title: Identification of serum miRNAs by nano-quantum dots microarray as diagnostic biomarkers for early detection of non-small cell lung cancer.
abstract: 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.
authors.affiliation: Department of Respiration, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
authors.forename: Lihong
authors.initials: L
authors.lastname: Fan
authors.affiliation: Department of Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Road, Shanghai, 200433, People's Republic of China. huiwei_queen@163.com.
authors.forename: Huiwei
authors.initials: H
authors.lastname: Qi
authors.affiliation: School of information management and engineering, Shanghai University of Finance and Economics, Shanghai, People's Republic of China.
authors.forename: Junliang
authors.initials: J
authors.lastname: Teng
authors.affiliation: Central laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
authors.forename: Bo
authors.initials: B
authors.lastname: Su
authors.affiliation: Department of Oncology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
authors.forename: Hao
authors.initials: H
authors.lastname: Chen
authors.affiliation: Department of Respiration, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
authors.forename: Changhui
authors.initials: C
authors.lastname: Wang
authors.affiliation: Department of Respiration, Shanghai Tenth People's Hospital, Nanjing medical University, Jiangsu, People's Republic of China.
authors.forename: Qing
authors.initials: Q
authors.lastname: Xia
mesh_terms: D000368:Aged; D019540:Area Under Curve; D014408:Biomarkers, Tumor / Q000097:blood*; D002289:Carcinoma, Non-Small-Cell Lung / Q000097:blood* / Q000235:genetics / Q000473:pathology; D055088:Early Detection of Cancer / Q000379:methods*; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000097:blood* / Q000235:genetics / Q000473:pathology; D008207:Lymphatic Metastasis; D008297:Male; D035683:MicroRNAs / Q000097:blood* / Q000235:genetics; D008875:Middle Aged; D008957:Models, Genetic; D009367:Neoplasm Staging; D045663:Quantum Dots; D012334:RNA, Neoplasm / Q000097:blood* / Q000235:genetics; D012372:ROC Curve; D020133:Reverse Transcriptase Polymerase Chain Reaction; D046888:Tissue Array Analysis / Q000295:instrumentation / Q000379:methods*; D015854:Up-Regulation
chemical_list: D014408:Biomarkers, Tumor; D035683:MicroRNAs; D012334:RNA, Neoplasm
keywords: Fluorescence quantum dots; Non-small cell lung cancer; Noninvasive biomarker; Serum microRNA