清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Prognostic value of a microRNA signature in nasopharyngeal carcinoma: a microRNA expression analysis

鼻咽癌 医学 小RNA 肿瘤科 内科学 危险系数 比例危险模型 癌症 生存分析 生物标志物 置信区间 放射治疗 生物 基因 遗传学
作者
Na Liu,Nian-Yong Chen,Rui-Xue Cui,Wen-Fei Li,Yan Li,Rong-Rong Wei,Mei-Yin Zhang,Ying Sun,Bi-Jun Huang,Mo Chen,Qing-Mei He,Ning Jiang,Lei Chen,William C. Cho,Jing‐Ping Yun,Jing Zeng,Li-Zhi Liu,Li Li,Ying Guo,Hui‐Yun Wang,Jun Ma
出处
期刊:Lancet Oncology [Elsevier BV]
卷期号:13 (6): 633-641 被引量:284
标识
DOI:10.1016/s1470-2045(12)70102-x
摘要

Summary Background MicroRNAs (miRNAs) can be used as prognostic biomarkers in many types of cancer. We aimed to identify miRNAs that were prognostic in patients with nasopharyngeal carcinoma. Methods We retrospectively analysed miRNA expression profiles in 312 paraffin-embedded specimens of nasopharyngeal carcinoma from Sun Yat-sen University Cancer Center (Guangzhou, China) and 18 specimens of non-cancer nasopharyngitis. Using an 873 probe microarray, we assessed associations between miRNA signatures and clinical outcome in a randomly selected 156 samples (training set) and validated findings in the remaining 156 samples (internal validation set). We confirmed the miRNAs signature using quantitative RT-PCR analysis in 156 samples from a second randomisation of the 312 samples, and validated the miRNA signature in 153 samples from the West China Hospital of Sichuan University in Chengdu, China (independent set). We used the Kaplan-Meier method and log-rank tests to estimate correlations of the miRNA signature with disease-free survival (DFS), distant metastasis-free survival (DMFS), and overall survival. Findings 41 miRNAs were differentially expressed between nasopharyngeal carcinoma and non-cancer nasopharyngitis tissues. A signature of five miRNAs, each significantly associated with DFS, was identified in the training set. We calculated a risk score from the signature and classified patients as high risk or low risk. Compared with patients with low-risk scores, patients with high risk scores in the training set had shorter DFS (hazard ratio [HR] 2·73, 95% CI 1·46–5·11; p=0·0019), DMFS (3·48, 1·57–7·75; p=0·0020), and overall survival (2·48, 1·24–4·96; p=0·010). We noted equivalent findings in the internal validation set for DFS (2·47, 1·32–4·61; p=0·0052), DMFS (2·28, 1·09–4·80; p=0·030), and overall survival (2·87, 1·38–5·96; p=0·0051) and in the independent set for DFS (3·16, 1·65–6·04; p=0·0011), DMFS (2·39, 1·05–5·42; p=0·037), and overall survival (3·07, 1·34–7·01; p=0·0082). The five-miRNA signature was an independent prognostic factor. A combination of this signature and TNM stage had better prognostic value than did TNM stage alone in the training set (area under receiver operating characteristics 0·68 [95% CI 0·60–0·76] vs 0·60 [0·52–0·67]; p=0·013), the internal validation set (0·70 [0·61–0·78] vs 0·61 [0·54–0·68]; p=0·012), and the independent set (0·70 [0·62–0·78] vs 0·63 [0·56–0·69]; p=0·032). Interpretation Identification of patients with the five-miRNA signature might add prognostic value to the TNM staging system and inform treatment decisions for patients at high risk of progression. Funding Science Foundation of Chinese Ministry of Health, National Natural Science Foundation of China, Pearl River Scholar Funded Scheme, Guangdong Key Scientific and Technological Innovation Program, Guangdong Natural Science Foundation, Fundamental Research Funds for the Central Universities.

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
谦谦呆滴发布了新的文献求助10
1秒前
晨风完成签到,获得积分10
7秒前
xiw完成签到,获得积分10
37秒前
Aeeeeeeon完成签到 ,获得积分10
50秒前
Ttimer完成签到,获得积分10
1分钟前
1分钟前
谦谦呆滴发布了新的文献求助10
1分钟前
教授完成签到 ,获得积分10
1分钟前
简啦啦发布了新的文献求助10
1分钟前
神勇的天问完成签到 ,获得积分10
1分钟前
科研通AI6.3应助简啦啦采纳,获得10
1分钟前
如歌完成签到,获得积分10
2分钟前
lemon完成签到 ,获得积分10
2分钟前
羽化成仙完成签到 ,获得积分10
2分钟前
谦谦呆滴发布了新的文献求助10
2分钟前
2分钟前
Leo完成签到 ,获得积分10
3分钟前
蝎子莱莱xth完成签到,获得积分10
3分钟前
氢锂钠钾铷铯钫完成签到,获得积分10
3分钟前
Square完成签到,获得积分10
4分钟前
情怀应助科研通管家采纳,获得10
4分钟前
Jasper应助科研通管家采纳,获得10
4分钟前
naczx完成签到,获得积分0
4分钟前
verymiao完成签到 ,获得积分10
4分钟前
123456777完成签到 ,获得积分0
4分钟前
4分钟前
思源应助东明采纳,获得10
4分钟前
英俊的铭应助懒得起名字采纳,获得10
4分钟前
研友_RLNzvL完成签到,获得积分10
5分钟前
5分钟前
谦谦呆滴完成签到 ,获得积分10
5分钟前
bkagyin应助CheetahAzure采纳,获得10
5分钟前
斯文败类应助科研通管家采纳,获得10
6分钟前
6分钟前
CheetahAzure发布了新的文献求助10
6分钟前
7分钟前
7分钟前
ssassassassa完成签到 ,获得积分10
7分钟前
大熊完成签到 ,获得积分10
7分钟前
闪闪的雪卉完成签到,获得积分10
7分钟前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
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 7252857
求助须知:如何正确求助?哪些是违规求助? 8875013
关于积分的说明 18734258
捐赠科研通 6933387
什么是DOI,文献DOI怎么找? 3199778
关于科研通互助平台的介绍 2374554
邀请新用户注册赠送积分活动 2174470