MicroRNAs in urine supernatant as potential non-invasive markers for bladder cancer detection

尿 膀胱癌 小RNA 泌尿系统 癌症 生物标志物 医学 内科学 肿瘤科 癌症研究 生物 基因 遗传学
作者
Šárka Posp̂íšilová,E. Pazourková,A. Hořı́nek,A. Brisuda,Iveta Svobodová,Viktor Soukup,Jan Hrbáček,Otakar Čapoun,Tomáš Hanuš,Jaroslav Mareš,Marie Korabečná,Marek Babjuk
出处
期刊:Neoplasma [AEPress]
卷期号:63 (05): 799-808 被引量:51
标识
DOI:10.4149/neo_2016_518
摘要

Urinary bladder carcinoma contributes to 4% of newly diagnosed oncological diseases in the Czech Republic. Biomarkers for its early non-invasive detection are therefore highly desirable. Urine seems to be an ideal source of such biomarkers due to the content of cell-free nucleic acids, especially microRNAs (miRNAs).To find potential biomarkers among miRNAs in urine supernatant, we examined in total 109 individuals (36 controls and 73 bladder cancer patients) in three phases. In the first - discovery - phase, microarray cards with 381 miRNAs were used for miRNA analysis of 13 controls and 46 bladder cancer patients. In the second - verification - phase, the results of this first phase were verified on the same groups of subjects by single-target qPCR assays for the selected miRNAs. For the third - validation - phase, new independent samples of urine supernatant (23 controls and 27 bladder cancer patients) were analyzed using single-target qPCR assays for 13 verified in the previous phase. The results of all phases were normalized to miR-191, miR-28-3p, and miR-200b, which were selected as suitable for our study by the qBase+®.We found that miR-125b, miR-30b, miR-204, miR-99a, and miR-532-3p are significantly down-regulated in patients' urine supernatant. In our experiments, the analysis of miR-125 levels provided the highest AUC (0.801) with 95.65% specificity and 59.26% sensitivity, the analysis of miR-99a lead to AUC (0.738) with 82.61% specificity and 74.07% sensitivity. We demonstrate that levels of these miRNAs could potentially serve as promising diagnostic markers for the non-invasive diagnostics of bladder cancer.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Owen应助Joany采纳,获得10
1秒前
白柏233完成签到,获得积分10
2秒前
俊逸的香萱完成签到 ,获得积分10
2秒前
yueyue完成签到,获得积分10
4秒前
方方完成签到 ,获得积分10
4秒前
4秒前
leaolf应助科研通管家采纳,获得10
5秒前
leaolf应助科研通管家采纳,获得10
5秒前
英俊的铭应助科研通管家采纳,获得10
5秒前
酷波er应助科研通管家采纳,获得10
6秒前
桐桐应助科研通管家采纳,获得10
6秒前
6秒前
LJJ完成签到 ,获得积分10
7秒前
7秒前
7秒前
Assassion发布了新的文献求助30
10秒前
量子星尘发布了新的文献求助10
10秒前
蔡从安完成签到,获得积分20
12秒前
Joany发布了新的文献求助10
13秒前
小机灵鬼完成签到 ,获得积分10
15秒前
苗条而大河完成签到,获得积分10
15秒前
17秒前
ding应助沉静涵山采纳,获得10
17秒前
19秒前
严究生发布了新的文献求助10
22秒前
22秒前
量子星尘发布了新的文献求助10
24秒前
花花猪1989完成签到 ,获得积分10
27秒前
LHE发布了新的文献求助10
27秒前
livinglast完成签到 ,获得积分10
29秒前
Joany完成签到,获得积分10
30秒前
苗条的立果完成签到 ,获得积分10
31秒前
mmm4完成签到 ,获得积分10
32秒前
量子星尘发布了新的文献求助10
38秒前
38秒前
研友_n0kjPL完成签到,获得积分0
38秒前
昔昔完成签到 ,获得积分10
40秒前
41秒前
沉静涵山发布了新的文献求助10
41秒前
认真丹亦完成签到 ,获得积分10
41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
计划经济时代的工厂管理与工人状况(1949-1966)——以郑州市国营工厂为例 500
Comparison of spinal anesthesia and general anesthesia in total hip and total knee arthroplasty: a meta-analysis and systematic review 500
INQUIRY-BASED PEDAGOGY TO SUPPORT STEM LEARNING AND 21ST CENTURY SKILLS: PREPARING NEW TEACHERS TO IMPLEMENT PROJECT AND PROBLEM-BASED LEARNING 500
Modern Britain, 1750 to the Present (第2版) 300
Writing to the Rhythm of Labor Cultural Politics of the Chinese Revolution, 1942–1976 300
Lightning Wires: The Telegraph and China's Technological Modernization, 1860-1890 250
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 催化作用 遗传学 冶金 电极 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 4597489
求助须知:如何正确求助?哪些是违规求助? 4009045
关于积分的说明 12409850
捐赠科研通 3688315
什么是DOI,文献DOI怎么找? 2033094
邀请新用户注册赠送积分活动 1066346
科研通“疑难数据库(出版商)”最低求助积分说明 951586