Patient-Derived Ovarian Cancer Organoids Mimic Clinical Response and Exhibit Heterogeneous Inter- and Intrapatient Drug Responses

Chris J. de Witte(Utrecht University), Jose Espejo Valle-Inclán(Utrecht University), Nizar Hami(Utrecht University), Kadi Lõhmussaar(Royal Netherlands Academy of Arts and Sciences), Oded Kopper(Royal Netherlands Academy of Arts and Sciences), Celien P.H. Vreuls(Utrecht University), Geertruida N. Jonges(Utrecht University), Paul van Diest(Utrecht University), Luan Nguyen(Utrecht University), Hans Clevers(Royal Netherlands Academy of Arts and Sciences), Wigard P. Kloosterman(Utrecht University), Edwin Cuppen(Utrecht University), Hugo Johannes Gerhardus Snippert(Utrecht University), Ronald P. Zweemer(Utrecht University), Petronella O. Witteveen(Utrecht University), Ellen Stelloo(Utrecht University)
Cell Reports
June 1, 2020
Cited by 307Open Access
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Abstract

There remains an unmet need for preclinical models to enable personalized therapy for ovarian cancer (OC) patients. Here we evaluate the capacity of patient-derived organoids (PDOs) to predict clinical drug response and functional consequences of tumor heterogeneity. We included 36 whole-genome-characterized PDOs from 23 OC patients with known clinical histories. OC PDOs maintain the genomic features of the original tumor lesion and recapitulate patient response to neoadjuvant carboplatin/paclitaxel combination treatment. PDOs display inter- and intrapatient drug response heterogeneity to chemotherapy and targeted drugs, which can be partially explained by genetic aberrations. PDO drug screening identifies high responsiveness to at least one drug for 88% of patients. PDOs are valuable preclinical models that can provide insights into 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 of genetic and drug response heterogeneity.


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