Appraising Oncogenic Long Noncoding RNAs as Novel Biomarkers for Oral Tongue Squamous Cell Carcinoma: a Meta-Analysis

癌变 阶段(地层学) 肿瘤科 危险系数 长非编码RNA T级 内科学 生物 基底细胞 癌症研究 医学 病理 癌症 总体生存率 基因 下调和上调 遗传学 置信区间 古生物学
作者
Yiling J. Cheng,Yinghui Wang,Zhaolei Cui,Donghong Lin,Ming Zheng,Hui Cheng
出处
期刊:Clinical Laboratory [Clinical Laboratory Publications]
标识
DOI:10.7754/clin.lab.2019.190225
摘要

Long noncoding RNAs (lncRNAs) are rapidly emerging as a novel class of transcripts associated with tumorigenesis and prognosis of oral tongue squamous cell carcinoma (OTSCC). The goal of this study was to perform a meta-analysis of the prognostic utility of tumorigenic lncRNAs as novel biomarkers of OTSCC and their associations with the clinicopathological features of OTSCC.Online databases were searched for eligible studies. The hazard ratio (HR) with 95% CI was used to predict survival. The individual p-values for clinicopathological features were respectively combined using Fisher's method.A total of 11 studies covering 1,138 OTSCC cases were included for quantitative data synthesis. Oncogenic lncRNA expression signature was closely related to shortened overall survival (OS) of patients with OTSCC (HR = 1.85, 95% CI: 1.45 - 2.37, p = 0.001; I2 = 64.9%; p = 0.002). Stratified analysis based on clinicopathological features showed that abnormally expressed lncRNAs were significantly associated with clinical stage (p = 0.000), node metastasis (p = 0.025), T stage (p = 0.000), and nodal stage (p = 0.000).Collectively, oncogenic lncRNAs were implicated in the development and progression of OTSCC, and may serve as novel biomarkers for predicting the prognosis of OTSCC patients.

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
Yikepp发布了新的文献求助10
刚刚
1秒前
1秒前
2秒前
微眠完成签到,获得积分10
2秒前
wjx发布了新的文献求助40
2秒前
xuxingxing完成签到,获得积分10
3秒前
3秒前
3秒前
哈哈哈哈发布了新的文献求助10
4秒前
chrysophoron完成签到,获得积分10
4秒前
墨上筠发布了新的文献求助10
4秒前
杨鑫怡完成签到,获得积分20
4秒前
4秒前
赘婿应助QHJ采纳,获得10
4秒前
滴滴吹螺丝号完成签到,获得积分10
5秒前
6秒前
舒心渊思完成签到,获得积分10
6秒前
yuye_Liu发布了新的文献求助10
6秒前
钟梓袄发布了新的文献求助10
6秒前
xl发布了新的文献求助10
6秒前
淡定落雁完成签到,获得积分10
6秒前
呆萌的羊完成签到,获得积分10
6秒前
星辰完成签到,获得积分10
6秒前
Tera完成签到,获得积分10
7秒前
7秒前
7秒前
共享精神应助zlm采纳,获得10
8秒前
YM完成签到,获得积分10
8秒前
9秒前
围炉煮茶发布了新的文献求助10
9秒前
思源应助dayangmowang采纳,获得10
9秒前
量子星尘发布了新的文献求助10
10秒前
lllate发布了新的文献求助10
10秒前
11秒前
观察者完成签到 ,获得积分10
11秒前
孟虹沅应助Pppomelo采纳,获得10
11秒前
hh完成签到,获得积分10
11秒前
11秒前
11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
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Aerospace Engineering Education During the First Century of Flight 3000
Agyptische Geschichte der 21.30. Dynastie 3000
Les Mantodea de guyane 2000
从k到英国情人 1700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5776133
求助须知:如何正确求助?哪些是违规求助? 5627943
关于积分的说明 15441360
捐赠科研通 4908366
什么是DOI,文献DOI怎么找? 2641183
邀请新用户注册赠送积分活动 1589057
关于科研通互助平台的介绍 1543812