精准医学的表型图:一个有前途的系统生物学工具,用于在个性化水平上评估治疗反应和耐药性
Sayantan Bhattacharyya1, Shafqat F Ehsan1,2, Loukia G Karacosta1
1Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Frontiers in network physiology
|November 15, 2023
概括
瘤异质性需要个性化医学,由奥米克驱动的系统生物学驱动. 菲诺斯坦普计划为量身定制的癌症治疗和了解疾病进展创建预测地图.
科学领域:
- 在瘤学瘤学.
- 系统生物学 系统生物学
- 生物信息学是一种生物信息学.
背景情况:
- 瘤异质性和耐治疗性推动了对个性化癌症医学的需求.
- 基于Omics的系统生物学利用高通量技术和生物信息学来全面了解瘤.
研究的目的:
- 介绍PHENOSTAMP程序及其在为个性化癌症医学创建预测性表型图中的作用.
- 为了说明这些地图如何可视化复杂的细胞过渡,如上皮层-介质细胞过渡 (EMT) 和介质细胞-上皮层过渡 (MET).
主要方法:
- 利用高维的奥米克数据,构建基于瘤功能可塑性的系统地图.
- 开发PHENOSTAMP程序,用于对单细胞表型和过渡状态进行视觉直观的映射.
主要成果:
- PHENOSTAMP为评估临床样本中的表型异质性提供了一个参考地图.
- 这些地图提供单细胞分辨率,以了解与EMT/MET相关的疾病进展和治疗反应.
结论:
- 动态预测地图对于推进个性化癌症治疗策略至关重要.
- 菲诺斯坦普为精确瘤学奠定了基础,通过根据个体瘤形状进行量身定制的治疗.
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