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SYSTEMS BIOLOGY APPROACH TO PREDICTING OUTCOMES OF LUNG CANCER THERAPIES AND STRATEGIES TO OVERCOME DRUG RESISTANCE IN VITRO

Objectif

There has been extensive research dedicated to identifying predictive biomarkers of tumor sensitivity to ligand-based therapies. Although some biomarkers have emerged, there is still no comprehensive understanding that unifies the observed tumor cell type-specific behaviors, in particular the differential responses to anti-cancer drugs.
The collective realization is that no single protein measurement is predictive of therapeutic outcome. Large-scale studies focusing on multiple genetic biomarkers may be partially inadequate given the observed fractional killing of genetically-identical clonal cell populations.
The objective of this proposal is to address this deficiency by coupling high-content analyses (dynamic live cell imaging, high-throughput assays) with theoretical and computational methods to provide a global understanding of the origins of tumor cell heterogeneity in response to anti-cancer drugs that target the apoptotic signaling pathway at the receptor level. Ultimately this approach will serve to identify, on a tumor cell type basis, the most predictive set of biomarkers and design optimal therapeutic combinations.

Champ scientifique (EuroSciVoc)

Programme(s)

Thème(s)

Appel à propositions

FP7-PEOPLE-2013-IIF
Voir d’autres projets de cet appel

Régime de financement

MC-IIF - International Incoming Fellowships (IIF)

Coordinateur

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Contribution de l’UE
€ 269 743,80
Coût total
Aucune donnée