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  11. Development Of A Prognostic Model For Muscle-invasive Bladder Cancer Using Glutamine Metabolism

Development of a prognostic model for muscle-invasive bladder cancer using glutamine metabolism

Sida Hao1, Lin Shen2, Pengju Liu2

  • 1Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China; Department of Urology, Zhejiang Integrated Traditional Chinese and Western Medicine Hospital, Hangzhou, 310003, Zhejiang, China.

Computers in Biology and Medicine
|March 2, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

This study reveals a causal link between blood metabolites and bladder tumors, developing a 9-gene glutamine metabolism (GM) risk model. This model aids in predicting prognosis and guiding treatment for muscle-invasive bladder cancer (MIBC) patients.

Area of Science:

  • Oncology
  • Metabolomics
  • Cancer Genomics

Background:

  • Muscle-invasive bladder cancer (MIBC) presents significant clinical challenges due to its invasiveness and poor prognosis.
  • Altered cellular metabolism, particularly glutamine metabolism (GM), is increasingly recognized as a hallmark of cancer.
  • The specific role of GM in MIBC's clinical outcomes, immune microenvironment, and response to immunotherapy remains largely unexplored.

Purpose of the Study:

  • To investigate the causal relationship between blood metabolites and bladder tumors using a Mendelian randomization approach.
  • To identify prognostic genes associated with glutamine metabolism in MIBC.
  • To develop and validate a predictive model for prognosis and treatment response in MIBC based on GM.

Main Methods:

  • Mendelian randomization analysis was performed to assess causal links between blood metabolites and bladder tumors.
Keywords:
Glutamine metabolismImmune infiltrationMendelian randomizationMetabolic reprogramming

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  • Systematic evaluation of 373 glutamine metabolism-related genes identified prognostic markers.
  • A prognostic risk model was constructed using identified GM genes and validated in an external cohort.

    • Main Results:

    • Identified 14 blood metabolites causally linked to bladder tumors.
    • Developed a 9-gene risk model for predicting overall survival (OS) in MIBC patients, validated in a GEO cohort.
    • Correlations were observed between risk groups, tumor microenvironment, immune infiltration, and sensitivity to immunotherapies and anticancer drugs.

    Conclusions:

    • Confirmed a causal relationship between specific blood metabolites and bladder tumors.
    • A novel 9-gene risk scoring model based on glutamine metabolism demonstrates potential for predicting MIBC prognosis.
    • This GM-based model may assist in personalized treatment strategies for muscle-invasive bladder cancer.
    Muscle-invasive bladder cancer