PO.CL01.21 · 临床研究

Integrated disc-fluidic platform for high-throughput extracellular vesicle processing in liquid biopsy

海报缩略图:Integrated disc-fluidic platform for high-throughput extracellular vesicle processing in liquid biopsy
编号 6526 展板 15 时间 4/21 02:00–05:00 区域 Section 43 主讲 Hakho Lee, PhD
分会场 Diagnostic Biomarkers 2
查看完整资料 下载 PDF 登录后可访问当前开放资料 AACR 官方页面 ↗

作者与单位

Hakho Lee1, Hyun-Kyung Woo1, Cesar M. Castro1, Jun Seok Park2, Yoon-Jeong Choi1

1Harvard Medical School/Massachusetts General Hospital, Boston, MA,2Kyungpook National University Medical Center, Daegue, Korea, Republic of

摘要 Abstract

Extracellular vesicles (EVs) represent a promising class of cancer biomarkers, enabling repeated and minimally invasive access to tumor-derived molecular information. A major challenge, however, is that EVs are embedded in complex and variable biological matrices, making the purification and standardized processing of these particles essential for reliable clinical analysis. Existing EV isolation methods are slow, labor-intensive, and prone to variability; limitations that hinder widespread adoption in translational cancer research. Here, we present an integrated centrifugal disc-fluidics platform designed for automated, high-throughput EV processing. The system incorporates key innovative features, including plasma separation, chromatographic EV purification, centripetal liquid transfer, and bead-based EV capture and immunolabeling. These modules operate seamlessly to execute a complete EV workflow on a single disposable disc. Using whole blood inputs, the developed system enriched plasma EVs within 8 minutes while removing >96% of lipoprotein contaminants. It further enabled multiplexed immunolabeling for 16 EV protein targets, completing the entire workflow in <75 minutes. In a pilot clinical study ( n = 221 plasma samples), we applied the prototype device for multi-panel (30-marker) EV protein profiling. The resulting signatures robustly distinguished cancer from non-cancer samples and further stratified tumor types. By combining automation, standardization, and throughput, this disc-fluidic platform provides a scalable route toward reproducible EV analytics and has strong potential for advancing EV biomarkers into clinical oncology applications.
利益披露 Disclosure
H. Lee, Ionis ). H. Woo, None.. C. M. Castro, None.. J. Park, None.. Y. Choi, None.

在会议检索中打开