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
Lien Pubmed
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