[Bioinformatic analysis of immune-related lncRNA based on TCGA database in patients with prostate cancer].

Objective To investigate the clinical significance of immune-related long non-coding RNAs (lncRNAs) and their potential role in guiding the treatment of prostate cancer. Methods lncRNAs of prostate cancer were obtained from TCGA database. The immune-related gene sets were downloaded from Molecular Signatures Database. Gene-lncRNA co-expression was confirmed by Pearson correlation analysis, and univariate Cox regression and selected operator regression (Lasso) were performed to identify important and immune-related lncRNAs. gglot package and survival package of R software were used to evaluate the correlation between the lncRNAs and clinical characteristics and the prognostic value of the lncRNAs. lnc2RNA database was used to analyze the difference of lncRNAs between normal prostate tissue and prostate cancer tissue. Starbase and David database were used to determine the predict function of lncRNAs in prostate cancer. Results AL162586.1, AC138028.4, SLC25A25-AS1, AC002553.1, AC004816.1, LINC00641 and AC027796.4 were key immune-related lncRNAs, and their expression was positively associated with N stage; the expression levels of AL162586.1 and SLC25A25-AS1 increased with higher T stage. The expression levels of SLC25A25-AS1 and LINC00641 were significantly different in tumor tissues from that of normal tissues. The GO enrichment showed that SLC25A25-AS1 was mainly distributed in membrane, had negative regulation of mRNA splicing via spliceosome and by a nucleotide binding. KEGG pathway enrichment showed that targeted genes were mainly involved in spliceosome pathway. Conclusion lncRNA has become a new research direction in prostate cancer and SLC25A25-AS1 may affect the prognosis of patients through splicing pathway.