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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Construction of DNA methylation-based nomogram for predicting biochemical-recurrence-free survival in prostate cancer
1Department of Oncology, Jiangnan Hospital Affiliated to Zhejiang University of Traditional Chinese Medicine (Xiaoshan Hospital of Traditional Chinese Medicine), Hangzhou, Zhejiang, China.
Abstract:
This study aimed to develop a DNA methylation-based nomogram for predicting biochemical recurrence in patients with prostate cancer. A DNA methylation signature was obtained via univariate, lasso, and stepwise multivariate Cox regression models. A 11-DNA methylation signature yielded a high evaluative performance for biochemical-recurrence-free survival. Cox regression analysis indicated that 11-DNA methylation signature and Gleason score served as independent risk factors. A nomogram was constructed based on the 11-DNA methylation signature and Gleason score, and C-index as well as the calibration plots demonstrated good performance and clinical application of the nomogram. A DNA methylation-associated nomogram serve as a prognosis stratification tool to predict the biochemical recurrence of prostate cancer patients after radical prostatectomy.
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