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DOI10.3389/fonc.2020.610513
Tumor Immune Microenvironment Characterization in Hepatocellular Carcinoma Identifies Four Prognostic and Immunotherapeutically Relevant Subclasses
Gao, Xingxing; Huang, Hechen; Wang, Yubo; Pan, Caixu; Yin, Shengyong; Zhou, Lin; Zheng, Shusen
通讯作者Zhou, L ; Zheng, SS (corresponding author), Zhejiang Univ, Affiliated Hosp 1, Dept Surg, Sch Med,Div Hepatobiliary & Pancreat Surg, Hangzhou, Peoples R China. ; Zhou, L ; Zheng, SS (corresponding author), NHC Key Lab Combined Multiorgan Transplantat, Hangzhou, Peoples R China. ; Zhou, L ; Zheng, SS (corresponding author), Res Ctr Diag & Treatment Hepatobiliary Dis, Key Lab Organ Transplantat, Hangzhou, Peoples R China.
来源期刊FRONTIERS IN ONCOLOGY
ISSN2234-943X
出版年2021
卷号10
英文摘要Purpose The tumor microenvironment (TME) plays a critical role in the pathogenesis of hepatocellular carcinoma (HCC). However, underlying compositions and functions that drive the establishment and maintenance of the TME classifications are less-well understood. Methods A total of 766 HCC patients from three public cohorts were clustered into four immune-related subclasses based on 13 TME signatures (11 immune-related cells and 2 immune-related pathways) calculated by MCP-counter. After analyzing the landscapes of functional annotation, methylation, somatic mutation, and clinical characteristics, we built a TME-based Support Vector Machine of 365 patients (discovery phase) and 401 patients (validation phase). We applied this SVM model on another two independent cohorts of patients who received sorafenib/pembrolizumab treatment. Results About 33% of patients displayed an immune desert pattern. The other subclasses were different in abundance of tumor infiltrating cells. The Immunogenic subclass (17%) associated with the best prognosis presented a massive T cell infiltration and an activation of immune checkpoint pathway. The 13 TME signatures showed a good potential to predict the TME classification (average AUC = 88%). Molecular characteristics of immunohistochemistry from Zhejiang cohort supported our SVM classification. The optimum response to pembrolizumab (78%) and sorafenib (81%) was observed in patients belonging to the Immunogenic subclass. Conclusions The HCC patients from distinct immune subclass showed significant differences in clinical prognosis and response to personalized treatment. Based on tumor transcriptome data, our workflow can help to predict the clinical outcomes and to find appropriate treatment strategies for HCC patients.
英文关键词tumor microenvironment carcinoma hepatocellular cancer immunology classification machine learning
类型Article
语种英语
开放获取类型Green Published, gold
收录类别SCI-E
WOS记录号WOS:000625543800001
WOS类目Oncology
WOS研究方向Oncology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/350320
作者单位[Gao, Xingxing; Huang, Hechen; Wang, Yubo; Pan, Caixu; Yin, Shengyong; Zhou, Lin; Zheng, Shusen] Zhejiang Univ, Affiliated Hosp 1, Dept Surg, Sch Med,Div Hepatobiliary & Pancreat Surg, Hangzhou, Peoples R China; [Gao, Xingxing; Huang, Hechen; Wang, Yubo; Pan, Caixu; Yin, Shengyong; Zhou, Lin; Zheng, Shusen] NHC Key Lab Combined Multiorgan Transplantat, Hangzhou, Peoples R China; [Gao, Xingxing; Huang, Hechen; Wang, Yubo; Pan, Caixu; Yin, Shengyong; Zhou, Lin; Zheng, Shusen] Res Ctr Diag & Treatment Hepatobiliary Dis, Key Lab Organ Transplantat, Hangzhou, Peoples R China
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Gao, Xingxing,Huang, Hechen,Wang, Yubo,et al. Tumor Immune Microenvironment Characterization in Hepatocellular Carcinoma Identifies Four Prognostic and Immunotherapeutically Relevant Subclasses[J],2021,10.
APA Gao, Xingxing.,Huang, Hechen.,Wang, Yubo.,Pan, Caixu.,Yin, Shengyong.,...&Zheng, Shusen.(2021).Tumor Immune Microenvironment Characterization in Hepatocellular Carcinoma Identifies Four Prognostic and Immunotherapeutically Relevant Subclasses.FRONTIERS IN ONCOLOGY,10.
MLA Gao, Xingxing,et al."Tumor Immune Microenvironment Characterization in Hepatocellular Carcinoma Identifies Four Prognostic and Immunotherapeutically Relevant Subclasses".FRONTIERS IN ONCOLOGY 10(2021).
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