Kaur Rupleen, Barker-Clarke Rowan, Dhawan Andrew
Case Western Reserve University, Cleveland, OH, USA.
Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
bioRxiv. 2025 Jun 6:2025.06.05.654750. doi: 10.1101/2025.06.05.654750.
Breast cancer brain metastases (BCBM) affect nearly 90,000 patients annually in the United States and carry a significant risk of mortality. As metastatic lesions develop, the unique milieu of the brain microenvironment shapes disease progression and therapeutic response. Among resident brain cells, astrocytes are both the most common, and are increasingly recognized as key regulators of this process, yet their precise role remains poorly defined. Here, we present a hybrid agent-based model (ABM) to simulate tumor-astrocyte interactions on a two-dimensional lattice. In our model, metastatic tumor cells induce phenotypic reprogramming of astrocytes from an anti- to a pro-metastatic state, thereby enhancing tumor proliferation. We systematically evaluate how variations in astrocyte density, spatial distribution, and chemotherapy impact tumor expansion and spatial morphology, quantified by fractal dimension, lacunarity, and eccentricity. Our simulations reveal that astrocyte reprogramming accelerates tumor progression and contributes to increased morphological complexity and chemotherapeutic resistance.
在美国,每年有近9万名患者受到乳腺癌脑转移(BCBM)的影响,且存在显著的死亡风险。随着转移病灶的发展,脑微环境的独特环境塑造了疾病的进展和治疗反应。在脑实质细胞中,星形胶质细胞既是最常见的,也越来越被认为是这一过程的关键调节因子,但其确切作用仍不清楚。在此,我们提出一种基于混合代理的模型(ABM),以在二维晶格上模拟肿瘤与星形胶质细胞的相互作用。在我们的模型中,转移性肿瘤细胞诱导星形胶质细胞从抗转移状态转变为促转移状态,从而促进肿瘤增殖。我们系统地评估了星形胶质细胞密度、空间分布和化疗的变化如何影响肿瘤的扩张和空间形态,通过分形维数、空隙度和偏心率进行量化。我们的模拟结果表明,星形胶质细胞重编程加速了肿瘤进展,并导致形态复杂性增加和化疗耐药性增强。