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

Biomarker Multiparametric MRI Prostate cancer Urine spermine

Journal

Prostate international
ISSN: 2287-8882
Titre abrégé: Prostate Int
Pays: Korea (South)
ID NLM: 101605566

Informations de publication

Date de publication:
Sep 2023
Historique:
received: 20 02 2023
revised: 07 07 2023
accepted: 16 07 2023
medline: 25 9 2023
pubmed: 25 9 2023
entrez: 25 9 2023
Statut: ppublish

Résumé

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). 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). 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, 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.

Identifiants

pubmed: 37745906
doi: 10.1016/j.prnil.2023.07.003
pii: S2287-8882(23)00036-3
pmc: PMC10513900
doi:

Types de publication

Journal Article

Langues

eng

Pagination

180-185

Informations de copyright

© 2023 The Asian Pacific Prostate Society. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

KL Wong holds a patent for urinary polyamines as prostate cancer detection biomarkers (patent no. US20180172695A1). This does not alter our adherence to “prostate international” policies on sharing data and materials. The other authors declare that they have no conflicts of interest.

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Auteurs

Shuji Isotani (S)

Department of Urology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Peter Ka-Fung Chiu (P)

SH Ho Urology Centre, Division of Urology, Department of Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China.

Takeshi Ashizawa (T)

Department of Urology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Yan-Ho Fung (YH)

Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China.

Takeshi Ieda (T)

Department of Urology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Toshiyuki China (T)

Department of Urology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Haruna Kawano (H)

Department of Urology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Fumitaka Shimizu (F)

Department of Urology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Masayoshi Nagata (M)

Department of Urology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Yuki Nakagawa (Y)

Department of Urology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Satoru Muto (S)

Department of Urology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Ka-Leung Wong (KL)

Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China.

Chi-Fai Ng (CF)

SH Ho Urology Centre, Division of Urology, Department of Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China.

Shigeo Horie (S)

Department of Urology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Classifications MeSH