College Dublin, Dublin 8, Ireland.
Bashir M MohamedDepartment of Histopathology, Trinity College Dublin, Dublin 8, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland; Department of Obstetrics and Gynaecology, Trinity College Dublin, Dublin, Ireland. Electronic address: bmohamed@tcd.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) remains a leading cause of cancer-related mortality among women worldwide, largely due to asymptomatic progression, late-stage diagnosis, therapeutic resistance, and profound immunosuppression within the tumor microenvironment (TME). This is particularly relevant in advanced disease, where metastatic spread to the omentum creates a lipid-rich niche that promotes tumor growth and weakens anti-tumor immunity. This review examines lipid metabolic reprogramming and γδ T-cell function as a targetable immunometabolic axis in OC, with selected discussion of iNKT and CD8+ T-cells as comparative models. Direct evidence from OC patient samples demonstrates that the omental TME drives CD36-mediated lipid uptake and fatty acid (FA) oxidation, while chronic lipid exposure impairs γδ T-cell mitochondrial oxidative phosphorylation and promotes exhaustion, including up-regulation of PD-1 and TIGIT. The major γδ T-cell subsets exhibit distinct metabolic vulnerabilities: Vδ1 T-cells can recognize CD1-presented lipid antigens and rely on FA oxidation, favoring pro-tumoral IL-17 production, whereas Vδ2 T-cells detect phosphoantigens via BTN3A and depend more strongly on glycolysis, rendering them susceptible to glucose deprivation in the OC TME. Concurrent adenosine signaling via A2A receptors, potentially amplified by lipid-induced CD39/CD73 up-regulation, further suppresses γδ T-cell function. We also evaluate nanoparticle-based platforms for co-delivery of metabolic modulators, γδ T-cell agonists, and immune checkpoint blockers, while highlighting key translational barriers, including variable enhanced permeability and retention effects, limited γδ T-cell-specific targeting, and potential systemic toxicity of FASN or CD36 inhibition. Finally, this review proposes future strategies including single-cell metabolomics to map subset-specific vulnerabilities, CRISPR-based validation of exhaustion mechanisms, metabolic engineering of CAR-γδ T-cells through CD36 knockout or CPT1A overexpression, intraperitoneal nanoparticle delivery in patient-derived xenograft models, and TME-restricted delivery systems. Together, these approaches may help overcome lipid-driven immune dysfunction and support the development of next-generation immunotherapies for OC.

Indexed as

ImmunometabolismLipid-rich TMEMetabolic exhaustionNanoparticlesOvarian cancerγδ T-cells

Identifiers

PMID42520474
PMCPMC13446291

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.