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Functional significance of CD105-positive cells in papillary renal cell carcinoma

Overview of attention for article published in BMC Cancer, January 2017
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Title
Functional significance of CD105-positive cells in papillary renal cell carcinoma
Published in
BMC Cancer, January 2017
DOI 10.1186/s12885-016-2985-7
Pubmed ID
Authors

Damian Matak, Klaudia K. Brodaczewska, Cezary Szczylik, Irena Koch, Adam Myszczyszyn, Monika Lipiec, Slawomir Lewicki, Lukasz Szymanski, Robert Zdanowski, Anna M. Czarnecka

Abstract

CD105 was postulated as a renal cell carcinoma (RCC) stem cell marker, and CD133 as a putative RCC progenitor. Hypoxia, a natural microenvironment that prevails in tumors, was also incorporated into the study, especially in terms of the promotion of hypothetical stem-like cell properties. Within this study, we verify the existence of CD105+ and CD133+ populations in selected papillary subtype RCC (pRCC) cell lines. Both populations were analyzed for correlation with stem-like cell properties, such as stemness gene expression, and sphere and colony formation. For the preliminary analysis, several RCC cell lines were chosen (786-O, SMKT-R2, Caki-2, 796-P, ACHN, RCC6) and the control was human kidney cancer stem cells (HKCSC) and renal cells of embryonic origin (ASE-5063). Four cell lines were chosen for further investigation: Caki-2 (one of the highest numbers of CD105+ cells; primary origin), ACHN (a low number of CD105+ cells; metastatic origin), HKCSC (putative positive control), and ASE-5063 (additional control). In 769-P and RCC6, we could not detect a CD105+ population. Hypoxia variously affects pRCC cell growth, and mainly diminishes the stem-like properties of cells. Furthermore, we could not observe the correlation of CD105 and/or CD133 expression with the enhancement of stem-like properties. Based on this analysis, CD105/CD133 cannot be validated as cancer stem cell markers of pRCC cell lines.

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Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 23%
Student > Ph. D. Student 5 23%
Student > Bachelor 4 18%
Librarian 1 5%
Other 1 5%
Other 1 5%
Unknown 5 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 23%
Biochemistry, Genetics and Molecular Biology 2 9%
Engineering 2 9%
Medicine and Dentistry 2 9%
Psychology 1 5%
Other 1 5%
Unknown 9 41%