Abstract

Human saliva is a very attractive body fluid for disease diagnostics because saliva testing has several key advantages including minimum cost, non-invasiveness, and easy sample collection and processing. In this application, we hypothesize that saliva from oral cancer patients contains signature proteins that can serve as biomarkers for highly sensitive and specific detection of oral cancer.
Two specific aims are in place to test the hypothesis.
Aim 1 is to engage a quantitative proteomics platform, iTRAQ and 2-D LC-MS/MS, to harness saliva signature proteins associated with human oral cancer.
Aim 2 is to validate the candidate biomarkers discovered in Aim 1 and build multi-marker prediction models for oral cancer detection. Proof of principle and feasibility studies have been well demonstrated for all aspects of this application. The overarching goal of the proposal is to discover saliva protein biomarkers and then translate the proteomic discoveries into prediction models that can be used for clinical diagnosis of oral cancer. The novelty of the proposed studies lies in the utilization of an emerging proteomics technology to explore a new diagnostic system for cancer detection. The proposed studies will develop highly sensitive and specific saliva biomarkers for human oral cancer detection. It may lead to extensive use of saliva testing for oral cancer diagnosis in the future. ? ? ?

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Dental & Craniofacial Research (NIDCR)
Type
Small Research Grants (R03)
Project #
5R03DE017144-02
Application #
7404546
Study Section
NIDCR Special Grants Review Committee (DSR)
Program Officer
Shirazi, Yasaman
Project Start
2007-04-10
Project End
2010-03-31
Budget Start
2008-04-01
Budget End
2010-03-31
Support Year
2
Fiscal Year
2008
Total Cost
$76,400
Indirect Cost

  Institution

Name
University of California Los Angeles
Department
Dentistry
Type
Schools of Dentistry
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095

  Publications

Hu, Shen; Gao, Kai; Pollard, Rodney et al. (2010) Preclinical validation of salivary biomarkers for primary Sjögren's syndrome. Arthritis Care Res (Hoboken) 62:1633-8
Hu, Shen; Jiang, Jiang; Wong, David T (2010) Proteomic analysis of saliva: 2D gel electrophoresis, LC-MS/MS, and Western blotting. Methods Mol Biol 666:31-41
Liu, Yi; Messadi, Diana V; Wu, Hongkun et al. (2010) Oral lichen planus is a unique disease model for studying chronic inflammation and oral cancer. Med Hypotheses 75:492-4
Hu, Shen; Zhou, Michael; Jiang, Jiang et al. (2009) Systems biology analysis of Sjögren's syndrome and mucosa-associated lymphoid tissue lymphoma in parotid glands. Arthritis Rheum 60:81-92
Arellano, Martha; Jiang, Jiang; Zhou, Xiaofeng et al. (2009) Current advances in identification of cancer biomarkers in saliva. Front Biosci (Schol Ed) 1:296-303
Jiang, Jiang; Park, Noh Jin; Hu, Shen et al. (2009) A universal pre-analytic solution for concurrent stabilization of salivary proteins, RNA and DNA at ambient temperature. Arch Oral Biol 54:268-73
Hu, Shen; Arellano, Martha; Boontheung, Pinmanee et al. (2008) Salivary proteomics for oral cancer biomarker discovery. Clin Cancer Res 14:6246-52
Arellano-Garcia, M E; Hu, S; Wang, J et al. (2008) Multiplexed immunobead-based assay for detection of oral cancer protein biomarkers in saliva. Oral Dis 14:705-12
Hu, Shen; Wong, David T (2007) Oral cancer proteomics. Curr Opin Mol Ther 9:467-76
Hu, Shen; Yen, Yun; Ann, David et al. (2007) Implications of salivary proteomics in drug discovery and development: a focus on cancer drug discovery. Drug Discov Today 12:911-6

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