Predictive value of drug efficacy by M6A modification patterns in rheumatoid arthritis patients.

ABSTRACT:

Background

Rheumatoid arthritis is a highly heterogeneous autoimmune disease characterized by unpredictable disease flares and significant differences in therapeutic response to available treatments. One possible reason for poor efficacy is that it cannot be treated accurately due to no optimal stratification for RA patients.

Objective

This study aims to construct an RA classification model by m6A characters and further predict response to medication.

Methods

Twenty m6A regulators were used to construct a random forest diagnosis model, and RNA-seq analysis was employed for external validation. The RNA modification patterns mediated by 20 m6A regulators were systematically evaluated in 1191 RA samples and explored different molecular clusters associated with other immu

SUBMITTER: Song S 

PROVIDER: S-EPMC9427021 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature