Ex vivo 3D micro-tumor testing platform for predicting clinical response to platinum-based therapy in patients with high-grade serous ovarian cancer.

e17555 Background: While over 200,000 women are diagnosed with high-grade serous ovarian cancer (HGSOC) annually, primary treatment has not changed for decades and consists of cytoreductive surgery and platinum-based therapy. However, around 20% of patients do not respond to this treatment. Unfortunately, predictive biomarkers for response to treatment are lacking. We present an innovative high throughput ex vivo 3D micro-tumor testing platform that predicts patient-specific response to different systemic treatments. Methods: Patients with HGSOC eligible for platinum-based neoadjuvant chemotherapy (NACT) were included in the study between 2019 and 2023 in the Netherlands (IRB P18.032, N=104). Micro-tumors enriched from ascites were embedded in hydrogel and exposed to carboplatin, paclitaxel and alternative therapies doxorubicin, gemcitabine, topotecan, olaparib and niraparib. Screening plates were imaged using a high-content 3D screening platform. Morphological features were extracted and fitted as dose-response curves. A linear regression model was trained on the AUCs of carboplatin and paclitaxel to predict the patient’s CA125 decay rates (N=38). Predicted CA125 decay rates were correlated to clinical outcomes (patient CA125 decay rate, change in target lesion size and progression-free survival). Throughput time was measured. Results: Ovarian cancer markers found in patient tumors were represented by isolated micro-tumors. CA125 decay rates predicted by ex vivo micro-tumor testing correlated to clinical patient responses with a correlation coefficient of 0.77 (R 2 =0.59). Moreover, predicted CA125 decay rates were significantly related to responses categorized according to gynaecological cancer intergroup (GCIG) guidelines (p<0.01 when comparing responders (CR/PR) to stable disease (SD)). Patients with high predicted sensitivity to NACT demonstrated significantly increased progression-free survival (p=0.02) and decreased target lesion size (R =-0.49). Complementary, patient-specific responses for second-line therapies were determined and presented in integrated reports. Sensitivity results could be generated within 2 weeks after sample collection. Conclusions: An ex vivo 3D micro-tumor testing platform has been established. Results are generated within 2 weeks after sample collection, aligning with the clinical time frame for treatment decision-making. The platform enabled prediction of clinical response to NACT in ovarian cancer patients with high accuracy (CR/PR vs SD/PD p < 0.01) and measured patient-specific responses to second-line therapies. In addition, patients with predicted high sensitivity to NACT demonstrated a significant survival benefit. Ongoing prospective evaluation of the clinical performance will further validate the application of the platform to support informed treatment decisions. Clinical trial information: P18.032 .

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Journal
Journal of Clinical Oncology
Published
2025-05-28
DOI
https://doi.org/10.1200/jco.2025.43.16_suppl.e17555
Primary Topic
Advanced Biosensing Techniques and Applications
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article
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article

Ex vivo 3D micro-tumor testing platform for predicting clinical response to platinum-based therapy in patients with high-grade serous ovarian cancer.

Willemijn Vader, T. Sijsenaar, Judith R. Kroep, Dieudonne van der Meer et al.
Journal of Clinical Oncology
Advanced Biosensing Techniques and Applications
article

Ex vivo 3D micro-tumor testing platform for predicting clinical response to platinum-based therapy in patients with high-grade serous ovarian cancer.

Willemijn Vader, T. Sijsenaar, Judith R. Kroep, Dieudonne van der Meer, Cor D. de Kroon, L. Ceton, Petronella B. Ottevanger, Anne M. van Altena, Esmee Koedoot, Els L. van Persijn-van Meerten
article en

Abstract

e17555 Background: While over 200,000 women are diagnosed with high-grade serous ovarian cancer (HGSOC) annually, primary treatment has not changed for decades and consists of cytoreductive surgery and platinum-based therapy. However, around 20% of patients do not respond to this treatment. Unfortunately, predictive biomarkers for response to treatment are lacking. We present an innovative high throughput ex vivo 3D micro-tumor testing platform that predicts patient-specific response to different systemic treatments. Methods: Patients with HGSOC eligible for platinum-based neoadjuvant chemotherapy (NACT) were included in the study between 2019 and 2023 in the Netherlands (IRB P18.032, N=104). Micro-tumors enriched from ascites were embedded in hydrogel and exposed to carboplatin, paclitaxel and alternative therapies doxorubicin, gemcitabine, topotecan, olaparib and niraparib. Screening plates were imaged using a high-content 3D screening platform. Morphological features were extracted and fitted as dose-response curves. A linear regression model was trained on the AUCs of carboplatin and paclitaxel to predict the patient’s CA125 decay rates (N=38). Predicted CA125 decay rates were correlated to clinical outcomes (patient CA125 decay rate, change in target lesion size and progression-free survival). Throughput time was measured. Results: Ovarian cancer markers found in patient tumors were represented by isolated micro-tumors. CA125 decay rates predicted by ex vivo micro-tumor testing correlated to clinical patient responses with a correlation coefficient of 0.77 (R 2 =0.59). Moreover, predicted CA125 decay rates were significantly related to responses categorized according to gynaecological cancer intergroup (GCIG) guidelines (p<0.01 when comparing responders (CR/PR) to stable disease (SD)). Patients with high predicted sensitivity to NACT demonstrated significantly increased progression-free survival (p=0.02) and decreased target lesion size (R =-0.49). Complementary, patient-specific responses for second-line therapies were determined and presented in integrated reports. Sensitivity results could be generated within 2 weeks after sample collection. Conclusions: An ex vivo 3D micro-tumor testing platform has been established. Results are generated within 2 weeks after sample collection, aligning with the clinical time frame for treatment decision-making. The platform enabled prediction of clinical response to NACT in ovarian cancer patients with high accuracy (CR/PR vs SD/PD p < 0.01) and measured patient-specific responses to second-line therapies. In addition, patients with predicted high sensitivity to NACT demonstrated a significant survival benefit. Ongoing prospective evaluation of the clinical performance will further validate the application of the platform to support informed treatment decisions. Clinical trial information: P18.032 .

Journal of Clinical OncologyVol. 43(16_suppl)
Radboud University Nijmegen (NL), Leiden University Medical Center (NL), Radboud University Medical Center (NL)
Openalex Percentile: Top 89%
Advanced Biosensing Techniques and Applications
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