Longitudinal and time-to-event modeling for the survival of advanced pancreatic ductal adenocarcinoma patients.

ABSTRACT: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers especially at advanced stage. In order to analyze the dynamics of potential prognostic biomarkers and further quantify their relationships with the overall survival (OS) of advanced PDAC patients, we herein developed a parametric time-to-event (TTE) model integrated with longitudinal submodels. Data from 104 patients receiving standard chemotherapies were retrospectively collected for model development, and other 54 patients were enrolled as external validation. The longitudinal submodels were developed with the time-course data of sum of longest diameters (SLD) of tumors, serum albumin (ALB) and body weight (BW) using nonlinear mixed effect models. The model-derived metrics including model parameters and individual

SUBMITTER: Yao QY 

PROVIDER: S-EPMC11845622 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature