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

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 p...

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Autores principales: Zhang, Xiannian, Peng, Linna, Luo, Yingying, Zhang, Shaosen, Pu, Yang, Chen, Yamei, Guo, Wenjia, Yao, Jiacheng, Shao, Mingming, Fan, Wenyi, Cui, Qionghua, Xi, Yiyi, Sun, Yanxia, Niu, Xiangjie, Zhao, Xuan, Chen, Liping, Wang, Yuqian, Liu, Yachen, Yang, Xinyu, Wang, Chengcheng, Zhong, Ce, Tan, Wen, Wang, Jianbin, Wu, Chen, Lin, Dongxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421382/
https://www.ncbi.nlm.nih.gov/pubmed/34489433
http://dx.doi.org/10.1038/s41467-021-25539-x
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author Zhang, Xiannian
Peng, Linna
Luo, Yingying
Zhang, Shaosen
Pu, Yang
Chen, Yamei
Guo, Wenjia
Yao, Jiacheng
Shao, Mingming
Fan, Wenyi
Cui, Qionghua
Xi, Yiyi
Sun, Yanxia
Niu, Xiangjie
Zhao, Xuan
Chen, Liping
Wang, Yuqian
Liu, Yachen
Yang, Xinyu
Wang, Chengcheng
Zhong, Ce
Tan, Wen
Wang, Jianbin
Wu, Chen
Lin, Dongxin
author_facet Zhang, Xiannian
Peng, Linna
Luo, Yingying
Zhang, Shaosen
Pu, Yang
Chen, Yamei
Guo, Wenjia
Yao, Jiacheng
Shao, Mingming
Fan, Wenyi
Cui, Qionghua
Xi, Yiyi
Sun, Yanxia
Niu, Xiangjie
Zhao, Xuan
Chen, Liping
Wang, Yuqian
Liu, Yachen
Yang, Xinyu
Wang, Chengcheng
Zhong, Ce
Tan, Wen
Wang, Jianbin
Wu, Chen
Lin, Dongxin
author_sort Zhang, Xiannian
collection PubMed
description 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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spelling pubmed-84213822021-09-22 Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis Zhang, Xiannian Peng, Linna Luo, Yingying Zhang, Shaosen Pu, Yang Chen, Yamei Guo, Wenjia Yao, Jiacheng Shao, Mingming Fan, Wenyi Cui, Qionghua Xi, Yiyi Sun, Yanxia Niu, Xiangjie Zhao, Xuan Chen, Liping Wang, Yuqian Liu, Yachen Yang, Xinyu Wang, Chengcheng Zhong, Ce Tan, Wen Wang, Jianbin Wu, Chen Lin, Dongxin Nat Commun Article 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. Nature Publishing Group UK 2021-09-06 /pmc/articles/PMC8421382/ /pubmed/34489433 http://dx.doi.org/10.1038/s41467-021-25539-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhang, Xiannian
Peng, Linna
Luo, Yingying
Zhang, Shaosen
Pu, Yang
Chen, Yamei
Guo, Wenjia
Yao, Jiacheng
Shao, Mingming
Fan, Wenyi
Cui, Qionghua
Xi, Yiyi
Sun, Yanxia
Niu, Xiangjie
Zhao, Xuan
Chen, Liping
Wang, Yuqian
Liu, Yachen
Yang, Xinyu
Wang, Chengcheng
Zhong, Ce
Tan, Wen
Wang, Jianbin
Wu, Chen
Lin, Dongxin
Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis
title Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis
title_full Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis
title_fullStr Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis
title_full_unstemmed Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis
title_short Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis
title_sort dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421382/
https://www.ncbi.nlm.nih.gov/pubmed/34489433
http://dx.doi.org/10.1038/s41467-021-25539-x
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