ArticleJournal of ovarian research2024
In vitro drug testing using patient-derived ovarian cancer organoids.
Article in Journal of ovarian research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Evaluating carboplatin and PARP inhibitor combination efficacy using high-grade serous carcinoma spheroids and organoids.Cancer biology & therapy · 2026Article
- Application of hydrogels in 3D tumor microenvironment modeling and drug screening for cervical cancer: A review.Bioengineering & translational medicine · 2026Review
- Patient-derived organoids in gynaecological cancers: emerging tools for therapy and disease modelling.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- [Standardized Construction of Lung Cancer Organoids and Their Application Progress in the Precise Treatment of Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026Review
- Multifunctional Nanoparticles Fabricated by Dispersion Polymerization for the Treatment of Triple-Negative Breast Cancer.Journal of biomedical nanotechnology · 2026Article
- Precision oncology in gynecologic cancers: molecular taxonomy, biomarker-guided therapeutics, and the challenge of therapeutic resistance.Frontiers in oncology · 2026Review
- Organoids and AI-integrated models in ovarian cancer research: the future of personalized therapy.Frontiers in oncology · 2026Review
- Generation of healthy bovine ovarian organoids: a proof-of-concept derivation technique.Journal of ovarian research · 2025Article
- Development and Application of Tumor Organoids: An Emerging Platform for Gynecological Cancers.International journal of women's health · 2025Review
- Correction: In vitro drug testing using patient-derived ovarian cancer organoids.Journal of ovarian research · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOvarian cancer is the most lethal gynecological cancer. As the primary treatment, chemotherapy has a response rate of only 60-70% in advanced stages, and even lower as a second-line treatment. Despite guideline recommendations, which drugs will be most effective remains unclear. Thus, a strategy to prioritize chemotherapy options is urgently needed. Cancer organoids have recently emerged as a method for in vitro drug testing. However, limited clinical correlations have been assessed with test results from cancer organoids, particularly in gynecological cancers. We therefore aimed to generate patient-derived organoids (PDOs) of ovarian cancer, to assess their drug sensitivities and correlations with patient clinical outcomes.
methodsPDOs were generated from fresh tumors obtained during surgical resection, which was then cultured under matrix gel and appropriate growth factors. Morphological and molecular characterization of PDOs were assessed by phase contrast microscopy and paraffin-embedded histopathology. Expressions of PAX8, TP53, WT1, CK7, and CK20 were tested by immunohistochemical staining and compared with parental tumor tissues and the human protein atlas database. PDOs were subjected to in vitro drug testing to determine drug sensitivity using Titer-Glo
resultsWe established 31 PDOs. Among them, 28 PDOs can be expanded, including 15, 11, and 2 from ovarian, endometrial, and cervical cancers, respectively. The PDOs preserved the histopathological profiles of their originating tumors. In vitro drug testing of 10 ovarian cancer PDOs revealed individual differential responses to recommended drugs, and interpersonal heterogeneity in drug sensitivity, even with the same histology type. Among four patients who were platinum sensitive, resistant, or refractory, PDO drug responses correlated well with their clinical courses.
conclusionIn vitro drug testing using ovarian cancer organoids is feasible and correlates well with patient clinical responses. These results may facilitate development of precision chemotherapy and personalized screening for repurposed or new drugs.
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