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 癌 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
zxt完成签到 ,获得积分10
刚刚
刚刚
木青完成签到,获得积分10
刚刚
范晓圳完成签到 ,获得积分10
1秒前
1秒前
1秒前
1秒前
芋头完成签到 ,获得积分10
1秒前
单薄梦易发布了新的文献求助10
1秒前
mianmian完成签到,获得积分10
1秒前
xunmizizai完成签到,获得积分10
2秒前
饱满的帽子完成签到,获得积分10
2秒前
2秒前
小狗快跑发布了新的文献求助10
2秒前
争渡发布了新的文献求助10
2秒前
2秒前
123完成签到,获得积分10
2秒前
嘟嘟嘟发布了新的文献求助10
3秒前
An完成签到,获得积分20
3秒前
3秒前
沐子完成签到,获得积分10
3秒前
林麦麦发布了新的文献求助10
3秒前
lucky小蘑菇完成签到,获得积分10
4秒前
徐慕源完成签到,获得积分10
5秒前
yy完成签到,获得积分20
5秒前
6666666666666666完成签到,获得积分10
5秒前
5秒前
小王发布了新的文献求助10
5秒前
我本人lrx发布了新的文献求助10
5秒前
Fc完成签到 ,获得积分10
6秒前
6秒前
情怀的应助被大气映天采纳,获得10
6秒前
Aprilapple完成签到,获得积分10
7秒前
yh完成签到,获得积分10
7秒前
lalala发布了新的文献求助10
7秒前
顾矜的应助被八荒来犬采纳,获得10
7秒前
bamboo完成签到 ,获得积分10
7秒前
零a发布了新的文献求助10
7秒前
科研小菜鸡完成签到,获得积分10
7秒前
英姑的应助被panpan111采纳,获得10
8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
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Représentation chimique de la structure des kérogènes et des asphaltènes en fonction de leur origine et de leur degré d'évolution 800
Oncology Clinical Trials: Successful Design, Conduct, and Analysis, Second Edition 800
Stochastic Models in Operations Research,Vol. 2 600
Elektrische Feldverteilung in gasisolierten Anlagen unter Gleichspannungsbelastung 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8057908
求助须知:如何正确求助?哪些是违规求助? 9483238
关于积分的说明 21318782
捐赠科研通 7625806
什么是DOI,文献DOI怎么找? 3395002
关于科研通互助平台的介绍 2526007
邀请新用户注册赠送积分活动 2433387