Identification of a Four Hypoxia-Associated Long Non-Coding RNA Signature and Establishment of a Nomogram Predicting Prognosis of Clear Cell Renal Cell Carcinoma

作者全名："Chen, Hualin; Pan, Yang; Jin, Xiaoxiang; Chen, Gang"

作者地址："[Chen, Hualin; Pan, Yang; Jin, Xiaoxiang; Chen, Gang] Chongqing Med Univ, Affiliated Hosp 1, Dept Urol, Chongqing, Peoples R China"

通信作者："Chen, G (corresponding author), Chongqing Med Univ, Affiliated Hosp 1, Dept Urol, Chongqing, Peoples R China."

来源：FRONTIERS IN ONCOLOGY

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:000683327700001

JCR分区：Q2

影响因子：4.7

年份：2021

卷号：11

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：clear cell renal cell carcinoma; hypoxia; lncRNA signature; nomogram; The Cancer Genome Atlas (TCGA)

摘要："To identify novel hypoxia-associated long non-coding RNAs (lncRNAs) as potential biomarkers, we developed a risk stratification signature and constructed a prognosis prediction nomogram of clear cell renal cell carcinoma (ccRCC). Hypoxia-related lncRNAs were identified through Pearson correlation analysis between the expression profiles of hypoxia-related differentially expressed genes and lncRNAs from The Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma (TCGA-KIRC) dataset. Then, a signature of four key lncRNAs (COMETT, EMX2OS, AC026462.3, and HAGLR) was developed. The four lncRNAs were downregulated in high-grade, advanced stage, and high-risk ccRCC. The signature had an independent and long-standing prognosis prediction ability up to a 10-year follow-up. Notably, the risk score was significantly positively correlated with the infiltration abundances of six immune cells from the Tumor IMmune Estimation Resource (TIMER). The gene set enrichment analysis (GSEA) also suggested that the signature was involved in metabolism and tumorigenesis, which were closely related to the hypoxic tumor microenvironment. Ultimately, a nomogram of signature, age, stage, and grade, was built to predict the individual long-term survival possibility. Finally, the expressions of four lncRNAs were validated by quantitative real-time PCR (qRT-PCR). Our study identified a four-lncRNA signature and established a prognostic nomogram that reliably predicts survival in ccRCC. The findings may be beneficial to therapeutic customization and medical decision-making."

基金机构：Chongqing Sc ience and Technology CommissionNatural Science Foundation Project of CQ CSTC [cstc2015shmszx120067]

基金资助正文："The authors declare that this study received funding from the Chongqing Sc ience and Technology Commission (cstc2015shmszx120067). The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article, or the decision to submit it for publication."