竞争和表型可塑性对适应性治疗可行性的影响
B Vibishan1, Paras Jain1,2, Vedant Sharma1
1Department of Bioengineering, Indian Institute of Science (IISc), Bengaluru, India.
bioRxiv : the preprint server for biology
|April 8, 2025
概括
适应性治疗癌症利用药物耐药性的异质性. 了解细胞状态转变和竞争动态对于优化这种治疗策略和改善患者结果至关重要.
科学领域:
- 癌症生物学 癌症生物学
- 数学瘤学数学瘤学
- 人口动态 人口动态
背景情况:
- 癌症在药物敏感性方面呈现异质性,导致治疗耐药性.
- 标准的癌症治疗往往会导致复发,原因是抗性细胞的竞争性释放.
- 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.
- 在癌症治疗中模拟生态竞争和表型可塑性之间的相互作用.
- 为了确定适应性与常量剂量治疗的最佳条件,考虑细胞状态动态.
主要方法:
- 利用了结论性人口增长模型,结合了敏感和耐药的癌细胞.
- 在竞争和细胞状态过渡下分析了稳定状态行为和时间动态.
- 在适应性疗法下,与没有细胞状态转换的模型结果进行比较.
主要成果:
- 确定了竞争和表型转变的独特平衡,以获得有效的适应性治疗.
- 具有细胞状态转换的模型在适应性治疗下表现出更高的波动频率.
- 突出了现象学模型在临床应用中的局限性,当细胞状态过渡发生时.
结论:
- 现型可塑性与适应性癌症治疗策略有关.
- 生态竞争和表型转变之间的平衡影响着人口动态.
- 需要进一步的研究,以完善结合细胞可塑性的自适应疗法模型的临床应用.
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