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Simulation of the Protein-Shedding Kinetics of a Fully Vascularized Tumor

机译:完全血管化肿瘤的蛋白质脱落动力学模拟

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Circulating biomarkers are of significant interest for cancer detection and treatment personalization. However, the biophysical processes that determine how proteins are shed from cancer cells or their microenvironment, diffuse through tissue, enter blood vasculature, and persist in circulation remain poorly understood. Since approaches primarily focused on experimental evaluation are incapable of measuring the shedding and persistence for every possible marker candidate, we propose an interdisciplinary computational/experimental approach that includes computational modeling of tumor tissue heterogeneity. The model implements protein production, transport, and shedding based on tumor vascularization, cell proliferation, hypoxia, and necrosis, thus quantitatively relating the tumor and circulating proteomes. The results highlight the dynamics of shedding as a function of protein diffusivity and production. Linking the simulated tumor parameters to clinical tumor and vascularization measurements could potentially enable this approach to reveal the tumor-specific conditions based on the protein detected in circulation and thus help to more accurately manage cancer diagnosis and treatment.
机译:循环生物标志物对于癌症检测和治疗个性化具有重大意义。然而,对决定蛋白质如何从癌细胞或其微环境中脱落,如何通过组织扩散,进入血管系统以及在循环中持续的生物物理过程的了解仍然很少。由于主要侧重于实验评估的方法无法测量每种可能的标记候选物的脱落和持久性,因此我们提出了一种跨学科的计算/实验方法,其中包括肿瘤组织异质性的计算模型。该模型基于肿瘤的血管形成,细胞增殖,缺氧和坏死来实现蛋白质的产生,运输和脱落,从而定量关联肿瘤和循环蛋白质组。结果突出了脱落的动力学与蛋白质扩散和产量的关系。将模拟的肿瘤参数与临床肿瘤和血管生成测量值联系起来,有可能使这种方法能够基于循环中检测到的蛋白质揭示特定于肿瘤的疾病,从而有助于更准确地管理癌症的诊断和治疗。

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