Serum Peptidome Patterns of Colorectal Cancer Based on Magnetic Bead Separation and MALDI-TOF Mass Spectrometry Analysis.
Background. Colorectal cancer (CRC) is one of the most common cancers in the world, identification of biomarkers for early detection of CRC represents a relevant target. The present study aims to determine serum peptidome patterns for CRC diagnosis. Methods. The present work focused on serum proteom...
| Publicado en: | Journal of Biomedicine & Biotechnology Vol. 2012; pp. 1 - 9 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104297863&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104297863 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11107243 137K jtl: Journal of Biomedicine & Biotechnology issn: 11107243 maglogo: N pubinfo: dt: 2012 vid: 2012 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104297863 104297863 2011906785 NLM23091368 PMC3469310 104297863 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Serum Peptidome Patterns of Colorectal Cancer Based on Magnetic Bead Separation and MALDI-TOF Mass Spectrometry Analysis. aug: au: Nai-Jun Fan Chun-Fang Gao Xiu-Li Wang Guang Zhao Qing-Yin Liu Yuan-Yao Zhang Bao-Guo Cheng affil: Institute of Anal-Colorectal Surgery, No. 150 Hospital of PLA, LuoYang 471000, China sug: subj: Colorectal Neoplasms Blood Peptides Blood Colorectal Neoplasms Diagnosis Tumor Markers, Biological Blood Mass Spectrometry Proteomics Blood Proteins Analysis Immunoassay Diagnosis, Differential Cell Separation Methods Peptide Mapping Methods Male Female Descriptive Statistics Middle Age Aged Data Analysis Software T-Tests Chi Square Test Pilot Studies Funding Source Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Background. Colorectal cancer (CRC) is one of the most common cancers in the world, identification of biomarkers for early detection of CRC represents a relevant target. The present study aims to determine serum peptidome patterns for CRC diagnosis. Methods. The present work focused on serum proteomic analysis of 32 health volunteers and 38 CRC by ClinProt Kit combined with mass spectrometry. This approach allowed the construction of a peptide patterns able to differentiate the studied populations. An independent group of serum (including 33 health volunteers, 34 CRC, 16 colorectal adenoma, 36 esophageal carcinoma, and 31 gastric carcinoma samples) was used to verify the diagnostic and differential diagnostic capability of the peptidome patterns blindly. An immunoassaymethod was used to determine serumCEA of CRC and controls. Results. A quick classifier algorithm was used to construct the peptidome patterns for identification of CRC from controls. Two of the identified peaks at m/z 741 and 7772 were used to construct peptidome patterns, achieving an accuracy close to 100% (>CEA, P < 0.05). Furthermore, the peptidome patterns could differentiate validation group with high accuracy. Conclusions. These results suggest that the ClinProt Kit combined with mass spectrometry yields significantly higher accuracy for the diagnosis and differential diagnosis of CRC. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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