Precision oncology decision support: Current approaches and strategies for the future

Katherine C. Kurnit, Ecaterina E. Ileana Dumbrava, Beate Litzenburger, Yekaterina B. Khotskaya, Amber M. Johnson, Timothy A. Yap, Jordi Rodon, Jia Zeng, Md Abu Shufean, Ann M. Bailey, Nora S. Sanchez, Vijaykumar Holla, John Mendelsohn, Kenna Mills Shaw, Elmer V. Bernstam, Gordon B. Mills, Funda Meric-Bernstam

    Research output: Contribution to journalReview articlepeer-review

    17 Scopus citations

    Abstract

    With the increasing availability of genomics, routine analysis of advanced cancers is now feasible. Treatment selection is frequently guided by the molecular characteristics of a patient's tumor, and an increasing number of trials are genomically selected. Furthermore, multiple studies have demonstrated the benefit of therapies that are chosen based upon the molecular profile of a tumor. However, the rapid evolution of genomic testing platforms and emergence of new technologies make interpreting molecular testing reports more challenging. More sophisticated precision oncology decision support services are essential. This review outlines existing tools available for health care providers and precision oncology teams and highlights strategies for optimizing decision support. Specific attention is given to the assays currently available for molecular testing, as well as considerations for interpreting alteration information. This article also discusses strategies for identifying and matching patients to clinical trials, current challenges, and proposals for future development of precision oncology decision support.

    Original languageEnglish (US)
    Pages (from-to)2719-2731
    Number of pages13
    JournalClinical Cancer Research
    Volume24
    Issue number12
    DOIs
    StatePublished - Jun 15 2018

    ASJC Scopus subject areas

    • Oncology
    • Cancer Research

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