c-Met Mediated Ovarian Cancer Cell Motility

c-Met 介导的卵巢癌细胞运动

基本信息

  • 批准号:
    7488529
  • 负责人:
  • 金额:
    $ 7.25万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-09-01 至 2009-08-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): In ovarian cancer, as in most other solid tumor, metastatic disease rather than the primary lesion is the most common cause of death of the majority of patients. Dysregulated HGF/c-Met signaling of cell migration has been suggested to contribute to tumor invasion and metastasis. Specific inhibitors against HGF/c-Met signaling, therefore, may have important therapeutic potential for the treatment of cancers in which Met activity contributes to the invasive/metastatic phenotype. Recently, several c-Met receptor antagonists have been developed. The goal of the proposed research is to investigate the effects of a c-Met specific ATP-competitive small-molecule SU11274 on human ovarian carcinoma cell motility and transendothelial invasion. We hypothesize that c-Met- mediated signals affect cell motility by altering specific physical processes which provide the actual means for movement. Moreover, we suspect that although the role of c-Met varies from cell type to cell type, inhibition of c-Met may significantly inhibit motility and invasive activity in ovarian cancer cells expressing high levels of activated c-Met. The project will be facilitated by the use of electric cell-substrate impedance sensing (ECIS), a novel cell-based biosensor that monitors morphological changes of cells adherent on small gold electrodes. This approach will be combined with our established ability in fluorescence imaging, ECM coated polyacrylamide substrate, and digital image analysis to characterize a variety of cellular responses to SU11274. The specific aims are: 1. To determine the effect of activated c-Met on cell migration speed and/or directional persistence. 2. To determine the effect of activated c-Met on cell contractile force and morphology. 3. To determine the effect of c-Met inactivation by SU11274 on the transendothelial invasion of ovarian cancer cells. The proposed research will provide new information regarding the functional role of activated c- Met in metastatic behaviors of human ovarian carcinoma cells. The results will contribute to a broader goal of developing a new molecularly targeted anti-cancer therapy for ovarian cancer and possibly other forms of cancer.
描述(由申请人提供): 在卵巢癌中,与大多数其他实体肿瘤一样,转移性疾病而不是原发病变是大多数患者最常见的死亡原因。细胞迁移的HGF/c-Met信号异常被认为与肿瘤的侵袭和转移有关。因此,针对HGF/c-Met信号转导的特异性抑制剂可能在Met活性导致侵袭/转移表型的癌症治疗中具有重要的治疗潜力。近年来,几种c-Met受体拮抗剂相继问世。这项研究的目的是研究c-Met特异性ATP竞争性小分子SU11274对人卵巢癌细胞运动和跨内皮细胞侵袭的影响。我们假设c-Met介导的信号通过改变为运动提供实际手段的特定物理过程来影响细胞运动。此外,我们怀疑,尽管c-Met的作用因细胞类型不同而不同,但抑制c-Met可能会显著抑制高表达c-Met的卵巢癌细胞的运动和侵袭活性。该项目将通过使用电池-基质阻抗传感(ECIS)来促进,ECIS是一种新型的基于细胞的生物传感器,可以监测附着在小金电极上的细胞的形态变化。这种方法将与我们在荧光成像、ECM涂层聚丙烯酰胺底物和数字图像分析方面的既定能力相结合,以表征对SU11274的各种细胞反应。具体目的是:1.确定c-Met活化对细胞迁移速度和/或定向持续的影响。2.检测活化c-Met对细胞收缩能力和细胞形态的影响。3.探讨SU11274灭活c-Met对卵巢癌细胞内皮细胞侵袭能力的影响。这项研究将为c-Met在人卵巢癌细胞转移行为中的功能作用提供新的信息。这一结果将有助于更广泛的目标,即开发一种新的分子靶向抗癌疗法,用于卵巢癌,可能还包括其他形式的癌症。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Detecting effects of low levels of cytochalasin B in 3T3 fibroblast cultures by analysis of electrical noise obtained from cellular micromotion.
  • DOI:
    10.1016/j.bios.2008.09.033
  • 发表时间:
    2009-03-15
  • 期刊:
  • 影响因子:
    12.6
  • 作者:
    Lovelady DC;Friedman J;Patel S;Rabson DA;Lo CM
  • 通讯作者:
    Lo CM
Use of electric cell-substrate impedance sensing to assess in vitro cytotoxicity.
  • DOI:
    10.1016/j.bios.2009.01.015
  • 发表时间:
    2009-04-15
  • 期刊:
  • 影响因子:
    12.6
  • 作者:
    Opp D;Wafula B;Lim J;Huang E;Lo JC;Lo CM
  • 通讯作者:
    Lo CM
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Chun-Min Lo其他文献

Chun-Min Lo的其他文献

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{{ truncateString('Chun-Min Lo', 18)}}的其他基金

Polypeptide Multilayer Nanofilms for Synthetic Biomatrix Development
用于合成生物基质开发的多肽多层纳米膜
  • 批准号:
    7394550
  • 财政年份:
    2009
  • 资助金额:
    $ 7.25万
  • 项目类别:
c-Met Mediated Ovarian Cancer Cell Motility
c-Met 介导的卵巢癌细胞运动
  • 批准号:
    7322093
  • 财政年份:
    2007
  • 资助金额:
    $ 7.25万
  • 项目类别:

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