Innovating Works

HERCULES

Financiado
Comprehensive characterization and effective combinatorial targeting of high gra...
Comprehensive characterization and effective combinatorial targeting of high grade serous ovarian cancer via single cell analysis The goal of this multidisciplinary project is to comprehensively characterise high-grade serous ovarian cancer (HGS-OvCa) at single-cell level, identify the best combination of drug combination to kill HGS-OvCa populations and co... The goal of this multidisciplinary project is to comprehensively characterise high-grade serous ovarian cancer (HGS-OvCa) at single-cell level, identify the best combination of drug combination to kill HGS-OvCa populations and commercialise a predictive biomarker kit for finding the right therapeutic regimen to the right patient. This project takes an advantage on prospectively and longitudinally collected fresh sample specimens from multiple anatomic sites of HGS-OvCa patients with metastatic disease. Fluorescence activated cell sorting and recently developed mass cytometry are used to identify subpopulations in HGS-OvCa tumors. This is followed by single-cell analysis at genetic and transcriptomics levels, and ex vivo drug screening experiments. These data will be used to establish network models to predict the most effective combinatorial treatments. The key results will be validated with existing HGS-OvCa data together with prospective and retrospective cohorts and in vivo models. The clinically most actionable treatment suggestions from our modelling efforts will be translated to HGS-OvCa patient care. Ovarian cancer kills more than 40,000 women in Europe every year due to lack of effective and long-lasting therapeutic regimens. HERCULES presents an innovative strategy to suggest effective treatments that lead to a marked decrease in ovarian cancer deaths and reduce the number of expensive but inefficient treatments. Our approach paves the way to move beyond the current trial-and-error clinical assessment of drug combinations toward more systematic prediction of the most effective drug combinations for each patient. The proposed approach will be a major breakthrough in systems medicine and will benefit individual ovarian cancer patients and the health-care system through more effective treatments, and the diagnostic and pharmaceutical industry through tools for better stratified clinical trials, and novel treatment and diagnostic modalities. ver más
30/06/2021
6M€
Duración del proyecto: 66 meses Fecha Inicio: 2015-12-02
Fecha Fin: 2021-06-30

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2021-06-30
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
Presupuesto El presupuesto total del proyecto asciende a 6M€
Líder del proyecto
HELSINGIN YLIOPISTO No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5