期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2016
卷号：113
期号：52
页码：E8379-E8386
DOI：10.1073/pnas.1608461113
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：SignificanceThere exists an urgent need for minimally invasive molecular analysis tools for cancer assessment and management, particularly in advanced-stage lung cancer, when tissue procurement is challenging and gene mutation profiling is crucial to identify molecularly targeted agents for treatment. High-throughput compartmentalization and multigene profiling of individual circulating tumor cells (CTCs) from whole-blood samples using modular gene panels may facilitate highly sensitive, yet minimally invasive characterization of lung cancer for therapy prediction and monitoring. We envision this nanoplatform as a compelling research tool to investigate the dynamics of cancer disease processes, as well as a viable clinical platform for minimally invasive yet comprehensive cancer assessment. Circulating tumor cells (CTCs) are established cancer biomarkers for the "liquid biopsy" of tumors. Molecular analysis of single CTCs, which recapitulate primary and metastatic tumor biology, remains challenging because current platforms have limited throughput, are expensive, and are not easily translatable to the clinic. Here, we report a massively parallel, multigene-profiling nanoplatform to compartmentalize and analyze hundreds of single CTCs. After high-efficiency magnetic collection of CTC from blood, a single-cell nanowell array performs CTC mutation profiling using modular gene panels. Using this approach, we demonstrated multigene expression profiling of individual CTCs from non-small-cell lung cancer (NSCLC) patients with remarkable sensitivity. Thus, we report a high-throughput, multiplexed strategy for single-cell mutation profiling of individual lung cancer CTCs toward minimally invasive cancer therapy prediction and disease monitoring.
