Ontology highlight
ABSTRACT: Background
A predictive model for biochemical recurrence (BCR) of prostate cancer (PCa) after neoadjuvant androgen deprivation therapy (nADT) has not been established. This study was aimed at determining multiparameter variables that could be used to construct a nomogram to predict the post-nADT BCR of PCa.Methods
Overall, 43 radical prostatectomy specimens from PCa patients who had undergone nADT were collected. Multiparameter variables were analyzed by univariate and then multivariate logistic analyses to identify the independent prognostic factors for predicting BCR. The predictive model was established using Lasso regression analysis.Results
Univariate logistic analysis revealed six variables, pathology stage; margins; categorization as group A, B, or C; nucleol
SUBMITTER: Sun Q
PROVIDER: S-EPMC10406657 | biostudies-literature | 2023 Sep
REPOSITORIES: biostudies-literature