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doi: 10.1586/erm.10.66
pmid: 20843197
Cancer remains a prominent health concern in modern societies. Continuous innovations and introduction of new technologies are essential to level or reduce current healthcare spending. A diagnostic platform to detect circulating tumor cells (CTCs) in peripheral blood may be most promising in this respect. CTCs have been proposed as a minimally invasive, prognostic and predictive marker to reflect the biological characteristics of tumors and are implemented in an increasing number of clinical studies. Still, their detection remains a challenge as they may occur at concentrations below one single cell per ml of blood. To facilitate their detection, here we describe microfluidic modules to isolate and genotype CTCs directly from clinical blood samples. In a first cell isolation and detection module, the CTCs are immunomagnetically enriched, separated and counted. In a second module and after cell lysis, the mRNA is reversely transcripted to cDNA, followed by a multiplex ligation probe amplification of 20 specific genetic markers and two control fragments. Following the multiplex ligation probe amplification reaction, the amplified fragments are electrochemically detected in a third and final module. Besides the design of the modules, their functionality is described using control samples. Further testing using clinical samples and integration of all modules in a single, fully automated smart miniaturized system will enable minimal invasive testing for frequent detection and characterization of CTCs.
Genotype, Immunomagnetic Separation, Cell Line, Tumor, Neoplasms, Humans, Biosensing Techniques, Electrochemical Techniques, Neoplastic Cells, Circulating, Nucleic Acid Amplification Techniques
Genotype, Immunomagnetic Separation, Cell Line, Tumor, Neoplasms, Humans, Biosensing Techniques, Electrochemical Techniques, Neoplastic Cells, Circulating, Nucleic Acid Amplification Techniques
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |