Department of Bioengineering, University of Louisville, Lutz Hall 419, Louisville, KY, 40208, USA.
Department of Mathematics, University of California, 540H Rowland Hall, Irvine, CA, 92697, USA.
J Immunother Cancer. 2018 Jan 30;6(1):10. doi: 10.1186/s40425-017-0313-7.
Immuno-oncotherapy has emerged as a promising means to target cancer. In particular, therapeutic manipulation of tumor-associated macrophages holds promise due to their various and sometimes opposing roles in tumor progression. It is established that M1-type macrophages suppress tumor progression while M2-types support it. Recently, Tie2-expressing macrophages (TEM) have been identified as a distinct sub-population influencing tumor angiogenesis and vascular remodeling as well as monocyte differentiation.
This study develops a modeling framework to evaluate macrophage interactions with the tumor microenvironment, enabling assessment of how these interactions may affect tumor progression. M1, M2, and Tie2 expressing variants are integrated into a model of tumor growth representing a metastatic lesion in a highly vascularized organ, such as the liver. Behaviors simulated include M1 release of nitric oxide (NO), M2 release of growth-promoting factors, and TEM facilitation of angiogenesis via Angiopoietin-2 and promotion of monocyte differentiation into M2 via IL-10.
The results show that M2 presence leads to larger tumor growth regardless of TEM effects, implying that immunotherapeutic strategies that lead to TEM ablation may fail to restrain growth when the M2 represents a sizeable population. As TEM pro-tumor effects are less pronounced and on a longer time scale than M1-driven tumor inhibition, a more nuanced approach to influence monocyte differentiation taking into account the tumor state (e.g., under chemotherapy) may be desirable.
The results highlight the dynamic interaction of macrophages within a growing tumor, and, further, establish the initial feasibility of a mathematical framework that could longer term help to optimize cancer immunotherapy.
免疫肿瘤疗法已成为靶向癌症的一种有前途的手段。特别是,由于肿瘤相关巨噬细胞在肿瘤进展中具有各种(有时是相反的)作用,因此对其进行治疗性操作具有很大的潜力。已经证实 M1 型巨噬细胞抑制肿瘤进展,而 M2 型则支持肿瘤进展。最近,已鉴定出表达 Tie2 的巨噬细胞(TEM)作为影响肿瘤血管生成和血管重塑以及单核细胞分化的独特亚群。
本研究开发了一个建模框架来评估巨噬细胞与肿瘤微环境的相互作用,从而评估这些相互作用如何影响肿瘤进展。将 M1、M2 和表达 Tie2 的变体整合到代表高度血管化器官(如肝脏)中的转移性病变的肿瘤生长模型中。模拟的行为包括 M1 释放一氧化氮(NO)、M2 释放促进生长的因子,以及 TEM 通过血管生成素-2 促进血管生成和通过白细胞介素-10 促进单核细胞向 M2 分化。
结果表明,无论 TEM 效应如何,M2 的存在都会导致肿瘤生长更大,这意味着导致 TEM 消融的免疫治疗策略可能会在 M2 代表相当大的群体时无法抑制生长。由于 TEM 促进肿瘤的作用不如 M1 驱动的肿瘤抑制作用明显,并且作用时间更长,因此考虑到肿瘤状态(例如,在化疗下),采用更细微的方法来影响单核细胞分化可能是可取的。
结果突出了巨噬细胞在生长肿瘤中的动态相互作用,并且进一步确立了数学框架的初步可行性,该框架可以长期帮助优化癌症免疫疗法。