Training and validation of a novel 4-miRNA ratio model (MiCaP) for prediction of postoperative outcome in prostate cancer patients

Annals of Oncology : Official Journal of the European Society for Medical Oncology
L SchmidtKarina D Sørensen

Abstract

New molecular biomarkers for prostate cancer (PC) prognosis are urgently needed. Ratio-based models are attractive, as they require no additional normalization. Here, we train and independently validate a novel 4-miRNA prognostic ratio model for PC. By genome-wide miRNA expression profiling of PC tissue samples from 123 men who underwent radical prostatectomy (RP) (PCA123, training cohort), we identified six top candidate prognostic miRNAs and systematically tested their ability to predict postoperative biochemical recurrence (BCR). The best miRNA-based prognostic ratio model (MiCaP) was validated in two independent cohorts (PCA352 and PCA476) including >800 RP patients in total. Clinical end points were BCR and prostate cancer-specific survival (CSS). The prognostic potential of MiCaP was assessed by univariate and multivariate Cox-regression analyses and Kaplan-Meier analyses. We identified a 4-miRNA ratio model, MiCaP (miR-23a-3p×miR-10b-5p)/(miR-133a×miR-374b-5p), that predicted time to BCR independently of routine clinicopathologic variables in the training cohort (PCA123) and was successfully validated in two independent RP cohorts. In addition, MiCaP was a significant predictor of CSS in univariate analysis [HR 3.35 (95%...Continue Reading

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Citations

Mar 25, 2019·International Journal of Cancer. Journal International Du Cancer·Jacob FredsøeKarina D Sørensen
May 28, 2019·International Journal of Cancer. Journal International Du Cancer·Siri H StrandKarina D Sorensen
Jul 3, 2020·Scientific Reports·Siri H StrandKarina Dalsgaard Sørensen
Nov 17, 2020·Frontiers in Oncology·Wei HuangMing-Xiang Zou
Dec 29, 2020·Cancer Biomarkers : Section a of Disease Markers·Angelika TölleCarsten Stephan
Aug 3, 2021·Analytical Cellular Pathology (Amsterdam)·JunYu RenNing Xu

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