The above literature reports provide supporting evidence that IGF2BP3 and YTHDC2, identified here as candidate biomarkers, may be associated with disease progression in RA, validating our machine learning approach to identify relevant m6A methylation regulator biomarkers. The gene discussed is YTHDC2; the disease is rheumatoid arthritis.