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Integrative Metabolomic and Transcriptomic Analysis for the Study of Bladder Cancer.

Alba Loras1, Cristian Suárez-Cabrera2,3, M Carmen Martínez-Bisbal4,5,6,7

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

Cancers
|May 19, 2019
PubMed
Summary
This summary is machine-generated.

Bladder cancer (BC) tissue and urine metabolic profiles show promise as diagnostic biomarkers. This study identified key metabolic signatures linked to BC, offering potential for improved diagnosis and therapy.

Keywords:
bladder cancercancer biomarkerscancer metabolic reprogrammingmetabolic pathwaysmetabolomicstranscriptomicstumor metabolome

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Area of Science:

  • Oncology
  • Metabolomics
  • Systems Biology

Background:

  • Metabolic reprogramming is a critical hallmark of cancer.
  • Understanding bladder cancer (BC) metabolism is crucial for developing novel diagnostic and therapeutic strategies.

Purpose of the Study:

  • Identify tissue and urinary metabolic signatures as biomarkers for BC.
  • Gain insights into BC tumor biology via gene-metabolite network analysis.
  • Integrate metabolomics and transcriptomics data for a comprehensive understanding.

Main Methods:

  • Analyzed bladder cancer (BC) and control tissue samples (n=44) using High-Resolution Magic Angle Spinning Nuclear Magnetic Resonance and microarrays.
  • Performed urinary profiling (n=35) to identify non-invasive BC diagnostic biomarkers.
  • Integrated metabolomics and transcriptomics data to study gene-metabolite networks.

Main Results:

  • Metabolic profiling achieved 100% sensitivity and specificity in classifying BC tissue samples.
  • Discriminant metabolites in BC tissues indicated alterations in amino acid, glutathione, and taurine pathways.
  • Urinary profiling showed good sensitivity (91%) and specificity (77%) in distinguishing BC from non-tumor urine samples, correlating with tissue metabolic perturbations.

Conclusions:

  • Tissue and urinary metabolic signatures can serve as effective biomarkers for bladder cancer (BC) diagnosis.
  • The identified urinary metabolic profile offers a potential non-invasive tool for BC diagnosis and patient follow-up.
  • Integrated metabolomics and transcriptomics data provide valuable insights into BC tumor biology and metabolic alterations.