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REVIEW

Biomarkers for predicting bladder cancer therapy response

IOANA MARIA MIHAI1, GANG WANG1,2,*

1 Department of Pathology and Laboratory Medicine, British Columbia Cancer Vancouver Centre, Vancouver, BC V5Z 4E6, Canada
2 Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 2B5, Canada

* Corresponding Author: GANG WANG. Email: email

Oncology Research 2025, 33(3), 533-547. https://doi.org/10.32604/or.2024.055155

Abstract

The advent of precision medicine has underscored the importance of biomarkers in predicting therapy response for bladder cancer, a malignancy marked by considerable heterogeneity. This review critically examines the current landscape of biomarkers to forecast treatment outcomes in bladder cancer patients. We explore a range of biomarkers, including genetic, epigenetic, proteomic, and transcriptomic indicators, from multiple sample sources, including urine, tumor tissue and blood, assessing their efficacy in predicting responses to chemotherapy, immunotherapy, and targeted therapies. Despite promising developments, the translation of these biomarkers into clinical practice faces significant challenges, such as variability in biomarker performance, the necessity for large-scale validation studies, and the integration of biomarker testing into routine clinical workflows. We also highlight the need for standardized methodologies and robust assays to ensure consistency and reliability. Future directions point towards longitudinal studies and the development of combination biomarker panels to enhance predictive accuracy. This review emphasizes the transformative potential of predictive biomarkers in improving patient outcomes and advocates for continued collaborative efforts to overcome existing barriers in this rapidly evolving field.

Keywords

Urine biomarkers; Tissue biomarkers; Blood biomarkers; Precision medicine; Genetic and epigenetic indicators

Cite This Article

APA Style
MIHAI, I.M., WANG, G. (2025). Biomarkers for predicting bladder cancer therapy response. Oncology Research, 33(3), 533–547. https://doi.org/10.32604/or.2024.055155
Vancouver Style
MIHAI IM, WANG G. Biomarkers for predicting bladder cancer therapy response. Oncol Res. 2025;33(3):533–547. https://doi.org/10.32604/or.2024.055155
IEEE Style
I. M. MIHAI and G. WANG, “Biomarkers for predicting bladder cancer therapy response,” Oncol. Res., vol. 33, no. 3, pp. 533–547, 2025. https://doi.org/10.32604/or.2024.055155



cc Copyright © 2025 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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