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Updated: Jul 12, 2026
08:08
Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
Cancer immunomics: from serological proteome analysis to multiple affinity protein profiling
Julie Hardouin1, Jean-Paul Lasserre, Loïk Sylvius
1Protein Biochemistry and Proteomics Laboratory, CNRS UMR 7033 (BioMoCeti), UFR SMBH Leonard de Vinci, University Paris13, 74, rue Marcel Cachin, 93017 Bobigny cedex, France.
Annals of the New York Academy of Sciences
|September 7, 2007
Summary
Researchers explored cancer immunomics to find autoantibody biomarkers for breast and colorectal cancers. They identified specific protein targets using SERological proteome analysis (SERPA) and MAPPing techniques.
Area of Science:
- Oncology
- Immunology
- Proteomics
Background:
- Cancer is a major global health challenge, necessitating the discovery of novel biomarkers.
- Autoantibodies can serve as potential biomarkers for early cancer detection.
Purpose of the Study:
- To identify autoantibody signatures associated with breast and colorectal cancers.
- To discover specific protein antigens recognized by cancer-associated autoantibodies.
Main Methods:
- Cancer immunomics approach combining SERological proteome analysis (SERPA) and multiple affinity protein profiling (MAPPing).
- SERPA involved 2-D electrophoresis, immunoblotting, image analysis, and mass spectrometry.
- MAPPing utilized 2-D immunoaffinity chromatography, enzymatic digestion, and nano flow separation for peptide identification.
Main Results:
- Identified proteins recognized by autoantibodies irrespective of cancer status.
- Discovered a subset of proteins that react preferentially with sera from cancer patients.
Conclusions:
- The study successfully identified potential autoantibody signatures and their corresponding protein antigens for breast and colorectal cancers.
- These findings contribute to the development of novel cancer biomarkers through immunomic approaches.
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