Unknown

Dataset Information

Derivation and validation of lifestyle-based and microbiota-based models for colorectal adenoma risk evaluation and self-prediction.


ABSTRACT:

Objective

Early warning and screening of colorectal adenoma (CRA) is important for colorectal cancer (CRC) prevention. This study aimed to construct a non-invasive prediction model to improve CRA screening efficacy.

Methods

This study incorporated three cohorts, comprising 9747 participants who underwent colonoscopy. In cohort 1, 683 participants were prospectively recruited with comprehensive lifestyle information and faecal samples. CRA-associated bacteria were identified through 16S rRNA sequencing and quantitative real-time PCR. CRA prediction models were established using lifestyle and gut microbiota information. Cohort 2 prospectively enrolled 1529 participants to validate the lifestyle-based model, while cohort 3 retrospectively analysed 7535 individuals to determine

SUBMITTER: Zhou YL 

PROVIDER: S-EPMC12001358 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature