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中文摘要
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描述(申请人提供):能够检测口腔癌的存在,并预测哪一种口腔癌前病变最终会发展为癌症,这将降低这种可怕的癌症的死亡率和发病率,美国新增癌症病例为30,000例,全球为350,000例。仅有20%的口腔癌前病变进展为癌症,目前尚无临床、形态或分子参数可预测口腔癌前病变的恶性进展。这一建议建立在我们最近的数据基础上,即口腔癌患者的唾液中存在签名转录组和蛋白质组生物标记物。我们假设,唾液转录组和蛋白质组特征可以从进展期口腔癌患者的唾液中获得,这将把他们与非进展期口腔癌前病变区分开来。 有三个具体的目标来检验这一假设。目的1是利用口腔癌患者和口腔癌前病变患者的唾液转录组和蛋白质组诊断生物标记物。AIMS 2和3构成EDRN检测研究的第二阶段和第三阶段,分别验证/训练/建立预测模型,并测试口腔癌和进展性口腔癌前病变的唾液检测预测模型。 这三个目标的成功完成将构成口腔癌和癌前诊断的重要进步。我们乐观地认为,唾液转录组和蛋白质组生物标记物将满足这些评估的严格要求,并将成为口腔癌检测以及非侵入性生物液体唾液中口腔癌早期检测的高特异性、高灵敏度生物标记物。 公共卫生相关性:这项研究项目将导致发现唾液生物标志物,这些生物标志物可以用于口腔癌的早期检测,以及预测口腔癌前病变是否会成为癌症。
英文摘要
DESCRIPTION (provided by applicant): The ability to detect the presence of oral cancer and to predict which oral precancer will eventuate to cancer will reduce the mortality and morbidity of this dreadful cancer, which accounts for 30,000 new cancer cases in the United States and 350,000 worldwide. Only 20% of oral precancers progress to cancer and currently there is no clinical, morphological or molecular parameter that can predict the malignant progression of oral precancers. This proposal builds on our recent data that signature transcriptome and proteomic biomarkers are present in saliva of oral cancer patients. We hypothesize that salivary transcriptome and proteomic signatures can be harnessed from saliva of progressing oral cancer patients that will distinguish them from non-progressing oral precancers. Three Specific Aims are in place to test the hypothesis. AIM 1 is to harness the salivary transcriptome and proteomic diagnostic biomarkers from oral cancer patients and patients with progressing oral precancers. AIMs 2 and 3 constitute phases II and III of EDRN detection studies to validate/train/build prediction models and testing the prediction models for saliva detection of oral cancer and progressing oral precancers respectively. The successful completion of these three Aims will constitute an important advancement of oral cancer and precancer diagnostics. We are optimistic that the salivary transcriptome and proteomic biomarkers will meet the rigor of these evaluations and emerge as highly specific, highly sensitive biomarkers for oral cancer detection as well as the early detection of oral cancer in the non- invasive biofluid, saliva. PUBLIC HEALTH RELEVANCE: This research project will lead to the discovery of saliva biomarkers that can be used for early detection of oral cancer as well as predicting if an oral precancer will become a cancer.
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Clinical Utility of Salivary ExRNA Biomarkers for Gastric Cancer Detection
Clinical Utility of Salivary ExRNA Biomarkers for Gastric Cancer Detection
UCLA Dentist-Scientist and Oral Health-Researcher Training Program
UCLA Dentist-Scientist and Oral Health-Researcher Training Program
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