Abstract
Gut microbiota and their metabolites play a vital role in colon health and disease. Accumulating evidence suggests that the gut microbiota
contributes to the risk of colorectal cancer (CRC). However, the role of a specific microbial community together with their metabolites
contributing to the risk, initiation and progression of CRC is still unknown. Hence, we used a Bayesian Networks in combination with the
IDA (Intervention calculus when the DAG is absent) to generate a graphical model that allows causal relationships to be inferred from
observational data. Results from the analysis of publically available datasets showed that four species: Fusobacteium, Citrobacter,
Microbacterium and Slaxkia have estimated non-null lower bounds of causal effects of CRC. These findings support the hypothesis that
specific bacterial species (microbial markers) act in concert with locally modified microbiota to cause or influence CRC progression.
Additional comprehensive studies are required to validate the potential use of F. nucleatum, Citrobacter as well as Slackia as microbial
biomarkers in CRC for prevention, diagnosis, prognosis and/or therapeutics.