» Articles » PMID: 39323050

Ovarian Cancer Patient-Derived Organoids Used As a Model for Replicating Genetic Characteristics and Testing Drug Responsiveness: A Preliminary Study

Overview
Journal Cell Transplant
Date 2024 Sep 26
PMID 39323050
Authors
Affiliations
Soon will be listed here.
Abstract

This study aimed to explore the role of ovarian cancer patient-derived organoids (PDOs) in their replicating genetic characteristics and testing drug responsiveness. Ovarian cancer PDOs were cultured in Matrigel with a specialized medium. The successful rate and proliferation rate were calculated. Morphology, histology, and immunohistochemistry (IHC) (PAX8, P53, and WT1) were used to identify the tumor characteristics. Gene sequencing, variant allele frequency (VAF), and copy number variation were used to explore the mutation profile. The sensitivity to chemodrugs (carboplatin, paclitaxel, gemcitabine, doxorubicin, and olaparib) was conducted. Successful generation of organoids occurred in 54% (7/13) of attempts, encompassing 4 high-grade serous carcinomas (HGSC), 1 mucinous carcinoma (MC), 1 clear cell carcinoma (CCC), and 1 carcinosarcoma. The experiments used six organoids (3 HGSC, 1 CCC, 1 MC, and 1 carcinosarcoma). The derived organoids exhibited spherical-like morphology, and the diameter ranged from 100 to 500 μm. The histology and IHC exhibited the same between organoids and primary tumors. After cryopreservation, the organoid's growth rate was slower than the primary culture (14 days vs 10 days, < 0.01). Targeted sequencing revealed shared DNA variants, including mutations in key genes, such as , , and . VAF was similar between primary tumors and organoids. The organoids maintained inherited most copy number alterations. Drug sensitivity testing revealed varying responses, with carcinosarcoma organoids showing higher sensitivity to paclitaxel and gemcitabine than HGSC organoids. Our preliminary results showed that ovarian cancer PDOs could be successfully derived and histology, mutations, and diverse copy numbers of genotypes could be faithfully captured. Drug testing could reveal the individual PDO's responsiveness to drugs. PDOs might be as valuable resources for investigating genomic biomarkers for personalized treatment.

Citing Articles

Early Diagnosis of Ovarian Cancer: A Comprehensive Review of the Advances, Challenges, and Future Directions.

Hong M, Ding D Diagnostics (Basel). 2025; 15(4).

PMID: 40002556 PMC: 11854769. DOI: 10.3390/diagnostics15040406.

References
1.
Maru Y, Tanaka N, Itami M, Hippo Y . Efficient use of patient-derived organoids as a preclinical model for gynecologic tumors. Gynecol Oncol. 2019; 154(1):189-198. DOI: 10.1016/j.ygyno.2019.05.005. View

2.
Timmermans M, Sonke G, Van de Vijver K, van der Aa M, Kruitwagen R . No improvement in long-term survival for epithelial ovarian cancer patients: A population-based study between 1989 and 2014 in the Netherlands. Eur J Cancer. 2017; 88:31-37. DOI: 10.1016/j.ejca.2017.10.030. View

3.
Nanki Y, Chiyoda T, Hirasawa A, Ookubo A, Itoh M, Ueno M . Patient-derived ovarian cancer organoids capture the genomic profiles of primary tumours applicable for drug sensitivity and resistance testing. Sci Rep. 2020; 10(1):12581. PMC: 7387538. DOI: 10.1038/s41598-020-69488-9. View

4.
Senkowski W, Gall-Mas L, Marin Falco M, Li Y, Lavikka K, Kriegbaum M . A platform for efficient establishment and drug-response profiling of high-grade serous ovarian cancer organoids. Dev Cell. 2023; 58(12):1106-1121.e7. PMC: 10281085. DOI: 10.1016/j.devcel.2023.04.012. View

5.
Maenhoudt N, Defraye C, Boretto M, Jan Z, Heremans R, Boeckx B . Developing Organoids from Ovarian Cancer as Experimental and Preclinical Models. Stem Cell Reports. 2020; 14(4):717-729. PMC: 7160357. DOI: 10.1016/j.stemcr.2020.03.004. View