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      A Five-miRNA Panel Identified From a Multicentric Case–control Study Serves as a Novel Diagnostic Tool for Ethnically Diverse Non-small-cell Lung Cancer Patients

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          Abstract

          Circulating microRNAs (miRNAs) are promising biomarkers for cancer detection. However, multiethnic and multicentric studies of non-small-cell lung cancer (NSCLC) are lacking. We recruited 221 NSCLC patients, 161 controls and 56 benign nodules from both China and America. Initial miRNA screening was performed using the TaqMan Low Density Array followed by confirming individually by RT-qPCR in Chinese cohorts. Finally, we performed a blind trial from an American cohort to validate our findings. RT-qPCR confirmed that miR-483-5p, miR-193a-3p, miR-25, miR-214 and miR-7 were significantly elevated in patients compared to controls. The areas under the curve (AUCs) of the ROC curve of this five-serum miRNA panel were 0.976 (95% CI, 0.939–1.0; P < 0.0001) and 0.823 (95% CI, 0.75–0.896; P < 0.0001) for the two confirmation sets, respectively. In the blind trial, the panel correctly classified 95% NSCLC cases and 84% controls from the American cohort. Most importantly, the panel was capable of distinguishing NSCLC from benign nodules with an AUC of 0.979 (95% CI, 0.959–1.0) in the American cohort and allowed correct prediction of 86% and 95% stage I–II tumors in the Chinese and American cohorts, respectively. This serum miRNA panel holds the potential for diagnosing ethnically diverse NSCLC patients.

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          Highlights

          • A multiethnic, multicentric, case–control study was conducted to identify serum miRNA signature for diagnosing NSCLC.

          • A five-miRNA-based classifier for accurate diagnosis of NSCLC among patients of Chinese and America was constructed.

          • The five-miRNA panel allowed accurate detection of NSCLC especially stage I–II cases from normal and benign nodule subjects.

          Wang et al. constructed a five-miRNA-based classifier which provides the potential for accurate diagnosis of NSCLC among patients of Chinese and America from a multiethnic, multicentric, case–control study. More importantly, the five-miRNA panel allowed accurate detection of NSCLC cases especially stage I–II cases from normal and benign nodule subjects. These results suggest that the five-miRNA signature might be a useful biomarker for diagnosing NSCLC in ethnically diverse patients and help discriminate early stage NSCLC from normal and benign nodule subjects, which may benefit personalized therapy of NSCLC patients in the future.

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          Most cited references15

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          Serum microRNA signatures identified in a genome-wide serum microRNA expression profiling predict survival of non-small-cell lung cancer.

          Recent findings that human serum contains stably expressed microRNA (miRNA) have revealed a great potential of serum miRNA signature as disease fingerprints to predict survival. We used genome-wide serum miRNA expression analysis to investigate the role of serum miRNA in predicting prognosis of non-small-cell lung cancer (NSCLC). To control disease heterogeneity, we used patients with stages I to IIIa lung adenocarcinoma and squamous cell carcinoma, who were treated with both operation and adjuvant chemotherapies. In the discovery stage, Solexa sequencing followed by individual quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) assays was used to test the difference in levels of serum miRNAs between 30 patients with longer survival (alive and mean survival time, 49.54 months) and 30 patients with shorter survival matched by age, sex, and stage (dead and mean survival time, 9.54 months). The detected serum miRNAs then were validated in 243 patients (randomly classified into two subgroups: n = 120 for the training set, and n = 123 for the testing set). Eleven serum miRNAs were found to be altered more than five-fold by Solexa sequencing between longer-survival and shorter-survival groups, and levels of four miRNAs (ie, miR-486, miR-30d, miR-1 and miR-499) were significantly associated with overall survival. The four-miRNA signature also was consistently an independent predictor of overall survival for both training and testing samples. The four-miRNA signature from the serum may serve as a noninvasive predictor for the overall survival of NSCLC.
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            Identification of ten serum microRNAs from a genome-wide serum microRNA expression profile as novel noninvasive biomarkers for nonsmall cell lung cancer diagnosis.

