NGDC - GSA for Human

HRA012776

HRA012776.xlsx

Title:

Identification and predictive machine learning models construction of gut microbiota associated with carcinoembryonic antigen in colorectal cancer

Release date:

2025-08-14

Description:

This study reveals Ruminococcus callidus as a key gut microbiota species enriched in CRC patients with high CEA levels, demonstrating its novel pro-tumor associations through positive correlations with mast cell infiltration and CXCL1 chemokine, and upregulation of long-chain fatty acid metabolism. Concurrently, we identify distinct immune micro-environments: elevated resting memory CD4+ T cells in high-CEA patients versus increased T follicular helper cells in low-CEA cohorts. Critically, by leveraging 30 differential microbial features, we develop machine learning models for noninvasive prediction of CEA levels. These findings establish gut microbiota as both a mechanistic mediator of CEA-driven CRC progression and a foundation for microbiome-based diagnostic tools.

Data Accessibility:

Controlled access Request Data

BioProject:

PRJCA044655

Study type:

Disease Study

Disease name:

colorectal cancer

Data Access Committee

For each controlled access study, there is a corresponding Data Access Committee(DAC) to determine the access permissions. Access to actual data files is not managed by NGDC.

DAC NO.:

HDAC006605

DAC name:

Contact person:

Tang Weizhong

Email:

tangweizhong@gxmu.edu.cn

Description:

Aspera Command Line