Bridging live-cell imaging and next-generation cancer treatment

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.

Automated summary

Live-cell imaging provides a deeper understanding of cancer response to treatment by offering spatial, molecular, and morphological data over time. It has been applied to uncover tumour heterogeneity in treatment response and the mode of action of cancer-targeting drugs. The unique opportunity of time-lapse imaging in capturing the interactivity and motility of immunotherapies is also discussed. Recent technological advancements in multidimensional imaging and multi-omics data integration have allowed for the connection of single-cell dynamics to molecular phenotypes. These advancements significantly contribute to our understanding of tumour targeting and have implications for next-generation precision medicine.