Identifying important microbial biomarkers for the diagnosis of colon cancer using a random forest approach.

ABSTRACT: Colon cancer is one of the most common cancers, with 30-50 % of patients returning or metastasizing within 5 years of treatment. Increasingly, researchers have highlighted the influence of microbes on cancer malignant activity, while no studies have explored the relationship between colon cancer and the microbes in tumors. Here, we used tissue and blood samples from 67 colon cancer patients to identify pathogenic microorganisms associated with the diagnosis and prediction of colon cancer and evaluate the predictive performance of each pathogenic marker and its combination based on the next-generation sequencing data by using random forest algorithms. The results showed that we constructed a database of 13,187 pathogenic microorganisms associated with human disease and identified 2 pathogen

SUBMITTER: Cao L 

PROVIDER: S-EPMC10828680 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature