Development and validation of nomograms for predicting the prognosis of colorectal cancer patients.

ABSTRACT:

Background

Accurate prognosis prediction is essential in colorectal cancer (CRC) for guiding treatment decisions, yet the traditional tumor-node-metastasis (TNM) staging system often lacks precision. This study aimed to develop improved prognostic tools for CRC patients.

Methods

Prognostic nomogram models were developed using data from 2,435 CRC patients who underwent curative resection. Parameters were selected via least absolute shrinkage and selection operator (LASSO) regression to include overall survival (OS) and disease-free survival (DFS) nomograms. The performance of these nomograms was evaluated against the TNM staging system using ROC analysis, calibration curves, and decision curve analysis (DCA).

Results

Critical prognostic factors identified included tumo

SUBMITTER: An Y 

PROVIDER: S-EPMC11985181 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature