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Urinary Metabolic Signatures Detect Recurrences in Non-Muscle Invasive Bladder Cancer.

Alba Loras1, M Carmen Martínez-Bisbal2,3,4,5, Guillermo Quintás6,7

  • 1Unidad Mixta de Investigación en Nanomedicina y Sensores, Universitat Politècnica de València-Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain.

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Summary
This summary is machine-generated.

This study identifies a urinary metabolomic signature for non-muscle invasive bladder cancer (NMIBC) recurrence using proton Nuclear Magnetic Resonance (¹H NMR) spectroscopy. This non-invasive approach shows potential for accurate bladder cancer monitoring.

Keywords:
biomarkerbladder cancermetabolic pathwaysmetabolitemetabolomicsnuclear magnetic resonancerecurrence prediction

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Area of Science:

  • Biochemistry
  • Oncology
  • Medical Diagnostics

Background:

  • Non-muscle invasive bladder cancer (NMIBC) requires lifelong monitoring due to high recurrence rates.
  • Current monitoring methods like cystoscopy and cytology have limitations, including low accuracy for low-grade tumors and invasiveness.
  • There is a need for more accurate and non-invasive methods for NMIBC follow-up.

Purpose of the Study:

  • To identify a urinary metabolomic signature for predicting NMIBC recurrence.
  • To evaluate the potential of proton Nuclear Magnetic Resonance (¹H NMR) spectroscopy for non-invasive bladder cancer monitoring.
  • To develop a discriminant model for detecting tumor recurrences.

Main Methods:

  • Analysis of urinary metabolome changes before and after transurethral resection (TUR) using ¹H NMR spectroscopy.
  • Development of a Partial Least Square Discriminant Analysis (PLS-DA) model to classify patients.
  • Assessment of the model's predictive value in a cohort of NMIBC patients undergoing monitoring.

Main Results:

  • The metabolomic profile trajectories demonstrated a negative predictive value of 92.7% for sample classification.
  • Pathway analysis revealed perturbed metabolism of taurine, alanine, aspartate, glutamate, and phenylalanine in NMIBC patients.
  • The ¹H NMR-based metabolomic approach showed potential for detecting bladder cancer recurrences.

Conclusions:

  • Urinary ¹H NMR metabolomics offers a promising non-invasive strategy for NMIBC recurrence detection.
  • Metabolomic signatures can aid in the accurate follow-up of bladder cancer patients.
  • This approach may overcome limitations of current diagnostic techniques.