Where is the limit of prostate cancer biomarker research? Systematic investigation of potential prognostic and diagnostic biomarkers
| Autor: | Tobias Kremer, Glen Kristiansen, Yuri Tolkach, Anika Kremer |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male Oncology Biochemical recurrence medicine.medical_specialty Biomedical Research Multivariate analysis Bioinformatics Urology 030232 urology & nephrology Adenocarcinoma lcsh:RC870-923 Prognostic Cohort Studies 03 medical and health sciences Prostate cancer 0302 clinical medicine Internal medicine Biomarkers Tumor medicine Humans Diagnostic Epigenetics Aged Proportional hazards model business.industry Hazard ratio mRNA expression Prostatic Neoplasms General Medicine Middle Aged lcsh:Diseases of the genitourinary system. Urology Prognosis medicine.disease Gene Expression Regulation Neoplastic Reproductive Medicine 030220 oncology & carcinogenesis Cohort Biomarker (medicine) business Biomarkers Research Article |
| Zdroj: | BMC Urology BMC Urology, Vol 19, Iss 1, Pp 1-10 (2019) |
| ISSN: | 1471-2490 |
| Popis: | Background The identification of appropriate biomarkers is essential to support important clinical decisions in patients with prostate cancer. The aim of our study was a systematic bioinformatical analysis of the mRNA expression of all genes available for the prostate adenocarcinoma cohort of The Cancer Genome Atlas (TCGA), regarding their potential prognostic and diagnostic role. Methods The study cohort comprises 499 patients (TCGA prostate cancer cohort). mRNA expression data were available for approx. 20,000 genes. The bioinformatical statistical pipeline addressed gene expression differences in tumor vs. benign prostate tissue (including gene set enrichment analysis, GSEA) in samples from tumors with different aggressivenesses (Gleason score), as well as prognostic values in multistep survival analyses. Results Among all genes analyzed, 1754 were significantly downregulated and 1553 genes were significantly upregulated in tumor tissue. In GSEA, 16 of 30 top enriched biological processes were alterations of epigenetic regulation at different levels. Significant correlation with Gleason Score was evident for 8724 genes (range of Pearson r-values 0.09–0.43; all p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink