4.8 Article

Patient-derived organoids model treatment response of metastatic gastrointestinal cancers

Journal

SCIENCE
Volume 359, Issue 6378, Pages 920-+

Publisher

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.aao2774

Keywords

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Funding

  1. Cancer Research UK [CEA A18052, C52506/A22909, C309/A11566, C2739/A22897]
  2. National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) at The Royal Marsden NHS Foundation Trust
  3. Institute of Cancer Research [A62, A100, A101, A159]
  4. European Union [CIG 334261]
  5. Wellcome Trust [105104/Z/14/Z]
  6. Cancer Research UK Cancer Imaging Centre [C1060/A16464]
  7. Bayer Oncology Group Research Grant
  8. Chris Rokos Fellowship in Evolution and Cancer
  9. Merck-Serono
  10. Novartis
  11. Roche
  12. Sanofi Oncology
  13. Amgen
  14. Celgene
  15. Sanofi
  16. Merck Serono
  17. AstraZeneca
  18. Bayer
  19. Merrimack
  20. MedImmune
  21. Cancer Research UK [16464, 22909, 18052, 11566, 22897] Funding Source: researchfish
  22. Cancer Research UK
  23. Versus Arthritis [21139] Funding Source: researchfish
  24. National Institute for Health Research [NF-SI-0512-10122] Funding Source: researchfish
  25. Pancreatic Cancer Action [PCA-EDCA16-002] Funding Source: researchfish
  26. Pancreatic Cancer UK [RIF2014_01_Braconi] Funding Source: researchfish
  27. Wellcome Trust [105104/Z/14/Z] Funding Source: researchfish

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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.

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