Can pharmacogenomics make a difference in drug development?

Pharmacogenomics in early-phase clinical development

Pharmacogenomics (PGx) offers the promise of utilizing genetic fingerprints to predict individual responses to drugs in terms of safety, efficacy and pharmacokinetics. Early-phase clinical trial PGx applications can identify human genome variations that are meaningful to study design, selection of participants, allocation of resources and clinical research ethics. Results can inform later-phase study design and pipeline developmental decisions. Nevertheless, our review of the clinicaltrials.gov database demonstrates that PGx is rarely used by drug developers. Of the total 323 trials that included PGx as an outcome, 80% have been conducted by academic institutions after initial regulatory approval. Barriers for the application of PGx are discussed. We propose a framework for the role of PGx in early-phase drug development and recommend PGx be universally considered in study design, result interpretation and hypothesis generation for later-phase studies, but PGx results from underpowered studies should not be used by themselves to terminate drug-development programs.

Biomarkers, validation and pharmacokinetic-pharmacodynamic modelling

Four elements are crucial to successful pharmacokinetic-pharmacodynamic (PK/PD) modelling and simulation for efficient and effective rational drug development: (i) mechanism-based biomarker selection and correlation to clinical endpoints; (ii) quantification of drug and/or metabolites in biological fluids under good laboratory practices (GLP); (iii) GLP-like biomarker method validation and measurements and; (iv) mechanism-based PK/PD modelling and validation. Biomarkers can provide great predictive value in early drug development if they reflect the mechanism of action for the intervention even if they do not become surrogate endpoints. PK/PD modelling and simulation can play a critical role in this process. Data from genomic and proteomics differentiating healthy versus disease states lead to biomarker discovery and identification. Multiple genes control complex diseases via hosts of gene products in biometabolic pathways and cell/organ signal transduction. Pilot exploratory studies should be conducted to identify pivotal biomarkers to be used for predictive clinical assessment of disease progression and the effect of drug intervention. Most biomarkers are endogenous macromolecules, which could be measured in biological fluids. Many exist in heterogeneous forms with varying activity and immunoreactivity, posting challenges for bioanalysis. Reliable and selective assays could be validated under a GLP-like environment for quantitative methods. While the need for consistent reference standards and quality control monitoring during sample analysis for biomarker assays are similar to that of drug molecules, many biomarkers have special requirements for sample collection that demand a well coordinated team management. Bioanalytical methods should be validated to meet study objectives at various drug development stages, and possess adequate performance to quantify biochemical responses specific to the target disease progression and drug intervention. Protocol design to produce sufficient data for PK/PD modelling would be more complex than that of PK. Knowledge of mechanism from discovery and preclinical studies are helpful for planning clinical study designs in cascade, sequential, crossover or replicate mode. The appropriate combination of biomarker identification and selection, bioanalytical methods development and validation for drugs and biomarkers, and mechanism-based PK/PD models for fitting data and predicting future clinical endpoints/outcomes provide powerful insights and guidance for effective and efficient rational drug development, toward safe and efficacious medicine for individual patients.

Pharmacogenomics of psychiatric drug treatment

It is the goal of pharmacogenomics in psychiatry to establish predictive relationships between polymorphisms of candidate genes and therapeutic response to drug treatment. Polymorphisms of candidate genes related to drug mechanisms and pathophysiology of illness and defined clinical phenotype are the foundations for pharmacogenomic studies. Pharmacogenomic studies of antipsychotic response have focused on polymorphisms of genes for dopamine and serotonin receptors with most positive results reported for polymorphisms of genes of the 5HT2a and 5HT2c serotonin receptor subtypes. Although the goal of establishing individualized medicine predicated on an individual patient's genetic code has yet to be achieved, the fundamentals are now in place for second-generation investigation and more application to health care.

Biomarkers in drug discovery and development: from target identification through drug marketing

Biomarkers of disease play an important role in medicine and have begun to assume a greater role in drug discovery and development. The challenge for biomarkers is to allow earlier, more robust drug safety and efficacy measurements. Their role in drug development will continue to grow for the foreseeable future. For biomarkers to assume their rightful role, greater understanding of the mechanism of disease progression and therapeutic intervention is needed. In addition, greater understanding of the requirements for biomarker selection and validation, biomarker assay method validation and application, and clinical endpoint validation and application is needed. Biomarkers need to be taken into account while the therapeutic target is still being identified and the concept is being formulated. Biomarkers need to be incorporated into a continuous cycle that takes what is learned from the discovery and development of one series of biomarkers and translates it into the next series of biomarkers. Optimum biomarker development and application will require a team approach because of the multifaceted nature of biomarker selection, validation, and application, using such techniques as pharmacoepidemiology, pharmacogenetics, pharmacogenomics, and functional proteomics; bioanalytical method development and validation; disease process and therapeutic intervention assessments; and pharmacokinetic/pharmacodynamic modeling and simulation to improve and refine drug development. The potential for biomarkers in medicine and drug development will be limited by the least effective component of the processes. The team approach will minimize the potential for the least effective component to be fatal to the rest of the process. As scientific/regulatory foundations for biomarkers in medicine and drug development begin to be established, successes and applications will need to be effectively communicated with all of the stakeholders, including not only internal and external drug developers and regulators but also the medical community, to ensure that biomarkers are totally integrated into drug discovery and development as well as the practice of medicine.

Insights into pharmacogenomics and its impact upon immunosuppressive therapy

The advent of the genomic era has brought about several new fields of study, one of them being pharmacogenomics, which seeks to link drug treatment (pharmaco-) with the individual's genetic make-up (genomics). Pharmacogenomics holds many promises for improved treatment of a large variety of medical conditions, including immunosuppression for organ transplantation and autoimmune disease. Many of these promises have, however, not yet been fulfilled. In this brief overview of the subject, we attempt to provide insights into the evolving field of pharmacogenomics and discuss some of its potential benefits and promises, technological tools used by pharmacogenomics, the reasons for delays in breakthroughs in the field, and the relevance of pharmacogenornics to immunosuppression.

Exploiting human genetic variation in drug discovery and development

'The right drug for the right patient at the right time'Is this a realistic goal for today's pharmaceutical industry and tomorrow's medical practitioner? Or merely an over-simplistic refrain that can only ever be an unfulfilled dream? Here we discuss the reality behind the dream and illustrate how the analysis of genetic variation is a complex science that has the capacity to make significant contributions to drug discovery and development strategies. An understanding of the impact of human variation must be a central consideration in the future practice of pharmaceutical R&D.

A SNPshot: pharmacogenetics and the future of drug therapy

Pharmacogenetics holds great promise for the optimization of new drug development and the individualization of clinical therapeutics in the 21st century. In this brief review, we trace the historical roots of pharmacogenetics, discuss its rapidly evolving processes and paradigms, and look towards future applications of pharmacogenetics in enhancing the efficiency of the drug development pipeline and in improving patient care.

New advances in pharmacogenomics

In the years to come, pharmacogenomics will make an impact on the development of new drugs. Numerous publications have shown that gene polymorphism can influence drug toxicity and/or efficacy. In order to improve current applications of pharmacogenomics, some technical limitations regarding marker generation, genotyping and biostatistical analysis are being overcome.

Pharmacogenetics of antipsychotic treatment: lessons learned from clozapine

The reintroduction of clozapine, the prototype of atypical antipsychotics, in the late 1980s has led to significant advances in the pharmacological management of schizophrenia. Since then, there has been a rapid development of novel "atypical" antipsychotic agents that have been pharmacologically modeled, to a certain extent, after their predecessor clozapine. As with all antipsychotics, there is variability among individuals in their response to these "atypical" drugs. Pharmacogenetics can provide a foundation for understanding this interindividual variability in antipsychotic response. This review first provides a rationale for the pharmacogenetic investigation of this variable trait. Studies of pharmacokinetic and pharmacodynamic factors of antipsychotic therapy are considered in the development of this rationale. Next, the molecular genetic techniques used to study this interindividual variation in response are described. This is followed by a review and discussion of the published studies examining genetic factors involved in clozapine response. From this, several recommendations for future pharmacogenetic investigations of antipsychotic response are proposed. Although still in its early stages, psychiatric pharmacogenetics should provide a basis for individualized pharmacotherapy of schizophrenia, and may also lead to the development of newer, more efficacious antipsychotic agents.