Comparative pharmacogenomics of antiretroviral and cytotoxic treatments

Few genetic markers are used routinely to predict clinical effectiveness and toxic effects despite the fact that physicians and their patients are consistently confronted with this balance. Because one of the goals of pharmacogenomics is to identify individuals and target populations that might have adverse outcomes, pharmaceutical companies have been reluctant to use a strategy that might identify patients who are not eligible for a particular treatment. This view is changing because drug-discovery programmes and treatments that target specific pathways, are showing improvements in surrogate and survival endpoints. HIV and cancer are now regarded as chronic diseases, which commonly need life-long systemic treatment from the time of diagnosis. HIV and cancer medicine have used pharmacogenomics to some extent in clinical care. Common and classic features of pharmacogenomics that are related to both antiretroviral treatment and to cytotoxic treatment are discussed in this review, providing a framework for individual treatment of these diseases.

Pharmacogenomics and drug development

It is generally anticipated that pharmacogenomic information will have a large impact on drug development and will facilitate individualized drug treatment. However, there has been relatively little quantitative modeling to assess how pharmacogenomic information could be best utilized in clinical practice. Using a quantitative model, this review demonstrates that efficacy is increased and toxicity is reduced when a genetically-guided dose adjustment strategy is utilized in a clinical trial. However, there is limited information available regarding the genetic variables affecting the disposition or mechanism of action of most commonly used medications. These genetic factors must be identified to enable pharmacogenomic testing to be routinely used in the clinic. A recently described murine haplotype-based computational genetic analysis method provides one strategy for identifying genetic factors regulating the pharmacokinetics and pharmacodynamics of commonly used medications.

Pharmacogenomics and the drug discovery pipeline: when should it be implemented?

One of the key factors in developing improved medicines lies in understanding the molecular basis of the complex diseases we treat. Investigation of genetic associations with disease utilizing advances in linkage disequilibrium-based whole genome association strategies will provide novel targets for therapy and define relevant pathways contributing to disease pathogenesis. Genetic studies in conjunction with gene expression, proteomic, and metabonomic analyses provide a powerful tool to identify molecular subtypes of disease. Using these molecular data, pharmacogenomics has the potential to impact on the drug discovery and development process at many stages of the pipeline, contributing to both target identification and increased confidence in the therapeutic rationale. This is exemplified by the identified association of 5-lipoxygenase-activating protein (ALOX5AP/FLAP) with increased risk of myocardial infarction, and of the chemokine receptor 5 (CCR5) with HIV infection and therapy. Pharmacogenomics has already been used in oncology to demonstrate that molecular data facilitates assessment of disease heterogeneity, and thus identification of molecular markers of response to drugs such as imatinib mesylate (Gleevec) and trastuzumab (Herceptin). Knowledge of genetic variation in a target allows early assessment of the clinical significance of polymorphism through the appropriate design of preclinical studies and use of relevant animal models. A focussed pharmacogenomic strategy at the preclinical phase of drug development will produce data to inform the pharmacogenomic plan for exploratory and full development of compounds. Opportunities post-approval show the value of large well-characterized data sets for a systematic assessment of the contribution of genetic determinants to adverse drug reactions and efficacy. The availability of genomic samples in large phase IV trials also provides a valuable resource for further understanding the molecular basis of disease heterogeneity, providing data that feeds back into the drug discovery process in target identification and validation for the next generation of improved medicines.

HIV resistance testing in the USA – a model for the application of pharmacogenomics in the clinical setting

Although there is debate about how and when the medical community will readily adopt pharmacogenomics into clinical practice, HIV genotyping has become an integral part of AIDS patient management in the USA since 1996. Genotyping for HIV-1 drug resistance serves as a paradigm for the way pharmacogenomics is likely to be introduced into patient care. This review discusses the unique role that HIV-1 genotype testing plays in identifying resistance in patients and how that information is used to modify therapy selection and impact the progression of disease [1] . In addition, the important issues relating to reimbursement and the cost-effectiveness of genotyping are also discussed.