生物
肾细胞癌
医学
基因
单变量
生物标志物
基因表达
图谱
内科学
生物信息学
计算生物学
肿瘤科
遗传学
多元统计
蛋白质表达
统计
数学
作者
Longxiang Xie,Huimin Li,Lu Zhang,Xiaoyu Ma,Yifang Dang,J.J. Guo,Jiahao Liu,Linna Ge,Fangmei Nan,Huan Dong,Zhongyi Yan,Xiangqian Guo
出处
期刊:Aging
[Impact Journals, LLC]
日期:2020-01-30
卷期号:12 (2): 1828-1842
被引量:64
标识
DOI:10.18632/aging.102715
摘要
Autophagy can protect cells and organisms from stressors such as nutrient deprivation, and is involved in many pathological processes including human cancer.Therefore, it is necessary to investigate the role of autophagyrelated genes (ARGs) in cancer.In this study, we investigated the gene expression of 222 ARGs in 1048 Kidney Renal Clear Cell Carcinoma (KIRC) cases, from 5 independent cohorts.The gene expression of ARGs were first evaluated in the The Cancer Genome Atlas (TCGA) by Recevier Operating Characteristic (ROC) analysis to select potential biomarkers with extremely high ability in KIRC detection (AUC≥0.85 and p<0.0001).Then in silico procedure progressively leads to the selection of two genes in a three rounds of validation performed in four human KIRC-patients datasets including two independent Gene Expression Omnibus (GEO) datasets, Oncomine dataset and Human Protein Atlas dataset.Finally, only P4HB (Prolyl 4-hydroxylase, beta polypeptide) gene was experimentally validated by RT-PCR between control kidney cells and cancer cells.Following univariate and multivariate analyses of TCGA-KIRC clinical data showed that P4HB expression is an independent prognostic indicator of unfavorable overall survival (OS) for KIRC patients.Based on these findings, we proposed that P4HB might be one potential novel KIRC diagnostic and prognostic biomarker at both mRNA and protein levels.
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