Evidence mapPaperPMID 40636699Full record

ArticleFrontiers in oncology2025

Untargeted metabolomics revealed urinary metabolic pattern for discriminating prostate cancer from benign prostatic hyperplasia in Chinese participants.

Chenye Tang, Xiao Guo, Qian Zou, Xinghao Wang, Jian Sheng, Dan Shen, Chun Sun, Shuo Li, Ruilin Shen

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Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

9 authors.

Chenye Tang *Department of Urology, The Second Hospital of Jiaxing, Jiaxing, Zhejiang, China.
Xiao Guo *Department of Urology, The Second Hospital of Jiaxing, Jiaxing, Zhejiang, China.
Qian ZouDepartment of Urology, The Second Hospital of Jiaxing, Jiaxing, Zhejiang, China.
Xinghao WangJiaxing University Master Degree Cultivation Base, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Jian ShengDepartment of Science and Education, The Second Hospital of Jiaxing, Jiaxing, Zhejiang, China.
Dan ShenZhejiang Key Laboratory of Digital Technology in Medical Diagnostics, Dian Diagnostics Group Co., Ltd., Hangzhou, Zhejiang, China.
Chun SunDepartment of Urology, The Second Hospital of Jiaxing, Jiaxing, Zhejiang, China.
Shuo LiZhejiang Key Laboratory of Digital Technology in Medical Diagnostics, Dian Diagnostics Group Co., Ltd., Hangzhou, Zhejiang, China.
Ruilin ShenDepartment of Urology, The Second Hospital of Jiaxing, Jiaxing, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Precise screening and discriminating of prostatic hyperplasia (PH) could avoid unnecessary biopsy and overdiagnosis. However, the metabolic pattern of patients with prostatic hyperplasia in Chinese population is rarely reported. Methods: Urine samples of Chinese participants with prostate cancer (PCa), benign prostatic hyperplasia (BPH) and non-prostate diseases (NPD) were detected with four ultra-performance liquid chromatography/tandem mass spectrometric (UPLC-MS/MS) methods to profile the metabolic disturbance. Results: In patients with PH, the most significant dysregulation was observed in metabolites categorized as lipid or amino acid, especially those involved in histidine metabolism, purine metabolism, tryptophan metabolism and tyrosine metabolism. For discrimination BPH from PCa, apart from previously reported metabolites related to phospholipid metabolism or tryptophan metabolism, metabolites of dipeptides and androgenic steroids, such as leucylhydroxyproline and etiocholanolone glucuronide, also exhibited potential to discriminate PCa from BPH. Conclusion: This study conducts precise detection of urinary metabolomic pattern for patients with benign prostatic hyperplasia or prostate cancer, and could inform their potential application as discriminant biomarkers.

Indexed as

discriminant biomarkersprostate cancerprostatic hyperplasiauntargeted metabolomicsurinary metabolomics

Identifiers

PMID40636699
PMCPMC12238017

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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.