Evidence map›Paper›PMID 16509759›Full record

ReviewClinical pharmacokinetics2006

Genetic polymorphisms of drug-metabolising enzymes and drug transporters in the chemotherapeutic treatment of cancer.

Tessa M Bosch, Irma Meijerman, Jos H Beijnen, Jan H M Schellens

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical pharmacokinetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
9.6field-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

54 citing papers in PubMed, 167 citations in OpenAlex.

  1. Duloxetine improves oxaliplatin-induced neuropathy in patients with colorectal cancer: an open-label pilot study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2012
    Trial
  2. Review
  3. Review
  4. Article
  5. Cellular and molecular aspects of drug resistance in cancers.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024
    Review
  6. Review
  7. Article
  8. Designing cytochrome P450 enzymes for use in cancer gene therapy.Frontiers in bioengineering and biotechnology · 2024
    Review
  9. Review
  10. Article
  11. Frontiers in oncology · 2021
    Article
  12. Article
  13. Review
  14. Article
  15. Personalised Medicine: The Odyssey from Hope to Practice.Journal of personalized medicine · 2018
    Review
  16. Observational
  17. Article
  18. Oncotarget · 2017
    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

4 authors at 3 institutions in 1 country.

Tessa M BoschDepartment of Pharmacy & Pharmacology, The Netherlands Cancer Institute/Slotervaart Hospital, Amsterdam, The Netherlands. aptbo@slz.nl
Irma Meijerman
Jos H Beijnen
Jan H M Schellens
The Netherlands Cancer Institute · NLSlotervaartziekenhuis · NLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is wide variability in the response of individuals to standard doses of drug therapy. This is an important problem in clinical practice, where it can lead to therapeutic failures or adverse drug reactions. Polymorphisms in genes coding for metabolising enzymes and drug transporters can affect drug efficacy and toxicity. Pharmacogenetics aims to identify individuals predisposed to a high risk of toxicity and low response from standard doses of anti-cancer drugs. This review focuses on the clinical significance of polymorphisms in drug-metabolising enzymes (cytochrome P450 [CYP] 2C8, CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5, dihydropyrimidine dehydrogenase, uridine diphosphate glucuronosyltransferase [UGT] 1A1, glutathione S-transferase, sulfotransferase [SULT] 1A1, N-acetyltransferase [NAT], thiopurine methyltransferase [TPMT]) and drug transporters (P-glycoprotein [multidrug resistance 1], multidrug resistance protein 2 [MRP2], breast cancer resistance protein [BCRP]) in influencing efficacy and toxicity of chemotherapy. The most important example to demonstrate the influence of pharmacogenetics on anti-cancer therapy is TPMT. A decreased activity of TPMT, caused by genetic polymorphisms in the TPMT gene, causes severe toxicity with mercaptopurine. Dosage reduction is necessary for patients with heterozygous or homozygous mutation in this gene. Other polymorphisms showing the influence of pharmacogenetics in the chemotherapeutic treatment of cancer are discussed, such as UGT1A1*28. This polymorphism is associated with an increase in toxicity with irinotecan. Also, polymorphisms in the DPYD gene show a relation with fluorouracil-related toxicity; however, in most cases no clear association has been found for polymorphisms in drug-metabolising enzymes and drug transporters, and pharmacokinetics or pharmacodynamics of anti-cancer drugs. The studies discussed evaluate different regimens and tumour types and show that polymorphisms can have different, sometimes even contradictory, pharmacokinetic and pharmacodynamic effects in different tumours in response to different drugs. The clinical application of pharmacogenetics in cancer treatment will therefore require more detailed information of the different polymorphisms in drug-metabolising enzymes and drug transporters. Larger studies, in different ethnic populations, and extended with haplotype and linkage disequilibrium analysis, will be necessary for each anti-cancer drug separately.

Indexed as

AnimalsAntineoplastic AgentsCarrier ProteinsCytochrome P-450 Enzyme SystemDihydrouracil Dehydrogenase (NADP)GlucuronosyltransferaseGlutathione TransferaseHumansMethyltransferasesMixed Function OxygenasesNeoplasmsPharmaceutical PreparationsSulfotransferasesAntineoplastic AgentsCarrier ProteinsCytochrome P-450 Enzyme SystemDihydrouracil Dehydrogenase (NADP)GlucuronosyltransferaseGlutathione TransferaseMethyltransferasesMixed Function OxygenasesPharmaceutical PreparationsSulfotransferasesthiopurine methyltransferase

Identifiers

PMID16509759
OpenAlexW2011628325

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.