†Department of Pharmaceutical Science, Leslie Dan Faculty of Pharmacy, ‡Division of Urology, Sunnybrook Research Institute, §Department of Electrical and Computer Engineering, Faculty of Engineering, ∥Institute for Biomaterials and Biomedical Engineering, and ⊥Department of Biochemistry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada M5S 3M2.
Anal Chem. 2015 Jun 16;87(12):6258-64. doi: 10.1021/acs.analchem.5b01019. Epub 2015 Jun 2.
The isolation and rapid molecular characterization of circulating tumor cells (CTCs) from a liquid biopsy could enable the convenient and effective characterization of the state and aggressiveness of cancerous tumors. Existing technologies enumerate CTCs using immunostaining; however, these approaches are slow, labor-intensive, and often fail to enable further genetic characterization of CTCs. Here, we report on an integrated circuit that combines the capture of CTCs with the profiling of their gene expression signatures. Specifically, we use a velocity valley chip to efficiently capture magnetic nanoparticle-bound CTCs, which are then directly analyzed for their gene expression profiles using nanostructured microelectrode biosensors. CTCs are captured with 97% efficiency from 2 mL of whole blood, yielding a 500-fold concentration within 1 h. We show efficient capture of as few as 2 cancer cells/(mL of blood) and demonstrate that the gene expression module accurately profiles the expression of prostate-specific genes in CTCs captured from whole blood. This advance provides the first sample-to-answer solution for gene-based testing of CTCs. The approach was successfully validated using samples collected from prostate cancer patients: both CTCs and prostate-specific antigen (PSA) mRNA sequences were detected in all cancer patient samples and not in the healthy controls.
从液体活检中分离和快速分子鉴定循环肿瘤细胞 (CTC),可以方便有效地描述癌性肿瘤的状态和侵袭性。现有的技术使用免疫染色来计数 CTC,但这些方法速度慢、劳动强度大,并且常常无法进一步对 CTC 的遗传特征进行分析。在这里,我们报告了一种集成电路,它将 CTC 的捕获与它们的基因表达特征分析结合在一起。具体来说,我们使用速度谷芯片来有效地捕获结合有磁性纳米颗粒的 CTC,然后使用纳米结构微电极生物传感器直接分析它们的基因表达谱。从 2 毫升全血中以 97%的效率捕获 CTC,在 1 小时内实现了 500 倍的浓度富集。我们展示了对低至 2 个癌细胞/(毫升血液)的有效捕获,并证明了基因表达模块能够准确地对全血中捕获的 CTC 中的前列腺特异性基因的表达进行分析。这一进展为基于基因的 CTC 检测提供了首个即取即用的解决方案。该方法使用从前列腺癌患者采集的样本进行了成功验证:在所有癌症患者样本中均检测到了 CTC 和前列腺特异性抗原 (PSA) mRNA 序列,而在健康对照组中则未检测到。