Patient-derived organoids model treatment response of metastatic gastrointestinal cancers

Georgios Vlachogiannis(Institute of Cancer Research), Somaieh Hedayat(Institute of Cancer Research), Alexandra Vatsiou(Institute of Cancer Research), Yann Jamin(Institute of Cancer Research), Javier Fernández-Mateos(Institute of Cancer Research), Khurum Khan(Institute of Cancer Research), Andrea Lampis(Institute of Cancer Research), Katherine Eason(Institute of Cancer Research), Ian Said Huntingford(Institute of Cancer Research), Rosemary Burke(Institute of Cancer Research), Mihaela Rata(Institute of Cancer Research), Dow‐Mu Koh(Institute of Cancer Research), Nina Tunariu(Institute of Cancer Research), David J. Collins(Institute of Cancer Research), Sanna Hulkki-Wilson(Institute of Cancer Research), Chanthirika Ragulan(Institute of Cancer Research), Inmaculada Spiteri(Institute of Cancer Research), Sing Yu Moorcraft, Ian Chau, Sheela Rao, David Watkins, Nicos Fotiadis, Maria Antonietta Bali(Institute of Cancer Research), Mahnaz Darvish-Damavandi(Institute of Cancer Research), Hazel Lote(Institute of Cancer Research), Zakaria Eltahir(Institute of Cancer Research), Elizabeth Smyth, Ruwaida Begum, Paul A. Clarke(Institute of Cancer Research), Jens C. Hahne(Institute of Cancer Research), Mitch Dowsett(Royal Marsden NHS Foundation Trust), Johann S. de Bono(Institute of Cancer Research), Paul Workman(Institute of Cancer Research), Anguraj Sadanandam(Institute of Cancer Research), Matteo Fassan(University of Padua), Owen J. Sansom(Cancer Research UK Scotland Institute), Suzanne A. Eccles(Institute of Cancer Research), Naureen Starling, Chiara Braconi(Institute of Cancer Research), Andrea Sottoriva(Institute of Cancer Research), Simon P. Robinson(Institute of Cancer Research), David Cunningham, Nicola Valeri(Institute of Cancer Research)
Science
February 22, 2018
Cited by 2,030Open Access
Full Text

Abstract

Patient-derived organoids (PDOs) have recently emerged as robust preclinical models; however, their potential to predict clinical outcomes in patients has remained unclear. We report on a living biobank of PDOs from metastatic, heavily pretreated colorectal and gastroesophageal cancer patients recruited in phase 1/2 clinical trials. Phenotypic and genotypic profiling of PDOs showed a high degree of similarity to the original patient tumors. Molecular profiling of tumor organoids was matched to drug-screening results, suggesting that PDOs could complement existing approaches in defining cancer vulnerabilities and improving treatment responses. We compared responses to anticancer agents ex vivo in organoids and PDO-based orthotopic mouse tumor xenograft models with the responses of the patients in clinical trials. Our data suggest that PDOs can recapitulate patient responses in the clinic and could be implemented in personalized medicine programs.


Related Papers