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Updated: Feb 9, 2026

A Genetically Engineered Mouse Model of Sporadic Colorectal Cancer
Published on: July 6, 2017
Distinct prophage infections in colorectal cancer-associated Bacteroides fragilis
Flemming Damgaard1,2, Magnus G Jespersen3, Jens K Møller4,5
1Department of Clinical Microbiology, Odense University Hospital, Odense, Denmark. flemming.damgaard.nielsen@rsyd.dk.
Background:
Colorectal cancer (CRC) patients exhibit distinct gut microbiota disruption, known as dysbiosis, which is believed to play a causative role in CRC. One of the key bacterial species implicated in CRC dysbiosis is Bacteroides fragilis, which presents a paradox as it is also present in most healthy individuals. This discrepancy underscores the need for analysis beyond species-level associations and to investigate intraspecies variation within B. fragilis.
Methods:
From a highly specific collection of B. fragilis isolates from CRC patients and controls, a pangenome-wide association study was conducted, identifying intraspecies genetic variations associated with CRC. The CRC association of these genetic variations were then validated in a metagenome sequencing cohort of faecal samples from 877 individuals, with and without CRC. To test group differences a mixed effects logistic regression with cohort as a random effect was performed for each genetic variation.
Results:
Here we show that CRC-associated B. fragilis isolates are infected with specific Caudoviricetes prophages, significantly more often than negative controls. The initial discovery was made in our highly specific isolate collection and then validated in an independent metagenome sequencing cohort, finding that CRC patients were twice as likely to have detectable levels of these phages (OR = 2.05, p = 2.522E-7, SE = 0.139).
Conclusions:
To our knowledge, these findings mark the first link between one of the most implicated driver bacteria and phages in CRC and suggest a more complex role of phages in CRC dysbiosis than current models suggest and highlights the potential of phages as CRC biomarkers.
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