Quantitative Salivary Proteomics for Human Oral Cancer

人类口腔癌的定量唾液蛋白质组学

• 批准号: 7257324
• 负责人: SHEN HU
• 金额: $ 7.73万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-04-10 至 2009-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7257324
• 关键词: Biological Markers; Body Fluids; Cancer Detection; Cancer Patient; Clinical; Detection; Diagnostic; Disease; Feasibility Studies; Future; Goals; Human; Lead; Liquid Chromatography; Modeling; Oral Diagnosis; Patients; Personal Satisfaction; Process; Proteins; Proteome; Proteomics; Relative (related person); Saliva; Salivary; System; Technology; Testing; Translating; Validation; base; cancer diagnosis; cohort; cost; improved; malignant mouth neoplasm; novel diagnostics; sample collection; tandem mass spectrometry

DESCRIPTION (provided by applicant): 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.

描述（由申请人提供）：人类唾液对于疾病诊断是非常有吸引力的体液，因为唾液测试具有几个关键优势，包括最低成本、非侵入性和易于样品收集和处理。在本申请中，我们假设口腔癌患者的唾液中含有特征蛋白，可以作为生物标志物，用于高度敏感和特异性地检测口腔癌。有两个具体目标来检验这一假设。目的1是利用定量蛋白质组学平台iTRAQ和2-D LC-MS/MS来利用与人类口腔癌相关的唾液特征蛋白。目的2是验证目的1中发现的候选生物标志物，并建立用于口腔癌检测的多标志物预测模型。原理证明和可行性研究已经很好地证明了这一应用的各个方面。该提案的总体目标是发现唾液蛋白质生物标志物，然后将蛋白质组学发现转化为可用于口腔癌临床诊断的预测模型。这些研究的新奇在于利用新兴的蛋白质组学技术来探索一种新的癌症检测诊断系统。拟议的研究将开发用于人类口腔癌检测的高度敏感和特异性的唾液生物标志物。这可能会导致唾液检测在未来广泛用于口腔癌诊断。