Identification of serum miRNAs by nano-quantum dots microarray as diagnostic biomarkers for early detection of non-small cell lung cancer

doi:10.1007/s13277-015-4608-3

CORC > 上海财经大学 > 上海财经大学

	Identification of serum miRNAs by nano-quantum dots microarray as diagnostic biomarkers for early detection of non-small cell lung cancer
	Fan, Lihong 1; Qi, Huiwei 2; Teng, Junliang 3; Su, Bo 4; Chen, Hao 5; Wang, Changhui 1; Xia, Qing 6
刊名	TUMOR BIOLOGY
	2016-06
卷号	37 期号:6 页码:7777-7784
关键词	Non-small cell lung cancer SerummicroRNA Noninvasive biomarker Fluorescence quantum dots
ISSN号	1010-4283
DOI	10.1007/s13277-015-4608-3
英文摘要	Circulating microRNAs (miRNAs) are potential noninvasive biomarkers for cancer detection. We used preoperative serum samples from non-small cell lung cancer (NSCLC) patients and healthy controls to investigate whether serum levels of candidate miRNAs could be used as diagnostic biomarkers in patients with resectable NSCLC and whether they were associated with clinicopathologic characteristics. We initially detected expression of 12 miRNAs using quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) in preoperative serum samples of 94 NSCLC patients and 58 healthy controls. We further validated our results using the fluorescence quantum dots liquid bead array for differentially expressed miRNAs in serum samples of 70 NSCLC patients and 54 healthy controls. Receiver operating characteristic (ROC) analysis was performed to select the best diagnostic miRNA cutoff value. A predictive model of miRNAs for NSCLC was derived by multivariate logistic regression. We found that five serum miRNAs (miR-16-5p, miR-17b-5p, miR-19-3p, miR-20a-5p, and miR-92-3p) were significantly downregulated in NSCLC, while miR-15b-5p was significantly upregulated (p < 0.05). Multivariate logistic regression analysis revealed that miR-15b-5p, miR-16-5p, and miR-20a-5p expression were independent diagnostic factors for the identification of patients with NSCLC after adjustment for patient's age and sex. In addition, the expression of serum miR-106-5p was higher in stage I than in stages IIa-IIIb, and no significant association was observed between expression of miRNAs and other variables including pathological type, tumor size, and lymph nodes status. Six serum miRNAs could potentially serve as noninvasive diagnostic biomarkers for resectable NSCLC. The predictive model combining miR-15b-5p, miR-16-5p, and miR-20a-5p was the best diagnostic approach.
WOS研究方向	Oncology
语种	英语
出版者	SAGE PUBLICATIONS LTD
WOS记录号	WOS:000376464700077
内容类型	期刊论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/1280]
专题	上海财经大学
通讯作者	Qi, Huiwei
作者单位	1.Tongji Univ, Sch Med, Shanghai Peoples Hosp 10, Dept Respirat, Shanghai 200433, Peoples R China; 2.Tongji Univ, Sch Med, Shanghai Pulm Hosp, Dept Oncol, 507 Zhengmin Rd, Shanghai 200433, Peoples R China; 3.Shanghai Univ Finance & Econ, Sch Informat Management & Engn, Shanghai, Peoples R China; 4.Tongji Univ, Sch Med, Shanghai Pulm Hosp, Cent Lab, Shanghai 200433, Peoples R China; 5.Tongji Univ, Sch Med, Shanghai Peoples Hosp 10, Dept Oncol, Shanghai 200433, Peoples R China; 6.Nanjing Med Univ, Shanghai Peoples Hosp 10, Dept Respirat, Nanjing, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Fan, Lihong,Qi, Huiwei,Teng, Junliang,et al. Identification of serum miRNAs by nano-quantum dots microarray as diagnostic biomarkers for early detection of non-small cell lung cancer[J]. TUMOR BIOLOGY,2016,37(6):7777-7784.
APA	Fan, Lihong.,Qi, Huiwei.,Teng, Junliang.,Su, Bo.,Chen, Hao.,...&Xia, Qing.(2016).Identification of serum miRNAs by nano-quantum dots microarray as diagnostic biomarkers for early detection of non-small cell lung cancer.TUMOR BIOLOGY,37(6),7777-7784.
MLA	Fan, Lihong,et al."Identification of serum miRNAs by nano-quantum dots microarray as diagnostic biomarkers for early detection of non-small cell lung cancer".TUMOR BIOLOGY 37.6(2016):7777-7784.