Polygenic risk scores for premagnetic resonance imaging risk stratification in men with clinically suspected prostate cancer

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Authors: Max P Fischer, Alena Mayer, Alice Braun, Julia Kraft, Carla Maria Hansen, Georg Lukas Baumgärtner, Patrick Asbach, Anwar R Padhani, Tobias Penzkofer, Frank König, Swapnil Awasthi, Marcus R Makowski
+2 more S. Ripke, Charlie Alexander Hamm
Cited by: 2
References: 36

Abstract

BACKGROUND: Men 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. METHODS: In 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. RESULTS: A 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). CONCLUSIONS: Genotype-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.

Fields of Study & Subjects

Prostate Cancer Diagnosis and Treatment Prostate Cancer Treatment and Research MRI in cancer diagnosis

Publication details

Journal / source
JNCI Journal of the National Cancer Institute
Publisher
Oxford University Press (OUP)
Volume
118
Issue
6
Pages
1063–1072
Publication date
28 January 2026
Language
EN