Integrated miRNA profiling and bioinformatics analyses reveal potential causative miRNAs in gastric adenocarcinoma
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Xiaojing Zhang1,4,*, Yin Peng1,7,*, Zhe Jin1,3,4,5,*, Weiling Huang1, Yulan Cheng2, Yudan Liu6, Xianling Feng1, Mengting Yang1, Yong Huang1, Zhenfu Zhao1, Liang Wang1,4, Yanjie Wei8, Xinmin Fan1, Duo Zheng1,4, Stephen J. Meltzer2
1Department of Pathology, The Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China
2Department of Medicine/GI Division, Johns Hopkins University and Sidney Kimmel Cancer Center, Baltimore, MD, USA
3Shenzhen Key Laboratory of Micromolecule Innovatal Drugs, The Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China
4Shenzhen Key Laboratory of Translational Medicine of Tumor, The Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China
5Laboratory of Chemical Genomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, Guangdong, People's Republic of China
6School of Pharmacy, China Medical University, Shenyang, Liaoning, People's Republic of China
7Department of Pathology, Wuhan University School of Basic Medical Sciences, Hubei, People's Republic of China
8Center for High Performance Computing, Shenzhen Institutes of Advanced Technology, Shenzhen, Guangdong, People's Republic of China
*These authors have contributed equally to this work
Zhe Jin, e-mail: [email protected]
Duo Zheng, e-mail: [email protected]
Keywords: gastric cancer, miRNA profiling, bioinformatics
Received: June 04, 2015 Accepted: September 25, 2015 Published: October 07, 2015
Gastric cancer (GC) is one of the leading causes of cancer-related deaths throughout China and worldwide. The discovery of microRNAs (miRNAs) has provided a new opportunity for developing diagnostic biomarkers and effective therapeutic targets in GC. By performing microarray analyses of benign and malignant gastric epithelial cell lines (HFE145, NCI-N87, MKN28, RF1, KATO III and RF48), 16 significantly dysregulated miRNAs were found. 11 of these were validated by real-time qRT-PCR. Based on miRWalk online database scans, 703 potential mRNA targets of the 16 miRNAs were identified. Bioinformatic analyses suggested that these dysregulated miRNAs and their predicted targets were principally involved in tumor pathogenesis, MAPK signaling, and apoptosis. Finally, miRNA-gene network analyses identified miRNA-125b as a crucial miRNA in GC development. Taken together, these results develop a comprehensive expression and functional profile of differentially expressed miRNAs related to gastric oncogenesis. This profile may serve as a potential tool for biomarker and therapeutic target identification in GC patients.
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