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Characterization of various cell lines from different ampullary cancer subtypes and cancer associated fibroblast-mediated responses

Overview of attention for article published in BMC Cancer, March 2016
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Title
Characterization of various cell lines from different ampullary cancer subtypes and cancer associated fibroblast-mediated responses
Published in
BMC Cancer, March 2016
DOI 10.1186/s12885-016-2193-5
Pubmed ID
Authors

Zon Weng Lai, Louisa Bolm, Hannah Fuellgraf, Martin L. Biniossek, Frank Makowiec, Ulrich Theodor Hopt, Martin Werner, Tobias Keck, Dirk Bausch, Claudio Sorio, Aldo Scarpa, Oliver Schilling, Peter Bronsert, Ulrich Friedrich Wellner

Abstract

Ampullary cancer is a relatively rare form of cancer and usually treated by pancreatoduodenectomy, followed by adjuvant therapy. The intestinal subtype is associated with markedly improved prognosis after resection. At present, only few cell lines are available for in vitro studies of ampullary cancer and they have not been collectively characterized. We characterize five ampullary cancer cell lines by subtype maker expression, epithelial-mesenchymal transition (EMT) features, growth and invasion, drug sensitivity and response to cancer-associated fibroblast conditioned medium (CAF-CM). On the basis of EMT features, subtype marker expression, growth, invasion and drug sensitivity three types of cell lines could be distinguished: mesenchymal-like, pancreatobiliary-like and intestinal-like. Heterogeneous effects from the cell lines in response to CAF-CM, such as different growth rates, induction of EMT markers as well as suppression of intestinal differentiation markers were observed. In addition, proteomic analysis showed a clear difference in intestinal-like cell line from other cell lines. Most of the available AMPAC cell lines seem to reflect a poorly differentiated pancreatobiliary or mesenchymal-like phenotype, which is consistent to their origin. We suggest that the most appropriate cell line model for intestinal-like AMPAC is the SNU869, while others seem to reflect aggressive AMPAC subtypes.

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The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Student > Bachelor 4 13%
Student > Master 4 13%
Student > Doctoral Student 3 10%
Researcher 3 10%
Other 3 10%
Unknown 8 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 23%
Medicine and Dentistry 6 20%
Agricultural and Biological Sciences 4 13%
Nursing and Health Professions 2 7%
Engineering 2 7%
Other 1 3%
Unknown 8 27%