Multicenter Feasibility Study of Tumor Molecular Profiling to Inform Therapeutic Decisions in Advanced Pediatric Solid Tumors
- 1 May 2016
- journal article
- research article
- Published by American Medical Association (AMA) in JAMA Oncology
- Vol. 2 (5), 608-615
- https://doi.org/10.1001/jamaoncol.2015.5689
Abstract
In many diseases, molecularly targeted therapies have improved outcomes and decreased treatment-related toxic effects. In oncology, examples such as ERBB2-positive breast cancer1 and EGFR-mutant lung cancer2 have led to excitement about the promise of precision cancer medicine. These and other similar treatment advances typically occurred after years of investigation during which (1) a genomic alteration was identified in a reasonable proportion of patients with a particular diagnosis; (2) the alteration was validated to be a central oncogenic event; (3) the activity of targeted therapy was studied in preclinical models and then in early-phase trials; and (4) clinical trials demonstrated activity of the targeted agent only in cancer subtypes with specific molecular alterations. The essential nature of most pathogenic variants has, therefore, been established only in the context of specific disease subsets. Nevertheless, some oncologists have adopted a precision medicine approach for their patients with recurrent or refractory cancers based on the premise that receipt of matched targeted therapy will have superior clinical activity, regardless of diagnosis or patient characteristics.This publication has 17 references indexed in Scilit:
- Cancer Genome LandscapesScience, 2013
- The genetic landscape of high-risk neuroblastomaNature Genetics, 2013
- Cutaneous Clear Cell SarcomaThe American Journal of Dermatopathology, 2012
- High-Throughput Detection of Actionable Genomic Alterations in Clinical Tumor Samples by Targeted, Massively Parallel SequencingCancer Discovery, 2012
- Primary Pulmonary Myxoid Sarcoma With EWSR1-CREB1 FusionThe American Journal of Surgical Pathology, 2011
- A method and server for predicting damaging missense mutationsNature Methods, 2010
- Profiling Critical Cancer Gene Mutations in Clinical Tumor SamplesPLOS ONE, 2009
- Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithmNature Protocols, 2009
- Trastuzumab plus Adjuvant Chemotherapy for Operable HER2-Positive Breast CancerThe New England Journal of Medicine, 2005
- EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib TherapyScience, 2004