- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT00500617
Personalized Risk Evaluation and Diagnosis (Using Corus CAD or ASGES) in the Coronary Tree (PREDICT)
Identification of Gene Expression Patterns in Circulating Cells That Predict the Presence of Coronary Artery Disease
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The purpose of the PREDICT study is to develop and validate a diagnostic blood ASGES (age, sex, gene expression score) or Corus CAD for atherosclerotic coronary artery disease (CAD). The Corus CAD (Age/Sex/Gene Expression score - ASGES) will use quantitative real-time PCR (RT-PCR) to quantify the expression of multiple genes from circulating peripheral blood cells to assess the presence of clinically significant CAD in a patient.
This is a prospective, multi-center, observational study. Participation in the study does not alter clinical care. The only procedure required by the protocol is collection of a research blood sample. All other data collected will be in accordance with each participating institution's standard patient care.
The study is divided into four sequential segments with unique subjects and goals: ASGES (Corus CAD) discovery (segment 1), ASGES (Corus CAD) development (segment 2), ASGES (Corus CAD) validation (segment 3), and additional ASGES (Corus CAD) testing (segment 4). The primary analysis will be performed during the third segment of the study using a subset of the enrolled subjects ("primary subjects"). Primary subjects will be defined by additional eligibility criteria beyond the general eligibility criteria required for enrollment in the overall study. The additional, post-enrollment eligibility criteria will be based on clinical and demographic factors that are found during the course of the study to affect the expression of genes used in the ASGES (Corus CAD). Such factors will be identified during gene discovery and algorithm development. The post-enrollment eligibility criteria will be defined prior to the beginning of the ASGES (Corus CAD) validation segment of the study.
In addition, three substudies are planned and will enroll up to 1500 subjects.
- The first substudy will include subjects undergoing cardiac CT angiography (CTA) and aims to determine how gene expression correlates with total coronary atheroma burden, as measured by CTA.
- The second substudy examines sample handling and shipping conditions and does not affect the treatment of the subjects.
- The third substudy will focus on additional algorithm development and validation in a non-diabetic female patient population.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Alaska
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Anchorage, Alaska, United States, 99508
- Alaska Heart Institute
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California
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Beverly Hills, California, United States, 90210
- CV Medical Group Southern California
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La Jolla, California, United States, 92037
- Scripps Healthcare
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District of Columbia
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Washington, District of Columbia, United States, 20010
- Washington Hospital Medical Center
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Georgia
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Atlanta, Georgia, United States, 30309
- Fuqua Heart Center of Atlanta
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Minnesota
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Minneapolis, Minnesota, United States, 55407
- Minneapolis Heart Institute
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North Carolina
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Durham, North Carolina, United States, 27705
- Duke University Medical Center
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Pennsylvania
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Pittsburgh, Pennsylvania, United States, 15212
- Allegheny Hospital
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Tennessee
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Nashville, Tennessee, United States, 37232
- Vanderbilt University Medical Center
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Utah
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Salt Lake City, Utah, United States, 84107
- Intermountain Healthcare
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Referral for a coronary angiogram (either invasive X-ray angiography or coronary CTA)
Any one of the following clinical syndromes:
- chest pain syndrome, stable angina, or anginal equivalent suggesting myocardial ischemia
- low-risk unstable angin, or
- asymptomatic individuals with a high probability of CAD
Exclusion Criteria:
- History of myocardial infarction or known CAD
- Current Myocardial Infarct (MI), acute coronary syndrome with high-risk features or unstable angina with high-risk features
- New York Heart Association (NYHA) class III or IV congestive
- Inability to give informed congestive heart failures
- Severe left ventricular systolic dysfunction (LVEF<35%)
- Severe regurgitant or stenotic cardiac valve lesion
- Active or chronic systemic infection
- Rheumatologic, autoimmune or hematologic conditions
- Any organ transplant
- Immunosuppressive therapy
- Chemotherapy in the preceding year
- Major blood or blood product transfusion in the preceding 2 months
Study Plan
How is the study designed?
Design Details
- Observational Models: Other
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
segment 1
Gene discovery blood draw
|
Age/Sex/Gene Expression Score - ASGES
|
sement 2
Assay development blood draw
|
Age/Sex/Gene Expression Score - ASGES
|
segment 3
Assay validation blood draw
|
Age/Sex/Gene Expression Score - ASGES
|
segment 4
Additional assay testing blood draw (Note: post discovery diabetic subjects assigned to this group)
|
Age/Sex/Gene Expression Score - ASGES
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Algorithm AUC >0.50
Time Frame: 30days
|
The primary analysis will be performed during the third segment of the study using a subset of the enrolled subjects ("primary subjects").
