A5029840949- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- RNA Research and Splicing
- Molecular Biology Techniques and Applications
- Cardiac Imaging and Diagnostics
- Cancer-related molecular mechanisms research
Oslo University Hospital
2021-2024
University of Oslo
2021-2024
In primary prostate cancer, the common multifocality and heterogeneity are major obstacles in finding robust prognostic tissue biomarkers. The long noncoding RNA SCHLAP1 has been suggested, but its value not investigated context of tumor heterogeneity. present study, expression was using real-time RT-PCR a multisampled series 778 samples from radical prostatectomies 164 cancer patients (median follow-up time 7.4 y). evaluated with biochemical recurrence as endpoint. total, 29% were...
A cribriform pattern, reactive stroma (RS), PTEN, Ki67 and ERG are promising prognostic biomarkers in primary prostate cancer (PCa). We aim to determine the relative contribution of these factors Cancer Prostate Risk Assessment Postsurgical (CAPRA-S) score predicting PCa prognosis.We included 475 patients who underwent radical prostatectomy (2010-12, median follow-up = 8.7 years). Cribriform pattern was identified 57% patients, PTEN loss 55%, expression 51%, RS 39% high 9%. In with multiple...
Prognostic biomarkers for prostate cancer are needed to improve prediction of disease course and guide treatment decisions. However, biomarker development is complicated by the common multifocality heterogeneity disease. We aimed determine prognostic value candidate transcriptional regulator ERG related ETS family genes, while considering tumor heterogeneity. In a multisampled, prospective, treatment-naïve radical prostatectomy cohort from one tertiary center (2010-2012, median follow-up 8.1...
Prostate cancer with a cribriform pattern, including invasive carcinoma (ICC) and/or intraductal (IDC) is associated poor prognosis, and the underlying mechanisms are unclear. Therefore, we aimed to identify biomarkers for this feature. Using radical prostatectomy cohort, performed within-patient differential expression analyses RNA sequencing data compare samples pattern those non-cribriform Gleason 4 (NcGP4; n=13). ACSM1, GRIN3A, PCDHB2, REG4 were identified as differentially expressed,...