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Proteins from formalin-fixed paraffin-embedded prostate cancer sections that predict the risk of metastatic disease

Overview of attention for article published in Clinical Proteomics, September 2015
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Title
Proteins from formalin-fixed paraffin-embedded prostate cancer sections that predict the risk of metastatic disease
Published in
Clinical Proteomics, September 2015
DOI 10.1186/s12014-015-9096-3
Pubmed ID
Authors

Jonathan C. Dunne, David S. Lamb, Brett Delahunt, Judith Murray, Peter Bethwaite, Peter Ferguson, John N. Nacey, Sven Sondhauss, T. William Jordan

Abstract

Prostate cancer is the most frequently diagnosed cancer in men and the third leading cause of cancer related deaths among men living in developed countries. Biomarkers that predict disease outcome at the time of initial diagnosis would substantially aid disease management. Proteins extracted from formalin-fixed paraffin-embedded tissue were identified using nanoflow liquid chromatography-MALDI MS/MS or after separation by one- or two-dimensional electrophoresis. The proteomics data have been deposited to the ProteomeXchange with identifier PXD000963. A list of potential biomarker candidates, based on proposed associations with prostate cancer, was derived from the 320 identified proteins. Candidate biomarkers were then examined by multiplexed Western blotting of archival specimens from men with premetastatic disease and subsequent disease outcome data. Annexin A2 provided the best prediction of risk of metastatic disease (log-rank Chi squared p = 0. 025). A tumor/control tissue >2-fold relative abundance increase predicted early biochemical failure, while <2-fold change predicted late or no biochemical failure. This study confirms the potential for use of archival FFPE specimens in the search for prognostic biomarkers for prostate cancer and suggests that annexin A2 abundance in diagnostic biopsies is predictive for metastatic potential. Protein profiling each cancer may lead to an overall reduction in mortality from metastatic prostate cancer as well as reduced treatment associated morbidity.

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Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 3%
Austria 1 3%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Other 8 22%
Student > Doctoral Student 5 14%
Student > Bachelor 5 14%
Researcher 5 14%
Student > Ph. D. Student 4 11%
Other 5 14%
Unknown 5 14%
Readers by discipline Count As %
Medicine and Dentistry 11 30%
Biochemistry, Genetics and Molecular Biology 9 24%
Agricultural and Biological Sciences 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Chemistry 2 5%
Other 2 5%
Unknown 8 22%