Wan Xuebin, Wang Dan, Zhang Xiaoni, Xu Mingyan, Huang Yuying, Qin Wenjian, Chen Shifu
Department of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, P.R. China.
Department of Molecular Microbiology and Genetics, Institute for Microbiology and Genetics, University of Goettingen, Göttingen D‑37077, Germany.
Int J Oncol. 2025 Mar;66(3). doi: 10.3892/ijo.2025.5724. Epub 2025 Feb 7.
Bladder cancer (BCa) is a prevalent malignant neoplasm of the urinary tract with high incidence rate, frequent recurrence and rapid disease progression. Conventional approaches for diagnosing, prognosticating and monitoring BCa often rely on invasive procedures such as cystoscopy and tissue biopsy, which are associated with high costs and low patient compliance for follow‑up. Liquid biopsies have advantages, such as being non‑invasive, real‑time, and reproducible, in obtaining diverse biomarkers derived from cellular, molecular, proteomic and genetic signatures in urine or plasma samples. Although plasma‑based biomarkers have been clinically validated, urine provides greater specificity for directly assessing biological materials from urological sources. The present review summarizes advancements and current limitations in urinary protein, genetic and epigenetic biomarkers for disease progression and treatment response of BC, compares performance and application scenarios of urine and blood biomarkers and explores how urinary biomarkers may serve as an alternative or complementary tool to traditional diagnostic methods. The integration of urine‑based or plasma‑based biomarkers into existing diagnostic workflows offers promising avenues for improving accuracy and efficiency of diagnosis in the management of BCa. Notably, the emergence of synthetic biomarkers and urine metabolites, combined with artificial intelligence or bioinformatic technologies, has promise in the screening of potential targets. Continued research and validation efforts are needed to translate these findings into routine clinical practice, ultimately improving patient outcomes and decreasing the burden of BCa.
膀胱癌(BCa)是一种常见的泌尿系统恶性肿瘤,发病率高、复发频繁且疾病进展迅速。传统的膀胱癌诊断、预后评估和监测方法通常依赖于侵入性操作,如膀胱镜检查和组织活检,这些操作成本高且患者随访依从性低。液体活检在从尿液或血浆样本中获取源自细胞、分子、蛋白质组和基因特征的多种生物标志物方面具有非侵入性、实时性和可重复性等优势。尽管基于血浆的生物标志物已得到临床验证,但尿液在直接评估来自泌尿系统的生物材料方面具有更高的特异性。本综述总结了尿液蛋白质、基因和表观遗传生物标志物在膀胱癌疾病进展和治疗反应方面的进展及当前局限性,比较了尿液和血液生物标志物的性能及应用场景,并探讨了尿液生物标志物如何作为传统诊断方法的替代或补充工具。将基于尿液或血浆的生物标志物整合到现有的诊断流程中,为提高膀胱癌管理中诊断的准确性和效率提供了有前景的途径。值得注意的是,合成生物标志物和尿液代谢物的出现,结合人工智能或生物信息学技术,在潜在靶点的筛选方面具有前景。需要持续的研究和验证工作,将这些发现转化为常规临床实践,最终改善患者预后并减轻膀胱癌负担。