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Improving Cancer Diagnosis and Care

Clinical Application of Computational Methods in Precision Oncology: Proceedings of a Workshop

; Editors: Sharyl J. Nass, Rapporteur, Margie Patlak, Rapporteur, and Emily Zevon, Rapporteur.

Washington (DC): National Academies Press (US); .
ISBN-13: 978-0-309-49081-8ISBN-10: 0-309-49081-2

A hallmark of high-quality cancer care is the delivery of the right treatment to the right patient at the right time. Precision oncology therapies, which target specific genetic changes in a patient’s cancer, are changing the nature of cancer treatment by allowing clinicians to select therapies that are most likely to benefit individual patients. In current clinical practice, oncologists are increasingly formulating cancer treatment plans using results from complex laboratory and imaging tests that characterize the molecular underpinnings of an individual patient’s cancer. These molecular fingerprints can be quite complex and heterogeneous, even within a single patient. To enable these molecular tumor characterizations to effectively and safely inform cancer care, the cancer community is working to develop and validate multiparameter omics tests and imaging tests as well as software and computational methods for interpretation of the resulting datasets. To examine opportunities to improve cancer diagnosis and care in the new precision oncology era, the National Cancer Policy Forum developed a two-workshop series. The first workshop focused on patient access to expertise and technologies in oncologic imaging and pathology and was held in February 2018. The second workshop, conducted in collaboration with the Board on Mathematical Sciences and Analytics, was held in October 2018 to examine the use of multidimensional data derived from patients with cancer, and the computational methods that analyze these data to inform cancer treatment decisions. This publication summarizes the presentations and discussions from the second workshop.

This activity was supported by Contract No. 200-2011-38807 (Task Order No. 75D30118F00071) and Contract No. HHSN263201800029I (Task Order No. HHSN26300008) with the Centers for Disease Control and Prevention and the National Cancer Institute/National Institutes of Health, respectively, and by the American Association for Cancer Research, American Cancer Society, American College of Radiology, American Society of Clinical Oncology, Association of American Cancer Institutes, Association of Community Cancer Centers, Bristol-Myers Squibb, Cancer Support Community, CEO Roundtable on Cancer, Flatiron Health, Helsinn Therapeutics (U.S.), Inc., LIVESTRONG Foundation, Merck, National Comprehensive Cancer Network, Novartis Oncology, Oncology Nursing Society, and Pfizer Inc. Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project.

Suggested citation:

National Academies of Sciences, Engineering, and Medicine. 2019. Improving cancer diagnosis and care: Clinical application of computational methods in precision oncology: Proceedings of a workshop. Washington, DC: The National Academies Press. doi: https://doi.org/10.17226/25404.

Digital Object Identifier: https://doi.org/10.17226/25404

Additional copies of this publication are available from the National Academies Press, 500 Fifth Street, NW, Keck 360, Washington, DC 20001; (800) 624-6242 or (202) 334-3313; http://www.nap.edu.

Printed in the United States of America

Copyright 2019 by the National Academy of Sciences. All rights reserved.
Bookshelf ID: NBK543054PMID: 31386317DOI: 10.17226/25404

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