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ABSTRACT: Background
Anti-TNF-alpha (anti-TNFα) therapies have transformed the care and management of inflammatory bowel disease (IBD). However, they are expensive and ineffective in greater than 50% of patients, and they increase the risk of infections, liver issues, arthritis, and lymphoma. With 1.6 million Americans suffering from IBD and global prevalence on the rise, there is a critical unmet need in the use of anti-TNFα therapies: a test for the likelihood of therapy response. Here, as a proof-of-concept, we present a multi-mRNA signature for predicting response to anti-TNFα treatment to improve the efficacy and cost-to-benefit ratio of these biologics.Methods
We surveyed public data repositories and curated four transcriptomic datasets (n = 136) from colonic and ileal m
SUBMITTER: Sakaram S
PROVIDER: S-EPMC8534494 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature