Prediction of anti-TNF therapy failure in ulcerative colitis patients by ensemble machine learning: A prospective study.

ABSTRACT: Nowadays, anti-TNF therapy remarkably improves the medical management of ulcerative colitis (UC), but approximately 40 % of patients do not respond to this treatment. In this study, we used 79 anti-TNF-naive patients with moderate-to-severe UC from four cohorts to discover alternative therapeutic targets and develop a personalized medicine approach that can diagnose UC non-responders (UCN) prior to receiving anti-TNF therapy. To this end, two microarray data series were integrated to create a discovery cohort with 35 UC samples. A comprehensive gene expression and functional analysis was performed and identified 313 significantly altered genes, among which IL6 and INHBA were highlighted as overexpressed genes in the baseline mucosal biopsies of UCN, whose cooperation may lead

SUBMITTER: Derakhshan Nazari MH 

PROVIDER: S-EPMC10623293 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature