Integrated analysis of long noncoding RNA associated-competing endogenous RNA as prognostic biomarkers in clear cell renal carcinoma

Cancer Science
Hang YinYunfeng Zhou

Abstract

Clear cell renal cell carcinoma (ccRCC) is one of the most common malignant carcinomas and its molecular mechanisms remain unclear. Long noncoding RNA (lncRNA) could bind sites of miRNA which affect the expression of mRNA according to the competing endogenous (ceRNA) theory. The aim of the present study was to construct a ceRNA network and to identify key lncRNA to predict survival prognosis. We identified differentially expressed mRNA, lncRNA and miRNA between tumor tissues and normal tissues from The Cancer Genome Atlas database. Then, using bioinformatics tools, we explored the connection of 89 lncRNA, 10 miRNA and 22 mRNA, and we constructed the ceRNA network. Furthermore, we analyzed the functions and pathways of 22 differentially expressed mRNA. Then, univariate and multivariate Cox regression analyses of these 89 lncRNA and overall survival were explored. Nine lncRNA were finally screened out in the training group. The patients were divided into high-risk and low-risk groups according to the 9 lncRNA and low-risk scores having better clinical overall survival (P < .01). Furthermore, the receiver operating characteristic curve demonstrates the predicted role of the 9 lncRNA. The 9-lncRNA signature was successfully proved ...Continue Reading

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Citations

Jul 20, 2019·Cancer Biomarkers : Section a of Disease Markers·Yi LiZhenjun Liu
Oct 8, 2020·Cancer Cell International·Yiru WangHang Yin

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Datasets Mentioned

BETA
AB073614
BC0032469

Software Mentioned

KOBAS
R package “ survival ‐ ROC ”
R
miRcode
miRanda
GENCODE
Cytoscape
Bioconductor of edgeR
SPSS
TargetScan

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