Literature DB >> 26781873

Gastric cardia adenocarcinoma microRNA profiling in Chinese patients.

Shegan Gao1, Fuyou Zhou2, Chen Zhao3, Zhikun Ma1, Ruinuo Jia1, Shuo Liang1, Mengxi Zhang1, Xiaojuan Zhu1, Pengfei Zhang1, Lu Wang4, Feng Su4, Jiangman Zhao4, Gang Liu1, Bo Peng5, Xiaoshan Feng6,7.   

Abstract

Gastric cardia adenocarcinoma (GCA), which occurs at the gastroesophageal boundary, is one of the most malignant types of cancer. Over the past 30 years, the incidence of GCA has increased by approximately sevenfold, which has a more substantial increase than that of many other malignancies. However, as previous studies mainly focus on non-cardia gastric cancer, until now, the mechanisms behind GCA remain largely unknown. MicroRNAs (miRNAs) have been shown to play pivotal roles in carcinogenesis. To gain insight into the molecular mechanisms regulated by miRNAs in GCA development, we investigated miRNA expression profiles using 81 pairs of primary GCAs and corresponding non-tumorigenic tissues. First, 21 pairs of samples were used for microarray analysis, and then another 60 pairs of samples were used for further analysis. Our results showed that 464 miRNAs (237 upregulated, 227 downregulated, false discovery rate FDR <0.05) were differently expressed between GCA and non-tumor tissues. Pearson test and pathway analysis revealed that these dysregulated miRNA correlated coding RNAs may have effects on several cancer-related pathways. Four miRNAs (miR-1244, miR-135b-5p, miR-3196, and miR-628-3p) were found to be associated with GCA differentiation. One miRNA, miR-196a-5p, was found to be associated with age of GCA onset. Further, survival analysis showed that the expression level of miR-135b-5p was associated with GCA survival. Taken together, our study first provided the genome-wide expression profiles of miRNA in GCA and will be good help for further functional studies.

Entities:  

Keywords:  Differentiation; Gastric cardia adenocarcinoma; Microarray; miR135b-5p; microRNA

Mesh:

Substances:

Year:  2016        PMID: 26781873     DOI: 10.1007/s13277-016-4824-5

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


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