文章：

连接活细胞成像和下一代癌症治疗

Bridging live-cell imaging and next-generation cancer treatment

原文发布日期：2023-09-13

DOI: 10.1038/s41568-023-00610-5

类型: Review Article

开放获取: 否

英文摘要：

By providing spatial, molecular and morphological data over time, live-cell imaging can provide a deeper understanding of the cellular and signalling events that determine cancer response to treatment. Understanding this dynamic response has the potential to enhance clinical outcome by identifying biomarkers or actionable targets to improve therapeutic efficacy. Here, we review recent applications of live-cell imaging for uncovering both tumour heterogeneity in treatment response and the mode of action of cancer-targeting drugs. Given the increasing uses of T cell therapies, we discuss the unique opportunity of time-lapse imaging for capturing the interactivity and motility of immunotherapies. Although traditionally limited in the number of molecular features captured, novel developments in multidimensional imaging and multi-omics data integration offer strategies to connect single-cell dynamics to molecular phenotypes. We review the effect of these recent technological advances on our understanding of the cellular dynamics of tumour targeting and discuss their implication for next-generation precision medicine.

摘要翻译： 

通过提供随时间变化的空间、分子和形态学数据，活细胞成像能够更深入地理解决定癌症治疗反应的细胞及信号事件。这种动态反应的认知有望通过识别生物标志物或可操作靶点来提升治疗效果，从而改善临床结局。本文综述了活细胞成像在揭示治疗反应中的肿瘤异质性及靶向抗癌药物作用机制方面的最新应用。随着T细胞疗法的日益普及，我们探讨了延时成像在捕捉免疫疗法相互作用性和运动性方面的独特潜力。尽管传统方法在捕获分子特征数量上存在局限，但多维成像和多组学数据整合的新进展为连接单细胞动力学与分子表型提供了策略。我们回顾了这些技术进步对理解肿瘤靶向细胞动力学的影响，并探讨其对下一代精准医学的启示。

原文链接：

Bridging live-cell imaging and next-generation cancer treatment