| Literature DB >> 34914499 |
Liangtao Zheng1, Shishang Qin2, Wen Si1, Anqiang Wang3, Baocai Xing4, Ranran Gao2, Xianwen Ren2, Li Wang2, Xiaojiang Wu3, Ji Zhang3, Nan Wu5, Ning Zhang6, Hong Zheng7, Hanqiang Ouyang8,9, Keyuan Chen8,9, Zhaode Bu3, Xueda Hu2,10, Jiafu Ji3,11, Zemin Zhang1,2.
Abstract
T cells play a central role in cancer immunotherapy, but we lack systematic comparison of the heterogeneity and dynamics of tumor-infiltrating T cells across cancer types. We built a single-cell RNA-sequencing pan-cancer atlas of T cells for 316 donors across 21 cancer types and revealed distinct T cell composition patterns. We found multiple state-transition paths in the exhaustion of CD8+ T cells and the preference of those paths among different tumor types. Certain T cell populations showed specific correlation with patient properties such as mutation burden, shedding light on the possible determinants of the tumor microenvironment. T cell compositions within tumors alone could classify cancer patients into groups with clinical trait specificity, providing new insights into T cell immunity and precision immunotherapy targeting T cells.Entities:
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Year: 2021 PMID: 34914499 DOI: 10.1126/science.abe6474
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 63.714