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Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors
Published on: March 29, 2019
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[Predictive biomarkers in bladder cancer]
1Institut für Pathologie, Westdeutsches Tumorzentrum, Universitätsmedizin Essen, Universität Duisburg-Essen, Essen, Deutschland. Henning.Reis@uk-essen.de.
Der Pathologe
|November 10, 2019
Summary
Molecular subtypes predict treatment response in advanced urothelial bladder cancer, guiding chemotherapy and immunotherapy. Further research is needed to fully understand their predictive roles and identify new biomarkers.
Area of Science:
- Oncology
- Molecular Pathology
- Cancer Therapeutics
Background:
- Advanced urothelial bladder cancer treatment has seen significant therapeutic advancements.
- Personalized medicine approaches are increasingly important for optimizing patient outcomes.
Purpose of the Study:
- To provide an overview of current and future therapeutic options for advanced urothelial bladder cancer.
- To highlight the role of molecular pathology in identifying therapy-predictive markers.
- To emphasize the growing importance of pathology in guiding cancer treatment decisions.
Main Methods:
- Review of current clinical study data and existing literature.
- Inclusion of expert knowledge and own findings.
- Focus on therapy prediction for platinum-based chemotherapy, immunotherapy, and other treatments.
Main Results:
- Molecular subtypes demonstrate predictive value for both platinum-based chemotherapy and immunotherapy.
- Specific DNA damage repair (DDR) gene alterations (ERCC2, ERBB2) and gene expression markers (EMMPRIN, survivin, HMGA2) show promise for chemotherapy efficacy prediction.
- Tumor mutation burden (TMB), tumor neoantigen burden (TNB), APOBEC signatures, and CD8+ T-cell signatures are key for predicting immunotherapy response.
Conclusions:
- Molecular subtypes are valuable predictors of treatment response in urothelial bladder cancer.
- Further investigation is necessary to fully elucidate the predictive capabilities of molecular subtypes.
- Biomarkers such as DDR gene alterations, specific gene expressions, and immune signatures are crucial for personalized therapy selection.

