Proteomics-based identification of haptoglobin as a novel plasma biomarker in oral squamous cell carcinoma

Chih Ho Lai, Nai Wen Chang, Chin Fen Lin, Chia Der Lin, Ying Ju Lin, Lei Wan, Jim Jinn Chyuan Sheu, Shih Yin Chen, Yi Ping Huang, Yu Ting Sing, Tse Wen Tao, Cheng Kuo Lai, Ming Hsui Tsai, Hong Lin Chan, Yu Jen Jou, Cheng Wen Lin*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

35 Scopus citations

Abstract

Background: Identification of tumor biomarkers to assist early diagnosis and monitoring of disease progression may potentially decrease the mortality and morbidity associated with oral cancer. Methods: A mouse model with oral squamous cell carcinoma (OSCC) induced by 4-nitroquinoline 1-oxide (4-NQO)/arecoline in drinking water was established to discover stage-associated biomarkers. A proteomics approach, immunoblot and immunohistochemical analysis were used to validate the expressed biomarkers in mice with OSCC. Human plasma samples were also collected and candidate biomarkers were evaluated using enzyme-linked immunosorbent assay. Results: Proteomic profiling of mouse plasma samples indicated that haptoglobin and apolipoprotein A1 precursor were up-regulated in the mice with OSCC. Immunoblotting of plasma samples and immunohistochemical analysis of oral tissues showed a significantly higher level of haptoglobin in the OSCC mice than in the control mice. The expression of haptoglobin in human plasma samples from 52 patients with OSCC indicated a strong correlation between the increasing levels of haptoglobin and the clinical stages of OSCC (P<0.01). Conclusions: These results suggest that haptoglobin has a great potential as a sensitive plasma biomarker for early detection of patients with OSCC.

Original languageEnglish
Pages (from-to)984-991
Number of pages8
JournalClinica Chimica Acta
Volume411
Issue number13-14
DOIs
StatePublished - 07 2010
Externally publishedYes

Keywords

  • Biomarkers
  • Haptoglobin
  • Oral squamous cell carcinoma
  • Proteomic analysis

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