Perspective on the dynamics of cancer.

Q1 Mathematics
Youcef Derbal
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引用次数: 13

Abstract

Background: The genetic diversity of cancer and the dynamic interactions between heterogeneous tumor cells, the stroma and immune cells present daunting challenges to the development of effective cancer therapies. Although cancer biology is more understood than ever, this has not translated into therapies that overcome drug resistance, cancer recurrence and metastasis. The future development of effective therapies will require more understanding of the dynamics of homeostatic dysregulation that drives cancer growth and progression.

Results: Cancer dynamics are explored using a model involving genes mediating the regulatory interactions between the signaling and metabolic pathways. The exploration is informed by a proposed genetic dysregulation measure of cellular processes. The analysis of the interaction dynamics between cancer cells, cancer associated fibroblasts, and tumor associate macrophages suggests that the mutual dependence of these cells promotes cancer growth and proliferation. In particular, MTOR and AMPK are hypothesized to be concurrently activated in cancer cells by amino acids recycled from the stroma. This leads to a proliferative growth supported by an upregulated glycolysis and a tricarboxylic acid cycle driven by glutamine sourced from the stroma. In other words, while genetic aberrations ignite carcinogenesis and lead to the dysregulation of key cellular processes, it is postulated that the dysregulation of metabolism locks cancer cells in a state of mutual dependence with the tumor microenvironment and deepens the tumor's inflammation and immunosuppressive state which perpetuates as a result the growth and proliferation dynamics of cancer.

Conclusions: Cancer therapies should aim for a progressive disruption of the dynamics of interactions between cancer cells and the tumor microenvironment by targeting metabolic dysregulation and inflammation to partially restore tissue homeostasis and turn on the immune cancer kill switch. One potentially effective cancer therapeutic strategy is to induce the reduction of lactate and steer the tumor microenvironment to a state of reduced inflammation so as to enable an effective intervention of the immune system. The translation of this therapeutic approach into treatment regimens would however require more understanding of the adaptive complexity of cancer resulting from the interactions of cancer cells with the tumor microenvironment and the immune system.

Abstract Image

Abstract Image

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对癌症动力学的看法。
背景:癌症的遗传多样性以及异质肿瘤细胞、间质细胞和免疫细胞之间的动态相互作用为开发有效的癌症治疗提出了艰巨的挑战。虽然癌症生物学比以往任何时候都更加了解,但这并没有转化为克服耐药性、癌症复发和转移的治疗方法。未来有效疗法的发展将需要更多地了解驱动癌症生长和进展的体内平衡失调的动力学。结果:使用涉及基因介导信号传导和代谢途径之间调节相互作用的模型探索癌症动力学。该探索是由提出的细胞过程的遗传失调测量通知。对癌细胞、癌相关成纤维细胞和肿瘤相关巨噬细胞相互作用动力学的分析表明,这些细胞的相互依赖促进了肿瘤的生长和增殖。特别是,假设MTOR和AMPK在癌细胞中被从基质中回收的氨基酸同时激活。这导致增生生长,由糖酵解上调和三羧酸循环驱动的谷氨酰胺来源的基质。换句话说,虽然基因畸变引发癌变并导致关键细胞过程的失调,但我们假设代谢失调将癌细胞锁定在与肿瘤微环境相互依赖的状态,并加深肿瘤的炎症和免疫抑制状态,从而使肿瘤的生长和增殖动力学永续。结论:癌症治疗的目标应该是通过靶向代谢失调和炎症来部分恢复组织稳态并打开癌症免疫杀死开关,从而逐步破坏癌细胞与肿瘤微环境之间相互作用的动力学。一种潜在有效的癌症治疗策略是诱导乳酸的减少,并引导肿瘤微环境进入炎症减少的状态,从而使免疫系统能够有效干预。然而,将这种治疗方法转化为治疗方案需要更多地了解癌细胞与肿瘤微环境和免疫系统相互作用导致的癌症适应性复杂性。
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来源期刊
Theoretical Biology and Medical Modelling
Theoretical Biology and Medical Modelling MATHEMATICAL & COMPUTATIONAL BIOLOGY-
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.
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