Evidence map›Paper›PMID 22170007›Full record

SynthesisEuropean journal of clinical pharmacology2012

Meta-analysis of contribution of genetic polymorphisms in drug-metabolizing enzymes or transporters to axitinib pharmacokinetics.

Meghan Brennan, J Andrew Williams, Ying Chen, Michael Tortorici, Yazdi Pithavala, Yingxue Cathy Liu

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European journal of clinical pharmacology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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.

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

22 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Axitinib in the treatment of renal cell carcinoma: patient selection and perspectives.International journal of nephrology and renovascular disease · 2016
    Review
  13. Review
  14. Review
  15. Population pharmacokinetic analysis of axitinib in healthy volunteers.British journal of clinical pharmacology · 2014
    Article
  16. Review
  17. Clinical pharmacology of axitinib.Clinical pharmacokinetics · 2013
    Review
  18. Contribution of OATP1B1 and OATP1B3 to the disposition of sorafenib and sorafenib-glucuronide.Clinical cancer research : an official journal of the American Association for Cancer Research · 2013
    Article
  19. Article
  20. 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.

Meghan BrennanPfizer Research Center of Emphasis for DNA and Biofluids-Biobank, Groton, CT, USA.
J Andrew Williams
Ying Chen
Michael Tortorici
Yazdi Pithavala
Yingxue Cathy Liu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAxitinib, an orally administered inhibitor of vascular endothelial growth factor 1, 2 and 3, is primarily metabolized by cytochrome P450 (CYP) 3A4/5 but is also a substrate for CYP1A2, CYP2C19, UDP-glucuronosyltransferase (UGT)1A1 and the drug transporters P-glycoprotein (encoded by the ABCB1 gene) and OATP1B1 (encoded by SLC01B1). The potential contribution of polymorphisms in genes encoding these enzymes and transporters to axitinib pharmacokinetic variability was assessed.

methodsA fixed effects meta-analysis was performed using data pooled from 11 healthy volunteer clinical pharmacology trials to investigate the potential association between axitinib exposure and major polymorphisms in these genes following a 5-mg dose of axitinib.

resultsUp to 15 variant alleles were evaluated and up to 315 healthy volunteers per polymorphism were assayed. None of the polymorphisms analysed was a statistically significant predictor of axitinib pharmacokinetic variability. Amongst genotypes and inferred phenotypes, CYP2C19 genotype and the ABCB1 (G2677T/A) polymorphism were the closest to statistical significance in influencing axitinib pharmacokinetic variability after multiple-testing adjustment. However, no enzyme or transporter genotype/inferred phenotype contributed >5% to the overall pharmacokinetic variability of axitinib.

conclusionsNo statistically significant associations between the specific polymorphisms analysed and axitinib plasma exposure were observed, suggesting that genotype- or inferred phenotype-based adjustment of axitinib dose in individual subjects is not warranted.

Indexed as

Polymorphism, GeneticAngiogenesis InhibitorsAxitinibBiological TransportBiotransformationClinical Trials, Phase I as TopicCytochrome P-450 Enzyme SystemHumansImidazolesIndazolesIsoenzymesOrganic Anion TransportersReceptors, Vascular Endothelial Growth FactorAngiogenesis InhibitorsAxitinibCytochrome P-450 Enzyme SystemImidazolesIndazolesIsoenzymesOrganic Anion TransportersReceptors, Vascular Endothelial Growth Factor

Identifiers

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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.