Identification and predictive machine learning model construction of gut microbiota associated with carcinoembryonic antigens in colorectal cancer.

ABSTRACT: Carcinoembryonic antigen (CEA) is a critical colorectal cancer (CRC) biomarker, but its mechanistic link to gut microbiota remains unclear. This study characterized gut microbiota differences between high-CEA (H-CEA) and low-CEA (L-CEA) CRC patients and explored their associations with host immunity and tumor progression mechanisms. Stool samples from 187 CRC patients were subjected to 16S rRNA sequencing, identifying 30 differentially abundant bacteria using LEfSe analysis. Ruminococcus callidus was significantly enriched in H-CEA patients. Transcriptome sequencing of tumor tissues from 25 patients revealed distinct immune micro-environments: H-CEA patients showed elevated resting memory CD4⁺ T cells, while L-CEA patients showed increased T follicular helper cells. Funct

SUBMITTER: Wu Y 

PROVIDER: S-EPMC12570507 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature