Evolution of Translational Omics: Lessons Learned and the Path Forward

Review
Washington (DC): National Academies Press (US); 2012 Mar 23.

Excerpt

Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.

Publication types

  • Review

Grants and funding

This study was supported by Contract Nos. HHSN261200900003C (National Cancer Institute); HHSF223201010692P and HHSF22301018T (Food and Drug Administration); and 200-2011-38807 and 200-2005-13434 (Centers for Disease Control and Prevention). This study was also supported by the U.S. Department of Veterans Affairs, the American Society for Clinical Pathology, and the College of American Pathologists. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the organizations or agencies that provided support for this project.