SIGNALING METASTATES

"Signaling Networks of Ovarian Cancer Metastates, Stem Cells and Maturation Phenotypes"

Coordinatore	EUROPEAN MOLECULAR BIOLOGY LABORATORY    more  Organization address address: Meyerhofstrasse 1 city: HEIDELBERG postcode: 69117 contact info Titolo: Dr. Nome: Phil Cognome: Irving Email: send email Telefono: +49 62213878239 Fax: +49 62213878575
Nazionalità Coordinatore	Germany [DE]
Totale costo	244˙439 €
EC contributo	244˙439 €
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-2009-IOF
Funding Scheme	MC-IOF
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-01-01   -   2013-12-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	EUROPEAN MOLECULAR BIOLOGY LABORATORY  Organization address address: Meyerhofstrasse 1 city: HEIDELBERG postcode: 69117 contact info Titolo: Dr. Nome: Phil Cognome: Irving Email: send email Telefono: +49 62213878239 Fax: +49 62213878575	DE (HEIDELBERG)	coordinator	244˙439.90

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 Obiettivo del progetto (Objective)

'Tumors are by definition both variable and highly adaptive, allowing them to grow beyond their original onset site and invade other organs, and in the process evading physiological intra and extracellular anti-tumor responses, and sometimes chemotherapy. This study proposes that ovarian cancers, and the heterogeneous cells that compose them, can be defined as a cell population(s) with an immature surface and signaling phenotype (with attendant self-replicative capacities) as well as a population(s) of cells with a more 'mature cell' phenotype. The expectation is that these two stages define a parent-daughter cell hierarchy and that this series of maturation events can be modeled akin to normal differentiation – with a set of pools of cells with a defined, stable phenotype linked to each other through transition state intermediates. Here, I apply a single cell systems biology approach to map signaling states at each stage of this proposed cancer-associated differentiation of ovarian cancer using perturbation mapping and high throughput systems biology approaches. The proposal will define the mechanistic underpinnings of ovarian cancer stem cells and the more mature phenotypes, the signaling states of cancer stem cells and daughter cells within patients that are resistant to cancer therapy, and finally a map that delineates the robustness profiles of the cancer-associated differentiation signaling networks and thereby optimal entry points for therapeutic interventions.'