Using microRNAs as Novel Predictors of Urologic Cancer Survival: An Integrated Analysis

小RNA 癌症 癌症研究 生物标志物 生物信息学
作者
Zhicong Chen,Yonghao Zhan,Jieshan Chi,Shuyuan Guo,Xinliang Zhong,Anbang He,Jianrong Zheng,Yanqing Gong,Xuesong Li,Liqun Zhou
出处
期刊:EBioMedicine [Elsevier BV]
卷期号:34: 94-107 被引量:13
标识
DOI:10.1016/j.ebiom.2018.07.014
摘要

Abstract Background MicroRNAs(miRNAs) are involved in the formation, maintenance, and metastasis of urologic cancer. Here, we aim to gather and evaluate all of the evidence regarding the potential role of miRNAs as novel predictors of urologic cancer survival. Methods A systematic review was performed to identify and score all of the published studies that evaluated the prognostic effects of miRNAs in kidney (KCa), bladder (BCa) or prostate cancer (PCa). Where appropriate, the summary effects of miRNAs on urologic cancer were meta-analysed. The reliability of those results was then further validated by an integrated analysis of the TCGA cohort and miRNA panel. Results Of 151 datasets, 80 miRNAs were enrolled in this systematic review. A meta-analysis of the prognostic qualities of each miRNA identified an objective association between miRNA and prognosis. miR-21 was identified as an unfavourable miRNA with the overall survival (HR:2.699, 1.76–4.14, P  Conclusions A miRNA panel may be able to determine the prognosis of urologic tumour more effectively and compensate for the unreliability of individual miRNA in estimating prognosis. More large-scale studies are therefore required to evaluate the unbiased prognostic value of miRNAs in urologic cancer effectively.

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
2秒前
呆萌绿海发布了新的文献求助10
3秒前
zz发布了新的文献求助10
4秒前
AidenZhang发布了新的文献求助10
4秒前
Chen完成签到 ,获得积分10
4秒前
chili发布了新的文献求助10
5秒前
llly666发布了新的文献求助10
6秒前
毛某某完成签到,获得积分10
6秒前
8秒前
丘比特应助不知名网友采纳,获得10
8秒前
9秒前
9秒前
江南即梦完成签到 ,获得积分10
9秒前
在水一方应助科研通管家采纳,获得10
10秒前
香蕉觅云应助科研通管家采纳,获得10
10秒前
SciGPT应助科研通管家采纳,获得10
10秒前
cdercder应助科研通管家采纳,获得10
10秒前
斯文败类应助科研通管家采纳,获得10
10秒前
10秒前
yuquan发布了新的文献求助10
10秒前
大个应助科研通管家采纳,获得10
10秒前
领导范儿应助科研通管家采纳,获得30
11秒前
Lucas应助科研通管家采纳,获得10
11秒前
11秒前
谢睿元发布了新的文献求助10
11秒前
斯文败类应助小懒猪采纳,获得10
11秒前
斯文败类应助科研通管家采纳,获得10
11秒前
CodeCraft应助科研通管家采纳,获得10
11秒前
无花果应助科研通管家采纳,获得10
11秒前
11秒前
NexusExplorer应助科研通管家采纳,获得10
11秒前
aajhajkahna应助科研通管家采纳,获得10
11秒前
我是老大应助科研通管家采纳,获得10
12秒前
香蕉觅云应助科研通管家采纳,获得10
12秒前
Criminology34应助科研通管家采纳,获得10
12秒前
12秒前
12秒前
Nole应助冰冰子采纳,获得10
13秒前
pinkyc发布了新的文献求助10
13秒前
13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
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7398875
求助须知:如何正确求助?哪些是违规求助? 9004322
关于积分的说明 19168162
捐赠科研通 7033871
什么是DOI,文献DOI怎么找? 3230671
关于科研通互助平台的介绍 2392880
邀请新用户注册赠送积分活动 2212460