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中文摘要
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描述(由申请人提供):检测口腔癌的存在和预测哪种口腔癌前病变将最终发展为癌症的能力将降低这种可怕的癌症的死亡率和发病率,这种癌症在美国占30,000例新癌症病例,在全世界占350,000例。只有20%的口腔癌前病变进展为癌症,目前还没有临床、形态学或分子参数可以预测口腔癌前病变的恶性进展。该建议建立在我们最近的数据基础上,即标记转录组和蛋白质组生物标志物存在于口腔癌患者的唾液中。我们假设唾液转录组和蛋白质组特征可以从进展性口腔癌患者的唾液中利用,这将使他们与非进展性口腔癌前病变区分开来。 有三个具体目标来检验假设。目的1是利用唾液转录组和蛋白质组学诊断生物标志物,从口腔癌患者和患者进行口腔癌前病变。AIM 2和3构成EDRN检测研究的第II和III阶段,以验证/训练/构建预测模型,并分别测试口腔癌和进展性口腔癌前病变唾液检测的预测模型。 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志物将满足这些评估的严格性,并成为口腔癌检测以及非侵入性生物流体唾液中口腔癌早期检测的高度特异性、高度敏感的生物标志物。 公共卫生相关性:该研究项目将导致唾液生物标志物的发现,可用于口腔癌的早期检测以及预测口腔癌前病变是否会变成癌症。
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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