乳腺癌细胞间信号传递的数学模型
Frederick R Adler1, Jason I Griffiths2
1Department of Mathematics, University of Utah, 155 South 1400 East, Salt Lake City, UT 84112, USA; School of Biological Sciences, 257 South 1400 East, University of Utah, Salt Lake City, UT, 84112 USA..
Seminars in cancer biology
|January 31, 2025
概括
乳腺癌的数学模型揭示了细胞通信如何驱动瘤的进展和治疗反应. 对个性化癌症疗法和改善患者治疗结果需要进一步开发.
科学领域:
- 数学生物学的数学生物学
- 癌症研究 癌症研究
- 系统生物学 系统生物学
背景情况:
- 细胞通信对于健康和癌症乳腺组织的发展至关重要.
- 瘤微环境 (TME) 涉及癌症和非癌细胞之间的复杂信号传递,影响瘤的进展.
- 数学模型对于理解这些复杂的信号网络及其对癌症和治疗疗效的影响至关重要.
研究的目的:
- 审查乳腺癌细胞间信号传递的现有动态数学模型.
- 在解释癌症的出现和进展方面对模型目标和复杂性进行分类.
- 确定这些模型的发展所面临的挑战和机遇.
主要方法:
- 对乳腺癌细胞间信号传递的动态数学模型的系统审查.
- 包括考虑癌细胞,纤维细胞,内皮细胞,巨细胞和免疫系统的模型.
- 根据模型的目标和复杂性对模型进行分类.
主要成果:
- 动态模型可以解释瘤内部异质性,休眠到生长的过渡,体支持和免疫抑制.
- 这些模型为新的TME向治疗策略提供了一个框架.
- 模型的适用性受限于对少数细胞类型的关注以及缺乏患者特异性数据.
结论:
- 关键的挑战包括建模上下文依赖的信号,识别信号控制的表型,估计患者特定的参数,并整合单细胞/空间数据.
- 先进的数学模型可以帮助识别,测试和预测治疗策略.
- 改进的模型对于个性化乳腺癌治疗和管理至关重要.
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