Identifying anti-TNF response biomarkers in ulcerative colitis using a diffusion-based signalling model.

ABSTRACT:

Motivation

Resistance to anti-TNF therapy in subgroups of ulcerative colitis (UC) patients is a major challenge and incurs significant treatment costs. Identification of patients at risk of nonresponse to anti-TNF is of major clinical importance. To date, no quantitative computational framework exists to develop a complex biomarker for the prognosis of UC treatment. Modelling patient-wise receptor to transcription factor (TF) network connectivity may enable personalized treatment.

Results

We present an approach for quantitative diffusion analysis between receptors and TFs using gene expression data. Key TFs were identified using pandaR. Network connectivities between immune-specific receptor-TF pairs were quantified using network diffusion in UC patients and controls. The pa

SUBMITTER: Singh A 

PROVIDER: S-EPMC9710619 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature