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Mapping Cancer Response using Organoids and Mass cytometry

Breast cancer is the most common form of cancer in women and has a very variable prognosis. Efficacy of anticancer therapies is limited by intertumor and intratumor heterogeneity. To take these into account, tumor models should re... see more

31/03/2023

UZH

191K€

Project Budget: 191K€

Project leader

UNIVERSITAT ZURICH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

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Financing granted El organismo H2020 notifico la concesión del proyecto The day 2023-03-31

MSCA-IF-2020: Individual Fellowships Objective:The goal of the Individual Fellowships is to enhance the creative and innovative potential...

I+D

Cerrada does 5 years

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

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

4 Participantes

UZH

191.15K€ | Leader

AGLOMERADOS LOS SERRANOS

454.35K€ | participant

AGRUPACION MEDITERRANEA DE I...

253.07K€ | participant

LABORATORIO ANDALUZ DE ENSAY...

242.49K€ | participant

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Project duration: 24 months Date Start: 2021-03-25
End date: 2023-03-31

Project leader

UNIVERSITAT ZURICH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 191K€

participation deadline Sin fecha límite de participación.

Project description Breast cancer is the most common form of cancer in women and has a very variable prognosis. Efficacy of anticancer therapies is limited by intertumor and intratumor heterogeneity. To take these into account, tumor models should recapitulate native tumor heterogeneity and should be analysed at the single-cell level. Here, we propose to take advantage of the conserved heterogeneity of breast cancer patient-derived organoids in order to analyze their response to 45 FDA-approved drugs. These responses will be mapped in a single-cell atlas of sensitivities using mass cytometry, and the use of this atlas will be assessed for the prediction of drug sensitivity in future patient tumors and to guide treatment. We plan on exploring the best hits of this screening using imaging mass cytometry to have a spatial view of the evolution of the tumor ecosystem over time after drug treatment. This should positively impact patient treatment and survival and, more broadly, could lead to the new concept of mapping-based precision medicine. This project will also uncover the biology of resistance to drug treatments at unprecedented resolution. The study of the different cellular populations composing breast tumors, and their interactions, will lead to a better understanding of the tumor ecosystem and to the identification of therapies targeting specific cellular populations that could trigger tumor demise.

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