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International journal of urology : official journal of the Japanese Urological Association · 2026

Reduced Uncoupling Protein 1 Expression in Periprostatic Adipose Tissue and Its Association With Higher Prostate Cancer Grade.

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Kashiwagi Eiji, Ushijima Miho, Ueda Shohei, Tsubonuma Yuto, Mizushima Yui, Sugita Yoshihiro, Matsukawa Takuo, Eto Masatoshi, Tomisaki Ikko, Minato Akinori

Аннотация

BACKGROUND: Periprostatic adipose tissue (PPAT) is increasingly recognized as a component of the prostate cancer (PCa) microenvironment. However, the role of uncoupling protein 1 (UCP1) in PPAT remains unclear. We investigated the association between PCa grade and UCP1 expression in PPAT.

METHODS: After institutional review board approval, we collected PPAT and abdominopelvic adipose tissue (APAT) samples from 83 Japanese patients who underwent robot-assisted radical prostatectomy for clinically localized PCa. UCP1 mRNA expression in PPAT was quantified by RT-qPCR and normalized to APAT expression (PPAT/APAT ratio). PPAT volume was estimated by computed tomography. Associations with pathological stage and International Society of Urological Pathology (ISUP) grade were evaluated, and logistic regression was performed to identify factors associated with high-grade disease (ISUP 4/5).

RESULTS: In the univariable logistic regression analysis, lower (log-transformed) UCP1 expression was significantly associated with high-grade PCa (ISUP 4/5) (odds ratio [OR] 0.415, 95% confidence interval [CI] 0.180-0.883, p = 0.027). Age, prostate serum antigen (PSA) concentration, and PPAT volume were not significantly associated with high-grade disease. In the multivariable analysis adjusted for age, PSA concentration, and PPAT volume, UCP1 expression remained independently associated with high-grade PCa (OR 0.438, 95% CI 0.188-0.945, p = 0.035). No other clinicopathological variables demonstrated independent associations.

CONCLUSIONS: Reduced UCP1 expression in PPAT was independently associated with high-grade PCa. PPAT UCP1 expression may represent a microenvironment-associated marker reflecting PCa severity.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты