Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis.
Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis.
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通过单细胞转录组学分析来解剖食管鳞状细胞癌生态系统。
DOI:
10.1038/s41467-021-25539-x
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发表时间:
2021-09-06
影响因子:
16.6
通讯作者:
Lin D
中科院分区:
文献类型:
--
作者:
Zhang X;Peng L;Luo Y;Zhang S;Pu Y;Chen Y;Guo W;Yao J;Shao M;Fan W;Cui Q;Xi Y;Sun Y;Niu X;Zhao X;Chen L;Wang Y;Liu Y;Yang X;Wang C;Zhong C;Tan W;Wang J;Wu C;Lin D
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. Esophageal squamous-cell carcinomas (ESCC) have poor prognosis, and detailed molecular profiles are necessary to identify prognostic markers. Here the authors analyse 60 ESCC patient samples using scRNA-seq, TCR-seq and genomics; they find mucosal immunity markers associated with survival and immunosuppressive microenvironments.
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影响因子:
64.8
作者:
Helmink BA;Reddy SM;Gao J;Zhang S;Basar R;Thakur R;Yizhak K;Sade-Feldman M;Blando J;Han G;Gopalakrishnan V;Xi Y;Zhao H;Amaria RN;Tawbi HA;Cogdill AP;Liu W;LeBleu VS;Kugeratski FG;Patel S;Davies MA;Hwu P;Lee JE;Gershenwald JE;Lucci A;Arora R;Woodman S;Keung EZ;Gaudreau PO;Reuben A;Spencer CN;Burton EM;Haydu LE;Lazar AJ;Zapassodi R;Hudgens CW;Ledesma DA;Ong S;Bailey M;Warren S;Rao D;Krijgsman O;Rozeman EA;Peeper D;Blank CU;Schumacher TN;Butterfield LH;Zelazowska MA;McBride KM;Kalluri R;Allison J;Petitprez F;Fridman WH;Sautès-Fridman C;Hacohen N;Rezvani K;Sharma P;Tetzlaff MT;Wang L;Wargo JA
通讯作者:
Wargo JA
影响因子:
50.3
作者:
Hanahan, Douglas;Coussens, Lisa M.
通讯作者:
Coussens, Lisa M.
影响因子:
64.8
作者:
Cabrita, Rita;Lauss, Martin;Jonsson, Goran
通讯作者:
Jonsson, Goran
影响因子:
64.5
作者:
Gubin MM;Esaulova E;Ward JP;Malkova ON;Runci D;Wong P;Noguchi T;Arthur CD;Meng W;Alspach E;Medrano RFV;Fronick C;Fehlings M;Newell EW;Fulton RS;Sheehan KCF;Oh ST;Schreiber RD;Artyomov MN
通讯作者:
Artyomov MN
影响因子:
64.5
作者:
Hugo W;Zaretsky JM;Sun L;Song C;Moreno BH;Hu-Lieskovan S;Berent-Maoz B;Pang J;Chmielowski B;Cherry G;Seja E;Lomeli S;Kong X;Kelley MC;Sosman JA;Johnson DB;Ribas A;Lo RS
通讯作者:
Lo RS