Urinary markers for bladder cancer diagnosis: A review of current status and future challenges

医学 膀胱镜检查 膀胱癌 泌尿系统 背景(考古学) 尿细胞学 癌症 泌尿科 肿瘤标志物 内科学 肿瘤科 生物 古生物学
作者
Eisuke Tomiyama,Kazutoshi Fujita,Mamoru Hashimoto,Hirotsugu Uemura,Norio Nonomura
出处
期刊:International Journal of Urology [Wiley]
卷期号:31 (3): 208-219 被引量:27
标识
DOI:10.1111/iju.15338
摘要

Abstract Bladder cancer is a common urological cancer with a high recurrence rate that requires long‐term follow‐up, and early detection positively affects prognosis. To date, the initial diagnosis and follow‐up for bladder cancer rely on cystoscopy, which is an invasive and expensive procedure. Therefore, urinary markers for the detection of bladder cancer have attracted research attention for decades to reduce unnecessary cystoscopies. Urine, which is in continuous contact with bladder cancer, is considered a suitable fluid for providing tumor information. Urinary cytology is the only widely used urinary marker in clinical practice; however, it has poor sensitivity for low‐grade tumors; indicating the need for novel urinary markers. Considerable research has been conducted on this topic over the years, resulting in a complex landscape with a wide range of urinary markers, including protein‐, exfoliated cell‐, RNA‐, DNA‐, and extracellular vesicle‐based markers. Although some of these markers have been approved by the U.S. Food and Drug Administration and are commercially available, their use in clinical practice is limited. To facilitate clinical application, potential urinary markers must withstand prospective clinical trials and be easy for patients and clinicians to understand and utilize in a clinical context. This review provides a comprehensive overview of currently available and recently reported promising urinary markers for bladder cancer. Additionally, the challenges and the prospects of these urinary markers for clinical implementation in bladder cancer treatment were discussed.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
CodeCraft应助幸福咖啡豆采纳,获得10
1秒前
水123发布了新的文献求助10
1秒前
PSQ完成签到,获得积分10
1秒前
2秒前
首席或雪月完成签到,获得积分10
2秒前
2秒前
月中天梧桐栖完成签到,获得积分10
2秒前
飘逸翠曼完成签到,获得积分10
2秒前
Wdw2236完成签到,获得积分10
2秒前
3秒前
save完成签到,获得积分10
3秒前
骑马小张应助王kk采纳,获得10
4秒前
木木SCI完成签到 ,获得积分10
4秒前
hanye完成签到 ,获得积分10
4秒前
羊二呆发布了新的文献求助10
4秒前
暴躁的语堂完成签到,获得积分10
4秒前
SKSK完成签到,获得积分10
5秒前
jinyu完成签到,获得积分10
5秒前
5秒前
锦锐完成签到,获得积分10
5秒前
bdsb完成签到,获得积分10
5秒前
搞科研发布了新的文献求助30
6秒前
落寞电灯胆完成签到,获得积分10
6秒前
6秒前
变化球完成签到,获得积分10
6秒前
乖加油发布了新的文献求助10
6秒前
6秒前
as完成签到,获得积分10
7秒前
Truman发布了新的文献求助10
7秒前
酒石酸完成签到,获得积分10
7秒前
BingoTang完成签到,获得积分10
8秒前
afan完成签到 ,获得积分10
8秒前
可爱的函函应助CiCi采纳,获得10
8秒前
Yio完成签到 ,获得积分10
8秒前
9秒前
9秒前
纪云海完成签到,获得积分10
10秒前
jeonghan完成签到 ,获得积分10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6523523
求助须知:如何正确求助?哪些是违规求助? 8316550
关于积分的说明 17795757
捐赠科研通 5625396
什么是DOI,文献DOI怎么找? 2928232
邀请新用户注册赠送积分活动 1904970
关于科研通互助平台的介绍 1765086