Abstract
Abstract Introduction: The successful outcomes observed in clinical trials emphasize the effectiveness of therapeutic approaches relying on biomarker tests, particularly in the development of cancer drugs. The parallel development of a drug and its associated predictive biomarker is considered an ideal strategy for achieving rapid and successful drug development in precision medicine. In this context, we employ an automated circulating tumor cell (CTC) isolation platform, known as GenoCTC, to facilitate the development of biomarker-driven CTC assays, with the ultimate goal of developing companion diagnostic (CDx) tests. Method: This study employed the 5th generation GenoCTC device, a fully automated system designed for marker-based CTC enrichment using immune magnetophoresis. We confirmed the isolation of CTCs through spiking tests, utilizing cancer biomarkers such as cMET, Mesothelin (MSLN), and Claudin 3 (CLDN3). cMET is a biomarker extensively studied in various cancers, particularly non-small cell lung cancer. We previously showed the prognostic significance of cMET expressing CTCs in HR+ and HER2- metastatic breast cancer patients. MSLN and CLDN3 are tumor-associated proteins showing overexpression across diverse cancer types, with a potential for the development of antibody-based cytotoxic drugs. The GenoCTC device allows efficient separation of CTCs expressing these biomarkers, ensuring high accuracy, precision, specificity, and sensitivity. Simultaneously, therapeutic drugs directed at these markers are progressing through phase trials or preclinical studies. Conclusion: Our results show that cMET, MSLN, and CLDN3 are potential markers for the development of biomarker tests, that can improve the patient selection process for personalized therapy targeting these biomarkers. Citation Format: Chaithanya Chelakkot, Jieun Park, Chae Rin Kim, Yeonu Lee, Yu Rim Lee, Saehyung Lee, Jun Young Choi, Young Ho Moon, Yoon-La Choi, Young Kee Shin, Hun Seok Lee. Advancing multi-biomarker CTC assay and CDx development through the automated GenoCTC system [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7497.
Published Version
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