Open AccessMicroarray profiling of differentially expressed lncRNAs and mRNAs in lung adenocarcinomas and bioinformatics analysis
Author(s) -
He Fei,
Huang Liping,
Xu Qiuping,
Xiong Weimin,
Liu Shuang,
Yang Huimin,
Lu Wanting,
Xiao Rendong,
Hu Zhijian,
Cai Lin
Publication year - 2020
Publication title -
cancer medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 53
ISSN - 2045-7634
DOI - 10.1002/cam4.3369
Subject(s) - adenocarcinoma , biology , gene expression profiling , microarray , lung cancer , gene , microarray analysis techniques , cancer research , gene expression , long non coding rna , computational biology , bioinformatics , cancer , rna , genetics , pathology , medicine
Long noncoding RNAs (lncRNAs) dysregulation leads to malignant progression of lung cancer. Our study profiled differentially expressed lncRNA and mRNA in tumor and normal tissues of lung adenocarcinoma (LUAD). Further, analysis of the gene expression profiles of LUAD tissues (n = 533) and normal tissues (n = 59) from The Cancer Genome Atlas (TCGA). A total of 138 lncRNAs were differentially expressed between LUAD tissues and normal tissues (false discovery rate [FDR] q < 0.05, fold change (FC) ≥ 2), a number of which are key regulators of multiple cancer and biological processes in humans. For example, lncRNA A2M‐AS1 displayed the highest correlation with the co‐expressed mRNAs, indicating that it might play a key role in regulating differential gene expression in LUAD. The data from the current study of the comprehensive lncRNA expression profile in LUAD tissues provided useful information to guide the identification of potential LUAD biomarkers.