PO.CL01.23 · 临床研究

整合CTC分析以表征肿瘤进展并支持面向下一代癌症治疗的广泛多组学生物标志物平台

Integrated CTC analysis to characterize tumor progression and enable broad multi-omics biomarker platforms for next-generation cancer Therapeutics

编号 3775 展板 19 时间 4/20 02:00–05:00 区域 Section 42 主讲 Kangwon Jang, Dr PH
分会场 Circulating Tumor Cells, Metastasis, and Dissemination Biology 2
该海报暂无可下载的资料 AACR 官方页面

作者与单位 Authors & Affiliations

Hyoyong Kim1, Sehyung Pak2, Dajeong Lee3, Seung Hwan Son3, Giho Seo3, Kangwon Jang1, Byung Hee Jeon2

1Cytogen, Inc., Seoul, Korea, Republic of,2CytoGen Inc., Seoul, Korea, Republic of,3Humic Inc., Seoul, Korea, Republic of

摘要 Abstract

中文摘要
背景:循环肿瘤细胞(CTC)为评估肿瘤进展、转移潜能及治疗反应提供了一种微创方法。CytoGen的SMART BIOPSY™平台基于高清HDM Chip技术,能够从非临床及临床样本中实现灵敏的CTC捕获。在非临床疗效研究中确立CTC动态变化的转化价值,对于开发能够支持临床试验设计和IND申报的生物标志物至关重要。 方法:为探究CTC、肿瘤负荷与转移之间的关系,我们使用非转移性和转移性人类癌细胞系构建了异种移植模型。在肿瘤生长期间及治疗干预后纵向采集血液样本。使用SMART BIOPSY™平台分离CTC,并通过免疫荧光(IF)进行评估,以计数总CTC并定量靶标标志物阳性CTC群体。通过影像学和尸检评估肿瘤大小及转移进展,以确定其与CTC动态变化的相关性。 结果:基于IF的分析显示CTC计数与肿瘤负荷之间存在明确相关性,转移性模型的CTC数量持续高于非转移性模型。重要的是,导致肿瘤缩小的治疗使靶标标志物阳性CTC显著减少,表明SMART BIOPSY™能够灵敏反映药效学变化。这些发现验证了该平台在非临床疗效研究中监测肿瘤进展及早期治疗反应的可靠性。 结论:尽管本研究聚焦于基于IF的CTC表征,SMART BIOPSY™平台与广泛的多组学工作流程完全兼容,包括scRNA-seq、FISH、NGS、免疫荧光组合及蛋白质组学,能够为转移和耐药性开展全面的生物标志物发现。从非临床CTC分析中获得的转化性见解可直接用于IND申报,支持早期临床试验中的患者分层策略和药效学监测。总体而言,SMART BIOPSY™提供了连接非临床疗效研究与临床药物开发的稳健桥梁,确立了一个用于下一代肿瘤治疗的通用且可扩展的平台。
查看英文原文 English abstract
Background: Circulating tumor cells (CTCs) offer a minimally invasive approach to evaluate tumor progression, metastatic potential, and therapeutic response. CytoGen's SMART BIOPSY™ platform, based on high-definition HDM Chip technology, enables sensitive CTC capture from non-clinical and clinical samples. Establishing the translational value of CTC dynamics in non-clinical efficacy studies is essential for developing biomarkers that can support clinical trial design and IND filing. Methods: To investigate the relationship between CTCs, tumor burden, and metastasis, xenograft models were generated using both non-metastatic and metastatic human cancer cell lines. Blood samples were collected longitudinally during tumor growth and after therapeutic intervention. CTCs were isolated using the SMART BIOPSY™ platform and evaluated by immunofluorescence (IF) to enumerate total CTCs and quantify target-marker-positive CTC populations. Tumor size and metastatic progression were assessed through imaging and necropsy to determine correlations with CTC dynamics. Results: IF-based analysis demonstrated a clear correlation between CTC counts and tumor burden, with metastatic models consistently yielding higher CTC numbers than non-metastatic models. Importantly, therapeutic treatment that led to tumor reduction produced a significant decrease in target-marker-positive CTCs, indicating that SMART BIOPSY™ sensitively reflects pharmacodynamic changes. These findings validate the platform's reliability for monitoring tumor progression and early treatment response in non-clinical efficacy studies. Conclusions: While this study focused on IF-based CTC characterization, the SMART BIOPSY™ platform is fully compatible with a broad multi-omics workflow, including scRNA-seq, FISH, NGS, immunofluorescence panels, and proteomics, enabling comprehensive biomarker discovery for metastasis and drug resistance. The translational insights obtained from non-clinical CTC analyses can be directly leveraged in IND filing, supporting patient stratification strategies and pharmacodynamic monitoring in early-phase clinical trials. Collectively, SMART BIOPSY™ provides a robust bridge that connects non-clinical efficacy studies with clinical drug development, establishing a versatile and expandable platform for next-generation oncology therapeutics.
利益披露 Disclosure
H. Kim, None.. S. Pak, None.. D. Lee, None.. S. Son, None.. G. Seo, None.. K. Jang, None.. B. Jeon, None.

← 返回 AACR 2026 检索