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Updated: Sep 15, 2025

Ovarian Cancer Patient-Derived Organoid Models for Pre-Clinical Drug Testing
Published on: September 15, 2023
Organoid Models Established from Primary Tumors and Patient-Derived Xenograft Tumors Reflect Platinum Sensitivity of
Background:
Ovarian cancer (OC) remains the deadliest gynecological cancer, primarily due to late-stage diagnosis and high rates of chemotherapy resistance and recurrence. Lack of representative preclinical models complicate the challenges of discovering effective therapies, especially for platinum-resistant OC. Patient-derived xenograft (PDX) models maintain the genetic characteristics of the original tumor and are ideal for testing candidate therapies in vivo , but their high cost limits their feasibility for high-throughput drug screening. Organoid models mimic the tumor's 3D structure and preserve intra-tumoral heterogeneity. While organoids established directly from primary patient tumors are the optimal model for personalized drug response studies, the supply of primary tissue is often limited. Patient-derived xenograft tumors can be passaged in mice and provide a renewable source of cancer cells for organoids. This study aimed to determine if PDX-derived organoids (PDXOs) can reflect patient responses to chemotherapy similarly to primary patient-derived organoids (PDOs).
Methods:
3D tumor organoid cultures were established from paired primary OC and PDX samples. Organoid viability after 72-hour treatment with paclitaxel (PTX), carboplatin (CBDCA), or their combination was compared between organoids derived directly from the patient or from the PDX models. The in vitro drug responses of PDXOs and PDOs were then compared to defined patient clinical responses: platinum-sensitive (initial response to standard platinum/taxol therapy lasting >6 months post-treatment), platinum-resistant (initial response to standard chemotherapy lasting < 6 months), or platinum-refractory (no initial response to standard chemotherapy).
Results:
In drug response assays, PDXOs and PDOs demonstrated similar sensitivity to standard chemotherapy and also reliably reflected patient responses based on the clinical designation of platinum sensitivity. While organoids derived from the ascites were smaller with a denser morphology, their drug response mirrored that of the organoids derived from solid tumor. Platinum-sensitive cases exhibited significant reductions (around 50% reduction) in organoid viability when treated with carboplatin, paclitaxel, or their combination. Platinum-resistant or refractory organoids showed little to no reduction in viability with carboplatin or paclitaxel monotherapy or the combination. Organoids derived from one platinum-resistant case did show a small but significant reduction in viability with single-agent paclitaxel, suggesting that organoid models might predict response to second-line paclitaxel therapy.
Conclusion:
This study demonstrates that PDXOs respond to drugs similarly to PDOs and confirms that both models effectively mirror patient response to standard chemotherapy. This highlights the potential of PDXOs as renewable models for screening novel therapies and developing personalized strategies in OC.
Simple Summary:
Ovarian cancer (OC) remains the most lethal gynecological cancer, largely due to its late diagnosis and resistance to chemotherapy. In order to identify novel therapies to treat ovarian cancer, we need better in vitro models that represent the genetic heterogeneity of the patient population. This study evaluates patient-derived organoid models established either directly from patient samples (PDOs) or from patient samples that were first passaged in mice and are referred to as patient-derived xenograft organoids (PDXOs). For each patient, organoid response to standard chemotherapy based on organoid viability assays was compared to the patient's clinical designation of platinum sensitivity, which is categorized as platinum-sensitive, platinum-resistant, or platinum-refractory based on their response to standard chemotherapy. We demonstrated that both PDOs and PDXOs accurately reflect the patient's clinical designation, suggesting their utility as effective models for testing new therapies and personalizing treatment. Importantly, by providing a renewable source of patient-derived cells, PDXOs extend the utility of each sample, making organoids essential tools for developing and refining personalized treatment strategies in oncology.
Insights
Patient-derived xenograft organoids (PDXOs) and primary patient-derived organoids (PDOs) effectively mirror patient responses to ovarian cancer chemotherapy. These models show similar drug sensitivities, highlighting their potential for personalized treatment strategies and novel therapy screening.
Area of Science:
- Oncology
- Translational Medicine
- Cancer Biology
Background:
- Ovarian cancer (OC) is the deadliest gynecological cancer due to late diagnosis and chemotherapy resistance.
- Developing effective preclinical models is crucial for identifying novel therapies for platinum-resistant OC.
- Patient-derived xenograft (PDX) models and organoid models offer potential but have limitations.
Purpose of the Study:
- To determine if PDX-derived organoids (PDXOs) can accurately reflect patient responses to chemotherapy, similar to primary patient-derived organoids (PDOs).
- To evaluate the utility of PDXOs as renewable models for personalized drug response studies in ovarian cancer.
Main Methods:
- Established 3D organoid cultures from paired primary OC and PDX samples.
- Treated organoids with paclitaxel, carboplatin, or combination therapy and assessed viability.
- Compared organoid drug responses to patient clinical outcomes (platinum-sensitive, resistant, or refractory).
Main Results:
- PDXOs and PDOs exhibited similar sensitivity to standard chemotherapy and accurately reflected patient platinum sensitivity.
- Organoids derived from ascites or solid tumors showed comparable drug responses.
- Platinum-sensitive organoids showed significant viability reduction, while resistant/refractory organoids showed minimal response.
Conclusions:
- PDXOs serve as effective, renewable models that mirror patient responses to chemotherapy, similar to PDOs.
- Both PDXO and PDO models are valuable for predicting patient response and screening novel ovarian cancer therapies.
- PDXOs enhance the utility of each patient sample, supporting personalized treatment strategies in oncology.

