Analysis of Autophagy-Related Signatures Identified Two Distinct Subtypes for Evaluating the Tumor Immune Microenvironment and Predicting Prognosis in Ovarian Cancer

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成果类型：

期刊论文

作者：

Chen, Xingyu;Lan, Hua;He, Dong;Wang, Zhanwang;Xu, Runshi;...

作者机构：

[Chen, Xingyu; Xiao, Mengqing; Gong, Lian; Cao, Ke; Zhang, Yao; Wang, Zhanwang] Cent South Univ, Dept Oncol, Xiangya Hosp 3, Changsha, Peoples R China.

[Lan, Hua; Xiao, Songshu; Yuan, Jing] Cent South Univ, Dept Obstet & Gynecol, Xiangya Hosp 3, Changsha, Peoples R China.

[He, Dong] Hunan Univ Chinese Med, Peoples Hosp Hunan Prov 2, Changsha, Peoples R China.

[Xu, Runshi] Hunan Univ Chinese Med, Med Sch, Changsha, Peoples R China.

语种：

英文

关键词：

ovarian cancer;prognostic risk signature;Autophagy-related genes;Tumor immune microenvironment;Immunotherapy

期刊：

Frontiers in Oncology

ISSN：

2234-943X

年：

2021

卷：

页码：

616133

DOI：

10.3389/fonc.2021.616133

基金类别：

This work was supported by the National Natural Science Foundation of China (81874137), the Science and Technology Innovation Program of Hunan Province (2020RC4011), the Outstanding Youth Foundation of Hunan Province (2018JJ1047), the Hunan Province Science and Technology Talent Promotion Project (2019TJ-Q10), Young Scholars of “Furong Scholar Program” in Hunan Province, and the Wisdom Accumulation and Talent Cultivation Project of the Third Xiangya Hospital of Central South University (BJ202001), Philosophy and Social Science Foundation Project of Hunan Province (19YBA349), Clinical Medical Technology Innovation Guidance Plan of Hunan Province (2020SK53607).

机构署名：

本校为其他机构

院系归属：

医学院

摘要：

Ovarian cancer (OC) is one of the most lethal gynecologic malignant tumors. The interaction between autophagy and the tumor immune microenvironment has clinical importance. Hence, it is necessary to explore reliable biomarkers associated with autophagy-related genes (ARGs) for risk stratification in OC. Here, we obtained ARGs from the MSigDB database and downloaded the expression profile of OC from TCGA database. The k-means unsupervised clustering method was used for clustering, and two subclasses of OC (cluster A and cluster B) were identified. SsGSEA method was used to quantify the levels o...

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Analysis of Autophagy-Related Signatures Identified Two Distinct Subtypes for Evaluating the Tumor Immune Microenvironment and Predicting Prognosis in Ovarian Cancer

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