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
刚刚
agou发布了新的文献求助10
1秒前
1秒前
hanbing完成签到,获得积分10
2秒前
Ting发布了新的文献求助10
2秒前
wen发布了新的文献求助10
2秒前
3秒前
越红完成签到,获得积分10
4秒前
Dr.HughZ发布了新的文献求助10
4秒前
自由珊完成签到 ,获得积分10
4秒前
jackten发布了新的文献求助10
5秒前
微笑翠桃完成签到,获得积分10
6秒前
6秒前
9秒前
9秒前
whl发布了新的文献求助10
10秒前
10秒前
田様应助白玲采纳,获得30
10秒前
Ava应助TailongShi采纳,获得30
10秒前
科研通AI6应助忧郁绿柏采纳,获得10
10秒前
医学完成签到,获得积分10
10秒前
zbz发布了新的文献求助10
11秒前
11秒前
路绪震发布了新的文献求助10
12秒前
12秒前
12秒前
传奇3应助微笑翠桃采纳,获得10
13秒前
华仔应助tph采纳,获得10
13秒前
一点发布了新的文献求助10
14秒前
14秒前
15秒前
easternliu完成签到,获得积分10
15秒前
发发发发布了新的文献求助10
16秒前
小蘑菇应助CC采纳,获得10
16秒前
进击的PhD应助ZYP采纳,获得10
16秒前
思源应助huihui采纳,获得20
17秒前
17秒前
dzyong发布了新的文献求助10
18秒前
skicular完成签到,获得积分20
18秒前
隐形的夏真完成签到,获得积分10
19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 Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
小学科学课程与教学 500
Study and Interlaboratory Validation of Simultaneous LC-MS/MS Method for Food Allergens Using Model Processed Foods 500
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 5643294
求助须知:如何正确求助?哪些是违规求助? 4760914
关于积分的说明 15020418
捐赠科研通 4801640
什么是DOI,文献DOI怎么找? 2566917
邀请新用户注册赠送积分活动 1524783
关于科研通互助平台的介绍 1484355