Patient-derived ovarian cancer organoids mimic clinical response and exhibit heterogeneous inter- and intrapatient drug responses — Chris J. de Witte (2019) | RDL Network
Patient-derived ovarian cancer organoids mimic clinical response and exhibit heterogeneous inter- and intrapatient drug responses
Preprint 2019 en
Authors
CW
Chris J. de Witte
JV
Jose Espejo Valle-Inclán
NH
Nizar Hami
Abstract
1 min read
Abstract Purpose There remains an unmet need for preclinical models to enable personalized therapy for ovarian cancer (OC) patients. Recently, patient-derived organoid (PDO) cultures of patients with OC have been established that faithfully represent the histopathological features and genomic landscape of the patient tumor. In this study, we evaluate the capacity of OC PDOs to predict clinical drug response and functional consequences of tumor heterogeneity. Experimental design 36 genomically characterized PDOs from 23 patients with known clinical histories were exposed to chemotherapeutics and targeted drugs. Results OC PDOs maintained genomic features of the original tumor lesion and recapitulated patient response to neoadjuvant carboplatin and paclitaxel combination treatment, according to distinct clinical outcomes (histopathological, biochemical and radiological). PDOs displayed inter-as well as intrapatient drug response heterogeneity, which could in part be explained by genetic aberrations. All PDOs were resistant to PARP-inhibitors, in accordance with homologous recombination pathway fidelity and genome-wide mutation context. KRAS, BRAF and NRAS mutation status predicted response to BRAF-inhibitor vemurafenib and pan-HER-inhibitor afatinib, and explained differential response among four PDOs derived from distinct tumor locations of an individual patient. Importantly, PDO drug screening identified sensitivity to at least one drug for the majority of patients (88%). Conclusions OC PDOs are a valuable preclinical model system that can provide insights in drug response for individual patients with OC, complementary to genetic testing. Generating PDOs of multiple tumor locations can improve clinical decision making and increase our knowledge on genetic and drug response heterogeneity.
Chris Jenske de Witte, Jose Espejo Valle-Inclán, Nizar Hami, Kadi Lõhmussaar, Oded Kopper, Paul van Diest, Luan Nguyen, Hans Clevers, Edwin Cuppen, Hugo Johannes Gerhardus Snippert, Petronella Oda Witteveen, Ellen Stelloo
CJ de Witte, Ellen Stelloo, Nizar Hami, Jose Espejo Valle-Inclán, Kadi Lõhmussaar, Oded Kopper, Celien P.H. Vreuls, Trudy Jonges, PJ van Diest, Hans Clevers, HJG Snippert, WP Kloosterman, RP Zweemer, PO Witteveen
Carla S. Verissimo, Rene Overmeer, Bas Ponsioen, Jarno Drost, Sander Mertens, Ingrid Verlaan-Klink, Bastiaan van Gerwen, Marieke van der Ven, Marianne D. van de Wetering, David A. Egan, René Bernards, Hans Clevers, Johannes L. Bos, Hugo J.G. Snippert
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