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Identification of CBX3 and ABCA5 as Putative Biomarkers for Tumor Stem Cells in Osteosarcoma

Overview of attention for article published in PLOS ONE, August 2012
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Title
Identification of CBX3 and ABCA5 as Putative Biomarkers for Tumor Stem Cells in Osteosarcoma
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0041401
Pubmed ID
Authors

Vaibhav Saini, Curtis D. Hose, Anne Monks, Kunio Nagashima, Bingnan Han, Dianne L. Newton, Angelena Millione, Jalpa Shah, Melinda G. Hollingshead, Karen M. Hite, Mark W. Burkett, Rene M. Delosh, Thomas E. Silvers, Dominic A. Scudiero, Robert H. Shoemaker

Abstract

Recently, there has been renewed interest in the role of tumor stem cells (TSCs) in tumorigenesis, chemoresistance, and relapse of malignant tumors including osteosarcoma. The potential exists to improve osteosarcoma treatment through characterization of TSCs and identification of therapeutic targets. Using transcriptome, proteome, immunophenotyping for cell-surface markers, and bioinformatic analyses, heterogeneous expression of previously reported TSC or osteosarcoma markers, such as CD133, nestin, POU5F1 (OCT3/4), NANOG, SOX2, and aldehyde dehydrogenase, among others, was observed in vitro. However, consistently significantly lower CD326, CD24, CD44, and higher ABCG2 expression in TSC-enriched as compared with un-enriched osteosarcoma cultures was observed. In addition, consistently higher CBX3 expression in TSC-enriched osteosarcoma cultures was identified. ABCA5 was identified as a putative biomarker of TSCs and/or osteosarcoma. Lastly, in a high-throughput screen we identified epigenetic (5-azacytidine), anti-microtubule (vincristine), and anti-telomerase (3,11-difluoro-6,8,13-trimethyl- 8H-quino [4,3,2-kl] acridinium methosulfate; RHPS4)-targeted therapeutic agents as candidates for TSC ablation in osteosarcoma.

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Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 4%
Portugal 1 2%
India 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 48 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 17%
Student > Bachelor 9 17%
Researcher 7 13%
Professor > Associate Professor 5 9%
Student > Postgraduate 4 7%
Other 9 17%
Unknown 11 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 30%
Biochemistry, Genetics and Molecular Biology 9 17%
Medicine and Dentistry 9 17%
Immunology and Microbiology 2 4%
Nursing and Health Professions 1 2%
Other 4 7%
Unknown 13 24%