Biomarkers for predicting bladder cancer therapy response

被引:0
|
作者
Mihai, Ioana aria [1 ]
Wang, Gang [1 ,2 ]
机构
[1] British Columbia Canc Vancouver Ctr, Dept Pathol & Lab Med, Vancouver, BC V5Z 4E6, Canada
[2] Univ British Columbia, Dept Pathol & Lab Med, Vancouver, BC V6T 2B5, Canada
关键词
Urine biomarkers; Tissue biomarkers; Blood biomarkers; Precision medicine; Genetic and epigenetic indicators; METASTATIC UROTHELIAL CARCINOMA; CALMETTE-GUERIN IMMUNOTHERAPY; CISPLATIN-BASED CHEMOTHERAPY; MULTIPLEX URINALYSIS TEST; DOSE-DENSE METHOTREXATE; DNA-DAMAGE RESPONSE; NEOADJUVANT CHEMOTHERAPY; RADICAL CYSTECTOMY; OPEN-LABEL; ADJUVANT CHEMOTHERAPY;
D O I
10.32604/or.2024.055155
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:533 / 547
页数:15
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