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The identification of phosphoglycerate kinase-1 and histone H4 autoantibodies in pancreatic cancer patient serum using a natural protein microarray

dc.contributor.authorPatwa, Tasneem H.en_US
dc.contributor.authorLi, Chenen_US
dc.contributor.authorPoisson, Laila M.en_US
dc.contributor.authorKim, Hye-Yeungen_US
dc.contributor.authorPal, Manojen_US
dc.contributor.authorGhosh, Debashisen_US
dc.contributor.authorSimeone, Diane M.en_US
dc.contributor.authorLubman, David M.en_US
dc.date.accessioned2009-08-12T15:37:18Z
dc.date.available2010-08-02T17:56:56Zen_US
dc.date.issued2009-06en_US
dc.identifier.citationPatwa, Tasneem H.; Li, Chen; Poisson, Laila M.; Kim, Hye-Yeung; Pal, Manoj; Ghosh, Debashis; Simeone, Diane M.; Lubman, David M. (2009). "The identification of phosphoglycerate kinase-1 and histone H4 autoantibodies in pancreatic cancer patient serum using a natural protein microarray." Electrophoresis 30(12): 2215-2226. <http://hdl.handle.net/2027.42/63569>en_US
dc.identifier.issn0173-0835en_US
dc.identifier.issn1522-2683en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/63569
dc.description.abstractProtein microarrays have been used to explore whether a humoral response to pancreatic cancer-specific tumor antigens has utility as a biomarker of pancreatic cancer. To determine if such arrays can be used to identify novel autoantibodies in the sera from pancreatic cancer patients, proteins from a pancreatic adenocarcinoma cell line (MIAPACA) were resolved by 2-D liquid-based separations, and then arrayed on nitrocellulose slides. The slides were probed with serum from a set of patients diagnosed with pancreatic cancer and compared with age- and sex-matched normal subjects. To account for patient-to-patient variability, we used a rank-based non-parametric statistical testing approach in which proteins eliciting significant differences in the humoral response in cancer compared with control samples were identified. The prediction analysis for microarrays classification algorithm was used to explore the classification power of the proteins found to be differentially expressed in cancer and control sera. The generalization error of the classification analysis was estimated using leave-one-out cross-validation. A serum diagnosis of pancreatic cancer in this set was predicted with 86.7% accuracy, with a sensitivity and specificity of 93.3 and 80%, respectively. Candidate autoantibody biomarkers identified using this approach were studied for their classification power by performing a humoral response experiment on recombinant proteins using an independent sample set of 238 serum samples. Phosphoglycerate kinase-1 and histone H4 were noted to elicit a significant differential humoral response in cancer sera compared with age- and sex-matched sera from normal patients and patients with chronic pancreatitis and diabetes. This work demonstrates the use of natural protein arrays to study the humoral response as a means to search for the potential markers of cancer in serum.en_US
dc.format.extent674720 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherWILEY-VCH Verlagen_US
dc.subject.otherChemistryen_US
dc.subject.otherBiochemistry and Biotechnologyen_US
dc.titleThe identification of phosphoglycerate kinase-1 and histone H4 autoantibodies in pancreatic cancer patient serum using a natural protein microarrayen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_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.hlbtoplevelEngineeringen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartment of Surgery, University of Michigan, Ann Arbor, MI, USA ; Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA ; Department of Surgery, University of Michigan, Ann Arbor, MI, USA ; Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI, USA ; Department of Surgery, University of Michigan, 1150 West Medical Center Drive, Room A510B MSRB I, Ann Arbor, MI 48109-0656, USA Fax: +1-734-615-2088en_US
dc.contributor.affiliationotherDepartment of Statistics, Pennsylvania State University, University Park, PA, USA ; Department of Public Health Sciences, Penn State, University Park, PA, USAen_US
dc.identifier.pmid19582723en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/63569/1/2215_ftp.pdf
dc.identifier.doi10.1002/elps.200800857en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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