The EUropean TRAnsplantation and INnovation Consortium for Risk Stratification in Kidney Transplant Patients
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 558
- 试验地点
- 9
- 主要终点
- Capacity of non-invasive biomarkers and intragraft gene expression profiles combined to standard of care data (HLA system, clinical and biological data)
研究概览
简要总结
Main objective: To design a precision risk stratification system that predicts individual risk of rejection
详细描述
Allograft rejection is still a major threat to allografts with thousands of allografts failing every year worldwide due to organ rejection, with immediate consequences for the patients in terms of mortality and morbidity. With a prevalence around 20% in the first-year post transplant, rejection also carries high economic impact representing a 72% increase in transplantation price and downstream cost because of return on dialysis (60,000€ health care increase per patient). The rough estimates from 200,000 kidney allograft failures per year equals to 12 billion extra cost for the health care system per year.
Various explanations may be involved: 1) The current stratification system relies on various elements of the follow up of standard of care after kidney transplantation (histology, immunology) taken separately and, 2) Current therapeutic strategy is a "one fit for all" approach. Literature data show that therapeutics are not individualized, with 98% of patients having the same immunosuppressive regimens without analysis of response to therapy; 3) Lack of integration of omics in the stratification process. Today, the only approaches used to monitor the advent of immune-mediated allograft damage are nonspecific markers such as serum creatinine level and proteinuria which are not integrated in a dynamic approach. Some kidney transplant programs have implemented surveillance allograft biopsies, but they lack specificity and sensitivity and do not provide etiopathology of the underlying process. This impairs the risk stratification process.
In this project, leading European scientific teams, which have created relevant population cohorts and expertise, have joined forces to allow for large-scale (>5,000 patients) risk prediction studies in the field of kidney transplantation. The overall goal of the EUropean TRAnsplantation and INnovation consortium (EU-TRAIN) is to prevent kidney allograft failure and improve allograft survival by informing clinical decision and delivering optimised interventions to patients at individual level. The project aims to improve the current gold standard for risk stratification and prognosis among kidney transplant recipients.
The members of the EU-TRAIN consortium have invested heavily in the last decade to create large highly detailed European kidney transplant cohorts and to achieve best level scientific expertise in the assessment of innovative biomarkers and rejection reclassification on the basis of disease mechanism using gene expression. Ground-breaking concrete results have already been obtained that have changed patient care and transplant medicine guidelines: This is underlined by highly cited publications in the leading specialised journals and also in journals aimed at a popular audience that underlines the systemic nature of this approach, (NEJM (n=10), Lancet (n=2), BMJ (n=1), JASN (n=18)). Using this approach, the investigators have recently identified new forms of allograft rejection, resulting in changes in the most recent international allograft Banff classification and reclassifying rejection diagnosis and disease stage. This research strategy also led to recently demonstrate the clinical relevance of new non-invasive biomarkers for defining the pathogenicity of anti-HLA antibodies and allograft loss risk assessment and incorporate gene expression measurements in allograft rejection risk stratification.
The EU-TRAIN project will further elevate these cohorts synergistically by adding data on novel biomarkers, so far underdeveloped in kidney transplant research, in particular genomics and immunological data. A comprehensive integration strategy of these exceptionally large and complete cohorts constitutes a quantum leap in transplant research, and offers a unique opportunity, out of reach so far, to design strategies for truly personalised medicine.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 100 Years(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Men and women, Age ≥ 18 years old at the time of transplantation.
- •Patients receiving a living or deceased donor kidney allograft.
- •Patients who signed the informed consent form and willing to comply with study procedures.
- •Female patients of child-bearing potential must have a negative pregnancy test (serum beta-hCG) and must be practicing an effective, reliable and medically approved contraceptive regimen
排除标准
- •History of multi-organ transplant (interference with rejection natural history).
- •Participant is unable or unwilling to comply with study procedures (including foreign language speakers who are not assisted by a native language speaker).
- •Vulnerable participants (minors, protected adults, legally detained)
结局指标
主要结局
Capacity of non-invasive biomarkers and intragraft gene expression profiles combined to standard of care data (HLA system, clinical and biological data)
时间窗: Day 0, Month 3, Month 12, clinical indication over 12 months
Prognosis value of non-invasive biomarkers and intragraft gene expression profile changes combined to standard of care data changes (HLA system, clinical and biological data), to identify high versus low risk profiles of rejection as measured by DSA characteristics (Donor-Specific Antibody) by Luminex single antigen assay and non DSA characteristics by functional in vitro assay on endothelial targets, alloreactive T and B cells profiles by ELISPOT, blood mRNA expression by NanoString technologies and gene expression on DNA chips.
次要结局
- Correlation of gene expression in kidney allografts with allograft rejection (rejection assessed by histopathology)(Day 0, Month 3, Month 12, clinical indication over 12 months)
- Gene expression related risk stratification of response to treatment in kidney allograft rejection (rejection assessed by histopathology)(Day 0, Month 3, Month12, clinical indication over 12 months)
- Assessment of the changes of patient's well-being across time and centres(Day 0, Month 3, Month12, clinical indication over 12 months)
- Correlation of blood biomarkers concentration with allograft rejection (rejection assessed by histopathology)(Day 0, Month 3, Month12, clinical indication over 12 months)
- Correlation of blood biomarker concentrations with allograft function (function measured by the Glomerular Filtration Rate (GFR)).(Day 0, Month 3, Month12, clinical indication over 12 months)
- Assessment of changes in biomarker levels in serial measurements and association with allograft function (function measured by the GFR)(Day 0, Month 3, Month12, clinical indication over 12 months)
