Evolution of Translational Omics

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. Table of Contents Front Matter Summary 1 Introduction 2 Omics-Based Clinical Discovery: Science, Technology, and Applications 3 Best Practices for Omics-Based Test Validation Prior to Use for Patient Management Decisions in a Clinical Trial Setting 4 Evaluation of Omics-Based Tests for Clinical Utility and Use 5 Responsible Parties 6 Lessons from the Case Studies Appendix A: Case Studies Appendix B: Gene ExpressionBased Tests Developed at Duke University and Used in Clinical Trials Appendix C: Introduction to Biomarkers Appendix D: Reporting Guidelines Appendix E: Committee Member and Staff Biographies Appendix F: Information Gathering Sessionsand Speakers Acronyms and Abbreviations Glossary