Comparative Proteomics Applied to the Avian Model of Ovarian Cancer

比较蛋白质组学在禽类卵巢癌模型中的应用

• 批准号: 8599536
• 负责人: Adam M Hawkridge
• 金额: $ 4.63万
• 依托单位: VIRGINIA COMMONWEALTH UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-15 至 2013-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8599536
• 关键词: Comparative; Proteomics; Applied; Avian; Model

DESCRIPTION (provided by applicant): Currently, there are no reliable diagnostic biomarkers for the early detection of ovarian cancer in humans. Advanced proteomics technology now exists to comprehensively investigate and discover diagnostic biomarkers in complex biological samples such as plasma and tissue. However, a major barrier to identifying candidate biomarkers in human ovarian cancer has been a lack of suitable patient samples from which to study. The domestic hen has emerged as one of the few animal models for ovarian cancer due to its spontaneous formation of tumors at two years of age. This predictability along with the widespread availability of animal specimens makes the hen a viable model for studying the onset and progression of ovarian cancer. Herein we propose to study the domestic hen proteome as a function of time using advanced mass spectrometry and proteomics technology to elucidate candidate biomarkers predicative of ovarian cancer. The ultimate goal is to translate these findings into human ovarian cancer where biological variability is much higher. During the course of this proposal, the principal investigator will be trained in multiple areas of biological sciences in an effort to transition him into an independent scientist. Public Description of Research Project. Ovarian cancer is a devastating disease that goes mostly undetected until the advanced stages where survival rates are poor. Early diagnostic tests are desperately needed to curb the mortality rates from ovarian cancer. This proposal seeks to identify blood-borne protein biomarkers that can be used for early diagnosis in ovarian cancer patients.

描述（由申请人提供）：目前，没有可靠的诊断性生物标志物用于人类卵巢癌的早期检测。先进的蛋白质组学技术现在可以在复杂的生物样品（如血浆和组织）中全面研究和发现诊断性生物标志物。然而，确定人类卵巢癌候选生物标志物的主要障碍是缺乏合适的患者样本进行研究。国内的母鸡在两岁时就能自发形成肿瘤，是为数不多的卵巢癌动物模型之一。这种可预测性以及动物标本的广泛可用性使母鸡成为研究卵巢癌发生和进展的可行模型。在此，我们建议使用先进的质谱和蛋白质组学技术来研究国内母鸡蛋白质组作为时间的函数，以阐明预测卵巢癌的候选生物标志物。最终目标是将这些发现转化为生物变异性更高的人类卵巢癌。在此提案的过程中，首席研究员将接受生物科学多个领域的培训，努力将他转变为一名独立的科学家。

项目成果

The chicken model of spontaneous ovarian cancer.

• DOI: 10.1002/prca.201300135
• 发表时间: 2014-10
• 期刊: Proteomics. Clinical applications
• 作者: Hawkridge AM

Measuring the intra-individual variability of the plasma proteome in the chicken model of spontaneous ovarian adenocarcinoma.

• DOI: 10.1007/s00216-010-3979-y
• 发表时间: 2010-09
• 期刊: ANALYTICAL AND BIOANALYTICAL CHEMISTRY
• 影响因子: 4.3
• 作者: Hawkridge, Adam M.;Wysocky, Rebecca B.;Petitte, James N.;Anderson, Kenneth E.;Mozdziak, Paul E.;Fletcher, Oscar J.;Horowitz, Jonathan M.;Muddiman, David C.
• 通讯作者: Muddiman, David C.