癌症中的药物依赖可以通过最佳构建的治疗假期来利用
Jeff Maltas1, Shane T Killarney2, Katherine R Singleton2
1Department of Biophysics, University of Michigan, Ann Arbor, MI, USA.
Nature ecology & evolution
|November 27, 2023
概括
间歇性向治疗可能通过利用药物依赖来减缓癌症的抵抗力. 差异化的黑色素瘤模型显示出更高的依赖性,由特定的信号通路驱动,指导最佳治疗计划.
科学领域:
- 在瘤学瘤学.
- 癌症生物学 癌症生物学
- 进化医学是一种进化医学.
背景情况:
- 对向疗法的获得性耐药性是癌症治疗中的一个主要挑战.
- 一些耐药癌症变得依赖于药物生存,这表明间歇性治疗可能是有效的.
- 药物依赖性瘤的最佳调度和鉴定仍然不太清楚.
研究的目的:
- 在对MAPK抑制剂耐药的BRAF突变黑色素瘤模型中表征药物依赖.
- 为了阐明驱动药物依赖的机制.
- 为了确定最佳的间歇性治疗计划,并验证它们在 silico.
主要方法:
- 超过75个MAPK抑制剂耐药BRAF V600E突变黑色素瘤模型的特征.
- 对药物依赖的种群和单克隆水平分析.
- 数学建模以确定最佳的"毒品假期"时间表.
- 基于空间代理的建模来模拟瘤动态.
主要成果:
- 与非差异化模型相比,黑色细胞差异化黑色素瘤模型对药物依赖的倾向更高.
- 在差异化模型中,微眼症相关的转录因子的损失驱动ERK-JunB-p21信号传递,强制药物依赖.
- 使用人口大小测量的简单适应性治疗方案产生了近乎最佳的结果.
- 优化的时间表在复杂的瘤微环境模拟中仍然有效.
结论:
- 瘤分化状态是药物依赖的关键预测因素.
- 特定的分子通路调解药物依赖,提供治疗点.
- 进化启发的适应疗法,即使使用简化方案,也可以有效地管理药物依赖性癌症.
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