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Understanding and controlling the spatial organisation of cancer

The spatial of organisation of tumours is the cumulative result of a myriad of cell-cell and cell-matrix interactions. These interactions determine the shape and relative positions of cells and the deposition and structure of the... ver más

30/09/2026

The Francis Crick...

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

THE FRANCIS CRICK INSTITUTE LIMITED No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-09-14

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

ERC-2020-ADG: ERC ADVANCED GRANT

I+D

Cerrada hace 4 años

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2 Participantes

The Francis Crick Institute

2.50M€ | Lider

VECTOR 3

479.46K€ | Participante

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Últimas noticias

30-11-2024: Cataluña Gestión For... Se ha cerrado la línea de ayuda pública: Gestión Forestal Sostenible para Inversiones Forestales Productivas para el organismo:

29-11-2024: IDAE En las últimas 48 horas el Organismo IDAE ha otorgado 4 concesiones

29-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 2 concesiones

Duración del proyecto: 60 meses Fecha Inicio: 2021-09-14
Fecha Fin: 2026-09-30

Líder del proyecto

THE FRANCIS CRICK INSTITUTE LIMITED

TRL 4-5

Presupuesto del proyecto 3M€

Descripción del proyecto The spatial of organisation of tumours is the cumulative result of a myriad of cell-cell and cell-matrix interactions. These interactions determine the shape and relative positions of cells and the deposition and structure of the extracellular matrix (ECM), which feeds back to guide cell migration. The spatial patterns of tumours indirectly encode information about the likely future course of the disease, which is interpreted by pathologists to provide patient prognosis. To understand and control the spatial organisation of tumours requires not just knowledge of cell position, but of the underlying structural matrix. Furthermore, analysis of fixed tissues fails to capture information about cell movement or the relative sequence and kinetics of events. We will place both structural information about the ECM and dynamic analysis obtained through longitudinal intravital imaging and the centre of our work. We will focus on sequentially describing, understanding, and then re-configuring the spatial organisation of the tumour microenvironment. We will develop spatial metrics to analyse stromal architecture and link spatial features to disease outcomes in patient cohorts and therapy responses in intravital imaging studies. Reductionist co-culture assays and microfabricated tools will be used to study the mechanisms of cell-cell and cell-matrix crosstalk that generate spatial patterns. This analysis will be coupled to an agent-based computational model, parameterised using our experimental models, to explore both emergent pattern formation and possible mechanisms of interconversion between spatial patterns. Both experimental and modelling approaches will be used to identify effective mechanisms to control spatial patterns in breast and skin cancer models. Finally, interventional approaches will be adopted to re-organise the spatial architecture of the tumour stroma into patterns that favour effective therapy and tumour elimination.

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