Nonlinear response to cancer nanotherapy due to macrophage interactions revealed by mathematical modeling and evaluated in a murine model via CRISPR-modulated macrophage polarization
Nonlinear response to cancer nanotherapy due to macrophage interactions revealed by mathematical modeling and evaluated in a murine model via CRISPR-modulated macrophage polarization
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DOI:
10.1007/s00262-020-02504-z
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发表时间:
2020-02
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影响因子:
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通讯作者:
F. Leonard;L. T. Curtis;Ahmed R. Hamed;Carolyn Zhang;E. Chau;D. Sieving;B. Godin;H. Frieboes
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文献类型:
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作者:
F. Leonard;L. T. Curtis;Ahmed R. Hamed;Carolyn Zhang;E. Chau;D. Sieving;B. Godin;H. Frieboes
Tumor-associated macrophages (TAMs) have been shown to both aid and hinder tumor growth, with patient outcomes potentially hinging on the proportion ofM1, pro-inflammatory/growth-inhibiting, toM2, growth-supporting, phenotypes. Strategies to stimulate tumor regression by promoting polarization toM1 are a novel approach that harnesses the immune system to enhance therapeutic outcomes, including chemotherapy. We recently found that nanotherapy with mesoporous particles loaded with albumin-bound paclitaxel (MSV-nab-PTX) promotes macrophage polarization towardsM1 in breast cancer liver metastases (BCLM). However, it remains unclear to what extent tumor regression can be maximized based on modulation of the macrophage phenotype, especially for poorly perfused tumors such as BCLM. Here, for the first time, a CRISPR system is employed to permanently modulate macrophage polarization in a controlled in vitro setting. This enables the design of 3D co-culture experiments mimicking the BCLM hypovascularized environment with various ratios of polarized macrophages. We implement a mathematical framework to evaluate nanoparticle-mediated chemotherapy in conjunction with TAM polarization. The response is predicted to be not linearly dependent on theM1:M2 ratio. To investigate this phenomenon, the response is simulated via the model for a variety ofM1:M2 ratios. The modeling indicates that polarization to an all-M1 population may be less effective than a combination of bothM1 andM2. Experimental results with the CRISPR system confirm this model-driven hypothesis. Altogether, this study indicates that response to nanoparticle-mediated chemotherapy targeting poorly perfused tumors may benefit from a fine-tunedM1:M2 ratio that maintains both phenotypes in the tumor microenvironment during treatment.