Literature DB >> 33357445

Single-cell landscape of the ecosystem in early-relapse hepatocellular carcinoma.

Yunfan Sun1, Liang Wu2, Yu Zhong3, Kaiqian Zhou1, Yong Hou4, Zifei Wang5, Zefan Zhang1, Jiarui Xie3, Chunqing Wang5, Dandan Chen6, Yaling Huang6, Xiaochan Wei6, Yinghong Shi7, Zhikun Zhao6, Yuehua Li6, Ziwei Guo6, Qichao Yu6, Liqin Xu6, Giacomo Volpe8, Shuangjian Qiu1, Jian Zhou1, Carl Ward8, Huichuan Sun1, Ye Yin6, Xun Xu9, Xiangdong Wang10, Miguel A Esteban11, Huanming Yang12, Jian Wang13, Michael Dean14, Yaguang Zhang15, Shiping Liu16, Xinrong Yang17, Jia Fan18.   

Abstract

Hepatocellular carcinoma (HCC) has high relapse and low 5-year survival rates. Single-cell profiling in relapsed HCC may aid in the design of effective anticancer therapies, including immunotherapies. We profiled the transcriptomes of ∼17,000 cells from 18 primary or early-relapse HCC cases. Early-relapse tumors have reduced levels of regulatory T cells, increased dendritic cells (DCs), and increased infiltrated CD8+ T cells, compared with primary tumors, in two independent cohorts. Remarkably, CD8+ T cells in recurrent tumors overexpressed KLRB1 (CD161) and displayed an innate-like low cytotoxic state, with low clonal expansion, unlike the classical exhausted state observed in primary HCC. The enrichment of these cells was associated with a worse prognosis. Differential gene expression and interaction analyses revealed potential immune evasion mechanisms in recurrent tumor cells that dampen DC antigen presentation and recruit innate-like CD8+ T cells. Our comprehensive picture of the HCC ecosystem provides deeper insights into immune evasion mechanisms associated with tumor relapse.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  early-relapse tumor; hepatocellular carcinoma; immune microenvironment; immune therapy; single-cell RNA sequencing; tumor ecosystem

Mesh:

Year:  2020        PMID: 33357445     DOI: 10.1016/j.cell.2020.11.041

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


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