Literature DB >> 21115201

Population structure and HLA DRB1 1501 in the response of subjects with multiple sclerosis to first-line treatments.

Robert Gross1, Brian C Healy, Sabine Cepok, Tanuja Chitnis, Samia J Khoury, Bernard Hemmer, Howard L Weiner, David A Hafler, Philip L De Jager.   

Abstract

Using retrospectively collected outcome data for treatment naïve subjects treated with either glatiramer acetate (GA) (n=332) or interferon beta (IFN β) (n=424), we replicated the lack of a significant difference in efficacy between these treatments. Further, for both treatments, we observed a decline in the hazard of a relapse over time, which may suggest the existence of subsets of subjects with differential responses to each treatment. The HLA DRB1 1501 allele explained some of this variation in event-free survival while on GA, and we found suggestive evidence that an IRF8 polymorphism influences event-free survival in IFN β treated subjects.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21115201     DOI: 10.1016/j.jneuroim.2010.10.038

Source DB:  PubMed          Journal:  J Neuroimmunol        ISSN: 0165-5728            Impact factor:   3.478


  9 in total

1.  Clinical relevance and functional consequences of the TNFRSF1A multiple sclerosis locus.

Authors:  Linda Ottoboni; Irene Y Frohlich; Michelle Lee; Brian C Healy; Brendan T Keenan; Zongqi Xia; Tanuja Chitnis; Charles R Guttmann; Samia J Khoury; Howard L Weiner; David A Hafler; Philip L De Jager
Journal:  Neurology       Date:  2013-10-30       Impact factor: 9.910

2.  Disease mechanisms in MS: RNA profiling uncovers two distinct subsets of patients with multiple sclerosis.

Authors:  Heather Wood
Journal:  Nat Rev Neurol       Date:  2012-10-16       Impact factor: 42.937

Review 3.  Current developments in pharmacogenomics of multiple sclerosis.

Authors:  Rebecca J Carlson; J Ronald Doucette; Adil J Nazarali
Journal:  Cell Mol Neurobiol       Date:  2014-08-15       Impact factor: 5.046

4.  Sex and gender issues in multiple sclerosis.

Authors:  Hanne F Harbo; Ralf Gold; Mar Tintoré
Journal:  Ther Adv Neurol Disord       Date:  2013-07       Impact factor: 6.570

5.  An RNA profile identifies two subsets of multiple sclerosis patients differing in disease activity.

Authors:  Linda Ottoboni; Brendan T Keenan; Pablo Tamayo; Manik Kuchroo; Jill P Mesirov; Guy J Buckle; Samia J Khoury; David A Hafler; Howard L Weiner; Philip L De Jager
Journal:  Sci Transl Med       Date:  2012-09-26       Impact factor: 17.956

6.  Gene expression studies of a human monocyte cell line identify dissimilarities between differently manufactured glatiramoids.

Authors:  Sarah Kolitz; Tal Hasson; Fadi Towfic; Jason M Funt; Shlomo Bakshi; Kevin D Fowler; Daphna Laifenfeld; Augusto Grinspan; Maxim N Artyomov; Tal Birnberg; Rivka Schwartz; Arthur Komlosh; Liat Hayardeny; David Ladkani; Michael R Hayden; Benjamin Zeskind; Iris Grossman
Journal:  Sci Rep       Date:  2015-05-22       Impact factor: 4.379

Review 7.  Pharmacogenetic Biomarkers to Predict Treatment Response in Multiple Sclerosis: Current and Future Perspectives.

Authors:  Patricia K Coyle
Journal:  Mult Scler Int       Date:  2017-07-19

Review 8.  Pharmacogenomics of Multiple Sclerosis: A Systematic Review.

Authors:  Keli Hočevar; Smiljana Ristić; Borut Peterlin
Journal:  Front Neurol       Date:  2019-02-26       Impact factor: 4.003

9.  A pharmacogenetic signature of high response to Copaxone in late-phase clinical-trial cohorts of multiple sclerosis.

Authors:  Colin J Ross; Fadi Towfic; Jyoti Shankar; Daphna Laifenfeld; Mathis Thoma; Matthew Davis; Brian Weiner; Rebecca Kusko; Ben Zeskind; Volker Knappertz; Iris Grossman; Michael R Hayden
Journal:  Genome Med       Date:  2017-05-31       Impact factor: 11.117

  9 in total

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