Title |
Circulating tumour cells escape from EpCAM-based detection due to epithelial-to-mesenchymal transition
|
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Published in |
BMC Cancer, May 2012
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DOI | 10.1186/1471-2407-12-178 |
Pubmed ID | |
Authors |
Tobias M Gorges, Ingeborg Tinhofer, Michael Drosch, Lars Röse, Thomas M Zollner, Thomas Krahn, Oliver von Ahsen |
Abstract |
Circulating tumour cells (CTCs) have shown prognostic relevance in metastatic breast, prostate, colon and pancreatic cancer. For further development of CTCs as a biomarker, we compared the performance of different protocols for CTC detection in murine breast cancer xenograft models (MDA-MB-231, MDA-MB-468 and KPL-4). Blood samples were taken from tumour bearing animals (20 to 200 mm2) and analysed for CTCs using 1. an epithelial marker based enrichment method (AdnaTest), 2. an antibody independent technique, targeting human gene transcripts (qualitative PCR), and 3. an antibody-independent approach, targeting human DNA-sequences (quantitative PCR). Further, gene expression changes associated with epithelial-to-mesenchymal transition (EMT) were determined with an EMT-specific PCR assay. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 1% |
Germany | 3 | <1% |
Netherlands | 1 | <1% |
France | 1 | <1% |
Italy | 1 | <1% |
Malaysia | 1 | <1% |
Saudi Arabia | 1 | <1% |
Sweden | 1 | <1% |
Romania | 1 | <1% |
Other | 1 | <1% |
Unknown | 326 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 82 | 24% |
Researcher | 61 | 18% |
Student > Master | 39 | 11% |
Student > Bachelor | 33 | 10% |
Student > Doctoral Student | 21 | 6% |
Other | 44 | 13% |
Unknown | 62 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 63 | 18% |
Medicine and Dentistry | 62 | 18% |
Biochemistry, Genetics and Molecular Biology | 53 | 15% |
Engineering | 35 | 10% |
Chemistry | 19 | 6% |
Other | 31 | 9% |
Unknown | 79 | 23% |