Coding of DNA Samples and Data in the Pharmaceutical Industry: Current Practices and Future Directions—Perspective of the I-PWG

Implementing pharmacogenetics in clinical trials: considerations about current methodological, ethical, and regulatory challenges

INTRODUCTION

The implementation of pharmacogenetic analysis within clinical trials faces methodological, ethical, and regulatory challenges, as well as tackling the difficulty in obtaining actionable information with a sufficient level of evidence to enable its integration into routine clinical practice.

AREAS COVERED

We discuss the current status of pharmacogenetics integration in clinical trials, underscore the associated challenges, and make some suggestions on the aspects to address in any clinical trial including a pharmacogenetic evaluation. We conducted a literature review, thoroughly reviewed the applicable regulations and available guidelines, and assessed the application dossiers submitted for evaluation to the Ethics committee of Hospital La Paz (Madrid, Spain) to extract information related to inclusion of pharmacogenetics evaluations.

EXPERT OPINION

The integration of pharmacogenetics into clinical trials is becoming increasingly common. However, several regulatory, methodological and ethical aspects involved are insufficiently addressed. There is a need for specific and transparent guidelines that establish unified and compliant criteria for methodology, proper handling of samples in compliance with regulations, and the protection of data privacy and confidentiality. Participants should receive complete and appropriate information regarding the purpose, handling, storage, and transfer of their samples and data, and should have the right to decide about their processing.

Biobanks, Data Sharing, and the Drive for a Global Privacy Governance Framework

Biobanks are a key emerging biomedical research infrastructure. They manifest the turn towards greater global sharing of genomic and health-related data, which is considered by many to be an ethical and scientific imperative. Our collective interests lie in improving the health and welfare of individuals, communities, and populations; improving health and welfare requires access to, and use of, widely dispersed quality data. But sharing these individual and familial data requires in turn that due thought be given to the ethical and legal interests at stake. Most critically, data sharing must occur in an environment whereby privacy interests are safeguarded throughout the lifecycle of biobank initiatives, and regardless of the locations where the data are stored, to which they are sent, and where they are ultimately processed. In this article, I outline the complex dimensions of data privacy regulation that challenge data sharing within the biobanking context. I discuss how harmonization may be a remedy for the gaps and marked differences of approach in data privacy regulation. Finally, I encourage the development of foundational responsible data sharing principles set within an overarching governance framework that provides assurance that reasonable expectations of privacy will be met.

Four decades of modern pharmacogenomics: from promise to clinical utility. World PGX Summit 2011. Boston, USA, 26-27 April, 2011

The World PGX Summit was held in Boston and preceded by a 1-day workshop. The conference aimed at assessing the current 'state-of-the art' in advanced molecular profiling strategies for increased drug development success. The topics varied from regulatory policies, pharmaceutical case examples and vendor presentations on innovative technologies. The subject is obviously closely related to personalized medicine and it was interesting to hear the perspectives from healthcare providers and subscribers. It became clear during the meeting that we are on the verge of important changes in how pharmaceutical research and development operates but also how increased costs and high unmet medical needs require new models in which pharmacogenomics can play an important role.

Prospective-retrospective biomarker analysis for regulatory consideration: white paper from the industry pharmacogenomics working group

One approach to delivering cost-effective healthcare requires the identification of patients as individuals or subpopulations that are more likely to respond to an appropriate dose and/or schedule of a therapeutic agent, or as subpopulations that are less likely to develop an adverse event (i.e., personalized or stratified medicine). Biomarkers that identify therapeutically relevant variations in human biology are often only uncovered in the later stage of drug development. In this article, the Industry Pharmacogenomics Working Group provides, for regulatory consideration, its perspective on the rationale for the conduct of what is commonly referred to as the prospective-retrospective analysis (PRA) of biomarkers. Reflecting on published proposals and materials presented by the US FDA, a decision tree for generating robust scientific data from samples collected from an already conducted trial to allow PRA is presented. The primary utility of the PRA is to define a process that provides robust scientific evidence for decision-making in situations where it is not necessary, nor practical or ethical to conduct a new prospective clinical study.