A gene expression study denies the ability of 25 candidate biomarkers to predict the interferon-beta treatment response in multiple sclerosis patients

J Neuroimmunol. 2016 Mar 15:292:34-9. doi: 10.1016/j.jneuroim.2016.01.010. Epub 2016 Jan 16.

Abstract

We studied the baseline expression level of 25 interferon-regulated genes (MxA, GPR3, IL17RC, ISG15, TRAIL, OASL, IFIT1, IFIT2, RSAD2, OAS3, IFI44L, TRIM22, IL10, CXCL10, STAT1, OAS1, OAS2, IFNAR1, IFNAR2, IFNβ, ISG20, IFI6, PKR, IRF7, USP18), recurrently proposed in the literature as predictive biomarkers of interferon-beta treatment response, in whole blood of 10 "responders" and 10 "non-responders" multiple sclerosis relapsing-remitting patients, retrospectively selected on the basis of stringent clinical criteria after a five years follow-up. However, we cannot confirm the predictive value of these candidate biomarkers.

Keywords: Biomarkers; Gene expression; Interferon-beta; Multiple sclerosis; Treatment response.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Biomarkers / blood
  • Cytokines / genetics
  • Cytokines / metabolism*
  • Female
  • Gene Expression / drug effects*
  • Humans
  • Interferon-beta / therapeutic use*
  • Male
  • Middle Aged
  • Multiple Sclerosis / diagnosis
  • Multiple Sclerosis / drug therapy*
  • RNA, Messenger / metabolism
  • Retrospective Studies
  • Statistics, Nonparametric
  • Young Adult

Substances

  • Biomarkers
  • Cytokines
  • RNA, Messenger
  • Interferon-beta