# Melanoma causes phenotypic modulations and metabolic switches of iNKT cells influencing clinical outcomes

**Authors:** Emmanuelle Degeorges, Stéphane Mouret, Pauline Girard, Camille Niveau, Mélanie Cettour-Cave, Eleonora Sosa Cuevas, Florence De Fraipont, Julie Charles, Philippe Saas, Caroline Aspord

PMC · DOI: 10.3389/fimmu.2025.1703754 · Frontiers in Immunology · 2026-01-05

## TL;DR

This study shows how melanoma alters iNKT cells' function and metabolism, leading to worse outcomes and suggesting new immunotherapy strategies.

## Contribution

The study reveals novel phenotypic and metabolic changes in iNKT cells in melanoma and their clinical implications.

## Key findings

- iNKT cells in melanoma tumors are linked to poor clinical outcomes and show altered activation and receptor profiles.
- Tumor-infiltrating iNKT cells exhibit reduced glycolytic metabolism, affecting patient prognosis.
- LAG3, CTLA4, and TIM3 are identified as negative prognostic factors in melanoma patients.

## Abstract

Invariant NKT (iNKT) cells are crucial effectors in cancer immunosurveillance, due to their immunomodulatory potential through a broad range of effector and regulatory functions. Yet, their use as targets or vectors for cancer immunotherapy in cancer yielded inconsistent outcomes, due to potential tumor immune escape mechanisms. Limited information is available regarding the potential dysfunctions of iNKT cells in melanoma patients, and their clinical significance. A better understanding of iNKT cell biology and subversion in these patients would help designing new immunotherapies and improving clinical translations.

Here, we depicted extensive phenotypic, metabolic and functional features of circulating and tumor-infiltrating iNKT cells in melanoma patients, and assessed their clinical relevance.

We observed that iNKT cells infiltrated melanoma tumors in a gender- and site-dependent manner, and were associated with poor clinical outcome. Invariant NKT cells exhibited a higher basal activation status together with a skewed expression of NK receptors (NKR), NKG2 and immune checkpoints (ICP), as well as a shift toward regulatory iNKT (iNKTreg) cell profile in the melanoma microenvironment. We identified LAG3, CTLA4 and TIM3 as critical negative prognosis factors of clinical evolution. Moreover, tumor-infiltrating iNKT cells displayed a dampened metabolic activity with a decreased glycolysis dependency; such perturbed energetic metabolism impacted patient clinical outcome. Furthermore, iNKT cells revealed distinct metabolic profiles depending on their activation status and ICP profile, underlining critical connections between iNKT cell features and metabolic pattern.

Overall, our study reveals major phenotypic and metabolic disturbances of circulating and tumor-infiltrating iNKT cells in melanoma, with clinical impacts. By unveiling new key features and skewing details on iNKT cells in melanoma, our study paves the way for innovative combination strategies exploiting metabolic pathways and/or disturbed ICP profiles to overcome immune subversion and better harness the potential of iNKT cells for cancer immunotherapy.

## Linked entities

- **Proteins:** LAG3 (lymphocyte activating 3), CTLA4 (cytotoxic T-lymphocyte associated protein 4), HAVCR2 (hepatitis A virus cellular receptor 2), KLRC1 (killer cell lectin like receptor C1)
- **Diseases:** melanoma (MONDO:0005105)

## Full-text entities

- **Genes:** HAVCR2 (hepatitis A virus cellular receptor 2) [NCBI Gene 84868] {aka CD366, HAVcr-2, KIM-3, SPTCL, TIM3, TIMD-3}, CTLA4 (cytotoxic T-lymphocyte associated protein 4) [NCBI Gene 1493] {aka ALPS5, CD, CD152, CELIAC3, CTLA-4, GRD4}, LAG3 (lymphocyte activating 3) [NCBI Gene 3902] {aka CD223}, KLRC1 (killer cell lectin like receptor C1) [NCBI Gene 3821] {aka CD159A, NKG2, NKG2A}, TACR3 (tachykinin receptor 3) [NCBI Gene 6870] {aka HH11, NK-3R, NK3, NK3R, NKR, TAC3R}
- **Diseases:** cancer (MESH:D009369), Melanoma (MESH:D008545)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12813057/full.md

## References

50 references — full list in the complete paper: https://tomesphere.com/paper/PMC12813057/full.md

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Source: https://tomesphere.com/paper/PMC12813057