ArticleJournal of the National Cancer Institute2026
Polygenic risk scores for premagnetic resonance imaging risk stratification in men with clinically suspected prostate cancer.
Article in Journal of the National Cancer Institute, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Commented on by
Authors and funding
14 authors.
Funding
Abstract
backgroundMen with suspected prostate cancer undergo magnetic resonance imaging (MRI) before biopsy. However, approximately 30%-50% of MRIs are negative (Prostate Imaging-Reporting and Data System [PI-RADS] score 1-2), representing a challenge for MRI resource utilization. This study evaluates prostate cancer polygenic risk scores and clinical markers to optimize MRI utilization.
methodsIn this prospective study, 500 cancer-suspected men of Western European descent scheduled for MRI (September 2017-December 2022) were enrolled. Exclusions included prior prostate cancer diagnosis, missing serum prostate-specific antigen (PSA), or PSA levels of at least 25 ng/mL. Patient-specific prostate cancer polygenic risk scores were calculated using genotype data obtained from saliva-derived DNA samples. Participants were grouped as MRI negative and positive (PI-RADS score 3-5). Logistic regression was used to calculate odds ratios (ORs) and to build multivariable risk models, including age, PSA, and polygenic risk scores for MRI positivity. Clinical utility was tested in a holdout test set using decision curve analysis.
resultsA total of 386 men (median age = 65 years, interquartile range [IQR] = 53-77 years) were eligible for analysis, which showed statistically significant associations between prostate cancer polygenic risk scores (OR = 1.56, 95% confidence interval [CI] = 1.23 to 1.98; P < .001) with MRI positivity, while PSA alone did not (OR = 1.17, 95% CI = 0.93 to 1.46; P = .18). The highest net benefit was shown using a multivariable age and prostate cancer polygenic risk score model, increasing the proportion of MRI-positive men by 14% compared with PSA alone (60% and 46%, respectively; P = .011).
conclusionsGenotype-informed risk stratification using prostate cancer polygenic risk scores could increase the proportion of cancer-suspicious findings at MRI, while identifying those who could safely avoid unnecessary MRI.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.