Objective
                                In the past 40 years the overall survival rate for people affected by tumors has doubled, with about 50% of patients now surviving their disease for 10 years or more. Nonetheless, some cancers (e.g lung cancer) still have poor survival rate. A major cause of lung cancer mortality is represented by disease relapse, occuring when few of the original cancer cells survive the initial treatment and causing primary tumor recurrence. Currently, no options are available to predict the risk of lung cancer relapse, which is only diagnosed late based on radiological evidence. Hence, the ability to early detect lung cancer relapse represents an urgent and unmet need, since a fast and tailored treatment could dramatically increase patients’ survival rate.
BuonMarrow lays on the groundbreaking hypothesis, supported by our Consortium preliminary clinical evidence, that bone marrow mesenchymal stromal cells (BM-MSC) may be educated upon cancer mediators exposure, and acquire a long-term memory-like response which is amplified when exposed to a secondary tumor. Owing to breakthrough technologies available in the Consortium (organ-on-chip, innovative optical sensors and biological modeling of the bone marrow niche), BuonMarrow partners will develop an in vitro miniaturized bone marrow device able to harness the amplified BM-MSC response generated by liquid biopsy of lung cancer patients, thus acting as a biological sensor for the early detection of relapse. A combination of retrospective and prospective clinical studies, respectively, will allow to calibrate and validate such sensor, delivering an unprecedented tool to assist the decision-making process on lung cancer patients.
We expect to significantly improve oncological treatments, building on a personalized medicine approach to increased patient survival and well-being, and thereby deeply impacting on EU’s socio/economic environment.
                            
                                Fields of science (EuroSciVoc)
                                                                                                            
                                            
                                            
                                                CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See:   The European Science Vocabulary.
                                                
                                            
                                        
                                                                                                
                            CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology demography mortality
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- medical and health sciences clinical medicine oncology
- engineering and technology other engineering and technologies microtechnology organ on a chip
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                                Keywords
                                
                                    
                                    
                                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
                                        
                                    
                                
                            
                            
                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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                      Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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                  HORIZON.3.1 - The European Innovation Council (EIC)
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                  Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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                Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
                
              
            
          
                      Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
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              Call for proposal
                
                  
                  
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(opens in new window) HORIZON-EIC-2023-PATHFINDEROPEN-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
20133 Milano
Italy
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