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Pan-cancer T cell atlas links a cellular stress response state to immunotherapy resistance

Authors :
Chu, Yanshuo
Dai, Enyu
Li, Yating
Han, Guangchun
Pei, Guangsheng
Ingram, Davis R.
Thakkar, Krupa
Qin, Jiang-Jiang
Dang, Minghao
Le, Xiuning
Hu, Can
Deng, Qing
Sinjab, Ansam
Gupta, Pravesh
Wang, Ruiping
Hao, Dapeng
Peng, Fuduan
Yan, Xinmiao
Liu, Yunhe
Song, Shumei
Zhang, Shaojun
Heymach, John V.
Reuben, Alexandre
Elamin, Yasir Y.
Pizzi, Melissa P.
Lu, Yang
Lazcano, Rossana
Hu, Jian
Li, Mingyao
Curran, Michael
Futreal, Andrew
Maitra, Anirban
Jazaeri, Amir A.
Ajani, Jaffer A.
Swanton, Charles
Cheng, Xiang-Dong
Abbas, Hussein A.
Gillison, Maura
Bhat, Krishna
Lazar, Alexander J.
Green, Michael
Litchfield, Kevin
Kadara, Humam
Yee, Cassian
Wang, Linghua
Source :
Nature Medicine; 20240101, Issue: Preprints p1-13, 13p
Publication Year :
2024

Abstract

Tumor-infiltrating T cells offer a promising avenue for cancer treatment, yet their states remain to be fully characterized. Here we present a single-cell atlas of T cells from 308,048 transcriptomes across 16 cancer types, uncovering previously undescribed T cell states and heterogeneous subpopulations of follicular helper, regulatory and proliferative T cells. We identified a unique stress response state, TSTR, characterized by heat shock gene expression. TSTRcells are detectable in situ in the tumor microenvironment across various cancer types, mostly within lymphocyte aggregates or potential tertiary lymphoid structures in tumor beds or surrounding tumor edges. T cell states/compositions correlated with genomic, pathological and clinical features in 375 patients from 23 cohorts, including 171 patients who received immune checkpoint blockade therapy. We also found significantly upregulated heat shock gene expression in intratumoral CD4/CD8+cells following immune checkpoint blockade treatment, particularly in nonresponsive tumors, suggesting a potential role of TSTRcells in immunotherapy resistance. Our well-annotated T cell reference maps, web portal and automatic alignment/annotation tool could provide valuable resources for T cell therapy optimization and biomarker discovery.

Details

Language :
English
ISSN :
10788956 and 1546170X
Issue :
Preprints
Database :
Supplemental Index
Journal :
Nature Medicine
Publication Type :
Periodical
Accession number :
ejs63162044
Full Text :
https://doi.org/10.1038/s41591-023-02371-y