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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Cancer Immunity and Immunotherapy

This article is part of the Research TopicEmerging Role of Cytotoxic Lymphocytes in the Tumor Microenvironment: Diversity, Plasticity, and Therapeutic InsightsView all articles

A Ligand-Centered Framework for γδ T Cell Activation in Colorectal Cancer Revealed by Single-Cell and Transformer-Based Perturbation

Provisionally accepted
  • 1School of Medicine, Case Western Reserve University, Cleveland, United States
  • 2University Hospitals Health System, Cleveland, United States

The final, formatted version of the article will be published soon.

Understanding the activation mechanisms of γδ T cells in colorectal cancer (CRC) is critical for harnessing their therapeutic potential. Here, using an atlas of human CRC-infiltrating γδ T cells that we built by integrating multiple single-cell RNA-seq datasets, we developed a γδ T cell-refined ligand inference pipeline by combining differential gene expression, gene regulatory network prediction, ligand inference, and in silico perturbation analysis. This approach identified ligands, including IL-15 and TNFSF9 (4-1BBL), as candidates promoting γδ T cell effector function and highlighted NCR2 and KLRC3 (NKG2E), whose in silico overexpression was associated with γδ T cell activation. Ligand enrichment analyses further indicated that monocytes and dendritic cells are key contributors to γδ T cell activation in the tumor microenvironment. Our results also highlighted transcription factors IKZF1, FOSL2, and FOXO1 in the less activated γδ T cells and IRF1, KLF2, and BHLHE40 in the effector γδ T cells that plausibly regulated the differential activation state. Together, our results offer a systems-level view of the signaling and transcriptional programs governing γδ T cell phenotypes in CRC and provide a foundation for γδ T cell-based immunotherapies with enhanced antitumor functions.

Keywords: cancer colorectal, Deep learn ing, Gamma Delta (γδ) T cells, Ligand, perturbation prediction, transformer

Received: 29 Sep 2025; Accepted: 18 Dec 2025.

Copyright: © 2025 Ran and Brubaker. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Douglas K. Brubaker

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