Characterization of pepsinogen C as a potential biomarker for gastric cancer using a histo-proteomic approach.

Abstract

We analyzed 74 cryostat sections of central gastric tumor, tumor margin, and normal gastric epithelium using ProteinChip Arrays and SELDI-TOF MS. One peak was significantly down-regulated in tumor tissue (P = 1.43 x 10(-6)) and identified as pepsinogen C using MS/MS analysis and immunodepletion. This signal was further characterized by immunohistochemistry. This work demonstrates that differentially expressed signals can be identified and assessed using a proteomic approach comprising tissue-microdissection, protein profiling, and immunohistochemistry.

• Authors: Christian Melle, Günther Ernst, Bettina Schimmel, Annett Bleul, Roland Kaufmann, Merten Hommann, Konrad K Richter, Wolfgang Daffner, Utz Settmacher, Uwe Claussen, Ferdinand von Eggeling
• Journal: Journal of proteome research (J Proteome Res) 2005 Sep-Oct Vol. 4 Issue 5 Pg. 1799-804 ISSN: 1535-3893 [Print] United States
• PMID: 16212435 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Chemical References

• Biomarkers
• Biomarkers, Tumor
• Proteome
• Pepsinogen C

Topics

• Biomarkers (chemistry)
• Biomarkers, Tumor
• Cell Line, Tumor
• Electrophoresis, Gel, Two-Dimensional
• Epithelium (metabolism)
• Gastric Mucosa (metabolism)
• Gene Expression Regulation, Neoplastic
• Humans
• Immunohistochemistry
• Lasers
• Mass Spectrometry
• Pepsinogen C (chemistry)
• Peptide Mapping
• Protein Array Analysis
• Proteome
• Proteomics (methods)
• Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
• Stomach Neoplasms (metabolism)