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Related Concept Videos

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

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Related Experiment Video

Updated: Jul 17, 2026

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
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Prototypical Visualization of Patient Similarities in cBioPortal to Enhance Decision-Making in Molecular Tumor

Jan Bossenz1, Iryna Manuilova1, Annemarie Bianka Weise1

  • 1Junior Research Group (Bio-)Medical Data Science, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.

Studies in Health Technology and Informatics
|May 17, 2025
PubMed
Summary

This study introduces new visualizations to improve patient similarity analysis for cancer treatment decisions in Molecular Tumor Boards (MTBs). These tools make it easier for clinicians to find and use information about similar patients to guide therapy.

Keywords:
Molecular Tumor BoardPatient SimilarityPrecision MedicineVisualization ToolscBioPortal

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Area of Science:

  • Oncology
  • Bioinformatics
  • Health Informatics

Background:

  • Patient similarity analysis is crucial for guiding cancer therapy decisions, especially in Molecular Tumor Boards (MTBs).
  • Current limitations in automated tools and visualization hinder efficient similarity assessments and individualized treatment planning.
  • Standardized approaches are needed to leverage molecular and clinical data for better patient stratification.

Purpose of the Study:

  • To develop a clinician-centered graphical user interface (GUI) for enhanced patient similarity analysis.
  • To support and improve decision-making processes within Molecular Tumor Boards (MTBs).
  • To address the need for better visualization tools in clinical oncology.

Main Methods:

  • Iterative design and evaluation cycles involving clinical experts.
  • Development of mock-ups for displaying patient similarities based on molecular data.
  • Focus on user preferences to ensure clinical relevance and usability.

Main Results:

  • Multiple visualization designs were created for patient similarity in cBioPortal.
  • Included are tabular views, network representations, and radar plots.
  • These visualizations aim to present complex molecular data effectively.

Conclusions:

  • Developed visualizations show potential for improving MTB decision-making by increasing accessibility of patient similarity data.
  • Further development will enhance functionality and clinical workflow integration.
  • Enhanced visualization tools can lead to more informed and personalized cancer treatment strategies.