HEARTBiT: Multi-Marker Blood Test for Acute Cardiac Transplant Rejection
- Conditions
- Transplant FailureHeart Transplant Failure and RejectionHeart FailureHeart Failure，CongestiveHeart DiseasesTransplant; Failure, Heart
- Registration Number
- NCT03575910
- Lead Sponsor
- University of British Columbia
- Brief Summary
Heart transplantation is a life saving therapy for people with end stage heart failure. Acute rejection, a process where the immune system recognizes the transplanted heart as foreign and mounts a response against it, remains a clinical problem despite improvements in immunosuppressive drugs. Acute rejection occurs in 20-30% of patients within the first 3 months post-transplant, and is currently detected by highly invasive heart tissue biopsies that happen 12-15 times in the first year post-transplant. Replacing the biopsy with a simple blood test is of utmost value to patients and will reduce healthcare costs. The goal of our project is to develop a new blood test to monitor heart transplant rejection. Advances in biotechnology have enabled simultaneous measurement of many molecules (e.g., proteins, nucleic acids) in blood, driving the development of new diagnostics. Our team is a leader in using computational tools to combine information from numerous biological molecules and clinical data to generate "biomarker panels" that are more powerful than existing diagnostic tests. Our sophisticated analytic methods has recently derived HEARTBiT, a promising test of acute rejection comprising 9 RNA biomarkers, from the measurement of 30,000 blood molecules in 150 Canadian heart transplant patients. Our objective is to study a custom-built HEARTBiT test in a setting and on a technology that enable clinical adoption. We will evaluate the new test on 400 new patients from 5 North American transplant centres. We will also track patients' HEARTBiT scores over time to help predict future rejection, and explore use of proteins and micoRNAs to improve HEARTBiT. Our work will provide the basis for a future clinical trial. The significance of this work rests in that it will provide a tool to identify acute cardiac rejection in a fast, accurate, cost-effective and minimally invasive manner, allowing for facile long-term monitoring and therapy tailoring for heart transplant patients.
- Detailed Description
Rationale:
Cardiac transplantation remains the main intervention for those with end-stage heart failure. Maintenance immunosuppression is given to all transplant recipients to prevent acute rejection and loss of the allograft. Despite great improvements in immunosuppressive therapies, acute rejection remains a clinical problem and occurs at varying severity in 20-30% of patients within the first 3 months post-transplant. Timely detection of moderate rejection allows for treatment to be modified, preventing organ damage, graft failure and patient death. The current method to monitor for rejection remains the endomyocardial biopsy (EMB), a highly invasive and costly procedure that poses physical risks and emotional stress to patients, who must undergo 12-15 such tests during the first year post-transplant. EMB detects rejection only when tissue damage has occurred, and lacks sensitivity as it provides information about tiny pieces of the endomyocardium. Clearly, patients and clinicians would benefit from an effective, cheaper, less invasive diagnostic test that can indicate when an EMB is not needed.
Our team used unbiased omics strategies and computational tools to identify potential biomarkers of treatable acute rejection (ISHLT grade 2R or higher) in peripheral blood. We hypothesize that there are distinctive RNA and protein signatures in blood that can be developed into a simple test to accurately indicate when heart transplant patients do not require EMB, and that studying these biomarkers in a clinically relevant setting will facilitate clinical adoption.
Our Specific Aims are to:
1. Evaluate the performance of HEARTBiT, a custom 9-mRNA biomarker test developed on the NanoString platform, in an environment suitable for clinical translation, on \>4000 newly collected samples from 400 patients across North America
2. Examine the biomarker panel score and individual biomarkers serially across the first year post-transplant to identify predictive signatures of rejection and characterize underlying biology
3. Develop and assess 5 promising protein biomarker candidates on NanoString, test 7 candidate miRNAs, and evaluate combinatorial RNA-protein classifier performance metrics to improve HEARTBiT
Expertise: Our team at the Centre of Excellence for Prevention of Organ Failure has over 10 years experience in computational analysis of omics and clinical data to create biomarker tests that out-perform current gold standards. Our Biomarkers in Transplantation (BiT) study has been continuously funded by competitive grants, philanthropy and industry between 2004-2017 and has generated many publications related to heart and kidney transplant rejection. Via our collaborators, we will have access to a Canadian Blood Services facility for testing our biomarkers, and patient samples from 5 major transplant sites (St. Paul's/Vancouver, Toronto, Nebraska, Newark Beth Israel, Duke).
Outcomes: The HEARTBiT test will be ready for clinical utility studies. The test will have significant clinical and socioeconomic value by reducing EMBs for transplant patients and enabling the tailoring of therapy. Insights into the biology of immune rejection will also be enhanced.
Recruitment & Eligibility
- Status
- ACTIVE_NOT_RECRUITING
- Sex
- All
- Target Recruitment
- 196
Not provided
Not provided
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Comparison of the HEARTBiT Biomarker Panel Score (BPS) between acute rejection and non-rejection/mild-rejection samples on the NanoString platform. Within 5 years The performance of HEARTBiT, a custom 9-RNA biomarker assay developed on the NanoString platform, will be evaluated in an environment suitable for clinical translation using a sample size of \~4000 newly collected samples from 400 HT patients. Performance will be assessed by applying an algorithm that combines the quantitative data of the 9 RNA into a single BPS. This score aggregates the influence of all RNAs and will be associated with an estimated probability that AR is occurring in the transplant recipient. The algorithm will establish a single cutoff thus producing a final binary test result (AR or NR/MR), or, if possible, two cutoffs to separate AR, MR and NR as ordered variables.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (4)
Ottawa Heart Institute
🇨🇦Ottawa, Ontario, Canada
Toronto General Hospital UHN
🇨🇦Toronto, Ontario, Canada
University of Nebraska Medical Center
🇺🇸Omaha, Nebraska, United States
St. Paul's Hospital
🇨🇦Vancouver, British Columbia, Canada