Analysis of colorectal cancer and adenoma microbiome signatures and the application of machine learning classification as a potential screening tool

Recent studies have revealed a link between the development of colorectal cancer (CRC) and the composition of the patient's intestinal microbiome. Since this cancer usually progresses from an adenoma form, detection at an initial adenoma stage is essential for increasing the success rate of treatment. The aims of this study have been to identify microbial signatures associated with CRC and adenoma and to optimize machine learning algorithms for the early screening of CRC based on the stool microbiome.