Skip to main content
OpenTrials
Recruiting

NCT Number: NCT06398639

Polygenic Risk Stratification Combined With mpMRI to Identify Clinically Relevant Prostate Cancer

The goal of this clinical trial is to evaluate a screening method to detect clinically relevant prostate cancer. This clinical trial is using genetic data to determine a man's risk of cancer, together with multiparametric magnetic resonance imaging (mpMRI) to identify men with higher grade cancer.

The main questions it aims to answer are:

* If genetic data related to prostate cancer used with MRI can identify higher-grade, potentially fatal prostate cancer * What age a MRI is useful clinically for prostate cancer screening * If deep learning methods used with MRI when the genetic risk of the man is known can more accurately predict significant cancers

Participants will:

* Get a prostate specific antigen (PSA) blood test * Get an mpMRI * Get the results of their genetic data to determine if they are considered high-, intermediate-, or low-risk for prostate cancer based on the trials genetic testing * Follow-up for this trial based on the participants risk and findings from the PSA test and mpMRI

Recruiting

Interested in participating?

Request Info

Key information

Age range

40 year–69 year

Sex eligibility

Male

Study type

Interventional

Phase

Not applicable

Primary location

Howard University Hospital, Washington D.C., District of Columbia, United States

Loading trial locations.

About this study

Background:

  • Prostate cancer is the most commonly diagnosed cancer among men in the United States
  • Prostate cancer screening using the marker prostate-specific antigen (PSA) is controversial
  • PSA based screening is less effective, at least in part, because it rests on screening the entire population
  • Polygenic risk scores stratify men based on their prostate cancer genetic predisposition and may improve population level screening programs by focusing on men with higher risk of disease and sparing low risk men
  • It is critical that studies aiming to translate the development of an early-detection strategy are conducted within a diverse patient population to address prostate cancer mortality disparities

Study Design:

  • Plan to accrue 1,500 participants from both established biobanks and primary care offices
  • Participants will get an initial PSA screening blood test and an mpMRI
  • Participants will have their polygenic risk score determined from genome-wide association study (GWAS) data
  • Participant follow-up will be determined by PRS results, as well as if there are abnormal findings on their PSA screening and/or mpMRI

Objectives:

  • To evaluate a screening algorithm to detect clinically relevant prostate cancer (Gleason score ≥7) using genetic data (PRS) to determine risk of cancer and mpMRI to identify men with higher grade cancer
  • To determine optimal age to begin screening using PRS and mpMRI
  • To determine if rare variants in DNA repair enzymes could help refine screening
  • To determine if deep learning methods applied to mpMRI and informed by genetic risk can more accurately predict significant cancers

Prostate cancer screening using prostate specific antigen (PSA) is controversial. On the one hand, there is a reduction in prostate cancer mortality associated with screening. On the other, there is clear evidence that widespread and indiscriminate PSA based screening has led to over diagnosis and over treatment of prostate cancer. In part this is due to indiscriminate screening of all men, not just those at risk. Development and implementation of a screening strategy specifically targeting men at risk for potentially harmful prostate cancer, while sparing low risk men the burdens of screening, is urgently needed.

The investigators believe that integration of genetic testing and multiparametric MRI (mpMRI) will dramatically improve screening. Polygenic risk scores (PRS) have been developed to determine an individual's risk of prostate cancer and attempts have been made to create risk scores for clinically relevant disease. mpMRI has been established as an aid in differentiating clinically relevant from indolent prostate cancer.

Our scientific premise is that an integrated approach which leverages the strengths of both genetics and mpMRI will do more than simply risk stratify men into those at risk for and not at risk for prostate cancer; the investigators will stratify a population of men into those with and those without clinically relevant prostate cancer. The investigators hypothesize that genetic testing to first identify patients at risk of prostate cancer followed by mpMRI to determine who likely has clinically relevant disease represents an optimal strategy.

This study will determine if a polygenic risk score can be used in conjunction with mpMRI to identify Gleason score ≥7 cancer.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • They must have the ability to understand and the willingness to sign a written information consent document.
  • Estimated life expectancy of greater than 10 years.
  • No history of prostate cancer.
  • Participants must be between 40-69 years of age. This is the age at which screening for prostate cancer is recommended. This is due to younger patients not being at risk for the disease and older patients not benefiting from diagnosis.
  • No biopsy for prostate cancer within the past 5 years.
  • No prostate MRI within the past 5 years.

Exclusion criteria

  • Unwillingness to sign the informed consent form.
  • Contraindication to biopsy such as uncorrectable bleeding or coagulation disorder.
  • 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 would limit the safety of a biopsy and/or surgery.
  • Unable to undergo an MRI.

Treatment and study plan

Polygenic Risk Score (PRS)

Other

Participants will be put into PRS cohorts based on their genetic data.

All participants enrolled into the study will receive a PSA screening test and an mpMRI, regardless of their polygenic risk score.

Primary outcomes

  1. Risk Ratio - Three Age Groups

    Time frame: Through study completion, an average of 1 year.

    The ratio between men with high PRS and intermediate PRS in each of the three age groups (40-54, 55-64, 65-69) regardless of their ethnicity.

Secondary outcomes

  1. Risk Ratio - Six Age Groups

    Time frame: Through study completion, an average of 1 year.

    The ratio between men with high PRS and intermediate PRS in each of the six age groups (40-44, 45-49, 50-54, 55-59, 60-64, 65-69) regardless of their ethnicity.

  2. Rare Variants

    Time frame: Through study completion, an average of 1 year.

    Examine the extent to which the addition of rare variants to the PRS involves risk prediction. The weighting procedure will be implemented to account for oversampling of high risk cases.

Study contacts

Contact information is provided by the study sponsor or research team.

Adam S Kibel, MD, MHCM

CONTACT

[email protected]

(617) 525-7697

Daniella Furtado

CONTACT

[email protected]

(617) 525-8782

Sponsors and collaborators

Lead sponsor

Adam S. Kibel, MD

Other

Collaborators

  • National Cancer Institute (NCI)

Registry information

Acronym: PRS

Important dates

Study start
2024
Primary completion
2028
Study completion
2030
First posted
May 3, 2024
Registry last updated
Nov 10, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.