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MechanoGAP

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Personalised Mechanobiological Models to Predict Tumour Growth and Anti-Cancer D...

Personalised Mechanobiological Models to Predict Tumour Growth and Anti-Cancer Drug Penetration Personalised cancer medicine presents an exciting frontier in healthcare that tailors disease mitigation and intervention to an individual patient. However, existing technologies fail to leverage the physical forces that underpin... ver más

31/12/2028

OLLSCOIL NA GAILLI...

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

UNIVERSITY OF GALWAY No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-01-01

ERC-2023-STG: ERC STARTING GRANTS Scope:Objectives

I+D

Cerrada hace 2 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

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OLLSCOIL NA GAILLIMHE

Lider

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Duración del proyecto: 59 meses Fecha Inicio: 2024-01-01
Fecha Fin: 2028-12-31

Líder del proyecto

UNIVERSITY OF GALWAY No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 1M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Personalised cancer medicine presents an exciting frontier in healthcare that tailors disease mitigation and intervention to an individual patient. However, existing technologies fail to leverage the physical forces that underpin stress-dependent tumour growth and the subsequent evolution of biomechanical resistance to anti-cancer drugs. Furthermore, the fundamental mechanisms governing such force-sensitivity have yet to be uncovered; this deficiency in scientific understanding of the active biomechanical behaviour of tumours and control of drug penetration has hindered the progression of anti-cancer therapy. In this project, an advanced computational modelling framework will first be developed to uncover the mechanisms underlying stress-dependent cell and tissue growth, coupling the thermodynamics of cellular volume control with active force generation and intracellular transport. Novel experimental analysis of 3D tumour spheroid growth and single cell biomechanics will reinforce the framework to gain a new understanding of how mechanical loading can prevent tumour cell division and the role of intracellular exchange in multi-cellular growth control. The models will then be extended to determine the role of growth-induced stress and cell compaction in restricting drug penetration, and whether this can be mitigated by promoting intracellular drug perfusion. Finally, integrated patient-derived computational and tumour organoid models will be developed for prediction of growth and emergent biomechanical resistance to anti-cancer drugs, motivating model-led mechanobiological therapy in an animal model of breast cancer. The overarching objective of this ground-breaking project is to pioneer a personalised healthcare framework for prediction of mechanically-regulated cancer and treatment outcomes, with remarkable potential to drive a paradigm shift in patient-specific diagnosis and treatment of cancer.

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