Mutational testing has moved to the forefront as an integral component in the management of patients with non-small cell lung cancer (NSCLC). Currently 3 targeted therapies (erlotinib, afatinib, and crizotinib) are approved by the FDA to treat patients with specific genetic abnormalities in NSCLC. As mutational screening expands to include a greater number of genes, the results will become more difficult to interpret, particularly if mutations are found in multiple genes or genes that are not actionable at the time of testing. This case report summarizes the diagnosis and treatment of a patient with NSCLC that harbored multiple potentially targetable driver mutations. It also discusses the current NCCN Clinical Practice Guidelines in Oncology for mutational testing in NSCLC and the inherent difficulties with interpreting mutational results when multiple mutations are found in a single gene or across multiple genes.
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Philip E. Lammers, Christine M. Lovly, and Leora Horn
Alan P. Venook, Maria E. Arcila, Al B. Benson III, Donald A. Berry, David Ross Camidge, Robert W. Carlson, Toni K. Choueiri, Valerie Guild, Gregory P. Kalemkerian, Razelle Kurzrock, Christine M. Lovly, Amy E. McKee, Robert J. Morgan, Anthony J. Olszanski, Mary W. Redman, Vered Stearns, Joan McClure, and Marian L. Birkeland
Defining treatment-susceptible or -resistant populations of patients with cancer through the use of genetically defined biomarkers has revolutionized cancer care in recent years for some disease/patient groups. Research continues to show that histologically defined diseases are diverse in their expression of unique mutations or other genetic alterations, however, which presents opportunities for the development of personalized cancer treatments, but increased difficulty in testing these therapies, because potential patient populations are divided into ever smaller numbers. To address some of the growing challenges in biomarker development and clinical trial design, NCCN assembled a group of experts across specialties and solid tumor disease types to begin to define the problems and to consider alternate ways of designing clinical trials in the era of multiple biomarkers and targeted therapies. Results from that discussion are presented, focusing on issues of clinical trial design from the perspective of statisticians, clinical researchers, regulators, pathologists, and information developers.
