Quantitative Salivary Proteomics for Human Oral Cancer

描述（由申请人提供）：人类唾液是一种非常有吸引力的用于疾病诊断的体液，因为唾液检测具有几个关键优势，包括最低成本，非侵入性，易于样本采集和处理。在这个应用中，我们假设口腔癌患者的唾液含有特征蛋白，可以作为高度敏感和特异性检测口腔癌的生物标志物。有两个具体的目标来验证这一假设。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特征蛋白。目的2是验证目的1中发现的候选生物标志物，建立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。本研究的新颖之处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。这些研究将为人类口腔癌的检测提供高灵敏度和特异性的唾液生物标志物。这可能会导致在未来广泛使用唾液检测来诊断口腔癌。

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.