Multi-omics derivation of a core gene signature for predicting therapeutic response and characterizing immune dysregulation in inflammatory bowel disease
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Key Points
The four-gene signature showed exceptional diagnostic performance with AUCs up to 0.97 across validation algorithms.
Patients classified by consensus clustering exhibited distinct immune profiles, influencing treatment responses to biologics.
Machine learning algorithms guided the derivation of a core gene signature from multi-omics data to identify therapeutic responders.
Risk stratification based on the gene signature enhanced prediction of biologic treatment responses across multiple datasets.
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Implication
Observational analysis derives a four-gene signature predicting therapeutic response in IBD, indicating potential for personalized treatments.