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• W4362596404 abstract "Abstract Enhanced, physiologically relevant in-vitro tumor models significantly increase the success rate in new drug development, reduce the number of animal experiments and result finally in better therapies for cancer patients. Furthermore, they have the potential to offer new approaches to personalized oncology. In recent years, 3D cell cultures were established as relevant preclinical cancer models, suitable for high-throughput-screening. However, their capacity to model and/or measure physiological processes can still be enhanced. Colorectal carcinomas (CRC) are one of the most common malignant tumors. Due to its heterogeneity and high probability to metastasize, the disease is often incurable and novel, improved therapies are urgently needed. In this project, we developed a tumor organoid-on-chip platform (TumOC) by combining most recent technological advances: We integrated CRC patient-derived 3D cell cultures (organoids) and microsensor particles that enable assessment of cell vitality in real time by measuring oxygen concentration in a microfluidic system. The resulting TumOC platform allows for defined exposition of cytostatic drugs including dynamic and combination treatments. Measurements of cell vitality in real time enables analysis of not only the final effect of a drug treatment, but also the kinetics of drug response. At the same time, utilizing organoids allows for recapitulating tumor architecture and heterogeneity. Using the TumOC platform, we measured the cell vitality in real time over several days during treatment with classic chemotherapeutics or targeted cancer drugs and compared the results to end-point measurements on the same organoids in a static system. We assessed the effect of intra- and intertumoral heterogeneity and developed a protocol for treatment with clinically used combination regimes. In conclusion, our TumOC platform with its ability to recapitulate tumor heterogeneity in combination with dynamic treatments and real-time cell vitality assessment is an in-vitro tumor model closely recapitulating the physiological situation in a patient. TumOC provides an impressive opportunity to test and, consequently, predict the effectiveness of anti-cancer therapies. Therefore, this system is of interest not only for pre-clinical drug development but also for personalized oncology. Citation Format: Marie Flechner, Juergen Loskutov, Madeleine Nadolny, Ulrike Pfohl, Christian R. Regenbrecht, Katja Uhlig, Lena Wedeken. Personalized identification of cancer treatments in real-time: TumOC - a tumor organoid-on-chip platform for online cell vitality measurements [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 190." @default.
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• W4362596404 date "2023-04-04" @default.
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• W4362596404 title "Abstract 190: Personalized identification of cancer treatments in real-time: TumOC - a tumor organoid-on-chip platform for online cell vitality measurements" @default.
• W4362596404 doi "https://doi.org/10.1158/1538-7445.am2023-190" @default.
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