Publication: Commun Biol. 2019 Feb 25;2:78. doi: 10.1038/s42003-019-0305-x. eCollection 2019.
Authors: Phan N, Soragni A, et. al.
Tumor organoids maintain cell-cell interactions, heterogeneity, microenvironment, and drug response of the sample they originate from. Thus, there is increasing interest in developing tumor organoid models for drugdevelopment and personalized medicine applications. Although organoids are in principle amenable to high-throughput screenings, progress has been hampered by technical constraints and extensive manipulations required by current methods. Here we introduce a miniaturized method that uses a simplified geometry by seeding cells around the rim of the wells (mini-rings). This allows high-throughput screenings in a format compatible with automation as shown using four patient-derived tumor organoids established from two ovarian and one peritoneal high-grade serous carcinomas and one carcinosarcoma of the ovary. Using our automated screening platform, we identified personalized responses by measuring viability, number, and size of organoids after exposure to 240 kinase inhibitors. Results are available within a week from surgery, a timeline compatible with therapeutic decision-making.
Science Translational Medicine 09 Oct 2019: Vol. 11, Issue 513, eaay2574 DOI: 10.1126/scitranslmed.aay2574
Curr Opin Genet Dev. 2019 Mar 4;54:7-11. doi: 10.1016/j.gde.2019.02.003
Ann Surg Oncol. 2019 Jan;26(1):139-147. doi: 10.1245/s10434-018-7008-2. Epub 2018 Nov 9.
Nature 561, S48-S49 (2018); doi: 10.1038/d41586-018-06708-3
Human Molecular Genetics, Volume 27, Issue R2, 01 August 2018, Pages R99–R107
Nature Reviews Cancer, volume 18, pages407–418 (2018)
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