The influence of lncRNAs on the prognosis of prostate cancer based on TCGA database

• Published in: Translational andrology and urology 2021-03, Vol.10 (3), p.1302-1313
• Main Authors: Huang, Hang, Tang, Yufan, Ye, Xueting, Chen, Wei, Xie, Hui, Chen, Shengye
• Format: Article
• Language: English
• Subjects: Original
• ISSN: 2223-4691; 2223-4683; 2223-4691
• DOI: 10.21037/tau-21-154

Prostate adenocarcinoma (PRAD) is a common male urinary system cancer globally with a poor prognosis. Our research aims to explore the role of LncRNA in the occurrence and prognosis of prostate cancer and its underlying mechanism. The biomaRt package screened for the differentially expressed lncRNA. The survival package was used to identify lncRNAs related to prognosis. The survminer package completed the Kaplan-Meier survival curves. WGCNA (Weighted Gene Co-Expression Network Analysis) screened for the co-expressed genes. The ClusterProfiler package implemented the analysis results of GO (gene ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes). We performed differential expression analysis on the TCGA (The Cancer Genome Atlas) database to determine the association between LncRNA and Prostate cancer. The data of 500 Prostate cancer patients were tested. 6 LncRNAs (AC245884.1, LINC01524, AL807752.4, AP000844.2, AC016590.1, LINC00641) were selected as independent prognostic factors using statistical analysis methods, and their value was tested through multivariate COX analysis and Kaplan-Meier survival analysis. Through the study of co-expressed genes, the biological processes of these lncRNA enrichment are the perception and conduction of smell and taste. The specific carcinogenic and cancer-promoting mechanisms need further study. This study shows that lncRNA has a certain predictive effect on prostate cancer occurrence and prognosis and can be a new biomarker for prostate cancer survival and potential treatment targets.