Evidence map›Paper›PMID 28761069›Full record

ArticleScientific reports2017

Evidence for Treatment-by-Biomarker interaction for FDA-approved Oncology Drugs with Required Pharmacogenomic Biomarker Testing.

Alexandre Vivot, Isabelle Boutron, Geoffroy Béraud-Chaulet, Jean-David Zeitoun, Philippe Ravaud, Raphaël Porcher

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 22% 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.

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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
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  3. Article
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  7. Article
  8. Article
  9. Review
  10. Decision Support Systems in Oncology.JCO clinical cancer informatics · 2019
    Review
  11. Impact of Molybdenum Compounds as Anticancer Agents.Bioinorganic chemistry and applications · 2019
    Review
  12. 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

6 authors at 2 institutions in 2 countries.

Alexandre VivotClinical Epidemiology Unit, Hôtel-Dieu Hospital, Greater Paris University Hospital (AP-HP), Paris, France. alexandre.vivot@aphp.fr.ORCID 0000-0001-9281-3129
Isabelle BoutronClinical Epidemiology Unit, Hôtel-Dieu Hospital, Greater Paris University Hospital (AP-HP), Paris, France.
Geoffroy Béraud-ChauletClinical Epidemiology Unit, Hôtel-Dieu Hospital, Greater Paris University Hospital (AP-HP), Paris, France.
Jean-David ZeitounEpidemiology and Statistics Sorbonne Paris Cité Research Center (CRESS), INSERM, Paris Descartes University, Paris, UMR1153, France.
Philippe RavaudClinical Epidemiology Unit, Hôtel-Dieu Hospital, Greater Paris University Hospital (AP-HP), Paris, France.
Raphaël PorcherClinical Epidemiology Unit, Hôtel-Dieu Hospital, Greater Paris University Hospital (AP-HP), Paris, France.
Délégation Paris 5 · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For oncology drugs that were approved by the US Food and Drug Administration (FDA) and required pharmacogenomic biomarker testing, we describe 1) the use of enrichment (biomarker-positive patients) and a randomized controlled design by pre-approval trials and 2) the treatment-by-biomarker interaction. From the 137 drugs included in the FDA table, we selected the 22 oncology drugs with required genetic testing in their labels. These drugs corresponded to 35 approvals supported by 80 clinical studies included in the FDA medical officer reviews of efficacy. For two thirds of approvals (24/35, 69%), all clinical studies were restricted to biomarker-positive patients (enriched). Among the 11 remaining approvals with at least one non-enriched trial, for five approvals, the non-enriched studies were non-randomized. The treatment-by-biomarker interaction was statistically significant for three approvals and missing for two. Among the six approvals with a non-enriched randomized controlled trial, three featured a statistically significant treatment-by-biomarker interaction (p < 0.10), for an enhanced treatment effect in the biomarker-positive subgroup. For two thirds of FDA approvals of anticancer agents, the requirement for predictive biomarker testing was based on clinical development restricted to biomarker-positive patients. We found only few cases with clinical evidence that biomarker-negative patients would not benefit from treatment.

Indexed as

Genetic MarkersAntineoplastic AgentsBiomarkers, PharmacologicalDrug ApprovalEvidence-Based MedicineGenetic TestingHumansNeoplasmsPharmacogeneticsPrecision MedicineRandomized Controlled Trials as TopicUnited StatesUnited States Food and Drug AdministrationAntineoplastic AgentsBiomarkers, PharmacologicalGenetic Markers

Identifiers

PMID28761069
PMCPMC5537292
OpenAlexW2737584688

What OpenQuestion holds

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LicenceCC BY
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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.