Görner Karin, Bachmann Jeannine, Holzhauer Claudia, Kirchner Roland, Raba Katharina, Fischer Johannes C, Martignoni Marc E, Schiemann Matthias, Alunni-Fabbroni Marianna
Beckman Coulter Biomedical GmbH, 81377 Munich, Germany.
Department of Surgery, Klinikum rechts der Isar, Technische Universität München, 81675 Munich, Germany.
Genomics. 2015 Jul;106(1):7-14. doi: 10.1016/j.ygeno.2015.02.003. Epub 2015 Mar 24.
Pancreatic cancer is one of the most aggressive malignant tumors, mainly due to an aggressive metastasis spreading. In recent years, circulating tumor cells became associated to tumor metastasis. Little is known about their expression profiles. The aim of this study was to develop a complete workflow making it possible to isolate circulating tumor cells from patients with pancreatic cancer and their genetic characterization.
We show that the proposed workflow offers a technical sensitivity and specificity high enough to detect and isolate single tumor cells. Moreover our approach makes feasible to genetically characterize single CTCs.
Our work discloses a complete workflow to detect, count and genetically analyze individual CTCs isolated from blood samples. This method has a central impact on the early detection of metastasis development. The combination of cell quantification and genetic analysis provides the clinicians with a powerful tool not available so far.
胰腺癌是最具侵袭性的恶性肿瘤之一，主要原因是侵袭性转移扩散。近年来，循环肿瘤细胞与肿瘤转移相关。关于它们的表达谱知之甚少。本研究的目的是开发一个完整的工作流程，以便能够从胰腺癌患者中分离循环肿瘤细胞并对其进行基因特征分析。
我们表明，所提出的工作流程具有足够高的技术敏感性和特异性，能够检测和分离单个肿瘤细胞。此外，我们的方法使对单个循环肿瘤细胞进行基因特征分析成为可能。
我们的工作揭示了一个完整的工作流程，用于检测、计数和基因分析从血样中分离出的单个循环肿瘤细胞。该方法对转移发展的早期检测具有核心影响。细胞定量和基因分析的结合为临床医生提供了一个迄今为止尚未有的强大工具。
