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

Authors :
Emile E. Voest
Erik van Werkhoven
Sovann Kaing
Chelsea M. McLean
Michelle Klein
Edwin Cuppen
L.R. Hoes
Monique E. van Leerdam
Haiko J. Bloemendal
Lodewyk F. A. Wessels
Daniel J. Vis
Daphne L. van der Velden
Joris van de Haar
Hans Clevers
Henk Boot
Petur Snaebjornsson
Luuk J. Schipper
Fleur Weeber
Laurens V. Beerepoot
Krijn K. Dijkstra
Salo N. Ooft
Myriam Chalabi
Warner Prevoo
Graduate School
APH - Methodology
APH - Personalized Medicine
Hubrecht Institute for Developmental Biology and Stem Cell Research
Source :
Science translational medicine, 11(513). American Association for the Advancement of Science, Science Translational Medicine, 11(513), Science Translational Medicine, 11(513). American Association for the Advancement of Science (AAAS), Science Translational Medicine, 11, Science Translational Medicine, 11, 513, Science Translational Medicine, 11(513). American Association for the Advancement of Science
Publication Year :
2019

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.

Details

ISSN :
19466242 and 19466234
Volume :
11
Issue :
513
Database :
OpenAIRE
Journal :
Science translational medicine
Accession number :
edsair.doi.dedup.....23ada554d731cb01f49b569cdcd060ca