{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yu X"],"funding":["NIDCR NIH HHS","National Cancer Institute","NCI NIH HHS","National Institute of Dental and Craniofacial Research","National Institutes of Health","NIGMS NIH HHS"],"pagination":["101764"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11513832"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["5(10)"],"pubmed_abstract":["Gamma-delta T cells (γδ T cells) play a crucial role in both innate and adaptive immunity within tumors, yet their presence and prognostic value in cancer remain underexplored. This study presents a large-scale analysis of γδ T cell receptor (γδ TCR) reads from 11,000 tumor samples spanning 33 cancer types, utilizing the TRUST4 algorithm. Our findings reveal extensive diversity in γδ TCR clonality and gene expression, underscoring the potential of γδ T cells as prognostic biomarkers in various cancers. We further demonstrate the utility of TCR gamma (TRG) and delta (TRD) gene expression from standard RNA-sequencing (RNA-seq) data. This comprehensive dataset offers a valuable resource for advancing γδ T cell research, with implications for enhanced immunotherapy approaches or alternative th"],"journal":["Cell reports. Medicine"],"pubmed_title":["Pan-cancer γδ TCR analysis uncovers clonotype diversity and prognostic potential."],"pmcid":["PMC11513832"],"funding_grant_id":["R01 CA273034","R01 CA262121","P20 GM130454","P01 CA250984","P30 CA076292","R01 DE030493"],"pubmed_authors":["Song L","Conejo-Garcia JR","Cen L","Rodriguez PC","Tao R","Abate-Daga D","Wang X","Shen Y","Yu X","Cao B"],"additional_accession":[]},"is_claimable":false,"name":"Pan-cancer γδ TCR analysis uncovers clonotype diversity and prognostic potential.","description":"Gamma-delta T cells (γδ T cells) play a crucial role in both innate and adaptive immunity within tumors, yet their presence and prognostic value in cancer remain underexplored. This study presents a large-scale analysis of γδ T cell receptor (γδ TCR) reads from 11,000 tumor samples spanning 33 cancer types, utilizing the TRUST4 algorithm. Our findings reveal extensive diversity in γδ TCR clonality and gene expression, underscoring the potential of γδ T cells as prognostic biomarkers in various cancers. We further demonstrate the utility of TCR gamma (TRG) and delta (TRD) gene expression from standard RNA-sequencing (RNA-seq) data. This comprehensive dataset offers a valuable resource for advancing γδ T cell research, with implications for enhanced immunotherapy approaches or alternative th","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Oct","modification":"2026-07-15T14:52:14.084Z","creation":"2025-04-06T14:24:04.273Z"},"accession":"S-EPMC11513832","cross_references":{"pubmed":["39368482"],"doi":["10.1016/j.xcrm.2024.101764"]}}