Predictive model of pro- and anti-angiogenic factors involved in breast cancer
Predictive model of pro- and anti-angiogenic factors involved in breast cancer
批准号:
8000324
负责人:
Stacey Deleria Finley
金额:
$4.76万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-15 至 2013-02-14
关键词:
Angiogenesis Inducing AgentsAngiogenesis InhibitorsAngiogenic FactorAngiogenic PeptidesBindingBlood PlateletsBlood VesselsBlood capillariesComputer SimulationDevelopmentDiagnosisEquilibriumExtracellular Matrix ProteinsFunctional disorderGrowthGrowth FactorMalignant NeoplasmsMembraneModelingNeoplasm MetastasisPathway interactionsProcessResearchRoleSimulateTestingTherapeuticThrombospondin 1Tumor AngiogenesisVascular Endothelial Growth FactorsVascular blood supplyVascularizationWomanangiogenesisbasecancer cellcancer therapycapillaryinhibitor/antagonistmalignant breast neoplasmnew growthpredictive modelingpromoterpublic health relevanceresearch studyresponsetumor
中文摘要
描述(由申请人提供):癌症的发展、侵袭和转移在很大程度上依赖于血管生成,即从预先存在的血管形成新的毛细血管,并且该过程受到促血管生成因子和抗血管生成因子的平衡的精细调节。血管生成的刺激物包括生长因子,例如血管内皮生长因子(VEGF),血管生长的关键促进剂。此外,膜结合或细胞外基质蛋白,包括血小板反应蛋白-1(TSP 1),作为血管生成的内源性抑制剂发挥作用。在癌症的情况下,平衡被改变,导致过度血管化的状态,并允许肿瘤建立自己的血液供应。血管生长的促进剂和抑制剂的动态平衡的定量描述将有助于我们理解肿瘤血管生成,并提供一个平台来测试控制这一过程的癌症治疗。该研究旨在开发一种基于实验的乳腺癌血管生成计算模型,该模型包含内源性促血管生成和抗血管生成途径(目的1)。该模型将用于探测TSP 1抑制血管生长的机制,并量化血小板在血管生成中的作用(目的2)。此外,该模型将模拟和预测对乳腺癌治疗的血管生成反应,包括VEGF中和剂和TSP 1衍生的抗血管生成肽(Aim 3)。这项研究将进一步加深我们对血管生成相关病理生理学的理解,并促进抑制肿瘤血管生成的癌症治疗方法的开发和优化。
公共卫生相关性:每年有超过180,000名妇女被诊断患有乳腺癌。癌症的发展,导致入侵和转移,在很大程度上取决于癌细胞促进新血管从现有血管生长的能力,这一过程称为血管生成。本项目旨在开发一个定量模型来研究血管生成促进剂和抑制剂的平衡,并将该模型应用于癌症治疗的开发。
英文摘要
DESCRIPTION (provided by applicant): Cancer development, invasion, and metastasis is largely dependent on angiogenesis, the formation of new capillaries from pre-existing blood vessels, and this process is exquisitely regulated by a balance of pro- and anti-angiogenic factors. Stimulators of angiogenesis include growth factors, such as vascular endothelial growth factor (VEGF), a key promoter of vascular growth. Additionally, membrane-bound or extracellular matrix proteins, including thrombospondin-1 (TSP1), function as endogenous inhibitors of angiogenesis. In the case of cancer, the balance is altered, leading to a state of hyper-vascularization and allowing the tumor to establish its own blood supply. A quantitative description of the dynamic equilibrium of promoters and inhibitors of vascular growth would aid in our understanding of tumor angiogenesis and provide a platform to test cancer therapies that control this process. The proposed research aims to develop an experiment-based computational model of breast cancer angiogenesis that incorporates endogenous pro- and anti-angiogenic pathways (Aim 1). The model will be used to probe the mechanism by which TSP1 inhibits vascular growth and quantify the role of platelets in angiogenesis (Aim 2). Additionally, the model will simulate and predict the angiogenic response to breast cancer therapies, including VEGF-neutralizing agents and TSP1-derived anti- angiogenic peptides (Aim 3). This research will further our understanding of angiogenesis-related pathophysiology and facilitate the development and optimization of cancer therapies that inhibit tumor angiogenesis.
PUBLIC HEALTH RELEVANCE: More than 180,000 women are diagnosed with breast cancer each year. Cancer development, leading to invasion and metastasis, is largely governed by the cancer cells' ability to promote the growth of new blood vessels from pre-existing ones, a process called angiogenesis. This project aims to develop a quantitative model to study the balance of promoters and inhibitors of angiogenesis and apply the model to aid in the development of cancer therapeutics.
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