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Development of selected reaction monitoring-MS methodology to measure peptide biomarkers in prostate cancer

dc.contributor.authorYocum, Anastasia K.en_US
dc.contributor.authorKhan, Amjad P.en_US
dc.contributor.authorZhao, Rongen_US
dc.contributor.authorChinnaiyan, Arul M.en_US
dc.date.accessioned2010-10-06T14:55:46Z
dc.date.available2011-03-01T16:26:43Zen_US
dc.date.issued2010-10en_US
dc.identifier.citationYocum, Anastasia K.; Khan, Amjad P.; Zhao, Rong; Chinnaiyan, Arul M. (2010). "Development of selected reaction monitoring-MS methodology to measure peptide biomarkers in prostate cancer." PROTEOMICS 10(19): 3506-3514. <http://hdl.handle.net/2027.42/78063>en_US
dc.identifier.issn1615-9853en_US
dc.identifier.issn1615-9861en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/78063
dc.description.abstractProstate cancer is a leading cause of cancer-related death. The current modality of diagnosis, the measurement of serum PSA, not only suffers from lack of specificity, but does not distinguish clinical cases in which current treatment measures would be most successful, i.e . aggressive, life-threatening tumors. A multiplexed MS methodology, selected reaction monitoring-MS/MS coupled with stable isotope dilution (SID), was developed and tested in both cells lines and clinical tissue samples. Standard curves were generated for two peptides representing PSA and one peptide from each of two additional orthogonally validated biomarkers, AMACR and EZH2. The standard curves show high reproducibility, sensitivity, and good linearity. All four peptides were then measured in six clinically relevant cell lines and are in agreement with the biochemical characteristics of each individual cell line. The SID selected reaction monitoring-MS/MS methodology was then transferred to tissue samples, in which the assay shows potential to differentiate benign disease from localized cancer and localized cancer from aggressive metastatic disease. These results establish the preliminary development of a rational targeted MS platform that strives to bridge the gap between discovery and validation of biomarkers for the detection of prostate cancer.en_US
dc.format.extent588969 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherWILEY-VCH Verlagen_US
dc.subject.otherLife and Medical Sciencesen_US
dc.titleDevelopment of selected reaction monitoring-MS methodology to measure peptide biomarkers in prostate canceren_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelBiological Chemistryen_US
dc.subject.hlbsecondlevelChemical Engineeringen_US
dc.subject.hlbsecondlevelChemistryen_US
dc.subject.hlbsecondlevelMaterials Science and Engineeringen_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumMichigan Center for Translational Pathology, Ann Arbor, MI, USA ; Department of Pathology, University of Michigan, Ann Arbor, MI, USA ; Department of Urology, University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumMichigan Center for Translational Pathology, Ann Arbor, MI, USA ; Department of Pathology, University of Michigan, Ann Arbor, MI, USA ; Howard Hughes Medical Institute, University of Michigan Medical School, Ann Arbor, MI, USA ; Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI, USA ; Investigator, Howard Hughes Medical Institute, Department of Pathology and Urology, University of Michigan Medical School, 1400 E. Medical Center Drive, 5316 UMCCC, Ann Arbor, MI 48109, USA Fax: +1-734-615-4498en_US
dc.contributor.affiliationotherMichigan Center for Translational Pathology, Ann Arbor, MI, USAen_US
dc.contributor.affiliationotherMichigan Center for Translational Pathology, Ann Arbor, MI, USAen_US
dc.identifier.pmid20821805en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/78063/1/3506_ftp.pdf
dc.identifier.doi10.1002/pmic.201000023en_US
dc.identifier.sourcePROTEOMICSen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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