John Wayne Cancer Institute Joins Precision Oncology Alliance

October 18, 2017

Precision-medicine company Caris Life Sciences has announced that the John Wayne Cancer Institute has joined its Precision Oncology Alliance (POA). The John Wayne Cancer Institute is the 18th institution to join the alliance, which was established to study the appropriate use of tumor profiling and develop standards of care for molecular testing in oncology.

As a member of the POA, the John Wayne Cancer Institute at Providence Saint John's Health Center in Santa Monica, CA, will actively participate in the development of standards of care and best practices for integrating and utilizing molecular profiling in oncology practice, while also striving to optimize the adoption of and patient access to personalized medicine in clinical settings. The institution will leverage Caris' genomic profiling plus (CGP+) tumor profiling service, Caris Molecular Intelligence, to enable the practice of precision medicine by identifying therapy options and clinical trial opportunities based on the unique molecular characteristics of a patient's tumor. 

"The John Wayne Cancer Institute, whose namesake died of stomach cancer, is a major participant in cancer research and a leader in training the next generation of oncologists," said John Marshall, M.D., Director of the Otto J. Ruesch Center for the Cure of Gastrointestinal Cancer at Georgetown Lombardi Comprehensive Cancer Center and Chief of the Division of Hematology-Oncology at MedStar Georgetown University Hospital in Washington, D.C., and Chairman of the POA Executive Committee. "Their involvement in our POA will add considerable insight, knowledge and skills to our goal of advancing cancer patient care via precision oncology."

Caris Molecular Intelligence assesses DNA, RNA and proteins to reveal a molecular blueprint to guide more precise and individualized treatment decisions. Based on the unique molecular characteristics of an individual patient's cancer, the results help inform treatment decisions by identifying therapies that have the potential to be most effective and to rule out those that are less likely to provide clinical benefit.