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膀胱癌尿液诊断标志物及诊断技术的研究应用进展

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膀胱癌是泌尿系统最常见的恶性肿瘤之一,成为威胁人类健康的重大疾病.目前膀胱癌诊断的金标准是膀胱镜检和病理学检查,但这些检查有创且痛苦.近几十年来,研究者一直试图在尿液中开发和鉴定用于膀胱癌无创诊断的肿瘤标志物.现有的研究发现,尿液中的脱落细胞、DNA、RNA、蛋白质、代谢物、外泌体等成分或标志物在膀胱癌的早期诊断、预后评估、复发监测、肿瘤残留判断等展示出良好性能和应用前景,而且已有诊断试剂盒获批上市,如UriFind,Bladder Epicheck等.此外,人工智能技术也已被应用于尿液细胞学检查,不但解决了敏感性低的难题,而且能大幅提高诊断效率.本文就近年来尿液诊断标志物和尿液诊断技术在膀胱癌精准诊疗中的进展进行综述,并展望了未来的发展趋势,以期为临床医生和研究者提供参考.
Research and application of urinary diagnostic markers and assays for bladder cancer
Bladder cancer is one of the most prevalent malignant tumors of the urinary system,which has become a major disease threatening human health worldwide.The current gold standards for diagnosis of bladder cancer are cystoscopy and pathology of biopsy,which are invasive and painful.For decades,researchers have been working towards identifying and developing non-invasive urinary tumor markers for the detction of bladder cancer.Currently,it has been discovered that various components or markers present in urine,such as exfoliated cells,DNA,RNA,proteins,metabolites,and exosomes,perform well and may be applied widely in early detection,prognosis assessment,recurrence monitoring,and residual tumor determination of bladder cancer.Diagnostic kits like UriFind and Bladder Epicheck have already received market approval.Furthermore,artificial intelligence technology is being utilized in cytology diagnosis to not only address the issue of low sensitivity but also enhance efficiency.This article reviews the progress made in recent years regarding urine diagnostic markers and assays for precision diagnosis and treatment of bladder cancer,it also offers insights into future development and serves as a reference for clinicians and researchers.

bladder cancerurine markersDNA methylationprecision diagnosticsartificial intelligence

刘楮、张成俊煜、陈泽华、潘柏林、陈旭

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中山大学孙逸仙纪念医院,泌尿外科,广州 510120

膀胱癌 尿液标志物 DNA甲基化 精准诊疗 人工智能

国家重点研发计划国家自然科学基金

2022YFC240830082322056

2024

中国科学(生命科学)
中国科学院

中国科学(生命科学)

CSTPCD北大核心
影响因子:0.725
ISSN:1674-7232
年,卷(期):2024.54(8)
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