Bridging live-cell imaging and next-generation cancer treatment

被引：32

作者：

Alieva, Maria ^{[1
,2
]}

Wezenaar, Amber K. L. ^{[1
,3
]}

Wehrens, Ellen J. ^{[1
,3
]}

Rios, Anne C. ^{[1
,3
]}

机构：

[1] Princess Maxima Ctr Pediat Oncol, Utrecht, Netherlands

[2] CSIC, UAM, Inst Invest Biomed Sols Morreale IIBM, Madrid, Spain

[3] Oncode Inst, Utrecht, Netherlands

来源：

NATURE REVIEWS CANCER | 2023年 / 23卷 / 11期

基金：

欧洲研究理事会;

关键词：

T-CELLS; INTRATUMORAL HETEROGENEITY; IFN-GAMMA; RNA-SEQ; ORGANOIDS; DYNAMICS; REVEALS; RESISTANCE; MICROSCOPY; MELANOMA;

D O I：

10.1038/s41568-023-00610-5

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

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. Live-cell imaging can provide spatial, morphological and molecular understanding of cancer response to treatment. Here, Alieva et al. review its recent application for uncovering drug mode of action and tumour heterogeneity in response to treatment and discuss its application for next-generation precision medicine.

引用

页码：731 / 745

页数：15

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