| Literature DB >> 29472484 |
Georgios Vlachogiannis1, Somaieh Hedayat1, Alexandra Vatsiou2, Yann Jamin3, Javier Fernández-Mateos1,2, Khurum Khan1,4, Andrea Lampis1, Katherine Eason1, Ian Huntingford1, Rosemary Burke5, Mihaela Rata3, Dow-Mu Koh3,6, Nina Tunariu3,6, David Collins3, Sanna Hulkki-Wilson1, Chanthirika Ragulan1, Inmaculada Spiteri2, Sing Yu Moorcraft4, Ian Chau4, Sheela Rao4, David Watkins4, Nicos Fotiadis6, Maria Bali3,6, Mahnaz Darvish-Damavandi1, Hazel Lote1,4, Zakaria Eltahir1, Elizabeth C Smyth4, Ruwaida Begum4, Paul A Clarke5, Jens C Hahne1, Mitchell Dowsett7, Johann de Bono8, Paul Workman5, Anguraj Sadanandam1, Matteo Fassan9, Owen J Sansom10, Suzanne Eccles5, Naureen Starling4, Chiara Braconi4,5, Andrea Sottoriva2, Simon P Robinson3, David Cunningham4, Nicola Valeri11,4.
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.Entities:
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Year: 2018 PMID: 29472484 PMCID: PMC6112415 DOI: 10.1126/science.aao2774
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728