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Precision Oncology Decision Support: Current Approaches and Strategies for the Future

Authors :
Ecaterina Ileana Dumbrava
Elmer V. Bernstam
Gordon B. Mills
Amber Johnson
Jordi Rodon
John Mendelsohn
Ann Marie Bailey
Katherine C. Kurnit
Yekaterina B. Khotskaya
Abu Shufean
Kenna R. Mills Shaw
Vijaykumar Holla
Timothy A. Yap
Beate C. Litzenburger
Jia Zeng
Nora S. Sanchez
Funda Meric-Bernstam
Source :
Clinical cancer research : an official journal of the American Association for Cancer Research. 24(12)
Publication Year :
2017

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. Clin Cancer Res; 24(12); 2719–31. ©2018 AACR.

Details

ISSN :
15573265
Volume :
24
Issue :
12
Database :
OpenAIRE
Journal :
Clinical cancer research : an official journal of the American Association for Cancer Research
Accession number :
edsair.doi.dedup.....f385f67479794139abc2ff1148797546