Tulukcuoglu Guneri Ezgi, Lakis Emile, Hajji Ismail, Martin Elian, Champ Jerome, Rampanou Aurore, Pierga Jean-Yves, Viovy Jean-Louis, Proudhon Charlotte, Bidard François-Clément, Descroix Stéphanie
Laboratoire Physico Chimie Curie, CNRS UMR168, Institut Curie, 75005 Paris, France.
PSL Research University, Sorbonne Université, 75005 Paris, France.
Cancers (Basel). 2022 Apr 8;14(8):1890. doi: 10.3390/cancers14081890.
Microfluidics has provided clinicians with new technologies to detect and analyze circulating tumor biomarkers in order to further improve their understanding of disease mechanism, as well as to improve patient management. Among these different biomarkers, circulating tumor cells have proven to be of high interest for different types of cancer and in particular for breast cancer. Here we focus our attention on a breast cancer subtype referred as HER2-positive breast cancer, this cancer being associated with an amplification of HER2 protein at the plasma membrane of cancer cells. Combined with therapies targeting the HER2 protein, HER2-HER3 dimerization blockade further improves a patient's outcome. In this work, we propose a new approach to CTC characterization by on-chip integrating proximity ligation assay, so that we can quantify the HER2-HER3 dimerization event at the level of single CTC. To achieve this, we developed a microfluidic approach combining both CTC capture, identification and HER2-HER3 status quantification by Proximity Ligation Assay (PLA). We first optimized and demonstrated the potential of the on-chip quantification of HER2-HER3 dimerization using cancer cell lines with various levels of HER2 overexpression and validated its clinical potential with a patient's sample treated or not with HER2-targeted therapy.
微流控技术为临床医生提供了检测和分析循环肿瘤生物标志物的新技术,以进一步增进他们对疾病机制的理解,并改善患者管理。在这些不同的生物标志物中,循环肿瘤细胞已被证明对不同类型的癌症,尤其是乳腺癌具有高度研究价值。在这里,我们将注意力集中在一种被称为HER2阳性乳腺癌的亚型上,这种癌症与癌细胞质膜上HER2蛋白的扩增有关。结合针对HER2蛋白的疗法,HER2-HER3二聚化阻断可进一步改善患者的治疗效果。在这项工作中,我们提出了一种通过芯片上集成邻近连接分析来表征循环肿瘤细胞的新方法,以便我们能够在单个循环肿瘤细胞水平上量化HER2-HER3二聚化事件。为了实现这一目标,我们开发了一种微流控方法,将循环肿瘤细胞捕获、识别与通过邻近连接分析(PLA)对HER2-HER3状态进行量化相结合。我们首先使用具有不同HER2过表达水平的癌细胞系优化并证明了芯片上HER2-HER3二聚化定量的潜力,并通过对接受或未接受HER2靶向治疗的患者样本验证了其临床潜力。