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Orcid Publication

Detalle de: Bridging live-cell imaging and next-generation cancer treatment

Title Bridging live-cell imaging and next-generation cancer treatment
Abstract

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.

Apa Reference Alieva, M., Wezenaar, A. K. L., Wehrens, E. J., & Rios, A. C. (2023). Bridging live-cell imaging and next-generation cancer treatment. Nature Reviews Cancer, 23(11), 731–745. 10.1038/s41568-023-00610-5
Doi 10.1038/s41568-023-00610-5
Publication Date 13 Sep 2023
Publication Type Article
Researcher Maria Alieva
Ontology Omics, Personal medicine, Single-cell omics, Clinical data
Research Groups imAIgene-lab (Dynamic Cancer Insight with AI)
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