Targeted proteomics identifies liquid-biopsy signatures for extracapsular prostate cancer

Yunee Kim; Jouhyun Jeon; Salvador Mejia; Cindy Q Yao; Vladimir Ignatchenko; Julius O Nyalwidhe; Anthony O Gramolini; Raymond S Lance; Dean A Troyer; Richard R Drake; Paul C Boutros; O. John Semmes; Thomas Kislinger

doi:10.1038/ncomms11906

Nature Communications (Jun 2016)

Targeted proteomics identifies liquid-biopsy signatures for extracapsular prostate cancer

Yunee Kim,
Jouhyun Jeon,
Salvador Mejia,
Cindy Q Yao,
Vladimir Ignatchenko,
Julius O Nyalwidhe,
Anthony O Gramolini,
Raymond S Lance,
Dean A Troyer,
Richard R Drake,
Paul C Boutros,
O. John Semmes,
Thomas Kislinger

Affiliations

Yunee Kim: Department of Medical Biophysics, University of Toronto
Jouhyun Jeon: Informatics and Bio-computing Program, Ontario Institute for Cancer Research
Salvador Mejia: Princess Margaret Cancer Center, University Health Network
Cindy Q Yao: Department of Medical Biophysics, University of Toronto
Vladimir Ignatchenko: Princess Margaret Cancer Center, University Health Network
Julius O Nyalwidhe: Department of Microbiology and Molecular Cell Biology, Eastern Virginia Medical School
Anthony O Gramolini: Department of Physiology, University of Toronto
Raymond S Lance: Leroy T. Canoles Jr. Cancer Research Center, Eastern Virginia Medical School
Dean A Troyer: Department of Microbiology and Molecular Cell Biology, Eastern Virginia Medical School
Richard R Drake: Department of Cell and Molecular Pharmacology and Experimental Therapeutics, Medical University of South Carolina
Paul C Boutros: Department of Medical Biophysics, University of Toronto
O. John Semmes: Department of Microbiology and Molecular Cell Biology, Eastern Virginia Medical School
Thomas Kislinger: Department of Medical Biophysics, University of Toronto

DOI: https://doi.org/10.1038/ncomms11906
Journal volume & issue: Vol. 7, no. 1
pp. 1 – 10

Abstract

Read online

Proteomic technologies are capable of identifying thousands of proteins in biological samples, but biomarker applications are lagging. Here the authors use Multiple Reaction Monitoring Mass Spectrometry to delineate peptide signatures that accurately distinguish between defined prostate cancer patient risk groups.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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