Integrated Proteomic Analysis of Human Cancer Cells and Plasma from Tumor Bearing Mice for Ovarian Cancer Biomarker Discovery

Integrated Proteomic Analysis of Human Cancer Cells and Plasma from Tumor Bearing Mice for Ovarian Cancer Biomarker Discovery

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Integrated Proteomic Analysis of Human Cancer Cells and Plasma from Tumor Bearing Mice for Ovarian Cancer Biomarker Discovery

dc.contributor.author	Pitteri, Sharon J.
dc.contributor.author	JeBailey, Lellean
dc.contributor.author	Faça, Vitor M.
dc.contributor.author	Thorpe, Jason D.
dc.contributor.author	Silva, Melissa A.
dc.contributor.author	Ireton, Reneé C.
dc.contributor.author	Horton, Marc B.
dc.contributor.author	Pruitt, Liese C.
dc.contributor.author	Urban, Nicole
dc.contributor.author	Hanash, Samir M.
dc.contributor.author	Nordheim, Alfred
dc.contributor.author	Wang, Hong
dc.contributor.author	Zhang, Qing
dc.contributor.author	Cheng, Yu-Kang
dc.contributor.author	Dinulescu, Daniela M
dc.date.accessioned	2011-05-19T20:09:05Z
dc.date.issued	2009
dc.identifier.citation	Pitteri, Sharon J., Lellean JeBailey, Vitor M. Faça, Jason D. Thorpe, Melissa A. Silva, Reneé C. Ireton, Marc B. Horton, et al. 2009. Integrated Proteomic Analysis of Human Cancer Cells and Plasma from Tumor Bearing Mice for Ovarian Cancer Biomarker Discovery. PLoS ONE 4(11): e7916.	en_US
dc.identifier.issn	1932-6203	en_US
dc.identifier.uri	http://nrs.harvard.edu/urn-3:HUL.InstRepos:4892364
dc.description.abstract	Background: The complexity of the human plasma proteome represents a substantial challenge for biomarker discovery. Proteomic analysis of genetically engineered mouse models of cancer and isolated cancer cells and cell lines provide alternative methods for identification of potential cancer markers that would be detectable in human blood using sensitive assays. The goal of this work is to evaluate the utility of an integrative strategy using these two approaches for biomarker discovery. Methodology/Principal Findings: We investigated a strategy that combined quantitative plasma proteomics of an ovarian cancer mouse model with analysis of proteins secreted or shed by human ovarian cancer cells. Of 106 plasma proteins identified with increased levels in tumor bearing mice, 58 were also secreted or shed from ovarian cancer cells. The remainder consisted primarily of host-response proteins. Of 25 proteins identified in the study that were assayed, 8 mostly secreted proteins common to mouse plasma and human cancer cells were significantly upregulated in a set of plasmas from ovarian cancer patients. Five of the eight proteins were confirmed to be upregulated in a second independent set of ovarian cancer plasmas, including in early stage disease. Conclusions/Significance: Integrated proteomic analysis of cancer mouse models and human cancer cell populations provides an effective approach to identify potential circulating protein biomarkers.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Public Library of Science	en_US
dc.relation.isversionof	doi:10.1371/journal.pone.0007916	en_US
dc.relation.hasversion	http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2775948/pdf/	en_US
dash.license	LAA
dc.subject	biotechnology	en_US
dc.subject	protein chemistry and proteomics	en_US
dc.subject	oncology	en_US
dc.subject	gynecological cancers	en_US
dc.subject	women's health	en_US
dc.title	Integrated Proteomic Analysis of Human Cancer Cells and Plasma from Tumor Bearing Mice for Ovarian Cancer Biomarker Discovery	en_US
dc.type	Journal Article	en_US
dc.description.version	Version of Record	en_US
dc.relation.journal	PLoS ONE	en_US
dash.depositing.author	Cheng, Yu-Kang
dc.date.available	2011-05-19T20:09:05Z
dash.affiliation.other	SPH^Biostatistics	en_US
dash.affiliation.other	HMS^Pathology	en_US