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.
Publication types
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Research Support, Non-U.S. Gov't
MeSH terms
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Biomarkers / chemistry*
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Biomarkers, Tumor
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Cell Line, Tumor
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Electrophoresis, Gel, Two-Dimensional
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Epithelium / metabolism
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Gastric Mucosa / metabolism
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Gene Expression Regulation, Neoplastic*
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Humans
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Immunohistochemistry
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Lasers
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Mass Spectrometry
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Pepsinogen C / chemistry*
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Peptide Mapping
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Protein Array Analysis
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Proteome*
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Proteomics / methods*
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Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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Stomach Neoplasms / metabolism*
Substances
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Biomarkers
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Biomarkers, Tumor
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Proteome
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Pepsinogen C