ExosomeDx in MRI-negative Men With High PSA
Evaluation of Urinary Exosomes as a Risk Stratification Tool Among Men With Elevated PSAs and Negative Prostate MRIs
Magnetic resonance imaging (MRI) has become the current standard of care in risk stratifying men with an elevated Prostate-specific antigen (PSA) to determine who needs to undergo prostate biopsy, which is invasive and carries a 3-5% risk of serious infection. Recent data shows the negative predictive value of MRI to be only 77%, indicating that some men may inappropriately forego biopsy based on a negative MRI. Urinary exosomes can be captured and analyzed by the ExosomeDx (ExoDx) Prostate test, a urine based, gene signature derived from PCA3 (prostate cancer antigen 3) and ERG (erythroblast transformation-specific related gene), and SPDEF (SAM pointed domain-containing ETS transcription factor); ExoDx carries a 90% negative predictive value.
The use of ExoDx test among patients with negative MRIs has the potential to improve the risk stratification of patients with an elevated PSA in a way that the Urologist can more accurately determine which patients need to undergo prostate biopsy. In doing so, the Urologist can better risk-stratify which patients should undergo prostate biopsy and be exposed to the associated potential risks, and also be more confident about the safety of foregoing biopsy in those patients with negative MRI and negative ExoDx test.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Nikhil Waingankar, MD
- Phone Number: (718) 808-7777
- Email: nikhil.waingankar@mountsinai.org
Study Locations
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-
New York
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New York, New York, United States, 10019
- Mount Sinai West
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Sub-Investigator:
- Craig Nobert
-
New York, New York, United States, 10029
- Mount Sinai Hospital
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Contact:
- Nikhil Waingankar, MD
- Phone Number: 718-808-7777
- Email: nikhil.waingankar@mountsinai.org
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Principal Investigator:
- Nikhil Waigankar
-
New York, New York, United States, 10025
- Mount Sinai Morningside
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New York, New York, United States, 10003
- Mount Sinai Beth Israel / Union Square
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Sub-Investigator:
- Michael Palese
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New York, New York, United States, 11102
- Mount Sinai Queens
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Sub-Investigator:
- Nikhil Waigankar
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New York, New York, United States, 11234
- Mount Sinai Brooklyn
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Principal Investigator:
- Nikhil Waigankar
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
To be eligible to participate in this study, an individual must meet all the following criteria;
- Willingness to participate and provide signed and dated informed consent form
- Male (sex)
- Age ≥ 18 years
PSA screen-eligible, per investigator discretion
- 45-75 years of age for average risk
- 40-75 years of age for high risk
- PSA ≥ 2.0 ng/mL and ≤ 10.0 ng/mL
- MRI PIRADS score of 1 or 2
- ECOG 0-1
- Must have a negative urine culture prior to biopsy
- No prior prostate biopsies within the last 5 years (biopsy-naïve)
- Willingness to undergo a prostate biopsy as part of the diagnostic work-up
- Digital rectal exam with no palpable nodules
Exclusion Criteria:
An individual who meets any of the following criteria will be excluded from participation in this study;
- Prior or current histologic or pathologic confirmed diagnosis of prostate cancer
- Prior transrectal ultrasound within the last 5 years
- Any prior cancer diagnosis within the last 5 years
- On immunosuppression or predefined immunosuppressed state
- A known coagulopathy predisposition to bleeding
- Diagnoses of any uncontrolled intercurrent illness including, but not limited to, ongoing or active infection, symptomatic congestive heart failure, unstable angina pectoris, cardiac arrhythmia, or psychiatric illness/social situations that, in the opinion of the investigator, would limit compliance with study requirements
- Cognitive inability or psychiatric conditions that preclude informed decision making or compliance with study requirements (per investigator discretion)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Participants with elevated or rising PSA
Participants who have been diagnosed with an elevated or rising PSA as determined by their urologist, and who have a negative (PIRADS 1 or 2) prostate MRI will be offered enrollment in this trial.
ExoDx Study Kit will be collected onsite.
Participants will then be scheduled for transrectal ultrasound-guided or transperineal 12-core prostate biopsy as per the standard diagnostic practice.
|
A urine sample for ExoDx Study Kit will be collected onsite and shipped to Exosome Diagnostic's laboratory.
Participants will be scheduled for transrectal ultrasound-guided prostate biopsy as per the standard diagnostic practice after urinary test.
Participants will be scheduled for transperineal 12-core prostate biopsy as per the standard diagnostic practice after urinary test.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sensitivity
Time Frame: duration of study, average 3 months
|
Sensitivity is defined as the probability that clinically significant cancer is detected when it is cancer. Sensitivity = true positive cases / true positive cases + false negative cases |
duration of study, average 3 months
|
|
Specificity
Time Frame: duration of study, average 3 months
|
Specificity is defined as the probability that clinically significant cancer is not detected when it is not cancer. Specificity = true negative cases / true negative cases + false positive cases |
duration of study, average 3 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Cancer Detection Rate
Time Frame: duration of study, average 3 months
|
Cancer Detection Rate (CDR): Cancer detection rate is defined as the proportion of enrolled patients with histologically Gleason grade group 1+ cancers and as determined by the Investigator. Cancer detection rate = true positive (histologically Gleason grade 1+) / all tests performed |
duration of study, average 3 months
|
|
csPCa Detection Rate
Time Frame: duration of study, average 3 months
|
csPCa Detection Rate (csCDR): clinically significant cancer detection rate is defined as the proportion of enrolled patients with histologically Gleason grade group 2+ cancers. csPCa detection rate = true positive (histologically Gleason grade 2+) / all tests performed |
duration of study, average 3 months
|
|
Biopsy aversion rate
Time Frame: duration of study, average 3 months
|
Biopsy aversion rate is defined as the proportion of patients in whom the biopsy could have been potentially averted using ExosomeDx, as compared to decisions based on PSA density.
|
duration of study, average 3 months
|
|
Net Benefit
Time Frame: duration of study, average 3 months
|
Decision curve analysis will be used to calculate the net benefit of adding ExoDx to PSA density (including kinetics and density) and MRI in the diagnostic workflow following. Net benefit is calculated across a range of threshold probabilities, defined as the minimum probability of disease at which further intervention would be warranted, as net benefit = sensitivity × prevalence - (1 - specificity) × (1 - prevalence) × w where w is the odds at the threshold probability. |
duration of study, average 3 months
|
|
Diagnostic Accuracy
Time Frame: duration of study, average 3 months
|
Accuracy is defined as the potential of ExoDx to correctly detect the presences or absence of disease. Diagnostic Accuracy = (True Positive) + True Negative / All) * 100 |
duration of study, average 3 months
|
|
Positive Predictive Value (PPV)
Time Frame: duration of study, average 3 months
|
Positive predictive value is defined as the probability that an elevated ExoDx actually has cancer. Positive Predictive Value = (True Positive)/(True Positive + False Positive) |
duration of study, average 3 months
|
|
Negative Predictive Value (NPV)
Time Frame: duration of study, average 3 months
|
Negative predictive value is defined as the probability a negative ExoDx test does not cancer. Negative Predictive Value = (True Negative)/(True Negative + False Negative) |
duration of study, average 3 months
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Nikhil Waingankar, MD, Icahn School of Medicine at Mount Sinai
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- STUDY-24-00010
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- ANALYTIC_CODE
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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