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Prospective Identification of Glioblastoma Cells Generating Dormant Tumors

Overview of attention for article published in PLOS ONE, September 2012
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Title
Prospective Identification of Glioblastoma Cells Generating Dormant Tumors
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044395
Pubmed ID
Authors

Ronit Satchi-Fainaro, Shiran Ferber, Ehud Segal, Lili Ma, Niharika Dixit, Ambreen Ijaz, Lynn Hlatky, Amir Abdollahi, Nava Almog

Abstract

Although dormant tumors are highly prevalent within the human population, the underlying mechanisms are still mostly unknown. We have previously identified the consensus gene expression pattern of dormant tumors. Here, we show that this gene expression signature could be used for the isolation and identification of clones which generate dormant tumors. We established single cell-derived clones from the aggressive tumor-generating U-87 MG human glioblastoma cell line. Based only on the expression pattern of genes which were previously shown to be associated with tumor dormancy, we identified clones which generate dormant tumors. We show that very high expression levels of thrombospondin and high expression levels of angiomotin and insulin-like growth factor binding protein 5 (IGFBP5), together with low levels of endothelial specific marker (ESM) 1 and epithelial growth factor receptor (EGFR) characterize the clone which generates dormant U-87 MG derived glioblastomas. These tumors remained indolent both in subcutaneous and orthotopic intracranial sites, in spite of a high prevalence of proliferating cells. We further show that tumor cells which form U-87 MG derived dormant tumors have an impaired angiogenesis potential both in vitro and in vivo and have a slower invasion capacity. This work demonstrates that fast-growing tumors contain tumor cells that when isolated will form dormant tumors and serves as a proof-of-concept for the use of transcriptome profiles in the identification of such cells. Isolating the tumor cells that form dormant tumors will facilitate understanding of the underlying mechanisms of dormant micro-metastases, late recurrence, and changes in rate of tumor progression.

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The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Brazil 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 21%
Student > Bachelor 7 18%
Student > Master 5 13%
Professor 4 11%
Student > Ph. D. Student 4 11%
Other 8 21%
Unknown 2 5%
Readers by discipline Count As %
Medicine and Dentistry 14 37%
Agricultural and Biological Sciences 10 26%
Biochemistry, Genetics and Molecular Biology 4 11%
Pharmacology, Toxicology and Pharmaceutical Science 4 11%
Physics and Astronomy 1 3%
Other 3 8%
Unknown 2 5%