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

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.

SUBMITTER: Zhang X

PROVIDER: S-EPMC8421382 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

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

Zhang Xiannian X Peng Linna L Luo Yingying Y Zhang Shaosen S Pu Yang Y Chen Yamei Y Guo Wenjia W Yao Jiacheng J Shao Mingming M Fan Wenyi W Cui Qionghua Q Xi Yiyi Y Sun Yanxia Y Niu Xiangjie X Zhao Xuan X Chen Liping L Wang Yuqian Y Liu Yachen Y Yang Xinyu X Wang Chengcheng C Zhong Ce C Tan Wen W Wang Jianbin J Wu Chen C Lin Dongxin D

Nature communications 20210906 1

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 be ...[more]

PMID: 34489433

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Project description:BackgroundEsophageal squamous cell carcinoma (ESCC) is among the most prevalent causes of cancer-related death in adults. Tumor microenvironment (TME) has been associated with therapeutic failure and lethal outcomes for patients. However, published reports on the heterogeneity and TME in ESCC are scanty.MethodsFive tumor samples and five corresponding non-malignant samples were subjected to scRNA-seq analysis. Bulk RNA sequencing data were retrieved in publicly available databases.FindingsFrom the scRNA-seq data, a total of 128,688 cells were enrolled for subsequent analyses. Gene expression and CNV status exhibited high heterogeneity of tumor cells. We further identified a list of tumor-specific genes and four malignant signatures, which are potential new markers for ESCC. Metabolic analysis revealed that energy supply-related pathways are pivotal in cancer metabolic reprogramming. Moreover, significant differences were found in stromal and immune cells between the esophagus normal and tumor tissues, which promoted carcinogenesis at both cellular and molecular levels in ESCC. Immune checkpoints, regarded as potential targets for immunotherapy in ESCC were significantly highly expressed in ESCC, including LAG3 and HAVCR2. Eventually, we constructed a cell-to-cell communication atlas based on cancer cells and immune cells and performed the flow cytometry, qRT-PCR, immunofluorescence, and immunohistochemistry analyses to validate the results.InterpretationThis study demonstrates a widespread reprogramming across multiple cellular elements within the TME in ESCC, particularly in transcriptional states, cellular functions, and cell-to-cell interactions. The findings offer an insight into the exploration of TME and heterogeneity in the ESCC and provide new therapeutic targets for its clinical management in the future.FundingThe work was supported by the Shanghai Pujiang Program (2020PJD009) and Research Development Fund of Zhongshan Hospital, Fudan University (2019ZSFZ002 and 2019ZSFZ19).

Dataset Information

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

Publications

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

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