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Review
. 2011;16(6):811-9.
doi: 10.1634/theoncologist.2010-0258. Epub 2011 May 31.

Part 1: background, methodology, and clinical adoption of pharmacogenetics

Affiliations
Review

Part 1: background, methodology, and clinical adoption of pharmacogenetics

Maarten J Deenen et al. Oncologist. 2011.

Abstract

Equivalent drug doses may lead to wide interpatient variability with regard to drug response, reflected by differences in drug activity and normal tissue toxicity. A major factor responsible for this variability is variation among patients in their genetic constitution. Genetic polymorphism may affect the activity of proteins encoded, which in turn may lead to changes in the pharmacokinetic and pharmacodynamic behavior of a drug, observed as differences in drug transport, drug metabolism, and pharmacodynamic drug effects. Recent insights into the functional effect of polymorphism in genes that are involved in the pharmacokinetics and pharmacodynamics of anticancer drugs have provided opportunities for patient-tailored therapy in oncology. Individualized pharmacotherapy based on genotype will help to increase treatment efficacy while reducing unnecessary toxicity, especially of drugs characterized by a narrow therapeutic window, such as anticancer drugs. We provide a series of four reviews aimed at implementing pharmacogenetic-based drug and dose prescription in the daily clinical setting for the practicing oncologist. This first part in the series describes the functional impact of genetic polymorphism and provides a general background to and insight into possible clinical consequences of pharmacogenetic variability. It also discusses different methodologies for clinical pharmacogenetic studies and provides a concise overview about the different laboratory technologies for genetic mutation analysis that are currently widely applied. Subsequently, pharmacogenetic association studies in anticancer drug transport, phase I and II drug metabolism, and pharmacodynamic drug effects are discussed in the rest of the series. Opportunities for patient-tailored pharmacotherapy are highlighted.

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Conflict of interest statement

Disclosures

Maarten J. Deenen: None; Annemieke Cats: None; Jos H. Beijnen: None; Jan H.M. Schellens: Intellectual property rights/inventor/patent holder: development of oral taxanes; Consultant/advisory role: Merck, AstraZeneca, Roche; Research funding/contracted research: Roche, AstraZeneca; Other: PI of sponsored trials of Roche, Merck, AstraZeneca, Eisai, Pfizer, Bayer, Novartis, GlaxoSmithKline.

Section Editor Henk Verheul discloses an advisory relationship with Roche (honoraria paid to institution).

Reviewers “A” and “B” disclose no financial relationships.

The content of this article has been reviewed by independent peer reviewers to ensure that it is balanced, objective, and free from commercial bias. On the basis of disclosed information, all conflicts of interest have been resolved.

Figures

Figure 1.
Figure 1.
Possible sources for interindividual variability in drug response. Besides genetic polymorphism, various additional nongenetic factors may contribute to interindividual differences in drug response.
Figure 2.
Figure 2.
Effects of genetic polymorphism on the encoded protein. Dependent on its type and physical location, a genetic polymorphism may elicit changes to the primary amino acid sequence of a protein in various ways. Abbreviation: SNP, single nucleotide polymorphism.

References

    1. Brookes AJ. The essence of SNPs. Gene. 1999;234:177–186. - PubMed
    1. Sachidanandam R, Weissman D, Schmidt SC, et al. A map of human genome sequence variation containing 1.42 million single nucleotide polymorphisms. Nature. 2001;409:928–933. - PubMed
    1. Sebat J, Lakshmi B, Troge J, et al. Large-scale copy number polymorphism in the human genome. Science. 2004;305:525–528. - PubMed
    1. Nebert DW. Suggestions for the nomenclature of human alleles: Relevance to ecogenetics, pharmacogenetics and molecular epidemiology. Pharmacogenetics. 2000;10:279–290. - PubMed
    1. Sauna ZE, Kimchi-Sarfaty C, Ambudkar SV, et al. Silent polymorphisms speak: How they affect pharmacogenomics and the treatment of cancer. Cancer Res. 2007;67:9609–9612. - PubMed

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