Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Plasma Metabolomic Signature Predicting Deviation from Healthy Vascular Aging in Two European Cohorts.

Pulse (Basel, Switzerland)·2026
Same author

Paclitaxel-coated balloon adjunct for benign ureteral and ureteroenteric strictures: a narrative review and translational proposal for enhanced endourological patency.

Translational andrology and urology·2026
Same author

Ureteral Realignment with Allium Ureteral Stent as Treatment for Complete Ureteral Transection.

Archivos espanoles de urologia·2026
Same author

Multimodal treatment for failed pyeloplasty: Description of a new technique.

Urology case reports·2025
Same author

Urine metabolic analysis as a non-invasive method to predict biochemical recurrence in prostate cancer.

Translational andrology and urology·2025
Same author

Urine metabolic analysis as a noninvasive method to diagnose prostate cancer.

Urologic oncology·2025
Same journal

Bladder Foreign Body of Gastrointestinal Origin: A Case Report and Literature Review.

Archivos espanoles de urologia·2026
Same journal

Real-Time Shear Wave Elastography Combined With MRI-Ultrasound Cognitive Fusion Targeted Biopsy for Repeat Prostate Biopsy.

Archivos espanoles de urologia·2026
Same journal

Evaluating a DeepSeek-Based Case-Based Learning Approach for Teaching the Emergency Management of Urosepsis to Nursing Students.

Archivos espanoles de urologia·2026
Same journal

Association of Fibrosis-Related Gene Expression Profiles in Benign Ureteral Stricture Tissue With Restenosis After Ureteroplasty.

Archivos espanoles de urologia·2026
Same journal

Retrospective Comparison of Transurethral Prostatic Columnar Water Balloon Dilation and Pharmacotherapy for Moderate-to-Severe Benign Prostatic Hyperplasia: Efficacy, Safety and Compliance.

Archivos espanoles de urologia·2026
Same journal

Analysis of the Effect of Stepwise Refined Nursing on the Severity of Ureteral Stent-Related Symptom Clusters After Flexible Ureteroscopic Lithotripsy.

Archivos espanoles de urologia·2026
See all related articles

Related Experiment Video

Updated: Jan 9, 2026

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients
12:13

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients

Published on: November 19, 2019

7.2K

Metabolomics in Prostate Cancer: A Minimally Invasive Method Using Urine after Prostatic Massage to Predict Gleason

Jorge Panach-Navarrete1,2,3, Vannina González-Marrachelli1,2,4, José Manuel Morales-Tatay1,2,5

  • 1Department of Urology, University Clinic Hospital of Valencia, 46010 Valencia, Spain.

Archivos Espanoles De Urologia
|December 3, 2025
PubMed
Summary
This summary is machine-generated.

This study identified urinary biomarkers using nuclear magnetic resonance (NMR) to predict high-grade prostate cancer (Gleason grade ≥8). The model, combining metabolites and digital rectal examination (DRE) findings, shows high accuracy in risk stratification.

Keywords:
Gleason gradebiomarkermetabolomicsprostate cancer

More Related Videos

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
06:08

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

Published on: March 21, 2025

1.1K
Proteomic Profile of EPS-Urine through FASP Digestion and Data-Independent Analysis
14:48

Proteomic Profile of EPS-Urine through FASP Digestion and Data-Independent Analysis

Published on: May 8, 2021

7.6K

Related Experiment Videos

Last Updated: Jan 9, 2026

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients
12:13

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients

Published on: November 19, 2019

7.2K
A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
06:08

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

Published on: March 21, 2025

1.1K
Proteomic Profile of EPS-Urine through FASP Digestion and Data-Independent Analysis
14:48

Proteomic Profile of EPS-Urine through FASP Digestion and Data-Independent Analysis

Published on: May 8, 2021

7.6K

Area of Science:

  • Biochemistry
  • Oncology
  • Medical Diagnostics

Background:

  • Prostate cancer diagnosis and grading are critical for treatment decisions.
  • Identifying biomarkers for aggressive prostate cancer (Gleason grade ≥8) is essential.
  • Nuclear Magnetic Resonance (NMR) spectroscopy offers a potential tool for biomarker discovery.

Purpose of the Study:

  • To explore urinary biomarkers for predicting prostate cancer with Gleason grade 8 or higher.
  • To develop a predictive model using NMR-based metabolomics and clinical data.
  • To assess the model's accuracy in stratifying patients by Gleason grade.

Main Methods:

  • Urine samples were collected from patients undergoing prostate biopsy.
  • NMR spectroscopy was used to analyze urine metabolites.
  • Univariate and multivariate analyses were performed, incorporating clinical variables like digital rectal examination (DRE).
  • A predictive model was built using partial least squares-discriminant analysis (PLS-DA).

Main Results:

  • The study analyzed data from 107 prostate cancer patients (73 Gleason 6-7, 34 Gleason ≥8).
  • A predictive model incorporating 29 significant metabolites and DRE findings achieved an AUC of 0.92.
  • The model demonstrated high sensitivity (82%), specificity (92%), PPV (84%), and NPV (90%) for predicting Gleason grade ≥8.
  • Key metabolites were associated with amino acid metabolism and glycolysis.

Conclusions:

  • A combined model of urinary metabolites and clinical data (DRE) effectively stratifies prostate cancer risk by Gleason grade.
  • Metabolites involved in glycolysis and amino acid metabolism are significant predictors.
  • This minimally invasive approach can aid clinical decision-making, pending validation in larger studies.