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01-04-2019 | Original Article

Integrated Bioinformatics Analysis of Potential Biomarkers for Prostate Cancer

Authors: Jiufeng Tan, Xuefei Jin, Kaichen Wang

Published in: Pathology & Oncology Research | Issue 2/2019

Abstract

The aim was to expound the pathogenesis of prostate cancer and to identify the potentially biomarkers for prostate cancer (PC). DNA methylation microarray data GSE38240 containing 8 prostate cancer metastases and 4 normal prostate samples as well as gene expression profile data GSE26910 containing 6 prostate primary tumors and 6 normal samples were used. Differentially expressed genes (DEGs) and differently methylated sites of PC were screened and the regulatory network was constructed with DEGs-related transcription factors (TFs). The obtained hub genes were subjected to protein-protein interaction network analysis. Enrichment analysis of down-regulated DEGs were performed. Total 351 DEGs including 190 down-regulated and 161 up-regulated genes and 3234 differently methylated sites were identified. In total 69 DEGs-related TFs were found. Regulatory network contained 1301 nodes and 2527 connection pairs and that FOXA1 (forkhead box A1), BZRAP1-AS1 (benzodiazapine receptor associated protein 1 antisense RNA 1) and KRT8 (keratin 8) were the top three nodes of it. The enriched GO terms were mainly biological activity of the blood and cells-related. Total 29 DEGs (such as AGTR1, angiotensin II receptor, type 1) and 57 none-DEGs involved in the PPI network. Biological functions in blood circulation and the involved AGTR1 may play important roles in PC by gene-methylation. Besides, BZRAP1-AS1 may be novel biomarker related with PC.

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Title: Integrated Bioinformatics Analysis of Potential Biomarkers for Prostate Cancer
Authors: Jiufeng Tan
Xuefei Jin
Kaichen Wang
Publication date: 01-04-2019
Publisher: Springer Netherlands
Published in: Pathology & Oncology Research / Issue 2/2019
Print ISSN: 1219-4956
Electronic ISSN: 1532-2807
DOI: https://doi.org/10.1007/s12253-017-0346-8

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