Prediction model of poorly differentiated colorectal cancer (CRC) based on gut bacteria.

ABSTRACT:

Background

The mortality of colorectal cancer is high, the malignant degree of poorly differentiated colorectal cancer is high, and the prognosis is poor.

Objective

To screen the characteristic intestinal microbiota of poorly differentiated intestinal cancer.

Methods

Fecal samples were collected from 124 patients with moderately differentiated CRC and 123 patients with poorly differentiated CRC, and the bacterial 16S rRNA V1-V4 region of the fecal samples was sequenced. Alpha diversity analysis was performed on fecal samples to assess the diversity and abundance of flora. The RDP classifier Bayesian algorithm was used to analyze the community structure. Linear discriminant analysis and Student's t test were used to screen the differences in flora. The PICRUSt1 method

SUBMITTER: Qi Z 

PROVIDER: S-EPMC9764708 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature