Nomograms integrating the collagen signature and systemic immune-inflammation index for predicting prognosis in rectal cancer patients.

ABSTRACT:

Background

This study aimed to develop and validate a model based on the collagen signature and systemic immune-inflammation index to predict prognosis in rectal cancer patients who underwent neoadjuvant treatment.

Methods

Patients with rectal cancer who had residual disease after neoadjuvant treatment at two Chinese institutions between 2010 and 2018 were selected, one used as a training cohort and the other as a validation cohort. In total, 142 fully quantitative collagen features were extracted using multiphoton imaging, and a collagen signature was generated by least absolute shrinkage and selection operator Cox regression. Nomograms were developed by multivariable Cox regression. The performance of the nomograms was assessed via calibration, discrimination and clinical

SUBMITTER: Yu X 

PROVIDER: S-EPMC10957166 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature