Abstract 781P
Background
Precision medicine for cancer patients has brought effective novel therapy options over the past decades. However, treatment for high-risk ovarian cancer is still based on platinum containing chemotherapy. Around 30% of primary disease patients do not respond, and 40% of complete responders relapse within a year. Strong predictive markers are lacking. This study reports a predictive chemotherapy sensitivity score to support patient-centred and better informed treatment decisions.
Methods
89 ovarian cancer patients eligible for chemotherapy were included in the trial between 2019 and 2022 in the Netherlands (IRB P18.032). Tumour clusters were isolated from ascites and solid tumour, seeded into a 384-well plate, and exposed to carboplatin, paclitaxel, three second-line chemotherapies, PARPi, and six immunotherapies. Next, ex vivo drug sensitivity was quantified using high-throughput 3D imaging and extraction of morphological features. The chemotherapy sensitivity score was generated by correlation of the assay results with the patients' response to carboplatin-paclitaxel. In parallel, patients’ relative sensitivity to other chemo-, targeted- and immunotherapies was assessed.
Results
The platform enabled accurate prediction of carboplatin-paclitaxel with a classification accuracy of 80%. Differential ex vivo patient response profiles were observed across second-line therapies, and 11% of the samples demonstrated a strong response to at least one of the immune compounds, indicating that our test method could provide alternative treatment options. For doxorubicin, the ex vivo results match clinical response (n=3), providing further evidence for the predictivity of the assay. Importantly, the assay has a success rate of 89%.
Conclusions
The prediction of clinical response to first-line therapy and identification of patient-specific sensitivity to ten second-line therapies in parallel, allows the support of informed treatment decisions for multiple treatment classes. Its two-week timeline makes the assay applicable in a clinical environment. A prospective trial for patients with suboptimal response and recurrent disease is ongoing.
Clinical trial identification
CME LUMC-P18.032.
Editorial acknowledgement
Legal entity responsible for the study
Leiden University Medical Center Radboud University Medical Center.
Funding
VitroScan B.V.
Disclosure
C.D. de Kroon: Other, Personal, Local PI: LUMC. A. van Altena: Other, Personal, Local PI: Radboud UMC. D. van der Meer, L. Ceton, J. van der Valk, T. Sijsenaar: Financial Interests, Personal, Full or part-time Employment: VitroScan. F. Grillet, M. Garcia Montero: Non-Financial Interests, Personal, Non-financial benefits: VitroScan. W. Vader: Financial Interests, Personal, Stocks or ownership: VitroScan; Financial Interests, Personal, Full or part-time Employment: VitroScan. P.B. Ottevanger: Non-Financial Interests, Personal, Local PI: Radboud UMC. J.R. Kroep: Non-Financial Interests, Personal, Local PI: LUMC.
Resources from the same session
800P - Response to chemotherapy following PARP inhibition in UK ovarian cancer (OC) patients
Presenter: Sarah Howlett
Session: Poster session 11
802P - Real-world data of olaparib maintenance therapy in patients with BRCA-mutated platinum-sensitive relapsed ovarian cancer: Final results of the C-PATROL study
Presenter: Frederik Marmé
Session: Poster session 11
803P - Pre-treatment systemic inflammatory markers predict survival in endometrial cancer cases: A Japanese gynaecologic oncology group 2043 exploratory data analysis
Presenter: Shin Nishio
Session: Poster session 11
805P - Tumor-informed ctDNA detection as a predictive marker for postoperative residual disease in epithelial ovarian cancer: A feasibility study
Presenter: Christoph Grimm
Session: Poster session 11
806P - Pilot ambulatory malignant bowel obstruction (MBO) electronic monitoring program in patients with gynecologic cancers
Presenter: Ainhoa Madariaga Urrutia
Session: Poster session 11
807P - Predicting surgical outcomes in patients with advanced ovarian cancer through MRI based preoperative evaluation
Presenter: Shujuan Liu
Session: Poster session 11
808P - Cell-free human papillomavirus (HPV) DNA is a sensitive biomarker for monitoring treatment response and for detecting relapse in locally advanced cervical cancer
Presenter: Lars Sivars
Session: Poster session 11
809P - Mental and socioeconomic burden in endometrial and cervical cancer patients: A Swedish population-based study of survivorship
Presenter: jiangrong wang
Session: Poster session 11
810P - The influence of preoperative conization (pc) to patient’s (pts) outcome and tumor biology of cervical cancer (CC)
Presenter: Dimitra Trantaki
Session: Poster session 11
811P - Epidemiological landscape of cervical cancer in Latin America: EVITA LATAM (LACOG 0820)
Presenter: Graziela Zibetti Dal Molin
Session: Poster session 11