Abstract 200: Patient-derived cervical cancer organoids as a pre-clinical model predicting drug and radiation response

Abstract Objective: Advanced cervical cancer is still difficult to treat and in the case of recurrent cancer, it is desirable to utilize personalized treatment rather than uniform treatment because the type of recurrence is different for each individual. Therefore, this study aimed to establish patients-derived organoid platform to determine the effects of chemotherapy, radiation therapy, and targeted therapy in cervical cancer. Methods: We established organoids from four patients with various types of cervical cancer. The histopathological and gene profiles of these organoid models were compared to determine their characteristics and the maintenance of the patient phenotype. Each type of organoid was also subjected to anticancer drug screening and radiation therapy to evaluate its sensitivity. Results: We established patient-derived organoids recapitulated the main elements of the original patient tumors, including the DNA copy number and mutational profile. We screened seven drugs that showed growth inhibition in cervical cancer organoids using two analytical tools (individual drugs and an FDA-approved drug library). Moreover, squamous cell carcinoma and villoglandular carcinoma showed significant response to radiation therapy, however, adenocarcinoma and large-cell neuroendocrine carcinoma showed relative resistance to radiation therapy. Conclusion: Our results showed patient-derived cervical cancer organoid can be used as a pre-clinical model for drug and radiation sensitivity test. These findings suggest that patient-derived cervical cancer organoids could be used as a personalized medicine confirmation tool and to improve treatment options for patients with various subtypes of cervical cancer. Citation Format: Ju Hee Oh, Hyang Sook Seol, Eun Hye Choi, Yong Jae Lee Lee, Jung-Yun Lee, Sang Wun Kim, Sunghoon Kim, Young Tae Kim, Hyun Ki Kim, Young Joo Lee, Eun Ji Nam. Patient-derived cervical cancer organoids as a pre-clinical model predicting drug and radiation response [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 200.