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Identification of an individualized autophagy prognostic index in clear cell renal cell carcinoma patients
Author(s) -
Yi Jin,
Feng Li,
Peiyuan Guo,
Keqin Dong,
Peng Guo,
Haoyuan Wang,
Yujia Chen,
Zhiyu Wang
Publication year - 2020
Publication title -
translational cancer research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 2219-6803
pISSN - 2218-676X
DOI - 10.21037/tcr.2020.03.06
Subject(s) - clear cell renal cell carcinoma , kegg , proportional hazards model , hazard ratio , clear cell , renal cell carcinoma , autophagy , oncology , medicine , cancer , biology , gene , gene expression , transcriptome , genetics , confidence interval , apoptosis
Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer. ccRCC arises from the proximal tubular epithelium and is associated with high mortality. Autophagy may either promote or suppress tumor cell survival at different stages of cancer development. It is essential to investigate the association between autophagy-related genes (ARGs) and prognosis in ccRCC patients. We used datasets obtained from The Cancer Genome Atlas (TCGA) database to identify the expression level of ARGs in ccRCC patients. Functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed using Metascape database. Hub genes were identified by Cytoscape software. We constructed a Cox proportional hazard regression model to identify hub genes that are significantly associated with overall survival (OS) in ccRCC patients. Subsequently, a prognostic index (PI) was calculated and ccRCC patients were stratified into high-risk and low-risk groups based on a median PI value. Our study detected several altered ARGs in ccRCC, which could be a useful prognostic tool in ccRCC patients.

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