| Literature DB >> 26715644 |
Maria Romina Girotti1, Gabriela Gremel1, Rebecca Lee1, Elena Galvani1, Dominic Rothwell2, Amaya Viros1, Amit Kumar Mandal1, Kok Haw Jonathan Lim1, Grazia Saturno1, Simon J Furney1, Franziska Baenke1, Malin Pedersen3, Jane Rogan4, Jacqueline Swan5, Matthew Smith1, Alberto Fusi4, Deemesh Oudit4, Nathalie Dhomen1, Ged Brady2, Paul Lorigan4, Caroline Dive2, Richard Marais6.
Abstract
UNLABELLED: Targeted therapies and immunotherapies have transformed melanoma care, extending median survival from ∼9 to over 25 months, but nevertheless most patients still die of their disease. The aim of precision medicine is to tailor care for individual patients and improve outcomes. To this end, we developed protocols to facilitate individualized treatment decisions for patients with advanced melanoma, analyzing 364 samples from 214 patients. Whole exome sequencing (WES) and targeted sequencing of circulating tumor DNA (ctDNA) allowed us to monitor responses to therapy and to identify and then follow mechanisms of resistance. WES of tumors revealed potential hypothesis-driven therapeutic strategies for BRAF wild-type and inhibitor-resistant BRAF-mutant tumors, which were then validated in patient-derived xenografts (PDX). We also developed circulating tumor cell-derived xenografts (CDX) as an alternative to PDXs when tumors were inaccessible or difficult to biopsy. Thus, we describe a powerful technology platform for precision medicine in patients with melanoma. SIGNIFICANCE: Although recent developments have revolutionized melanoma care, most patients still die of their disease. To improve melanoma outcomes further, we developed a powerful precision medicine platform to monitor patient responses and to identify and validate hypothesis-driven therapies for patients who do not respond, or who develop resistance to current treatments. ©2015 American Association for Cancer Research.Entities:
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Year: 2015 PMID: 26715644 DOI: 10.1158/2159-8290.CD-15-1336
Source DB: PubMed Journal: Cancer Discov ISSN: 2159-8274 Impact factor: 39.397