4.7 Article

Single cell-derived spheroids capture the self-renewing subpopulations of metastatic ovarian cancer

期刊

CELL DEATH AND DIFFERENTIATION
卷 29, 期 3, 页码 614-626

出版社

SPRINGERNATURE
DOI: 10.1038/s41418-021-00878-w

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资金

  1. Associazione Italiana per la Ricerca sul Cancro (AIRC) [IG 2014-2018, IG-14622]
  2. EPIGEN Flagship Project of the Italian National Research Council (CNR)
  3. European Research Council
  4. Fondazione Umberto Veronesi
  5. Fondazione IEO-CCM
  6. Centro Cardiologico Monzino
  7. Fondazione Italiana per la Ricerca sul Cancro (FIRC)
  8. Fondazione Cariplo [20170886]
  9. AIRC [IG2016-ID18575]
  10. ERCConsolidator Grant [617978]
  11. Italian Ministry of Health (Ricerca Corrente grant) [PE2016-02362551]
  12. European Research Council (ERC) [617978] Funding Source: European Research Council (ERC)

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This study introduces a new method for isolating and growing single cells from patients' metastatic ascites to establish 3D cultures referred to as sMOCS. By using single cell RNA sequencing, researchers were able to define the cellular composition of metastatic ascites and reproduce features of the original metastasis that cannot be observed in traditional 2D culture. This method provides a powerful tool for precision oncology in ovarian cancer by enriching informative cell subpopulations and analyzing their diversity at the functional and molecular level.
High Grade Serous Ovarian cancer (HGSOC) is a major unmet need in oncology, due to its precocious dissemination and the lack of meaningful human models for the investigation of disease pathogenesis in a patient-specific manner. To overcome this roadblock, we present a new method to isolate and grow single cells directly from patients' metastatic ascites, establishing the conditions for propagating them as 3D cultures that we refer to as single cell-derived metastatic ovarian cancer spheroids (sMOCS). By single cell RNA sequencing (scRNAseq) we define the cellular composition of metastatic ascites and trace its propagation in 2D and 3D culture paradigms, finding that sMOCS retain and amplify key subpopulations from the original patients' samples and recapitulate features of the original metastasis that do not emerge from classical 2D culture, including retention of individual patients' specificities. By enabling the enrichment of uniquely informative cell subpopulations from HGSOC metastasis and the clonal interrogation of their diversity at the functional and molecular level, this method provides a powerful instrument for precision oncology in ovarian cancer.

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