PATHSEC-BCA-BM

Pathway-based Secretomes in Breast Cancer Biomarker Discovery

 Coordinatore FUNDACIO PRIVADA INSTITUT D'INVESTIGACIO ONCOLOGICA DE VALL-HEBRON 

 Organization address city: Barcelona
postcode: 8035

contact info
Titolo: Ms.
Nome: Sandra
Cognome: Porta
Email: send email
Telefono: 34932746026
Fax: 34934893884

 Nazionalità Coordinatore Spain [ES]
 Totale costo 100˙000 €
 EC contributo 100˙000 €
 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-RG
 Funding Scheme MC-IRG
 Anno di inizio 2010
 Periodo (anno-mese-giorno) 2010-05-01   -   2014-04-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    FUNDACIO PRIVADA INSTITUT D'INVESTIGACIO ONCOLOGICA DE VALL-HEBRON

 Organization address city: Barcelona
postcode: 8035

contact info
Titolo: Ms.
Nome: Sandra
Cognome: Porta
Email: send email
Telefono: 34932746026
Fax: 34934893884

ES (Barcelona) coordinator 100˙000.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

breast    proteomics    pathway    discovery    tumor    hypothesis    markers    secreted    biomarkers    secretome    clinical    cancer    patients    discover    biomarker   

 Obiettivo del progetto (Objective)

'Improvements in the characterization of human tumors have resulted in better survival rates for cancer patients. However, less progress has been made in the development of clinical tools to monitor the course of the disease. Tumor markers have not had a broad acceptance in the clinical community, because the few that are known are organ rather than tumor specific. Proteomics biomarker discovery research is usually a brute-force effort, and suffers from lack of reproducibility and high biological sample complexity. There is need for proteomics hypothesis-driven biomarker discovery approaches that incorporate technology advances with understanding cancer at the molecular level. I propose a biomarker discovery approach that combines exploiting the tumor cell’s communication with its microenvironment and with the rest of the organism, with a proteomics method designed to specifically measure secreted proteins (the ‘secretome’). My hypothesis is that signaling pathways are altered during tumorigenesis, and that these alterations are translated into protein differential secretion, which potentially can be used to discover secreted markers. The strategy proposed entails generating breast cancer secretome signatures and mine them to discover secreted pathway-based biomarkers. There is great hope that the discovery of pathway-based biomarkers in breast cancer secretomes will facilitate individualized diagnostics and treatment of breast cancer patients.'

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