Implementing Genome-Driven Oncology

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Yan Guo Assistant Professor Department of Cancer Biology Vanderbilt University USA.
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Implementing Genome-Driven Oncology David M. Hyman, Barry S. Taylor, José Baselga  Cell  Volume 168, Issue 4, Pages 584-599 (February 2017) DOI: 10.1016/j.cell.2016.12.015 Copyright © 2017 Terms and Conditions

Figure 1 Druggable Alterations in Oncology Today and in the Near Future The percent of patients by cancer type harboring a biomarker that, at present, guides the use of either FDA-approved or standard-of-care therapies (open circles) compared to the fraction of patients in the same tumor type harboring a genomic alteration with compelling clinical evidence that it predicts response to a drug but neither the genomic biomarker nor the drug are standard-of-care yet in that indication represented by an arrow. Cell 2017 168, 584-599DOI: (10.1016/j.cell.2016.12.015) Copyright © 2017 Terms and Conditions

Figure 2 Approaches to Novel Target Validation Discovery of a novel target is traditionally followed by biologic validation before proceeding with clinical credentialing. This “monogenic” low-throughput process involves evaluation of one genomic alteration at a time. Next-generation sequencing at the point of care now routinely identifies novel genomic alterations in patients who are in need of new treatment strategies and cannot wait for initial biologic validation. In a “polygenic” high-throughput model, novel genomic alterations observed in patients undergo an initial prequalification using a computational framework that considers allelic recurrence, paralogy, structure, expression, and gene dosage to evaluate the likelihood of clinical relevance. Patients whose tumors harbor qualifying alterations that are identified as potentially activating can then be enrolled in genome-driven clinical trials and the responses observed, potentially providing initial clinical credentialing before biologic characterization. In this model, clinical studies become platforms for exploring the functional consequences of novel genomic alterations detected in the same patient populations. Cell 2017 168, 584-599DOI: (10.1016/j.cell.2016.12.015) Copyright © 2017 Terms and Conditions

Figure 3 The Hallmarks of a Precision-Oncology Study Shown are multiple facets of a modern oncology trial that not only refines a biomarker hypothesis in a scientifically principled manner but also can serve as an engine to drive new scientific discoveries. The hallmarks of a modern precision-oncology study include four primary scientific objectives: identification of the target, confirmation of target inhibition, biologic credentialing of the target, and description of the mechanisms underlying acquired resistance. Collection and analysis of biospecimens should be organized around, and driven by, these key objectives. Cell 2017 168, 584-599DOI: (10.1016/j.cell.2016.12.015) Copyright © 2017 Terms and Conditions