Analyzing the birth-death model of Oncostreams in Glioma, and the effects of Cytochalasin D treatment

Kai Poffenbarger, Rohan Pandey
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Abstract

This research project investigates the critical role of oncostreams in glioma aggressiveness, leveraging advanced ex-vivo 3D explants and in-vivo intravital imaging techniques to establish a direct correlation between oncostream density and cancer severity. The primary objective is to model the cell populations within oncostreams, with a specific focus on GFP+ NPA cells, to simulate cancer dynamics and provide insights into tumor behavior. The study employs a simple Birth-Death process to analyze cell population dynamics and treatment effects, building and solving Kolmogorov equations to predict changes in cell population over time. While the model could be expanded to include additional modulators such as morphological attributes and neurotransmitter exposure, the focus remains on cell population to maintain feasibility. The study also examines various treatment methods, finding that glutamate increases glioma cell movement while histamine reduces it. Collagenase treatment effectively dismantles oncostreams, suggesting a potential therapeutic strategy. For this paper, we specifically are going to be looking at Cytochalasin D, which shows promise in disrupting oncostreams and reducing glioma invasiveness. By integrating these treatment variables into the model, the research aims to understand their impact on glioma cell density within the oncostreams and aggressiveness, thereby contributing to improved cancer management strategies. This comprehensive approach is expected to enhance our understanding of glioma progression and inform the development of effective therapeutic interventions.
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分析胶质瘤肿瘤流的出生-死亡模型以及细胞松弛素 D 治疗的影响
该研究项目利用先进的活体外三维探针和活体内动态成像技术,研究脊髓灰质炎灶在胶质瘤侵袭性中的关键作用,从而建立脊髓灰质炎灶密度与癌症严重程度之间的直接相关性。该研究的主要目的是建立脊髓灰质炎灶内细胞群的模型,特别关注 GFP+ NPA 细胞,以模拟癌症动力学并深入了解肿瘤行为。该研究采用一个简单的 "出生-死亡 "过程来分析细胞群动态和治疗效果,建立并求解科尔莫哥罗夫方程来预测细胞群随时间的变化。虽然该模型可以扩展到更多的调节因子,如形态属性和神经递质暴露,但重点仍然是细胞群,以保持可行性。研究还考察了各种不同的治疗方法,发现谷氨酸会增加胶质瘤细胞的移动,而组胺则会减少细胞的移动。胶原酶处理能有效地分解上皮细胞流,是一种潜在的治疗策略。在本文中,我们将特别关注细胞松弛素 D,它有望破坏癌细胞上皮细胞流并降低胶质瘤的侵袭性。通过将这些治疗变量整合到模型中,研究旨在了解它们对神经胶质瘤细胞密度和侵袭性的影响,从而有助于改进癌症管理策略。这种综合方法有望加深我们对胶质瘤进展的理解,并为开发有效的治疗干预措施提供信息。
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