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Pan-cancer single-cell landscape of tumor-infiltrating T cells (smart-seq2)
LIANGTAO ZHENG, SHISHANG QIN, WEN SI, ANQIANG WANG, BAOCAI XING, RANRAN GAO, XIANWEN REN, LI WANG, XIAOJIANG WU, JI ZHANG, NAN WU, NING ZHANG, HONG ZHENG, HANQIANG OUYANG, KEYUAN CHEN, ZHAODE BU, XUEDA HU, JIAFU JI, AND ZEMIN ZHANG
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.