Urinary-derived extracellular vesicle microRNAs as non‐invasive diagnostic biomarkers for early-stage renal cell carcinoma

小RNA 阶段(地层学) 肾细胞癌 癌症 泌尿系统 肾癌 医学 肿瘤科 细胞外小泡 下调和上调 内科学 癌症研究 生物信息学 生物 基因 遗传学 细胞生物学 古生物学
作者
Yu Zhang,Yuanyuan Zhu,Yang Chen,Lele Zhang,Rong Wang,Xiaoyu Ding,Huizi Zhang,Chen‐Yu Zhang,Chen‐Yu Zhang,Wanjian Gu,Cheng Wang,Junjun Wang
出处
期刊:Clinica Chimica Acta [Elsevier BV]
卷期号:552: 117672-117672 被引量:5
标识
DOI:10.1016/j.cca.2023.117672
摘要

The potential of urinary-derived extracellular vesicle (uEV) microRNAs (miRNAs) as noninvasive molecular biomarkers for identifying early-stage renal cell carcinoma (RCC) patients is rarely explored. The present study aims to explore the possibility of uEV miRNAs as novel molecular biomarkers for distinguishing early-stage RCC.uEVs were extracted by ExoQuick-TC™ kit and miRNA concentrations were measured by RT-qPCR. ROC curves and bioinformatics analysis were employed to predict the diagnostic efficacy and regulatory mechanisms of dysregulated miRNAs.Through a multiphase case-control study on uEV miRNAs screening, training, and validation in RCC cells (ACHN, Caki-1) and control cells (HK-2) and in uEVs of 125 RCC patients and 128 age- and sex-matched controls, we successfully identified four uEVs miRNAs (miR-135b-5p, miR-196b-5p, miR-200c-3p, and miR-203a-3p) were significantly and stably upregulated in RCC in vitro and in vivo. When adjusted with estimated glomerular filtration rate (eGFR), the AUC of the three-uEV miRNA panel (miR-135b-5p, miR-200c-3p, and miR-203a-3p) was 0.785 (95 % CI = 0.729-0.842, P < 0.0001) for discriminating RCC patients from controls. Notably, this panel exhibited similar performance in distinguishing early-stage (stage Ⅰ) RCC patients, with an AUC of 0.786 (95 %CI = 0.727-0.844, P < 0.0001). Bioinformatics analysis predicted that candidate miRNAs were involved in cancer progressing.Our study identified a four uEV miRNAs panel (miR-135b-5p, miR-196b-5p, miR-200c-3p, and miR-203a-3p) may serve as an auxiliary noninvasive indication of early-stage RCC.
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
上官若男应助Changlu采纳,获得20
1秒前
1秒前
Suliove完成签到,获得积分10
2秒前
zys2001mezy发布了新的文献求助10
2秒前
郭一一完成签到,获得积分10
2秒前
2秒前
3秒前
明天会更美好完成签到,获得积分10
3秒前
醉眠关注了科研通微信公众号
3秒前
3秒前
4秒前
五五应助SRQ采纳,获得10
4秒前
4秒前
着慵懒时光的猫完成签到,获得积分10
4秒前
自由大叔完成签到,获得积分10
5秒前
5秒前
zhinian28发布了新的文献求助10
5秒前
JamesPei应助djbj2022采纳,获得10
5秒前
5秒前
6秒前
强健的鼠标完成签到,获得积分10
6秒前
jinghong完成签到 ,获得积分10
6秒前
6秒前
早日毕业完成签到,获得积分10
6秒前
6秒前
家伟发布了新的文献求助10
6秒前
三杠发布了新的文献求助20
7秒前
7秒前
biubiudididi发布了新的文献求助10
8秒前
开心的城发布了新的文献求助10
8秒前
李健应助Bonnie采纳,获得10
8秒前
搜集达人应助科研通管家采纳,获得10
8秒前
科目三应助科研通管家采纳,获得10
9秒前
lin应助wos采纳,获得10
9秒前
9秒前
感性的俊驰完成签到 ,获得积分10
9秒前
ll应助科研通管家采纳,获得10
9秒前
9秒前
Jasper应助科研通管家采纳,获得10
9秒前
大模型应助科研通管家采纳,获得10
9秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
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 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3969335
求助须知:如何正确求助?哪些是违规求助? 3514162
关于积分的说明 11172430
捐赠科研通 3249456
什么是DOI,文献DOI怎么找? 1794853
邀请新用户注册赠送积分活动 875437
科研通“疑难数据库(出版商)”最低求助积分说明 804809