Summary
Successful drug approvals on Precision Oncology (PO) using basket studies have uncovered new challenges. Research in small patient populations suffers from sustainability/ logistical issues. Platform trials are flexible solutions to test different drugs in different populations but encompass management issues that compromise flow and translational research. This is detrimental to patients/ researchers thus new technological/ methodological concepts must be urgently implemented. To overcome these limitations, Cancer Core Europe (CCE) has developed the Basket of Basket (BoB) study to provide personalized treatment to a larger number of patients by incorporating a multi-tiered molecular profiling platform, flexible modules targeting different molecular alterations and a data/ sample collection plan to enable translational research. The CCE-DART model, here proposed, is conceived to address other limitations of PO and platform trials identified by our multi-disciplinary team. With a new design, we aim to improve efficiencies and transform platform trials in data-rich translational research programs, by: (1) developing digital systems (information-technology solutions) facilitating data management and clinical-decision-making; (2) integrating accurate, dynamic imaging and molecular markers of tumor progression/ drug response; (3) using more efficient, adaptive clinical trial methodology; (4) increasing patient engagement. To achieve this, we will use harmonized data-sharing/ technological/ legal/ clinical infrastructure developed in CCE and the BoB trial that will be leveraged as a use case for testing the new model. The new concept will impact the design of new clinical trials consolidating a self-sustainable, data-rich, multi-endpoint global platform for clinical/ translational research, encompassed by a pharmacoeconomics assessment that will proof the sustainability of the model for its implementation in the Health System and as a return of the investment to society.
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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/965397 |
Start date: | 01-02-2021 |
End date: | 31-01-2025 |
Total budget - Public funding: | - 5 999 411,00 Euro |
Cordis data
Original description
Successful drug approvals on Precision Oncology (PO) using basket studies have uncovered new challenges. Research in small patient populations suffers from sustainability/ logistical issues. Platform trials are flexible solutions to test different drugs in different populations but encompass management issues that compromise flow and translational research. This is detrimental to patients/ researchers thus new technological/ methodological concepts must be urgently implemented. To overcome these limitations, Cancer Core Europe (CCE) has developed the Basket of Basket (BoB) study to provide personalized treatment to a larger number of patients by incorporating a multi-tiered molecular profiling platform, flexible modules targeting different molecular alterations and a data/ sample collection plan to enable translational research. The CCE-DART model, here proposed, is conceived to address other limitations of PO and platform trials identified by our multi-disciplinary team. With a new design, we aim to improve efficiencies and transform platform trials in data-rich translational research programs, by: (1) developing digital systems (information-technology solutions) facilitating data management and clinical-decision-making; (2) integrating accurate, dynamic imaging and molecular markers of tumor progression/ drug response; (3) using more efficient, adaptive clinical trial methodology; (4) increasing patient engagement. To achieve this, we will use harmonized data-sharing/ technological/ legal/ clinical infrastructure developed in CCE and the BoB trial that will be leveraged as a use case for testing the new model. The new concept will impact the design of new clinical trials consolidating a self-sustainable, data-rich, multi-endpoint global platform for clinical/ translational research, encompassed by a pharmacoeconomics assessment that will proof the sustainability of the model for its implementation in the Health System and as a return of the investment to society.Status
SIGNEDCall topic
SC1-BHC-37-2020Update Date
26-10-2022
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