竞争和表型可塑性对适应性治疗可行性的影响
B Vibishan1, Paras Jain2, Vedant Sharma1
1Department of Bioengineering, Indian Institute of Science (IISc), Bengaluru, India.
Mathematical biosciences
|September 11, 2025
概括
适应性治疗癌症利用细胞异质性,通过保持敏感细胞来改善结果. 我们的模型表明,对细胞状态转换的考虑对于有效的适应性癌症治疗至关重要.
科学领域:
- 数学生物学的数学生物学
- 癌症研究 癌症研究
- 人口动态 人口动态
背景情况:
- 癌症呈现异质性,导致不同类型的药物敏感性变化.
- 标准治疗通常会导致复发,原因是耐药细胞的竞争性释放.
- 适应疗法旨在通过维持对药物敏感细胞以限制耐药细胞生长来改善结果.
研究的目的:
- 研究细胞状态转换对适应性治疗有效性的影响.
- 在癌症治疗中模拟竞争和细胞状态转换之间的相互作用.
- 为了确定适应性与常量剂量治疗的最佳平衡.
主要方法:
- 开发了一种决定性人口增长模型,其中包含了敏感和耐药的癌细胞.
- 模拟细胞群和细胞状态转换之间的竞争.
- 分析了模型的稳定状态行为和时间动态.
主要成果:
- 为了有效的适应性治疗,确定了竞争和细胞状态转换的最佳平衡.
- 与没有细胞状态转换的模型相比,在适应疗法下,细胞状态转换的模型在适应疗法下表现出较慢的振荡.
- 现型可塑性显著影响癌症治疗的动态和有效性.
结论:
- 细胞状态转变对于理解和设计适应性癌症疗法至关重要.
- 现型可塑性可以影响人口层面的动态和治疗结果.
- 该研究强调了当前模型的局限性,这些模型不考虑细胞状态过渡.
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