The primary endpoint for the PREDICT study is a validated algorithm that can accurately classify subjects with and without any coronary artery lesion with a ≥50% diameter stenosis, as measured by Core Laboratory blinded quantitative coronary angiography.
In evaluating this endpoint, subjects will be classified as either cases or controls.
The endpoint will be assessed by calculating the area under the curve (AUC) for the algorithm score, and testing against an AUC = 0.50 to determine clinical utility, using an alpha level of 0.05 (two-sided).
|
30days
|
Collaborators and Investigators
Sponsor
Investigators
- Study Chair: Mark Monane, MD FACP CMQ, CardioDx
Publications and helpful links
General Publications
- Voros S, Elashoff MR, Wingrove JA, Budoff MJ, Thomas GS, Rosenberg S. A peripheral blood gene expression score is associated with atherosclerotic Plaque Burden and Stenosis by cardiovascular CT-angiography: results from the PREDICT and COMPASS studies. Atherosclerosis. 2014 Mar;233(1):284-90. doi: 10.1016/j.atherosclerosis.2013.12.045. Epub 2014 Jan 20.
- Daniels SE, Beineke P, Rhees B, McPherson JA, Kraus WE, Thomas GS, Rosenberg S. Biological and analytical stability of a peripheral blood gene expression score for obstructive coronary artery disease in the PREDICT and COMPASS studies. J Cardiovasc Transl Res. 2014 Oct;7(7):615-22. doi: 10.1007/s12265-014-9583-3. Epub 2014 Aug 14.
- Rosenberg S, Elashoff MR, Beineke P, Daniels SE, Wingrove JA, Tingley WG, Sager PT, Sehnert AJ, Yau M, Kraus WE, Newby LK, Schwartz RS, Voros S, Ellis SG, Tahirkheli N, Waksman R, McPherson J, Lansky A, Winn ME, Schork NJ, Topol EJ; PREDICT (Personalized Risk Evaluation and Diagnosis in the Coronary Tree) Investigators. Multicenter validation of the diagnostic accuracy of a blood-based gene expression test for assessing obstructive coronary artery disease in nondiabetic patients. Ann Intern Med. 2010 Oct 5;153(7):425-34. doi: 10.7326/0003-4819-153-7-201010050-00005.
- Beineke P, Fitch K, Tao H, Elashoff MR, Rosenberg S, Kraus WE, Wingrove JA; PREDICT Investigators. A whole blood gene expression-based signature for smoking status. BMC Med Genomics. 2012 Dec 3;5:58. doi: 10.1186/1755-8794-5-58.
- Lansky A, Elashoff MR, Ng V, McPherson J, Lazar D, Kraus WE, Voros S, Schwartz RS, Topol EJ. A gender-specific blood-based gene expression score for assessing obstructive coronary artery disease in nondiabetic patients: results of the Personalized Risk Evaluation and Diagnosis in the Coronary Tree (PREDICT) trial. Am Heart J. 2012 Sep;164(3):320-6. doi: 10.1016/j.ahj.2012.05.012. Epub 2012 Jul 24.
- Rosenberg S, Elashoff MR, Lieu HD, Brown BO, Kraus WE, Schwartz RS, Voros S, Ellis SG, Waksman R, McPherson JA, Lansky AJ, Topol EJ; PREDICT Investigators. Whole blood gene expression testing for coronary artery disease in nondiabetic patients: major adverse cardiovascular events and interventions in the PREDICT trial. J Cardiovasc Transl Res. 2012 Jun;5(3):366-74. doi: 10.1007/s12265-012-9353-z. Epub 2012 Mar 7.
- Elashoff MR, Wingrove JA, Beineke P, Daniels SE, Tingley WG, Rosenberg S, Voros S, Kraus WE, Ginsburg GS, Schwartz RS, Ellis SG, Tahirkheli N, Waksman R, McPherson J, Lansky AJ, Topol EJ. Development of a blood-based gene expression algorithm for assessment of obstructive coronary artery disease in non-diabetic patients. BMC Med Genomics. 2011 Mar 28;4:26. doi: 10.1186/1755-8794-4-26.
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
- Coronary Artery Disease
- Cardiovascular Disease
- Atherosclerosis
- Gene Expression
- CHD
- Precision Medicine
- CTA
- Biological Markers
- CAD
- Coronary Heart Disease
- Chest Pain
- GES
- CVD
- Molecular Genetics
- Angina Pectoris
- Corus CAD
- ASGES
- Clinical Validity
- CT Angiography
- Coronary angiorgram
- Age/Sex/Gene expression Score
- PREDICT
Additional Relevant MeSH Terms
Other Study ID Numbers
- CDX_000004
- PREDICT (CardioDx)
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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