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Analysis of single‐cell RNAseq identifies transitional states of T cells associated with hepatocellular carcinoma

Authors :
Yanying Yang
Fangming Liu
Weiren Liu
Mingyue Ma
Jie Gao
Yan Lu
Li‐Hao Huang
Xiaoying Li
Yinghong Shi
Xiangdong Wang
Duojiao Wu
Source :
Clinical and Translational Medicine, Vol 10, Iss 3, Pp n/a-n/a (2020)
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

Abstract Background Exhausted T cells and regulatory T cells (Tregs) comprise diverse subsets of tumor immunosuppressive microenvironment that play key roles in tumor progress. Understanding subset diversity in T cells is a critical question for developing cancer immunotherapy. Methods A total of 235 specimens from surgical resections of hepatocellular carcinoma (HCC) patients were examined for infiltration of exhausted T cell (Tex) in tumor and adjacent tissue. We conducted deep single‐cell targeted immune profiling on CD3+ cells collected from tumor tissues, adjacent normal tissues (ANTs) and peripheral blood of HCC patients. Total 10 cell clusters were identified with distinct distributions and characteristics. Results We observed transitional differentiation of exhausted CD8+T cells and Tregs increasingly enriched in tumor tissue. The accumulation and location of Tex were related to the differences in the long‐term clinical outcome of HCC. Furthermore, data of single‐cell RNA‐seq showed that (1) cells transforming from effector CD8+ T cells to exhausted CD8+ T cells simultaneously expressed upregulated effector molecules and inhibitory receptors, (2) indicated alteration of gene expression related to stress response and cell cycle at early exhaustion stage, and (3) immunosuppressive Treg had profound activation in comparison to resting Tregs. Conclusions T cell exhaustion is a progressive process, and the gene‐expression profiling displayed T cell exhaustion and anergy are different. Accordingly, it is possible that functional exhaustion is caused by the combination effects of passive defects and overactivation in stress response. The results help to understand the dynamic framework of T cells function in cancer which is important for designing rational cancer immunotherapies.

Details

Language :
English
ISSN :
20011326
Volume :
10
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Clinical and Translational Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.36b3898ceb0c4085aa30ffc3915089ea
Document Type :
article
Full Text :
https://doi.org/10.1002/ctm2.133