Quantitative Salivary Proteomics for Human Oral Cancer

描述(申请人提供)：人类唾液是一种非常有吸引力的疾病诊断体液，因为唾液检测具有几个关键优点，包括最低成本，非侵入性，以及易于样本收集和处理。在这一应用中，我们假设口腔癌患者的唾液中含有签名蛋白质，这些蛋白质可以作为高度敏感和特异的口腔癌检测的生物标志物。有两个具体的目标来检验这一假设。目标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签名蛋白质。目的2是验证在目标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。这一应用的所有方面都充分证明了原则的证明和可行性研究。该提案的首要目标是发现唾液蛋白生物标记物，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。拟议研究的新颖性在于利用一种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。这项拟议的研究将开发高度敏感和特异的唾液生物标志物，用于检测人类口腔癌。这可能会导致唾液检测在未来口腔癌诊断中的广泛使用。

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.