Your browser doesn't support javascript.
loading
Metabolic profiling in tissues and urine of patients with prostatic lesions and the diagnostic value of urine extracellular vesicles metabolites in prostate cancer.
Ding, Ting; He, Weixiang; Yan, Hua; Wei, Zhen; Zeng, Xianfei; Hao, Xiaoke.
Affiliation
  • Ding T; Department of Clinical Laboratory Medicine, Xijing Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China; School of Medicine, Northwest University, Xi'an, China.
  • He W; Department of Urology, Xijing Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China.
  • Yan H; The National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, China.
  • Wei Z; School of Medicine, Northwest University, Xi'an, China; Shanxi Lifegen Co., Ltd., Xi'an, China.
  • Zeng X; School of Medicine, Northwest University, Xi'an, China; Shanxi Lifegen Co., Ltd., Xi'an, China. Electronic address: mumufly@126.com.
  • Hao X; Department of Clinical Laboratory Medicine, Xijing Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China; School of Medicine, Northwest University, Xi'an, China. Electronic address: haoxkg@fmmu.edu.cn.
Clin Chim Acta ; 556: 117845, 2024 Mar 15.
Article in En | MEDLINE | ID: mdl-38403146
ABSTRACT

BACKGROUND:

Prostate cancer (PCa) lacks convenient and highly specific diagnostic markers. Although the value of extracellular vesicles (EV) in oncology is widely recognized, the diagnostic value of EV metabolites requires further exploration. This study aimed to explore the diagnostic value of urine EV (u-EV) metabolomics in PCa.

METHODS:

We first detected metabolites in paired tissues cells (cells), tissue EV (t-EVs), u-EVs, and urine samples in cohort 1 (8 PCa vs. 5 benign prostatic hypertrophy, BPH) to prob the feasibility of EV metabolites as diagnostic markers. We then analyzed the value of u-EVs as markers for PCa diagnosis and typing in the expanded sample cohort (60 PCa vs. 40 BPH).

RESULTS:

U-EV metabolites were more consistent with those in tissue-derived samples (cells and t-EVs) than those in urine, and more differential metabolites between BPH and PCa were identified in u-EV. Subsequently, we used a random forest model to construct a panel of six metabolites for PCa, which showed an area under the curve (AUC) of 0.833 in training cohort and 0.844 in validation cohort. We also found significantly differentially expressed metabolites between PCa subtypes (Gleason ≤ 7 vs. Gleason > 7 and localized vs. metastasis), demonstrating the value of EV metabolites in PCa typing and prognostic assessment.

CONCLUSION:

Metabolomic analysis of u-EVs is a promising source of noninvasive markers for PCa diagnosis.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Hyperplasia / Prostatic Neoplasms / Extracellular Vesicles Limits: Humans / Male Language: En Journal: Clin Chim Acta Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Hyperplasia / Prostatic Neoplasms / Extracellular Vesicles Limits: Humans / Male Language: En Journal: Clin Chim Acta Year: 2024 Document type: Article Affiliation country: Country of publication: