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Generation and Culturing of High-Grade Serous Ovarian Cancer Patient-Derived Organoids.
Graham, Olivia; Rodriguez, Jeimmy; van Biljon, Lillian; Fashemi, Bisiayo; Graham, Emily; Fuh, Katherine; Khabele, Dineo; Mullen, Mary.
Affiliation
  • Graham O; Washington University in St. Louis.
  • Rodriguez J; Washington University in St. Louis.
  • van Biljon L; Washington University in St. Louis.
  • Fashemi B; Washington University in St. Louis.
  • Graham E; Washington University in St. Louis.
  • Fuh K; Washington University in St. Louis; University of California San Francisco.
  • Khabele D; Washington University in St. Louis.
  • Mullen M; Washington University in St. Louis; marymullen@wustl.edu.
J Vis Exp ; (191)2023 01 06.
Article in En | MEDLINE | ID: mdl-36688549
Organoids are 3D dynamic tumor models that can be grown successfully from patient-derived ovarian tumor tissue, ascites, or pleural fluid and aid in the discovery of novel therapeutics and predictive biomarkers for ovarian cancer. These models recapitulate clonal heterogeneity, the tumor microenvironment, and cell-cell and cell-matrix interactions. Additionally, they have been shown to match the primary tumor morphologically, cytologically, immunohistochemically, and genetically. Thus, organoids facilitate research on tumor cells and the tumor microenvironment and are superior to cell lines. The present protocol describes distinct methods to generate patient-derived ovarian cancer organoids from patient tumors, ascites, and pleural fluid samples with a higher than 97% success rate. The patient samples are separated into cellular suspensions by both mechanical and enzymatic digestion. The cells are then plated utilizing a basement membrane extract (BME) and are supported with optimized growth media containing supplements specific to the culturing of high-grade serous ovarian cancer (HGSOC). After forming initial organoids, the PDOs can sustain long-term culture, including passaging for expansion for subsequent experiments.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Cystadenocarcinoma, Serous Type of study: Guideline / Prognostic_studies Limits: Female / Humans Language: En Journal: J Vis Exp Year: 2023 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Cystadenocarcinoma, Serous Type of study: Guideline / Prognostic_studies Limits: Female / Humans Language: En Journal: J Vis Exp Year: 2023 Document type: Article Country of publication: United States