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Proteomic Profile of EPS-Urine through FASP Digestion and Data-Independent Analysis
Published on: May 8, 2021
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Metabolic profiling in tissues and urine of patients with prostatic lesions and the diagnostic value of urine
Ting Ding1, Weixiang He2, Hua Yan3
1Department 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.
Clinica Chimica Acta; International Journal of Clinical Chemistry
|February 25, 2024
Summary
Urine extracellular vesicle (EV) metabolomics shows promise for noninvasive prostate cancer (PCa) diagnosis. This study identified a panel of six metabolites in urine EVs that can help diagnose PCa and its subtypes.
Area of Science:
- Biochemistry
- Oncology
- Biomarker Discovery
Background:
- Prostate cancer (PCa) diagnosis lacks convenient and specific markers.
- Extracellular vesicles (EVs) show potential in oncology, but their metabolites need further study.
- Urine EVs (u-EVs) offer a noninvasive source for potential PCa biomarkers.
Purpose of the Study:
- To investigate the diagnostic value of urine extracellular vesicle (u-EV) metabolomics for prostate cancer (PCa).
- To assess the feasibility of EV metabolites as diagnostic markers.
- To explore the utility of u-EV metabolites in PCa typing and prognostic assessment.
Main Methods:
- Metabolite analysis was performed on paired tissues, tissue EVs (t-EVs), u-EVs, and urine samples.
- A cohort study compared metabolites in u-EVs from PCa patients and benign prostatic hypertrophy (BPH) controls.
- A random forest model was used to develop a diagnostic panel of six metabolites.
Main Results:
- Urine EV metabolites better reflected tissue composition than urine metabolites.
- More differential metabolites between PCa and BPH were found in u-EVs.
- A six-metabolite panel achieved an AUC of 0.833 (training) and 0.844 (validation) for PCa diagnosis.
- Differential metabolites were identified between PCa subtypes, indicating prognostic value.
Conclusions:
- Metabolomic analysis of urine extracellular vesicles (u-EVs) presents a promising noninvasive approach for PCa diagnosis.
- U-EV metabolites can aid in PCa typing and prognostic assessment.
- This method offers a potential new avenue for early and accurate PCa detection.

