论文标题
乳腺癌（ER+）的数学模型过多的雌激素：使用生酮饮食，内分泌治疗和免疫疗法的混合疗法
A mathematical model of Breast cancer (ER+) with excess estrogen: Mixed treatments using Ketogenic diet, endocrine therapy and Immunotherapy
论文作者
论文摘要
乳腺癌是一个主要的公共卫生问题，也是女性最常见的恶性肿瘤。在临床方法和理论实验方面有了显着的发展，以了解癌细胞与免疫系统的相互作用，也对分析和计算模型的发展也发展，以帮助您对临床观察有帮助，以更好地了解癌细胞，但需要更多，尤其是在遗传和分子水平上。诸如免疫疗法，化学疗法，激素疗法，放射疗法和基因疗法等疗法是对抗乳腺癌的主要策略。 The present study aims at investigating the effects of estrogen derived from recent models, but this time combined with immunotherapy as a way to treat or inhibit the cancer growth by a mathematical model of breast cancer in situ, governed by a simplified model of nonlinear-coupled ordinary differential equations, that combines important interactions between natural cells, tumor cells, immune cells, ketogenic diet in the presence of an anticancer drug.另一个贡献是引入抑制作用Epsilon以获取新的结果和结论，进行了定性研究，并包括了生物学解释以以现实的方式理解稳定性的条件。
Breast Cancer is a major public health problem and the most common diagnosed malignancy in woman. There have been significant developments in clinical approaches and theoretical experimental to understand the interactions of cancer cells dynamics with the immune system, also developments on analytical and computational models to help provide insights into clinical observations for a better understanding of cancer cells, but more are needed, especially at the genetic and molecular levels mathematically. Treatments such as immunotherapy, chemotherapy, hormone therapy, radiotherapy, and gene therapy are the main strategies in the fight against breast cancer. The present study aims at investigating the effects of estrogen derived from recent models, but this time combined with immunotherapy as a way to treat or inhibit the cancer growth by a mathematical model of breast cancer in situ, governed by a simplified model of nonlinear-coupled ordinary differential equations, that combines important interactions between natural cells, tumor cells, immune cells, ketogenic diet in the presence of an anticancer drug. Another contribution was to introduce the inhibition effect epsilon for new results and conclusions, A qualitative study was performed and biological interpretations were included to understand the conditions of stability in a realistic way.
