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Identification of over-expressed proteins in oral squamous cell carcinoma (OSCC) patients by clinical proteomic analysis

  • Wan Yu Lo
  • , Ming Hsui Tsai
  • , Yuhsin Tsai
  • , Chun Hung Hua
  • , Fuu Jen Tsai
  • , Shiuan Yi Huang
  • , Chang Hai Tsai
  • , Chien Chen Lai*
  • *Corresponding author for this work
  • China Medical University Taichung
  • Asia University Taiwan
  • National Chung Hsing University

Research output: Contribution to journal › Journal Article › peer-review

130 Scopus citations

Abstract

Background: Oral cancer is a worldwide problem. It is a universal aggressive disease in the population of smoking and drinking. The oral cancer mortality has been ranked 5th place in Taiwan in male cancer patients. A number of protein markers for oral cancer are still not applicable in large populations. Proteomic technologies provide excellent tools for rapid screening of a large number of potential biomarkers in malignant cells. Method: Proteomics and real-time quantitative RT-PCR were used to analyze over-expressed proteins in 10 OSCC patients. Result: Forty-one proteins were identified as commonly over-expressed in OSCC tissues. In OSCC tissues, αB-crystallin, tropomyosin 2, myosin light chain 1, heat shock protein 27 (HSP27), stratifin, thioredoxin-dependent peroxide reductase, flavin reductase, vimentin, rho GDP-dissociation inhibitor 2 (rho GDI-2), glutathione S-transferase Pi (GST-pi) and superoxide dismutase [Mn] (MnSOD) were significantly over-expressed (an average of 7.2, 6.0, 5.7, 4.3, 3.6, 3.4, 3.0, 3.0, 2.6, 2.5, 2.1-fold, respectively). In real-time quantitative RT-PCR analysis, the gene expressions of αB-crystallin, HSP27 and MnSOD were also increased in the cancer tissues, consistent with proteomic results. Conclusion: The identified proteins in this experiment may be used in future studies of carcinogenesis or as diagnostic markers and therapeutic targets for OSCC.

Original languageEnglish
Pages (from-to)101-107
Number of pages7
JournalClinica Chimica Acta
Volume376
Issue number1-2
DOIs
StatePublished - 01 02 2007
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • LC-MS/MS
  • Oral cancer
  • Oral squamous cell carcinoma (OSCC)
  • Proteomics
  • Real-time quantitative RT-PCR

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