Cure8 research brief
Why This Matters
Predicting who will relapse after stopping anti-TNF drugs could help avoid unnecessary flares or unnecessary ongoing treatment. A biopsy-based transcriptomic test could be a useful decision tool if validated.
Who Should Pay Attention
Researchers studying IBD biomarkers and transcriptomics, clinicians managing UC patients considering anti-TNF withdrawal, and patients on anti-TNF biologics interested in treatment cessation risks.
Study Snapshot
What To Know
This study used mucosal rectal biopsies and RNA sequencing from patients in a randomized withdrawal trial (BIOSTOP) and trained a semi-supervised ML model on a targeted 38-gene panel.
The model reported good sensitivity for detecting patients who later relapsed after anti-TNF withdrawal but showed only moderate specificity, and performance dropped in the independent inference cohort.
The authors highlight several genes (including IL1B, TYROBP, S100A8, TNF) that contributed most to relapse prediction and others (MUC2, HMGCS2, CDKN1A) associated with sustained remission.
The paper is a preprint and reports promising early results, but the authors and the abstract note the need for multi-center validation in larger, more diverse cohorts before clinical use.
Keep In Mind
The study is a preprint (medRxiv) using samples from the BIOSTOP randomized withdrawal trial. Performance was better in the primary test cohort than in the inference cohort; authors call for multi-center validation before clinical deployment.
Source Details
Review the original publication for the complete reporting, methods, and context.
Funding disclosed by the source: South-Eastern Norway Health Authority, award 2023090
This Cure8 brief is based on source text from the linked article. Cure8 is informational only and is not a substitute for professional medical advice, diagnosis, or treatment.