Personalized prognostic model for colorectal cancer in the era of precision medicine: a dynamic approach based on real-world data.

ABSTRACT:

Background

Predicting individual prognosis is required for patients with colorectal cancer in the era of precision medicine. However, this may be challenging for the conventional survival analysis such as the Cox proportional hazards model. This study aims to develop a personalized prognostic prediction that incorporates longitudinal data to improve predictions for colorectal cancer patients.

Methods

Patients with advanced or recurrent colorectal cancer, who received treatment at Kyoto University Hospital between April 2015 and December 2021, were retrospectively analyzed. The Joint model is one of the dynamic prediction models. Using longitudinal clinical data, a carcinoembryonic antigen (CEA) prediction equation was developed for each patient. Additionally, a personalized

SUBMITTER: Okura K 

PROVIDER: S-EPMC12187870 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature