SYSBIODREZ

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

Coordinatore	CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE    more  Organization address address: Rue Michel -Ange 3 city: PARIS postcode: 75794 contact info Titolo: Ms. Nome: Sophie Cognome: Deschaintres Email: send email Telefono: +33 4 93954260 Fax: +33 4 92960339
Nazionalità Coordinatore	France [FR]
Totale costo	269˙743 €
EC contributo	269˙743 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2013-IIF
Funding Scheme	MC-IIF
Anno di inizio	2014
Periodo (anno-mese-giorno)	2014-05-01   -   2016-04-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE  Organization address address: Rue Michel -Ange 3 city: PARIS postcode: 75794 contact info Titolo: Ms. Nome: Sophie Cognome: Deschaintres Email: send email Telefono: +33 4 93954260 Fax: +33 4 92960339	FR (PARIS)	coordinator	269˙743.80

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 Obiettivo del progetto (Objective)

'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.'