A prognostic nomogram for colorectal cancer: integrating blood microbiome and clinical factors.

ABSTRACT:

Background

The microbiota is pivotal in colorectal cancer (CRC), yet the prognostic value of the blood microbiome and its utility in clinical prediction models remain poorly explored. This study aims to develop a blood microbiome-associated prognostic score (MAPS) that integrates blood microbiome data with clinical factors to improve the accuracy of CRC prognosis prediction and enhance our understanding of the tumor microenvironment (TME).

Methods

We analyzed whole-genome and transcriptomic sequencing data of CRC patients from The Cancer Genome Atlas (TCGA). A MAPS was developed from blood microbiome data using the least absolute shrinkage and selection operator (LASSO) Cox regression algorithm. A nomogram integrating MAPS and key clinical factors was constructed to predict

SUBMITTER: Yang H 

PROVIDER: S-EPMC12780582 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature