[Specific MicroRNA Expression Profiles of Lung Adenocarcinoma in Xuanwei Region and Bioinformatic Analysis for Predicting Their Target Genes and Related Signaling Pathways]

Overview

Journal Nan Fang Yi Ke Da Xue Xue Bao

Specialty General Medicine

Date 2017 Feb 22

PMID 28219870

Authors

Shuai Chen

Yong-Chun Zhou

Ying Chen

Xiao-Bo Chen

Guang-Jian Li

Jia-Peng Yang

Yu-Jie Lei

Guang-Qiang Zhao

Qiu-Bo Huang

Chang-Shao Yang

Ya-Xi DU

Yun-Chao Huang

Affiliations

Soon will be listed here.

Abstract

Objective: To identify differentially expressed microRNAs (miRNAs) related to lung adenocarcinoma in Xuanwei region and predict their target genes and related signaling pathways based on bioinformatic analysis.

Methods: High-throughput microarray assay was performed to detect miRNA expression profiles in 34 paired human lung adenocarcinoma and adjacent normal tissues (including 24 cases in Xuanwei region and 10 in other regions). Gene ontology and KEGG pathway analyses were used to predict the target genes and the regulatory signaling pathways.

Results: Thirty-four miRNAs were differentially expressed in lung adenocarcinoma tissues in cases in Xuanwei region as compared with cases in other regions, including 23 upregulated and 11 downregulated miRNAs. The predicted target genes included GF, RTK, SOS, IRS1, BCAP, CYTOKINSR, ECM, ITGB, FAK and Gbeta;Y involving the PI3K/Alt, WNT and MAPK pathways.

Conclusion: The specific microRNA expression profiles of lung adenocarcinoma in cases found in Xuanwei region allow for a better understanding of the pathogenesis of lung adenocarcinoma in Xuanwei. The predicted target genes may involve the PI3K/Alt, WNT and MAPK pathways.

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