Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
Instituto de Investigaciones Biomedicas Sols-Morreale (IIBM), CSIC-UAM, Madrid, Spain.
Nat Rev Cancer. 2023 Nov;23(11):731-745. doi: 10.1038/s41568-023-00610-5. Epub 2023 Sep 13.
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.
通过提供时间上的空间、分子和形态学数据，活细胞成像可以更深入地了解决定癌症对治疗反应的细胞和信号事件。通过识别生物标志物或可操作的靶点来提高治疗效果，从而提高临床疗效，从而理解这种动态反应具有潜在的可能性。在这里，我们回顾了活细胞成像在揭示肿瘤治疗反应异质性和癌症靶向药物作用模式方面的最新应用。鉴于 T 细胞疗法的应用越来越多，我们讨论了延时成像在捕捉免疫疗法的相互作用和运动性方面的独特机会。虽然传统上在捕获的分子特征数量上受到限制，但多维成像和多组学数据集成的新发展提供了将单细胞动力学与分子表型联系起来的策略。我们回顾了这些最近的技术进步对我们理解肿瘤靶向的细胞动力学的影响，并讨论了它们对下一代精准医学的意义。
