Evidence map›Paper›PMID 28569182›Full record

ArticleGenome medicine2017

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

Colin J Ross, Fadi Towfic, Jyoti Shankar, Daphna Laifenfeld, Mathis Thoma, Matthew Davis, Brian Weiner, Rebecca Kusko, Ben Zeskind, Volker Knappertz and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Pathogenic Single Nucleotide Polymorphisms on Autophagy-Related Genes.International journal of molecular sciences · 2020
    Review
  8. Involvement of Genetic Factors in Multiple Sclerosis.Frontiers in cellular neuroscience · 2020
    Article
  9. Review
  10. Article
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

Colin J RossFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
Fadi TowficImmuneering Corporation, Cambridge, MA, USA.
Jyoti ShankarImmuneering Corporation, Cambridge, MA, USA.ORCID 0000-0002-3997-4561
Daphna LaifenfeldTeva Pharmaceutical Industries Ltd, Petach Tikva, Israel.
Mathis ThomaTeva Pharmaceutical Industries, Frazer, PA, USA.
Matthew DavisTeva Pharmaceutical Industries, Frazer, PA, USA.
Brian WeinerImmuneering Corporation, Cambridge, MA, USA.
Rebecca KuskoImmuneering Corporation, Cambridge, MA, USA.
Ben ZeskindImmuneering Corporation, Cambridge, MA, USA.
Volker KnappertzTeva Pharmaceutical Industries, Frazer, PA, USA.
Iris GrossmanTeva Pharmaceutical Industries Ltd, Petach Tikva, Israel. Iris.Grossman@teva.co.il.
Michael R HaydenTeva Pharmaceutical Industries Ltd, Petach Tikva, Israel.
Immuneering (United States)Teva Pharmaceuticals (Israel) · ILTeva Pharmaceuticals (United States) · USUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCopaxone is an efficacious and safe therapy that has demonstrated clinical benefit for over two decades in patients with relapsing forms of multiple sclerosis (MS). On an individual level, patients show variability in their response to Copaxone, with some achieving significantly higher response levels. The involvement of genes (e.g., HLA-DRB1*1501) with high inter-individual variability in Copaxone's mechanism of action (MoA) suggests the potential contribution of genetics to treatment response. This study aimed to identify genetic variants associated with Copaxone response in patient cohorts from late-phase clinical trials.

methodsSingle nucleotide polymorphisms (SNPs) associated with high and low levels of response to Copaxone were identified using genome-wide SNP data in a discovery cohort of 580 patients from two phase III clinical trials of Copaxone. Multivariable Bayesian modeling on the resulting SNPs in an expanded discovery cohort with 1171 patients identified a multi-SNP signature of Copaxone response. This signature was examined in 941 Copaxone-treated MS patients from seven independent late-phase trials of Copaxone and assessed for specificity to Copaxone in 310 Avonex-treated and 311 placebo-treated patients, also from late-phase trials.

resultsA four-SNP signature consisting of rs80191572 (in UVRAG), rs28724893 (in HLA-DQB2), rs1789084 (in MBP), and rs139890339 (in ZAK(CDCA7)) was identified as significantly associated with Copaxone response. Copaxone-treated signature-positive patients had a greater reduction in annualized relapse rate (ARR) compared to signature-negative patients in both discovery and independent cohorts, an effect not observed in Avonex-treated patients. Additionally, signature-positive placebo-treated cohorts did not show a reduction in ARR, demonstrating the predictive as opposed to prognostic nature of the signature. A 10% subset of patients, delineated by the signature, showed marked improvements across multiple clinical parameters, including ARR, MRI measures, and higher proportion with no evidence of disease activity (NEDA).

conclusionsThis study is the largest pharmacogenetic study in MS reported to date. Gene regions underlying the four-SNP signature have been linked with pathways associated with either Copaxone's MoA or the pathophysiology of MS. The pronounced association of the four-SNP signature with clinical improvements in a ~10% subset of the MS patient population demonstrates the complex interplay of immune mechanisms and the individualized nature of response to Copaxone.

Indexed as

Pharmacogenomic VariantsPolymorphism, Single NucleotideAdultBayes TheoremClinical Trials, Phase III as TopicClinical Trials, Phase IV as TopicFemaleGlatiramer AcetateHumansMaleMiddle AgedModels, GeneticModels, StatisticalMultiple SclerosisPrecision MedicineYoung AdultGlatiramer AcetateCopaxoneGlatiramer acetateInter-individual variabilityMultiple sclerosisMulti-SNP signatureMultivariable Bayesian modelingPharmacogeneticsTreatment-response

Identifiers

PMID28569182
PMCPMC5450152
OpenAlexW2620529798

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.