Evidence map›Paper›PMID 24136381›Full record

ReviewClinical pharmacology and therapeutics2014

Clinical implementation of germ line cancer pharmacogenetic variants during the next-generation sequencing era.

N K Gillis, J N Patel, F Innocenti

Abstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
13.5field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 61 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Precision medicine journey through omics approach.Journal of diabetes and metabolic disorders · 2022
    Review
  4. Article
  5. Article
  6. Review
  7. Pharmacogenetic and pharmacogenomic discovery strategies.Cancer drug resistance (Alhambra, Calif.) · 2019
    Review
  8. Germline variants in cancer therapy.Cancer drug resistance (Alhambra, Calif.) · 2019
    Review
  9. Review
  10. A NovelFrontiers in oncology · 2018
    Article
  11. Review
  12. Article
  13. Genotype-Guided Dosing Study of FOLFIRI plus Bevacizumab in Patients with Metastatic Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. 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

3 authors at 2 institutions in 1 country.

N K GillisDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, Center for Pharmacogenomics and Individualized Therapy, University of North Carolina, Chapel Hill, North Carolina, USA.
J N Patel1] Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, Center for Pharmacogenomics and Individualized Therapy, University of North Carolina, Chapel Hill, North Carolina, USA [2] Levine Cancer Institute, Carolinas HealthCare System, Charlotte, North Carolina, USA.
F Innocenti1] Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, Center for Pharmacogenomics and Individualized Therapy, University of North Carolina, Chapel Hill, North Carolina, USA [2] Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
University of North Carolina at Chapel Hill · USCarolinas Healthcare System · US

Funding

Genome-Wide molecular epidemiology of treatment outcome and cancer riskK07CA140390 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI INNOCENTI, FEDERICO · 2009 to 2013
$648k
NCI NIH HHS K07 CA140390
6 · The paper itself

Abstract

More than 100 medications approved by the US Food and Drug Administration include pharmacogenetic biomarkers in the drug label, many with cancer indications referencing germ line DNA variations. With the advent of next-generation sequencing (NGS) and its rapidly increasing uptake into cancer research and clinical practice, an enormous amount of data to inform documented gene-drug associations will be collected that must be exploited to optimize patient benefit. This review focuses on the implementation of germ line cancer pharmacogenetics in clinical practice. Specifically, it discusses the importance of germ line variation in cancer and the role of NGS in pharmacogenetic discovery and implementation. In the context of a scenario in which massive amounts of NGS-based genetic information will be increasingly available to health stakeholders, this review explores the ongoing debate regarding the threshold of evidence necessary for implementation, provides an overview of recommendations in cancer by professional organizations and regulatory bodies, and discusses limitations of current guidelines and strategies to improve third-party coverage.

Indexed as

BiomarkersCost-Benefit AnalysisEvidence-Based MedicineGovernment AgenciesHigh-Throughput Nucleotide SequencingHumansInsurance, HealthNeoplasms, Germ Cell and EmbryonalPharmacogeneticsBiomarkers

Identifiers

PMID24136381
PMCPMC4128332
OpenAlexW2161204192

What OpenQuestion holds

Textmetadata
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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.