In February 2014, the Institute of Medicine’s Roundtable on Translating Genomic-Based Research for Health published a report on its workshop, ‘‘Refining Processes for the Co-Development of Genome-Based Therapeutics and Companion Diagnostic Tests.’’ This workshop examined challenges and potential solutions for the codevelopment of targeted therapeutics and companion molecular tests for the prediction of drug response. With a desire to accelerate solutions, key stakeholders, including laboratory and medical professional societies, proposed solutions to resolve the concerns raised about codevelopment of companion diagnostic tests and therapies ahead of the meeting. Workshop speakers were given the proffered solutions before the meeting and were directed to comment on (1) whether the proposed solutions address the problems described, (2) whether there are other solutions to propose, and (3) what steps could be taken to effectively implement the proposed solutions. Genomic data can be used to identify new drug targets for both common and rare diseases, can predict which patients are likely to respond to a specific treatment, and have the potential to significantly reduce the cost of clinical trials. Given the costs involved in drug development, strategies for creating efficiencies in the development processes are critical to the health of the industry, and, more important, in accelerating the delivery of interventions to the people who need them. Some authors have postulated that adoption of genomics-based approaches may in fact create some efficiencies. Recently, the expectation of such benefits has led to the development and approval of several targeted therapeutics. A key component of each of these new drug approvals is the ability to identify the population who will benefit from treatment, which largely hinges on codevelopment. The codevelopment process has led to alterations in the way that some drugs are developed, resulting in close collaboration between pharmaceutical and diagnostic companies. The Institute of Medicine’s Roundtable on Translating Genomic-Based Research for Health workshop examined challenges and potential solutions for the codevelopment of targeted therapeutics and companion molecular tests for the prediction of drug response. The Roundtable provides a forum for diverse stakeholders to present approaches for assessing genomes and clinical use. The meeting compared and contrasted processes for evaluation evidence for different clinical indications and across stakeholders to identify key challenges and elicit pragmatic approaches to facilitate the effective translation of genomics into the clinic by improving evidence-based policy development. The speakers addressed processes used to identify studies and data. They discussed selection criteria for tests/variants for full evidence review and assessment, how to assess data and synthesize it to form conclusions, how to present the results of evidence review and evaluation to policymakers, how to determine whether clinical action is recommended or taken for specific genomic variants, and how to define actionability. The speakers and audience debated the primary goal of determining the clinical utility and cost-benefit ratio of predictive genetic testing in order to ensure that this technology is used in an evidence-based fashion. The workshop covered reimbursement, including how to evaluate genome or multigene panel sequencing. Discussion included examining criteria for coverage and the extent to which information reported in the electronic health record affects coverage decisions. A section on guideline development evaluated nextgeneration sequencing. Speakers discussed how to use genetics and genomics to improve the care of patients through the promotion and implementation of personalized medicine. A focus on patient care and decision-making considered patient preferences and understanding about what tests are done and what information is disclosed, and how well patients understand discussions about genomic testing. Investigators discussed pharmacogenomics in diverse populations, and decision modeling to inform research prioritization and stakeholder decision-making (including the evaluation of clinical, economic, and personal utility of whole genome sequencing). This led to a discussion of ideas and policy to initiate and educate healthcare providers, patients, and researchers. Collectively, the goals identified by various speakers throughout the meeting included the following (National Research Council 2014):
Search from 250 M+ research papersSearch from 250 M+ research papers
Open Access
Feb 1, 2021
Tommy H T Chan + 3