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

CLINICAL AND TRANSLATIONAL MEDICINE(2020)

引用 16|浏览53
暂无评分
摘要
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.
更多
查看译文
关键词
CD8 T cell,exhaustion,hepatocellular carcinoma,regulatory T cell
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要