Computational Approaches to Cancer Cell Dormancy: From Detection to Dynamic Modelling

Cancer cell dormancy is a clinically consequential yet computationally under-defined phenomenon characterised by reversible growth arrest and delayed disease recurrence. Although advances in single-cell and multi-omic profiling have improved detection of dormant and persister populations, their mole...

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Principais autores:	Lucas G. N. Spink, Shi Pan, Minyoung Kim, Belis Yener, Borbála Bánfalvi, Maria Secrier
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2026-04-01
Serija:	Biomolecules
Teme:	cancer cell dormancy computational modelling cell state transitions tumour reactivation drug-tolerant persister cells disseminated tumour cells
Online dostop:	https://www.mdpi.com/2218-273X/16/5/633
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