Fiche publication


Date publication

novembre 2024

Journal

Cancer medicine

Auteurs

Membres identifiés du Cancéropôle Est :
Pr GODET Julien


Tous les auteurs :
Smyth J, Godet J, Choudhary A, Das A, Gkoutos GV, Acharjee A

Résumé

Colorectal cancer (CRC) is any cancer that starts in the colon or the rectum and presents a significant health concern. It is the third most diagnosed and the second deadliest cancer, with an estimated 153,020 new cases and 52,550 deaths in 2023. The severity of colon cancer may be attributed to its ability to avoid the host immune system and growth suppressors, its asymptomatic nature in the early stages, its association with a continually ageing population and unfavourable diet and obesity. The composition of the gut microbiome plays an important role in the development of CRC and presents as an important target in early detection and in predicting treatment outcomes in CRC. This study aims to identify microbiome-specific derived clusters in CRC patients and conduct subsequent survival analysis using the specific microbiome features within clusters.

Mots clés

clustering, machine learning, microbiome, personalised medicine, survival analysis

Référence

Cancer Med. 2024 11;13(22):e70434