Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis

Xiannian Zhang(Capital Medical University), Linna Peng(Chinese Academy of Medical Sciences & Peking Union Medical College), Yingying Luo(Chinese Academy of Medical Sciences & Peking Union Medical College), Shaosen Zhang(Chinese Academy of Medical Sciences & Peking Union Medical College), Yang Pu(Chinese Academy of Medical Sciences & Peking Union Medical College), Yamei Chen(Chinese Academy of Medical Sciences & Peking Union Medical College), Wenjia Guo(Xinjiang Medical University), Jiacheng Yao(Center for Life Sciences), Mingming Shao(Chinese Academy of Medical Sciences & Peking Union Medical College), Wenyi Fan(Chinese Academy of Medical Sciences & Peking Union Medical College), Qionghua Cui(Chinese Academy of Medical Sciences & Peking Union Medical College), Yiyi Xi(Chinese Academy of Medical Sciences & Peking Union Medical College), Yanxia Sun(Chinese Academy of Medical Sciences & Peking Union Medical College), Xiangjie Niu(Chinese Academy of Medical Sciences & Peking Union Medical College), Xuan Zhao(Chinese Academy of Medical Sciences & Peking Union Medical College), Liping Chen(Chinese Academy of Medical Sciences & Peking Union Medical College), Yuqian Wang(Chinese Academy of Medical Sciences & Peking Union Medical College), Yachen Liu(Chinese Academy of Medical Sciences & Peking Union Medical College), Xinyu Yang(Chinese Academy of Medical Sciences & Peking Union Medical College), Chengcheng Wang(Chinese Academy of Medical Sciences & Peking Union Medical College), Ce Zhong(Chinese Academy of Medical Sciences & Peking Union Medical College), Wen Tan(Chinese Academy of Medical Sciences & Peking Union Medical College), Jianbin Wang(King Center), Chen Wu(Chinese Academy of Medical Sciences & Peking Union Medical College), Dongxin Lin(Sun Yat-sen University)
Nature Communications
September 6, 2021
Cited by 380Open Access
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Abstract

Esophageal squamous-cell carcinoma (ESCC), one of the most prevalent and lethal malignant disease, has a complex but unknown tumor ecosystem. Here, we investigate the composition of ESCC tumors based on 208,659 single-cell transcriptomes derived from 60 individuals. We identify 8 common expression programs from malignant epithelial cells and discover 42 cell types, including 26 immune cell and 16 nonimmune stromal cell subtypes in the tumor microenvironment (TME), and analyse the interactions between cancer cells and other cells and the interactions among different cell types in the TME. Moreover, we link the cancer cell transcriptomes to the somatic mutations and identify several markers significantly associated with patients' survival, which may be relevant to precision care of ESCC patients. These results reveal the immunosuppressive status in the ESCC TME and further our understanding of ESCC.


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