Abstract

Abstract The endogenous immune system of patients are known to be activated through immuno-oncology drug, which activates the patient’s own immune system to target and attack tumors. Due to the relatively low occurrence of side effects and sustained success, these therapeutic techniques have gradually replaced the traditional cancer treatment regimen. The creation of an in-vitro screening platform for pre-evaluating the efficacy of immunotherapeutic drug candidates was highly essential despite the fact that many of the new emerging therapies had failed clinical trials.An in-vitro platform mirroring the interaction between a patient's unique Major Histocompatibility Complex (MHC) and T-cell receptor (TCR) is necessary for predicting the precise efficacy of immunotherapies. The tumor cells' MHC antigen molecule attaches to the T-cell receptor (TCR), allowing T-cells to manifest their tumor-killing activities as a result. The link between immunological checkpoint (ICP) in tumor cells and their receptors in T cells allows tumor cells to evade the effects of T-cell-mediated tumor death.We would like to introduce our "ODISEI" platform, a robust efficacy evaluation tool that enables the recapitulation of a patient's unique immune system, utilizing tumor organoids and PBMC from the same donors. Using PD-1/PD-L1 inhibiting antibodies, the enhanced functionality of our ODISEI platform as an effective evaluation platform for immunotherapy drugs was thoroughly examined. Additionally, we created several ODISEI platforms in order to recreate the precise interactions between tumor organoids and various immune sub-populations (T-cells, macrophages, regulatory T-cells, and dendritic cells). Our ODISEI platforms were validated by utilizing a variety of different drug candidates and evaluating their ability to eradicate tumors upon interaction with various reactive immune cells and tumors. As a result, our highly innovative ODISEI platform can be used to screen a variety of different immunotherapeutic drug candidates and distinguish their precise efficacy. Citation Format: Boeun Lee, Woo Kyeom Yang, Sarang Kim, Hee-Ra Lee, Donghyeon Kim, Jongman Yoo. Organoid-based drug efficacy evaluation model for immunotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 2 (Clinical Trials and Late-Breaking Research); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(8_Suppl):Abstract nr LB099.

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