Evidence map›Paper›PMID 25521333›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2015

Guidance for pharmacogenomic biomarker testing in labels of FDA-approved drugs.

Alexandre Vivot, Isabelle Boutron, Philippe Ravaud, Raphaël Porcher

Registry-linked trialAbstract read
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In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02458040 (Clinical Benefit of Genetic Biomarkers for Guiding Treatment Decisions in Oncology Drugs), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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.

NCT02458040 withdrawnnot on this map

Clinical Benefit of Genetic Biomarkers for Guiding Treatment Decisions in Oncology Drugs

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan2015 to 2016Enrolled0ConditionsNeoplasmsArmsDrug selected in the study
3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Transcriptional regulation of genetic variants in theThe Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Pharmacogenomic potential in advanced cancer patients.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2019
    Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Integrating pharmacogenetic testing into primary care.Expert review of precision medicine and drug development · 2017
    Article
  19. Pharmacogenomic biomarkers as inclusion criteria in clinical trials of oncology-targeted drugs: a mapping of ClinicalTrials.gov.Genetics in medicine : official journal of the American College of Medical Genetics · 2016
    Article
  20. Article
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

4 authors.

Alexandre VivotCentre d'Épidémiologie Clinique, Hôpital Hôtel Dieu, Assistance Publique des Hôpitaux de Paris, Paris, France.
Isabelle BoutronCentre d'Épidémiologie Clinique, Hôpital Hôtel Dieu, Assistance Publique des Hôpitaux de Paris, Paris, France.
Philippe RavaudCentre d'Épidémiologie Clinique, Hôpital Hôtel Dieu, Assistance Publique des Hôpitaux de Paris, Paris, France.
Raphaël PorcherCentre d'Épidémiologie Clinique, Hôpital Hôtel Dieu, Assistance Publique des Hôpitaux de Paris, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to compare guidance for genetic testing in US Food and Drug Administration (FDA)-approved drug labels in oncology to those of drugs for other therapeutic areas.

methodsWe reviewed labels of all the FDA-approved drugs with labels containing pharmacogenomic information. We assessed whether genetic testing was required or recommended before prescription and, if not, the reason for pharmacogenomic labeling.

resultsWe included 140 drugs corresponding to 158 drug-biomarker pairs. Overall, 46 (29%) of 158 pairs stated a requirement or recommendation for genetic biomarker testing in the label. This proportion was higher in oncology than in other areas (62 vs. 12%; P < 0.001). For the 112 drug-biomarker pairs (including 20 in oncology) without recommendation or requirement for genetic testing, the main reasons for pharmacogenomic labeling were change in pharmacologic end points (32%) and higher risk of toxicity (30%). For 11 (10%) pairs (including 1 in oncology), a genetic biomarker was mentioned only to inform that it was not relevant. In oncology, the main reasons for pharmacogenomic labeling were higher risk of toxicity (55%) and definition of the mechanism of action (25%).

conclusionInclusion of biomarkers in drug labels does not always correspond to required or recommended genetic testing, especially outside oncology.Genet Med 17 9, 733-738.

Indexed as

Biomarkers, PharmacologicalDrug ApprovalDrug LabelingGenetic MarkersGenetic TestingHumansPharmacogeneticsUnited StatesUnited States Food and Drug AdministrationBiomarkers, PharmacologicalGenetic Markers

Identifiers

PMID25521333

What OpenQuestion holds

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Registered trials

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.