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

Abstract

Background: 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. Methods: 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). Results: 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. Conclusions: 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.