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.
1 Front Matter; 2 Summary; 3 1 Introduction; 4 2 Omics-Based Clinical Discovery: Science, Technology, and Applications; 5 3 Best Practices for Omics-Based Test Validation Prior to Use for Patient Management Decisions in a Clinical Trial Setting; 6 4 Evaluation of Omics-Based Tests for Clinical Utility and Use; 7 5 Responsible Parties; 8 6 Lessons from the Case Studies; 9 Appendix A: Case Studies; 10 Appendix B: Gene ExpressionBased Tests Developed at Duke University and Used in Clinical Trials; 11 Appendix C: Introduction to Biomarkers; 12 Appendix D: Reporting Guidelines; 13 Appendix E: Committee Member and Staff Biographies; 14 Appendix F: Information Gathering Sessionsand Speakers; 15 Acronyms and Abbreviations; 16 Glossary
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