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Commentary

Maximizing early detection of esophageal squamous cell carcinoma via SILAC-proteomics

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Pages 811-813 | Published online: 15 Oct 2010

References

  • Bird-Lieberman EL, Fitzgerald RC. Early diagnosis of oesophageal cancer. Br J Cancer 2009; 101:1 - 6
  • Endo M, Kawano T. Detection and classification of early squamous cell esophageal cancer. Dis Esophagus 1997; 10:155 - 158
  • Kranzfelder M, Buchler P, Lange K, Friess H. Treatment options for squamous cell cancer of the esophagus: a systematic review of the literature. J Am Coll Surg 2010; 210:351 - 359
  • Zhou G, Li H, DeCamp D, Chen S, Shu H, Gong Y, et al. 2D differential in-gel electrophoresis for the identification of esophageal scans cell cancer-specific protein markers. Mol Cell Proteomics 2002; 1:117 - 124
  • Yang YF, Li H, Xu XQ, Diao YT, Fang XQ, Wang Y, et al. An expression of squamous cell carcinoma antigen 2 in peripheral blood within the different stages of esophageal carcinogenesis. Dis Esophagus 2008; 21:395 - 401
  • Kubota M, Yamana H, Sueyoshi S, Fujita H, Shirouzu K. The significance of telomerase activity in cancer lesions and the noncancerous epithelium of the esophagus. Int J Clin Oncol 2002; 7:32 - 37
  • Bacus JW, Bacus JV, Stoner GD, Moon RC, Kelloff GJ, Boone CW, et al. Quantitation of preinvasive neoplastic progression in animal models of chemical carcinogenesis. J Cell Biochem Suppl 1997; 28:21 - 38
  • Walter P, Gilmore R, Blobel G. Protein translocation across the endoplasmic reticulum. Cell 1984; 38:5 - 8
  • Tirumalai RS, Chan KC, Prieto DA, Issaq HJ, Conrads TP, Veenstra TD. Characterization of the low molecular weight human serum proteome. Mol Cell Proteomics 2003; 2:1096 - 1103
  • Issaq HJ, Conrads TP, Prieto DA, Tirumalai R, Veenstra TD. SELDI-TOF MS for diagnostic proteomics. Anal Chem 2003; 75:148 - 155
  • Volmer MW, Radacz Y, Hahn SA, Klein-Scory S, Stühler K, Zapatka M, et al. Tumor suppressor Smad4 mediates downregulation of the anti-adhesive invasion-promoting matricellular protein SPARC: Landscaping activity of Smad4 as revealed by a “secretome” analysis. Proteomics 2004; 4:1324 - 1334
  • Kulasingam V, Diamandis EP. Proteomics analysis of conditioned media from three breast cancer cell lines: a mine for biomarkers and therapeutic targets. Mol Cell Proteomics 2007; 6:1997 - 2011
  • Lou X, Xiao T, Zhao K, Wang H, Zheng H, Lin D, et al. Cathepsin D is secreted from M-BE cells: its potential role as a biomarker of lung cancer. J Proteome Res 2007; 6:1083 - 1092
  • Weng LP, Wu CC, Hsu BL, Chi LM, Liang Y, Tseng CP, et al. Secretome-based identification of Mac-2 binding protein as a potential oral cancer marker involved in cell growth and motility. J Proteome Res 2008; 7:3765 - 3775
  • Fujita Y, Nakanishi T, Hiramatsu M, Mabuchi H, Miyamoto Y, Miyamoto A, et al. Proteomics-based approach identifying autoantibody against peroxiredoxin VI as a novel serum marker in esophageal squamous cell carcinoma. Clin Cancer Res 2006; 12:6415 - 6420
  • Fujita Y, Nakanishi T, Miyamoto Y, Hiramatsu M, Mabuchi H, Miyamoto A, et al. Proteomics-based identification of autoantibody against heat shock protein 70 as a diagnostic marker in esophageal squamous cell carcinoma. Cancer Lett 2008; 263:280 - 290
  • Pimienta G, Chaerkady R, Pandey A. SILAC for global phosphoproteomic analysis. Methods Mol Biol 2009; 527:107 - 116
  • Ong SE, Foster LJ, Mann M. Mass spectrometric-based approaches in quantitative proteomics. Methods 2003; 29:124 - 130
  • Ong SE, Blagoev B, Kratchmarova I, Kristensen DB, Steen H, Pandey A, et al. Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics. Mol Cell Proteomics 2002; 1:376 - 386
  • Kashyap MK. SILAC-based quantitative proteomic approach to identify potential biomarkers from the esophageal squamous cell carcinoma secretome. Cancer Biol Ther 2010; 10:796 - 810
  • Krijgsveld J, Ketting RF, Mahmoudi T, Johansen J, Artal-Sanz M, Verrijzer CP, et al. Metabolic labeling of C. elegans and D. melanogaster for quantitative proteomics. Nat Biotechnol 2003; 21:927 - 931
  • Kruger M, Moser M, Ussar S, Thievessen I, Luber CA, Forner F, et al. SILAC mouse for quantitative proteomics uncovers kindlin-3 as an essential factor for red blood cell function. Cell 2008; 134:353 - 364

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