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Validation of reverse phase protein array for practical screening of potential biomarkers in serum and plasma: Accurate detection of CA19-9 levels in pancreatic cancer

dc.contributor.authorGrote, Tobiasen_US
dc.contributor.authorSiwak, Doris R.en_US
dc.contributor.authorFritsche, Herbert A.en_US
dc.contributor.authorJoy, Corwinen_US
dc.contributor.authorMills, Gordon B.en_US
dc.contributor.authorSimeone, Diane M.en_US
dc.contributor.authorWhitcomb, David C.en_US
dc.contributor.authorLogsdon, Craig D.en_US
dc.date.accessioned2008-08-27T20:04:26Z
dc.date.available2009-10-02T17:27:37Zen_US
dc.date.issued2008-08en_US
dc.identifier.citationGrote, Tobias; Siwak, Doris R.; Fritsche, Herbert A.; Joy, Corwin; Mills, Gordon B.; Simeone, Diane; Whitcomb, David C.; Logsdon, Craig D. (2008). "Validation of reverse phase protein array for practical screening of potential biomarkers in serum and plasma: Accurate detection of CA19-9 levels in pancreatic cancer." PROTEOMICS 8(15): 3051-3060. <http://hdl.handle.net/2027.42/60898>en_US
dc.identifier.issn1615-9853en_US
dc.identifier.issn1615-9861en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/60898
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=18615426&dopt=citationen_US
dc.description.abstractThe current study analyzed reverse phase protein arrays (RPPA) as a means to experimentally validate biomarkers in blood samples. One microliter samples of sera ( n  14= 1471), and plasma ( n  14= 1478) were serially diluted and printed on NC-coated slides. CA19-9 levels from RPPA results were compared with identical patient samples as measured by ELISA. There was a strong correlation between RPPA and ELISA ( r  14= 140.87) as determined by scatter plots. Sample reproducibility of CA19-9 levels was excellent (interslide correlation r  14= 140.88; intraslide correlation r  14= 140.83). The ability of RPPA to accurately distinguish CA19-9 levels between cancer and noncancer samples were determined using receiver operating characteristic curves and compared with ELISA. The AUC for RPPA and ELISA was comparable (0.87 and 0.86, respectively). When the mean CA19-9 levels of normal samples was used as a cutoff for RPPA and compared with the standard clinical ELISA cutoff, comparable specificities (71% for both) were observed. Notably, RPPA samples normalized to albumin showed increased sensitivity compared to ELISA (90% vs . 75%). As RPPA is a high-throughput method that shows results comparable to that of ELISA, we propose that RPPA is a viable technique for rapid experimental screening and validation of candidate biomarkers in blood samples.en_US
dc.format.extent427638 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.titleValidation of reverse phase protein array for practical screening of potential biomarkers in serum and plasma: Accurate detection of CA19-9 levels in pancreatic canceren_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbsecondlevelBiological Chemistryen_US
dc.subject.hlbsecondlevelChemical Engineeringen_US
dc.subject.hlbsecondlevelChemistryen_US
dc.subject.hlbsecondlevelMaterials Science and Engineeringen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Surgery, University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationotherDepartment of Cancer Biology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA ; Both authors contributed equally to this study.en_US
dc.contributor.affiliationotherDepartment of Systems Biology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USAen_US
dc.contributor.affiliationotherDepartment of Laboratory Medicine, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USAen_US
dc.contributor.affiliationotherDepartments of Bioinformatics and Computational Biology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USAen_US
dc.contributor.affiliationotherDepartment of Systems Biology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USAen_US
dc.contributor.affiliationotherDepartment of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USAen_US
dc.contributor.affiliationotherDepartment of Cancer Biology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA ; Department of GI Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA ; 1515 Holcombe, Unit 953, Houston, TX 77030-4009, USA Fax: +1-713-563-8986en_US
dc.identifier.pmid18615426en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/60898/1/3051_ftp.pdf
dc.identifier.doihttp://dx.doi.org/10.1002/pmic.200700951en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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