SILAC-based quantitative proteomic approach to identify potential biomarkers from the esophageal squamous cell carcinoma secretome

Cancer Biol Ther. 2010 Oct 15;10(8):796-810. doi: 10.4161/cbt.10.8.12914. Epub 2010 Oct 15.

Abstract

The identification of secreted proteins that are differentially expressed between non-neoplastic and esophageal squamous cell carcinoma (ESCC) cells can provide potential biomarkers of ESCC. We used a SILAC-based quantitative proteomic approach to compare the secretome of ESCC cells with that of non-neoplastic esophageal squamous epithelial cells. Proteins were resolved by SDS-PAGE, and tandem mass spectrometry analysis (LC-MS/MS) of in-gel trypsin-digested peptides was carried out on a high-accuracy qTOF mass spectrometer. In total, we identified 441 proteins in the combined secretomes, including 120 proteins with > 2-fold upregulation in the ESCC secretome vs. that of non-neoplastic esophageal squamous epithelial cells. In this study, several potential protein biomarkers previously known to be increased in ESCC including matrix metalloproteinase 1, transferrin receptor, and transforming growth factor beta-induced 68 kDa were identified as overexpressed in the ESCC-derived secretome. In addition, we identified several novel proteins that have not been previously reported to be associated with ESCC. Among the novel candidate proteins identified, protein disulfide isomerase family a member 3 (PDIA3), GDP dissociation inhibitor 2 (GDI2), and lectin galactoside binding soluble 3 binding protein (LGALS3BP) were further validated by immunoblot analysis and immunohistochemical labeling using tissue microarrays. This tissue microarray analysis showed overexpression of protein disulfide isomerase family a member 3, GDP dissociation inhibitor 2, and lectin galactoside binding soluble 3 binding protein in 93%, 93% and 87% of 137 ESCC cases, respectively. Hence, we conclude that these potential biomarkers are excellent candidates for further evaluation to test their role and efficacy in the early detection of ESCC.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Amino Acids / chemistry
  • Amino Acids / metabolism
  • Biomarkers, Tumor / analysis*
  • Biomarkers, Tumor / metabolism
  • Blotting, Western
  • Carbon Isotopes / chemistry
  • Carcinoma, Squamous Cell / metabolism*
  • Carcinoma, Squamous Cell / pathology
  • Cell Line
  • Cell Line, Tumor
  • Chromatography, Liquid
  • Electrophoresis, Polyacrylamide Gel
  • Esophageal Neoplasms / metabolism*
  • Esophageal Neoplasms / pathology
  • Humans
  • Immunohistochemistry
  • Isotope Labeling / methods
  • Mass Spectrometry / methods
  • Middle Aged
  • Nitrogen Isotopes / chemistry
  • Proteome / analysis*
  • Proteome / metabolism
  • Proteomics / methods*
  • Tissue Array Analysis

Substances

  • Amino Acids
  • Biomarkers, Tumor
  • Carbon Isotopes
  • Nitrogen Isotopes
  • Proteome