Comprehensive analysis of the long noncoding RNA HOXA11-AS gene interaction regulatory network in NSCLC cells
| Autor: | Wen-Ting Huang, Su-Ning Huang, Ting-Qing Gan, Gang Chen, Rong-Quan He, Xiao Wang, Dian-Zhong Luo, Yi-Wu Dang, Xiu-ling Zhang, Xiao-Ning Gan, Yu Zhang, Mengtong Jiang, You Xie, Ping Li |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Cancer Research Microarray Biology NSCLC 03 medical and health sciences 0302 clinical medicine Gene interaction Genetics medicine KEGG Gene Hypothesis medicine.disease Molecular biology Microarray assay Fold change Long non-coding RNA HOXA11-AS respiratory tract diseases 030104 developmental biology Oncology Hippo signaling GO 030220 oncology & carcinogenesis Cancer research Adenocarcinoma Pathway |
| Zdroj: | Cancer Cell International |
| ISSN: | 1475-2867 |
| Popis: | Background Long noncoding RNAs (lncRNAs) are related to different biological processes in non-small cell lung cancer (NSCLC). However, the possible molecular mechanisms underlying the effects of the long noncoding RNA HOXA11-AS (HOXA11 antisense RNA) in NSCLC are unknown. Methods HOXA11-AS was knocked down in the NSCLC A549 cell line and a high throughput microarray assay was applied to detect changes in the gene profiles of the A549 cells. Bioinformatics analyses (gene ontology (GO), pathway, Kyoto Encyclopedia of Genes and Genomes (KEGG), and network analyses) were performed to investigate the potential pathways and networks of the differentially expressed genes. The molecular signatures database (MSigDB) was used to display the expression profiles of these differentially expressed genes. Furthermore, the relationships between the HOXA11-AS, de-regulated genes and clinical NSCLC parameters were verified by using NSCLC patient information from The Cancer Genome Atlas (TCGA) database. In addition, the relationship between HOXA11-AS expression and clinical diagnostic value was analyzed by receiver operating characteristic (ROC) curve. Results Among the differentially expressed genes, 277 and 80 genes were upregulated and downregulated in NSCLC, respectively (fold change ≥2.0, P |
| Databáze: | OpenAIRE |
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