Multiscale Tumor Model for Cancer Treatment Prototyping

用于癌症治疗原型设计的多尺度肿瘤模型

• 批准号: 6935301
• 负责人: MACIEJ Z PINDERA
• 金额: $ 38.39万
• 依托单位: CFD RESEARCH CORPORATION
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-26 至 2008-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6935301
• 关键词: angiogenesis; biomechanics; biotechnology; blood vessels; computer graphics /printing; computer human interaction; computer program /software; computer simulation; computer system design /evaluation; disease /disorder model; drug delivery systems; hemodynamics; laboratory mouse; mathematical model; neoplasm /cancer blood supply; neoplasm /cancer chemotherapy; neoplastic growth

DESCRIPTION (provided by applicant): Cancer is the second leading cause of death in the U.S. Despite very active research in the area, the number of deaths related to cancer has not fallen significantly in the past decade. A major problem associated with the development of effective treatments is the long time scales required for monitoring of in-vivo cancer behavior in a laboratory or clinical setting. Current advancements in theoretical biology have created a unique possibility to conduct many of the lengthy studies in-silico using computer-based numerical simulations. We propose to develop high-fidelity software tools to enable such simulations. One of the keys to tumor control is tumor vascularization through angiogenesis. We have demonstrated in Phase I research the feasibility of developing computer software capable of modeling the salient features associated with angio/cancer dynamics. We have shown that we can simulate not only the formation of computationally functional blood vessels, but also the effects on angiogenesis inhibitors on the developing vasculature. Phase II research will be a collaborative effort of CFDRC and Vanderbilt University. The existing code capabilities will be further extended by developing new and incorporating existing models using a hierarchical code structure that results in a flexible formulation that allows updating/inclusion of new biochemical dynamics models as they become available. The developed software will be extensively validated against data from in-vivo experiments performed by our Vanderbilt colleagues. This work provides a new and highly innovative method capable of predicting physiologically correct vasculature, thereby permitting the simulation of blood transport and therapeutics to the tumor. Using this technology, the time required in the studies and development of cancer treatments can be potentially reduced from months (as is currently the case) to hours or days. The software will also allow in-silico investigation of treatments that are not practical in-vivo.

描述(由申请人提供)： 癌症是美国第二大死因。尽管该领域的研究非常活跃，但与癌症相关的死亡人数在过去十年中并没有显著下降。与开发有效的治疗方法相关的一个主要问题是，在实验室或临床环境中监测体内癌症行为需要很长的时间尺度。目前理论生物学的进步创造了一种独特的可能性，可以使用基于计算机的数值模拟在计算机中进行许多漫长的研究。我们建议开发高保真软件工具来实现这种模拟。肿瘤控制的关键之一是通过血管生成使肿瘤血管形成。我们已经在第一阶段的研究中论证了开发能够模拟与血管/癌症动力学相关的显著特征的计算机软件的可行性。我们已经证明，我们不仅可以模拟具有计算功能的血管的形成，而且可以模拟血管生成抑制剂对发育中的血管系统的影响。第二阶段的研究将是中心和范德比尔特大学的合作努力。现有的编码能力将通过使用分层编码结构开发新的和纳入现有模型来进一步扩展，这种分层编码结构导致灵活的公式，允许在新的生化动力学模型可用时对其进行更新/纳入。开发的软件将与我们的范德比尔特同事进行的体内实验的数据进行广泛的验证。这项工作提供了一种新的高度创新的方法，能够预测生理上正确的血管系统，从而允许对肿瘤的血液传输和治疗进行模拟。使用这项技术，癌症治疗的研究和开发所需的时间可能从几个月(目前的情况)减少到几个小时或几天。该软件还将允许对不适用于体内的治疗进行硅胶研究。