Abstract
Background: Few studies on predicting survival in patients with histology of mucinous adenocarcinoma of the prostate have been done.Objective: Nomogram is a mathematical model in which various important factors are combined to predict a specific end point. The purpose of this study was to evaluate the prognostic value of clinical factors in patients with mucinous adenocarcinoma and to construct nomogram to predict the survival rate. Design,Setting,and Participants: A nomogram was designed to predict the survival rate of 356 patients with invasive ductal carcinoma selected from the surveillance, epidemiology and final results (SEER) database. Univariate and multivariate models of the cohort were done firstly.And then a model of nomogram that included age, race, grade, stage M and chemotherapy were constructed to predict the 3-year and 5-year survival of prostate cancer patients with histology of mucinous adenocarcinoma. Based on different time, we designed two nomograms.Results and limitations: After the discrimination and calibration, C-index was 0.8138. The specificity was 86.12%, sensitivity was 55.89% for 3-year nomogram . Its survival was 91.49% and AUC was 0.7467. The specificity was 82.42%, sensitivity was 54.83% for 5-year nomogram. Its Survival was 86.73% and AUC was 0.7555. Respectively, which indicated relative good discrimination of the nomogram. Conclusions: This clinical model shows a high ability to predict the survival rate of mucinous adenocarcinoma patients with histologically prostate cancer, making this model a novel and attractive model for predicting the survival rate of patients.
Nomogram for Predicting Survival in Mucinous Adenocarcinoma of Prostate
