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Correlation of expression of hypoxia-related proteins with prognosis in oral squamous cell carcinoma patients

Overview of attention for article published in Oral and Maxillofacial Surgery, May 2012
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Title
Correlation of expression of hypoxia-related proteins with prognosis in oral squamous cell carcinoma patients
Published in
Oral and Maxillofacial Surgery, May 2012
DOI 10.1007/s10006-012-0335-8
Pubmed ID
Authors

A. W. Eckert, M. Kappler, J. Schubert, H. Taubert

Abstract

Hypoxia plays a major role in tumor progression, therapy resistance and for prognosis of oral squamous cell carcinoma (OSCC). The crucial step as a response to hypoxia is the activation and stabilization of the alpha subunit of hypoxia inducible factor 1 (HIF-1α). HIF-1: HIF-1 regulates the expression of different genes to adapt the tumor cells to reduced oxygenation. The HIF-1 system is intrinsic regulated by von Hippel-Lindau protein (pVHL). Main downstream proteins are the glucose transporter 1 (GLUT-1), carbonic anhydrase IX (CAIX), and vascular endothelial growth factor (VEGF). For therapeutical stratification in OSCC, it is important to understand the mechanism caused by hypoxic stress and to comprehend the resulting adaptive process in cancer cells. Therefore, an overview of HIF-1α-depending protein expression, focussed on the expression of GLUT-1, CAIX, and VEGF and their prognostic significance in OSCC is given.

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The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Ph. D. Student 7 15%
Student > Master 7 15%
Student > Bachelor 5 10%
Professor > Associate Professor 3 6%
Other 8 17%
Unknown 7 15%
Readers by discipline Count As %
Medicine and Dentistry 20 42%
Agricultural and Biological Sciences 8 17%
Biochemistry, Genetics and Molecular Biology 4 8%
Chemistry 2 4%
Social Sciences 1 2%
Other 3 6%
Unknown 10 21%