Identification of tumor-associated plasma biomarkers using proteomic techniques: From mouse to human

Hsueh Fen Juan, Jenn Han Chen, Wei Tse Hsu, Su Ching Huang, Shui Tein Chen, John Yi Chung Lin, Yu Wang Chang, Chih Yin Chiang, Li Li Wen, De Chuan Chan, Yao Chi Liu, Yu Ju Chen

Research output: Contribution to journalArticle

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Abstract

In an effort to identify tumor-associated proteins from plasma of tumor-bearing mice that may be used as diagnostic biomarkers, we developed a strategy that combines a tumor xenotransplantation model in nude mice with comparative proteomic technology. Five human cancer cell lines (SC-M1, HONE-1, CC-M1, OECM1, GBM 8401) derived from stomach, nasopharyngeal, colon, oral and brain cancers were subcutaneously inoculated into nude mice and compared to control nude mice injected with phosphate-buffered saline. One month later, plasma from mice inoculated with cancer cells was collected for proteomic analysis using two-dimensional gel electrophoresis (2-DE) and mass spectrometry (MS). Comparison of plasma 2-DE maps from tumor-bearing mice with those produced from control mice revealed the overexpression of several mouse acute phase proteins (APPs) such as haptoglobin. Another APP, serum amyloid A (SAA), was found only in mice bearing tumors induced by the stomach cancer cell line SC-M1, which has not previously been demonstrated in xenotransplatation experiment. Furthermore, by using immunohistochemistry, SAA and haptoglobin were found to originate from the mouse hosts and not from the human cancer cell line donors. The protein alterations were further confirmed on patients with stomach cancers where up-regulated levels of SAA were also observed. These results indicate that APPs may be used as nonspecific tumor-associated serum markers. SAA in particular may serve as a potential marker for detecting stomach cancer. Taken together, the combination of the xenotransplatation model in nude mice and proteomics analysis provided a valuable impact for clinical applications in cancer diagnostics. In addition, our findings demonstrate that a panel of APPs might serve as screening biomarkers for early cancer detection.

Original languageEnglish
Pages (from-to)2766-2775
Number of pages10
JournalProteomics
Volume4
Issue number9
DOIs
Publication statusPublished - Sep 2004
Externally publishedYes

Fingerprint

Biomarkers
Proteomics
Serum Amyloid A Protein
Tumors
Bearings (structural)
Acute-Phase Proteins
Plasmas
Cells
Neoplasms
Haptoglobins
Nude Mice
Stomach Neoplasms
Cell Line
Electrophoresis
Mass spectrometry
Blood Proteins
Brain
Nasopharyngeal Neoplasms
Screening
Gels

Keywords

  • Acute phase proteins
  • Nude mice
  • Serum amyloid A
  • Stomach cancer

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Cite this

Juan, H. F., Chen, J. H., Hsu, W. T., Huang, S. C., Chen, S. T., Lin, J. Y. C., ... Chen, Y. J. (2004). Identification of tumor-associated plasma biomarkers using proteomic techniques: From mouse to human. Proteomics, 4(9), 2766-2775. https://doi.org/10.1002/pmic.200400785

Identification of tumor-associated plasma biomarkers using proteomic techniques : From mouse to human. / Juan, Hsueh Fen; Chen, Jenn Han; Hsu, Wei Tse; Huang, Su Ching; Chen, Shui Tein; Lin, John Yi Chung; Chang, Yu Wang; Chiang, Chih Yin; Wen, Li Li; Chan, De Chuan; Liu, Yao Chi; Chen, Yu Ju.

In: Proteomics, Vol. 4, No. 9, 09.2004, p. 2766-2775.

Research output: Contribution to journalArticle

Juan, HF, Chen, JH, Hsu, WT, Huang, SC, Chen, ST, Lin, JYC, Chang, YW, Chiang, CY, Wen, LL, Chan, DC, Liu, YC & Chen, YJ 2004, 'Identification of tumor-associated plasma biomarkers using proteomic techniques: From mouse to human', Proteomics, vol. 4, no. 9, pp. 2766-2775. https://doi.org/10.1002/pmic.200400785
Juan, Hsueh Fen ; Chen, Jenn Han ; Hsu, Wei Tse ; Huang, Su Ching ; Chen, Shui Tein ; Lin, John Yi Chung ; Chang, Yu Wang ; Chiang, Chih Yin ; Wen, Li Li ; Chan, De Chuan ; Liu, Yao Chi ; Chen, Yu Ju. / Identification of tumor-associated plasma biomarkers using proteomic techniques : From mouse to human. In: Proteomics. 2004 ; Vol. 4, No. 9. pp. 2766-2775.
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