Urine spermine and multiparametric magnetic resonance imaging for prediction of prostate cancer in Japanese men

Shuji Isotani*, Peter Ka-Fung Chiu, Takeshi Ashizawa, Yan Ho Fung, Takeshi Ieda, Toshiyuki China, Haruna Kawano, Fumitaka Shimizu, Masayoshi Nagata, Yuki Nakagawa, Satoru Muto, Ka Leung Wong, Chi Fai Ng, Shigeo Horie

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

Objectives: To investigate the role of urine spermine and spermine risk score in predicting prostate cancer (PCa) diagnoses in combination with multiparametric magnetic resonance imaging (mpMRI).

Methods: Three hundred forty seven consecutive men with elevated prostate-specific antigen (PSA) with mpMRI examination were prospectively enrolled in this study. In 265 patients with PSA levels between 4 and20 ng/ml, pre-biopsy urine samples were analyzed for spermine levels with ultra-high performance liquid chromatography (UPLC-MS/MS). Transperineal image-guided prostate biopsies with 16-18 cores were performed. Logistic regressions were used to form different models for the prediction of the PCa, and the performances were compared using the area under the curve (AUC).

Results: The median serum PSA level and prostate volume were 7.4 ng/mL and 33.9 mL, respectively. PCa and high-grade PCa (ISUP group ≥2, HGPCa) were diagnosed in 66.0% (175/265) and 132/265 (49.8%) cases, respectively. The urine spermine levels were significantly lower in men with PCa (0.87 vs. 2.20, P < 0.001). Multivariate analyses showed that age, PSA, PV, urine spermine level, and Prostate Imaging Reporting and Data System (PI-RADS) findings were independent predictors for PCa. The Spermine Risk Score is a multivariable model including PSA, age, prostate volume, and urine spermine. Adding the Spermine Risk Score to PI-RADS improved the AUC from 0.73 to 0.86 in PCa and from 0.72 to 0.83 in high grade PCa (HGPCa) prediction (both P < 0.001). At 90% sensitivity for HGPCa prediction using Spermine Risk Score, 31.1% of unnecessary biopsies could be avoided. In men with equivocal MRI PI-RADS score 3, the AUC for HGPCa prediction was 0.58, 0.79, and 0.87 for PSA, PSA density, and Spermine Risk Score, respectively.

Conclusion: Urine Spermine Risk Score, including mpMRI could accurately identify men at high risk of HGPCa and reduce unnecessary prostate biopsies. Spermine Risk Score could more accurately predict HGPCa than PSA density in men with MRI showing equivocal PI-RADS 3 lesions.
Original languageEnglish
Pages (from-to)180-185
Number of pages6
JournalProstate International
Volume11
Issue number3
DOIs
Publication statusPublished - Sept 2023

Scopus Subject Areas

  • Urology

User-Defined Keywords

  • Biomarker
  • Multiparametric MRI
  • Prostate cancer
  • Urine spermine

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