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Tongshan, China

Wang C.,China Pharmaceutical University | Ding M.,China Pharmaceutical University | Xia M.,Johnson and Johnson Innovation Center Asia Pacific | Chen S.,China Pharmaceutical University | And 10 more authors.
EBioMedicine | Year: 2015

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. © 2015 The Authors. Source


Yang C.,Nanjing University | Wang C.,Nanjing University | Chen X.,Nanjing University | Chen S.,MicroMedMark Biotech Co. | And 11 more authors.
International Journal of Cancer | Year: 2013

The involvement of circulating microRNAs (miRNAs) in cancer and their potential as biomarkers of diagnosis and prognosis are becoming increasingly appreciated; however, little is known about circulating miRNA profiles in astrocytomas. In our study, we performed genome-wide serum miRNA analysis by the Solexa sequencing followed by validation conducted in the training and verification sets with a stem-loop quantitative reverse-transcription PCR (RT-qPCR) assay from serum samples of 122 untreated astrocytomas patients (WHO grades III-IV) and 123 normal controls. Identified miRNAs were subsequently examined in 55 grade II, 15 grade I astrocytomas, 11 astrogliosis, 42 other primary brain tumors and 8 tumor tissues from grades II-IV astrocytomas. In addition, paired serum samples before and after operation were collected from 14 malignant astrocytomas to determine the effect of surgery on the miRNAs' levels. A marked difference in serum miRNA profile was observed between high-grade astrocytomas and normal controls. Seven miRNAs were validated by RT-qPCR assay to be significantly decreased in grades II-IV patients (p < 0.001), including miR-15bz.ast;, miR-23a, miR-133a, miR-150z.ast;z.ast;, miR-197, miR-497 and miR-548b-5p, and the seven-miRNA panel demonstrated a high sensitivity (88.00%) and specificity (97.87%) for malignant astrocytomas prediction. These identified miRNAs also exhibited a global decrease in tumor tissues relative to normal tissues. Furthermore, these miRNAs in serum were markedly elevated after operation (p < 0.001). In addition, some of these serum miRNAs were significantly different between malignant and benign cases, astrogliosis and other primary brain tumors. The seven serum miRNAs identified in our study hold potential as noninvasive biomarker for malignant astrocytomas. What's new? MicroRNAs circulating in the blood are starting to be recognized as cancer markers. In some cancers, these circulating markers can be used to diagnose the seriousness of the cancer, find out how well the treatment is working and even predict patient survival. No such markers have been identified yet for brain cancer. It can be quite difficult, after radiation therapy, to distinguish between side effects of the treatment and cancer recurrence, making the promise of a bloodborne marker very tantalizing indeed. The authors sequenced miRNAs from patients with brain cancer, and found seven that appeared significantly decreased in patients with advanced brain cancer. Levels went up after surgery, suggesting the miRNAs can verify whether treatment is working, and different combinations of the markers could be used to distinguish different types of brain cancers. Copyright © 2012 UICC. Source


Wu C.,Nanjing University | Wang C.,Nanjing University | Guan X.,Nanjing University | Liu Y.,Nanjing University | And 8 more authors.
PLoS ONE | Year: 2014

Background and Aim: Circulating microRNAs (miRNAs) are potential biomarkers for cancer detection; however, little is known about their prognostic impact on oesophageal squamous cell carcinoma (ESCC). The current study aims to uncover novel miRNAs for prognostic biomarkers in ESCC patients. Patients and Methods: We initially screened the expression of 754 serum miRNAs using TaqMan Low Density Array in two pooled samples respectively from 28 ESCC and 28 normal controls. Markedly upregulated miRNAs in ESCC and some miRNAs reported to be differently expressed in ESCC tissue were then validated individually by RT-qPCR in another 83 patients and 83 controls arranged in two phases. The changes of the selected miRNAs during the esophagectomy and their prognostic value were examined. Results: Seven serum miRNAs were found to be significantly higher in ESCC than in controls; namely, miR-25, miR-100, miR-193-3p, miR-194, miR-223, miR-337-5p and miR-483-5p (P<0.0001), and the area under the receiver-operating-characteristic (ROC) curve (AUC) for the seven-miRNA panel was 0.83 (95% CI 0.75-0.90). Most of these miRNAs declined markedly in postoperative samples versus preoperative samples (P<0.05). Moreover, high level of miR-25 was significantly correlated with shorter overall survival in patients (P = 0.027). Cox regression analysis identified lymph node metastasis, miR-25 and miR-100 as the independent risk factors for overall survival (hazard ratio (HR) 2.98 [1.36-6.55], P = 0.006; HR 3.84 [1.02-14.41], P = 0.029; HR 4.18 [1.21-14.50], P = 0.024, respectively). Conclusion: The seven serum miRNAs could potentially serve as novel biomarkers for ESCC; moreover, specific miRNAs such as miR-25 and miR-100 can predict poor survival in ESCC. © 2014 Wu et al. Source


Zhang C.,Nanjing University | Wang C.,Nanjing University | Chen X.,Nanjing University | Yang C.,Nanjing University | And 13 more authors.
Clinical Chemistry | Year: 2010

BACKGROUND: Sensitive and specific biomarkers for the early detection of esophageal squamous cell carcinoma (ESCC) are urgently needed to reduce the high morbidity and mortality of the disease. The discovery of serum microRNAs (miRNAs) and their unique concentration profiles in patients with various diseases makes them attractive, novel noninvasive biomarkers for tumor diagnosis. In this study, we investigated the serum miRNA profile in ESCC patients to develop a novel diagnostic ESCC biomarker. METHODS: Serum samples were taken from 290 ESCC patients and 140 age- and sex-matched controls. Solexa sequencing technology was used for an initial screen of miRNAs in serum samples from 141 patients and 40 controls. A hydrolysis probe - based stem - loop quantitative reverse-transcription PCR (RT-qPCR) assay was conducted in the training and verification phases to confirm the concentrations of selected miRNAs in serum samples from 149 patients and 100 controls. RESULTS: The Solexa sequencing results demonstrated marked upregulation of 25 serum miRNAs in ESCC patients compared with controls. RT-qPCR analysis identified a profile of 7 serum miRNAs (miR-10a, miR-22, miR-100, miR-148b, miR-223, miR-133a, and miR-127-3p) as ESCC biomarkers. The area under the ROC curve for the selected miRNAs ranged from 0.817 to 0.949, significantly higher than for carcinoembryonic antigen (0.549; P < 0.0005). More importantly, this panel of 7 miRNAs clearly distinguished stage I/II ESCC patients from controls. CONCLUSIONS: This panel of 7 serum miRNAs holds promise as a novel blood-based biomarker for the diagnosis of ESCC. © 2010 American Association for Clinical Chemistry. Source

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