EUTRAIN
End stage renal diseases affect more than 3,900,000 patients worldwide with approximately 6% growth rate in 2016.
Kidney transplantation is currently the best therapeutic option with around 1,500,000 patients living with a kidney transplant. However, long-term graft survival has not been improved in the past 15 years and rejection is a major cause of graft loss, representing at least 12 billion € extra costs per year.
There is a major unmet need: a lack of robust tools to stratify the risk of rejection, graft function decline and graft loss.
To tackle this issue, the EU-TRAIN project aims at developing a risk stratification system in kidney transplantation by integrating multidimensional data from patients’ follow-up.
Our goals
ambitious but realistic
Our main goal is to answer the medical need for a precision risk stratification system in kidney transplant patients:
Goal 1:
Identify low- and high-risk kidney transplant patients using invasive and non-invasive biomarkers
Goal 2:
Implement blood non-invasive biomarkers to reduce invasive allograft biopsies
Goal 3:
Combine biomarker-guided strategy with traditional risk factors to stratify the risk of rejection, response to treatment, long-term allograft loss and allograft function decline
Goal 4:
Improve allograft outcomes
How will we achieve
our goals?
-
1
Develop an integrated risk-stratification and prognosis system (EU-TRACER)
in kidney transplantation to improve graft survival -
2
Convert EU-TRACER into clinical actionable information for the clinician:
- individual risk prediction for 3, 5, 7, 10-year allograft loss
- in high-risk rejecting patients: probability of response to standard of care
treatment and impact on outcomes -
3
Evaluate the EU-TRACER system in a “real-life” prospective randomized
control trial
The project objectives
1.Build Europe’s largest deep-phenotyped kidney transplant cohort/group by combining existing European databases and infrastructures
2.Correlate traditional risk factors for allograft rejection and loss & new risk factors defined by cutting-edge technologies based on disease mechanistic
3.Build a precision risk stratification system (EU-TRACER) that calculates individual risk of allograft rejection and transplant failure based on the smart data integration of the overall spectrum of relevant traditional and new prognostic factors, allowing evidence-based decision making for maintenance of immunosuppressive regimens
4.Engage European and international authorities to translate our consortium’s findings into European and international policies and thus prevent kidney allograft failure and improve patient survival
Partners
PARTNERS - home7
This project has received funding from the European
