A panel of 13-miRNA signature as a potential biomarker for predicting survival in pancreatic cancer
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Xin Zhou1,*, Zebo Huang1,*, Lei Xu2,*, Mingxia Zhu1, Lan Zhang1, Huo Zhang1, Xiaping Wang3, Hai Li4, Wei Zhu1, Yongqian Shu1,5, Ping Liu1,5
1Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
2Department of Thoracic Surgery, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 210029, China
3Department of Pathology, Sir Run Run Hospital Affiliated With Nanjing Medical University, Nanjing 211166, China
4Department of Pathology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, PR China
5Cancer Center of Nanjing Medical University, Nanjing 210029, China
*These authors contributed equally to this work
Ping Liu, email: email@example.com
Wei Zhu, email: firstname.lastname@example.org
Keywords: pancreatic cancer, miRNA, signature, biomarker, prognosis
Received: August 09, 2015 Accepted: September 02, 2016 Published: September 08, 2016
Some reports have evaluated the prognostic relevance of microRNAs (miRNAs) in patients with pancreatic cancer (PC). However, most studies focused on limited miRNAs with small number of patients. The aim of the study is to identify a panel of miRNA signature that could predict prognosis in PC with the data from The Cancer Genome Atlas (TCGA). A total of 167 PC patients with the corresponding clinical data were enrolled in our study. The miRNAs significantly associated with overall survival (OS) in PC patients were identified with Cox proportional regression model. A risk score formula was developed to evaluate the prognostic value of the miRNA signature in PC. Thirteen miRNAs were identified to be significantly related with OS in PC patients. Patients with high risk score suffered poor overall survival compared with patients who had low risk score. The multivariate Cox regression analyses showed that the miRNA signature could act as an independent prognostic indicator. In addition, the signature might serve as a predicator for treatment outcome. Our study identified a miRNA signature including 13 miRNAs which could serve as an independent marker in prognosis of PC.
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