Enhanced Interferon Signaling Pathway in Oral Cancer Revealed by Quantitative Proteome Analysis of Microdissected Specimens Using 16O/18O Labeling and Integrated Two-dimensional LC-ESI-MALDI Tandem MS

Oral squamous cell carcinoma (OSCC) remains one of the most common cancers worldwide, and the mortality rate of this disease has increased in recent years. No molecular markers are available to assist with the early detection and therapeutic evaluation of OSCC; thus, identification of differentially...

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Published in:Molecular & cellular proteomics 2009-07, Vol.8 (7), p.1453-1474
Main Authors: Chi, Lang-Ming, Lee, Chien-Wei, Chang, Kai-Ping, Hao, Sheng-Po, Lee, Hang-Mao, Liang, Ying, Hsueh, Chuen, Yu, Chia-Jung, Lee, I-Neng, Chang, Yin-Ju, Lee, Shih-Ying, Yeh, Yuan-Ming, Chang, Yu-Sun, Chien, Kun-Yi, Yu, Jau-Song
Format: Article
Language:English
Subjects:
Biomarkers, Tumor - metabolism
Carcinoma, Squamous Cell - chemistry
Carcinoma, Squamous Cell - metabolism
Carcinoma, Squamous Cell - pathology
Cell Line, Tumor
Chromatography, Liquid - methods
Databases, Protein
Gene Expression Regulation, Neoplastic
Humans
Immunohistochemistry
Interferons - metabolism
Male
Microdissection
Molecular Sequence Data
Mouth Neoplasms - chemistry
Mouth Neoplasms - metabolism
Mouth Neoplasms - pathology
Neoplasm Proteins - genetics
Neoplasm Proteins - metabolism
Oxygen Isotopes - metabolism
Proteome - analysis
Signal Transduction - physiology
Spectrometry, Mass, Electrospray Ionization - methods
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods
Tandem Mass Spectrometry - methods
Tissue Array Analysis
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Summary:Oral squamous cell carcinoma (OSCC) remains one of the most common cancers worldwide, and the mortality rate of this disease has increased in recent years. No molecular markers are available to assist with the early detection and therapeutic evaluation of OSCC; thus, identification of differentially expressed proteins may assist with the detection of potential disease markers and shed light on the molecular mechanisms of OSCC pathogenesis. We performed a multidimensional 16O/18O proteomics analysis using an integrated ESI-ion trap and MALDI-TOF/TOF MS system and a computational data analysis pipeline to identify proteins that are differentially expressed in microdissected OSCC tumor cells relative to adjacent non-tumor epithelia. We identified 1233 unique proteins in microdissected oral squamous epithelia obtained from three pairs of OSCC specimens with a false discovery rate of
ISSN:1535-9476
1535-9484
1535-9484
DOI:10.1074/mcp.M800460-MCP200