Patient-derived organoids can predict response to chemotherapy in metastatic colorectal cancer patients

Salo Ooft(Oncode Institute), Fleur Weeber(Oncode Institute), Krijn K. Dijkstra(Oncode Institute), Chelsea McLean(Oncode Institute), Sovann Kaing(Oncode Institute), Erik van Werkhoven(The Netherlands Cancer Institute), Luuk J. Schipper(Oncode Institute), Louisa R. Hoes(Oncode Institute), Daniël J. Vis(Oncode Institute), Joris van de Haar(Oncode Institute), Warner Prevoo(Dutch Cancer Society), Pétur Snæbjörnsson(Dutch Cancer Society), Daphne van der Velden(Oncode Institute), Michelle Klein(Oncode Institute), Myriam Chalabi(Oncode Institute), Henk Boot(The Netherlands Cancer Institute), Monique E. van Leerdam(The Netherlands Cancer Institute), Haiko J. Bloemendal(Radboud University Nijmegen), Laurens V. Beerepoot(Elisabeth-TweeSteden Ziekenhuis), Lodewyk F.A. Wessels(Oncode Institute), Edwin Cuppen(University Medical Center Utrecht), Hans Clevers(Royal Netherlands Academy of Arts and Sciences), Emile E. Voest(The Netherlands Cancer Institute)
Science Translational Medicine
October 9, 2019
Cited by 818

Abstract

There is a clear and unmet clinical need for biomarkers to predict responsiveness to chemotherapy for cancer. We developed an in vitro test based on patient-derived tumor organoids (PDOs) from metastatic lesions to identify nonresponders to standard-of-care chemotherapy in colorectal cancer (CRC). In a prospective clinical study, we show the feasibility of generating and testing PDOs for evaluation of sensitivity to chemotherapy. Our PDO test predicted response of the biopsied lesion in more than 80% of patients treated with irinotecan-based therapies without misclassifying patients who would have benefited from treatment. This correlation was specific to irinotecan-based chemotherapy, however, and the PDOs failed to predict outcome for treatment with 5-fluorouracil plus oxaliplatin. Our data suggest that PDOs could be used to prevent cancer patients from undergoing ineffective irinotecan-based chemotherapy.


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