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Updated: May 29, 2026

A Murine Orthotopic Bladder Tumor Model and Tumor Detection System
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A Murine Orthotopic Bladder Tumor Model and Tumor Detection System

Published on: January 12, 2017

A gene expression ratio-based diagnostic test for bladder cancer.

Lingsheng Dong1, Andrew J Bard, William G Richards

  • 1The Thoracic Surgery Oncology laboratory and the Division of Thoracic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Advances and Applications in Bioinformatics and Chemistry : AABC
|September 16, 2011
PubMed
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A new gene expression ratio test accurately diagnosed bladder cancer in 100% of samples. This method shows promise for improving early detection of bladder cancer, potentially aiding cytopathology screening.

Area of Science:

  • Oncology
  • Molecular Biology
  • Biotechnology

Background:

  • Bladder cancer diagnosis relies on methods like cystoscopy and cytology, which have limitations.
  • Early detection is crucial for effective bladder cancer treatment.
  • Novel diagnostic approaches are needed to improve accuracy and accessibility.

Purpose of the Study:

  • To evaluate a novel diagnostic method for bladder cancer based on gene expression ratios.
  • To determine the clinical relevance and accuracy of this gene expression-based technique for bladder cancer detection.

Main Methods:

  • Developed a diagnostic model using gene expression profiling data from normal and tumor bladder tissues.
  • Identified statistically significant genes with reciprocal expression levels.
Keywords:
and diagnosisbladder cancergene expression profiling

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Last Updated: May 29, 2026

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A Murine Orthotopic Bladder Tumor Model and Tumor Detection System

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  • Calculated gene pair expression ratios to assign diagnoses, validated with microarray data and RT-PCR.

    • Main Results:

    • A five-ratio test using six genes achieved 100% accuracy in distinguishing benign from malignant bladder tissues.
    • The diagnostic model was validated across multiple datasets and patient cohorts.
    • Statistical significance (P < 10(-6)) confirmed the robustness of the findings.

    Conclusions:

    • Gene expression ratios offer a promising approach for bladder cancer diagnosis.
    • This technique serves as a proof-of-principle for a new diagnostic tool.
    • May complement existing cytopathology methods for urine-based bladder cancer screening.