Title | Personalized and Cancer Models to Guide Precision Medicine. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Pauli C, Hopkins BD, Prandi D, Shaw R, Fedrizzi T, Sboner A, Sailer V, Augello M, Puca L, Rosati R, McNary TJ, Churakova Y, Cheung C, Triscott J, Pisapia D, Rao R, Mosquera JMiguel, Robinson B, Faltas BM, Emerling BE, Gadi VK, Bernard B, Elemento O, Beltran H, Demichelis F, Kemp CJ, Grandori C, Cantley LC, Rubin MA |
Journal | Cancer Discov |
Volume | 7 |
Issue | 5 |
Pagination | 462-477 |
Date Published | 2017 05 |
ISSN | 2159-8290 |
Keywords | Animals, Drug Screening Assays, Antitumor, Humans, Mice, Molecular Targeted Therapy, Neoplasms, Organoids, Precision Medicine, Whole Exome Sequencing, Xenograft Model Antitumor Assays |
Abstract | Precision medicine is an approach that takes into account the influence of individuals' genes, environment, and lifestyle exposures to tailor interventions. Here, we describe the development of a robust precision cancer care platform that integrates whole-exome sequencing with a living biobank that enables high-throughput drug screens on patient-derived tumor organoids. To date, 56 tumor-derived organoid cultures and 19 patient-derived xenograft (PDX) models have been established from the 769 patients enrolled in an Institutional Review Board-approved clinical trial. Because genomics alone was insufficient to identify therapeutic options for the majority of patients with advanced disease, we used high-throughput drug screening to discover effective treatment strategies. Analysis of tumor-derived cells from four cases, two uterine malignancies and two colon cancers, identified effective drugs and drug combinations that were subsequently validated using 3-D cultures and PDX models. This platform thereby promotes the discovery of novel therapeutic approaches that can be assessed in clinical trials and provides personalized therapeutic options for individual patients where standard clinical options have been exhausted. Integration of genomic data with drug screening from personalized and cancer models guides precision cancer care and fuels next-generation research. . |
DOI | 10.1158/2159-8290.CD-16-1154 |
Alternate Journal | Cancer Discov |
PubMed ID | 28331002 |
PubMed Central ID | PMC5413423 |
Grant List | R01 GM041890 / GM / NIGMS NIH HHS / United States U54 CA132381 / CA / NCI NIH HHS / United States R35 CA197588 / CA / NCI NIH HHS / United States U01 CA176303 / CA / NCI NIH HHS / United States R01 CA116337 / CA / NCI NIH HHS / United States U01 CA111275 / CA / NCI NIH HHS / United States |