            The detection of nonsmall cell lung cancer (NSCLC) at an early stage presents a daunting challenge due to the lack of a specific noninvasive marker. The discovery of microRNAs (miRNAs), particularly those found in serum, has opened a new avenue for tumor diagnosis. To determine whether the expression profile of serum miRNAs can serve as a NSCLC fingerprint, we performed Taqman probe-based quantitative RT-PCR assay to selected differentially expressed serum miRNAs from a sample set including 400 NSCLC cases and 220 controls, and risk score analysis to evaluate the diagnostic value of the serum miRNA profiling system. After a two-phase selection and validation process, 10 miRNAs were found to have significantly different expression levels in NSCLC serum samples compared with the control serum samples. Risk score analysis showed that this panel of miRNAs was able to distinguish NSCLC cases from controls with high sensitivity and specificity. Under ROC curves, the AUC for tumor identification in training set and validation set were 0.966 and 0.972, respectively. Furthermore, the expression profile of the 10-serum miRNAs was correlated with the stage of NSCLC patients, especially in younger patients and patients with current smoking habits. More importantly, the serum miRNA-based biomarker for early NSCLC detection was supported by a retrospective analysis in which the 10-serum miRNA profile could accurately classify serum samples collected up to 33 months ahead of the clinical NSCLC diagnosis. Taken together, we demonstrate that the profiling of 10-serum miRNAs provides a novel noninvasive biomarker for NSCLC diagnosis. Copyright © 2011 UICC.
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              A serum circulating miRNA diagnostic test to identify asymptomatic high-risk individuals with early stage lung cancer

              Lung cancer is the first cause of cancer mortality worldwide, and its early detection is currently the main available strategy to improve disease prognosis. While early diagnosis can be successfully achieved through tomography-based population screenings in high-risk individuals, simple methodologies are needed for effective cancer prevention programs. We developed a test, based on the detection of 34 microRNAs (miRNAs) from serum, that could identify patients with early stage non-small cell lung carcinomas (NSCLCs) in a population of asymptomatic high-risk individuals with 80% accuracy. The signature could assign disease probability accurately either in asymptomatic or symptomatic patients, is able to distinguish between benign and malignant lesions, and to capture the onset of the malignant disease in individual patients over time. Thus, our test displays a number of features of clinical relevance that project its utility in programs for the early detection of NSCLC.
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                Author and article information

                Contributors
                Journal
                EBioMedicine
                EBioMedicine
                EBioMedicine
                Elsevier
                2352-3964
                04 August 2015
                October 2015
                04 August 2015
                : 2
                : 10
                : 1377-1385
                Affiliations
                [a ]Department of Clinical Laboratory, Jinling Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Nanjing Advanced Institute for Life Sciences, Nanjing University School of Life Sciences, Nanjing University, Nanjing, China
                [b ]State Key Laboratory of Pharmaceutical Biotechnology, Nanjing Advanced Institute for Life Sciences, Nanjing University School of Life Sciences, Jiangsu Engineering Research Center for MicroRNA Biology and Biotechnology, Nanjing University, Nanjing, China
                [c ]Johnson & Johnson Innovation Center Asia Pacific, Shanghai, China
                [d ]Ortho-Clinical Diagnostics, NJ, USA
                [e ]Department of Thoracic Surgery, Jinling Hospital, Nanjing University School of Medicine, Nanjing University, Nanjing, China
                [f ]Department of Clinical Laboratory, Jiangsu Province Hospital of TCM, Nanjing, China
                [g ]Department of Clinical Laboratory, Nanjing Chest Hospital, Nanjing, China
                [h ]Department of Medical Oncology, Cancer Hospital of Xuzhou, Xuzhou, China
                Author notes
                [* ]Corresponding authors at: State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, 22 Hankou Rd., Nanjing 210093, China. kzen@ 123456nju.edu.cn xichen@ 123456nju.edu.cn cyzhang@ 123456nju.edu.cn
                [** ]Correspondence to: C. Zhang, Department of Clinical Laboratory, Jinling Hospital, 305 East Zhongshan Rd., Nanjing 210002, China. zchunni27@ 123456hotmail.com
                [1]

                Cheng Wang, Meng Ding and Mingde Xia contributed equally to this work and all should be considered as first authors.

                Article
                S2352-3964(15)30086-4
                10.1016/j.ebiom.2015.07.034
                4634198
                26629532
                36cb61c5-0a9c-43ad-af6c-a8e75ea1f092
                © 2015 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 15 June 2015
                : 24 July 2015
                : 27 July 2015
                Categories
                Research Article

                mirna, microrna,nsclc, non-small-cell lung cancer,rt-qpcr, quantitative reverse transcription polymerase chain reaction,tlda, taqman low-density array,cq, quantification cycle,auc, the area under the roc curve,tnm, tumor–node–metastasis,non-small-cell lung cancer,multiethnic,multicentric,serum micrornas,biomarker,diagnosis

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