Comprehensive analysis of TPX2-related ceRNA network as prognostic biomarkers in lung adenocarcinoma
| Autor: | Xiao Liu, Rui Li, Yi-Qing Qu, Jian-Ping Li, Chen Huo, Meng-Yu Zhang, Ting-Ting Liu, Xi-Jia Zhou |
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| Rok vydání: | 2020 |
| Předmět: |
Male
Lung adenocarcinoma Candidate gene Lung Neoplasms Carcinogenesis Datasets as Topic Adenocarcinoma of Lung Cell Cycle Proteins Kaplan-Meier Estimate Computational biology Biology medicine.disease_cause prognostic biomarkers competing endogenous RNA (ceRNA) microRNA Biomarkers Tumor medicine Humans Gene Regulatory Networks Protein Interaction Maps Lung Survival rate Gene Aged Neoplasm Staging Oligonucleotide Array Sequence Analysis Competing endogenous RNA Gene Expression Profiling TPX2 General Medicine Middle Aged Prognosis medicine.disease Up-Regulation Gene Expression Regulation Neoplastic Survival Rate MicroRNAs medicine.anatomical_structure Adenocarcinoma Female RNA Long Noncoding Microtubule-Associated Proteins Research Paper |
| Zdroj: | International Journal of Medical Sciences |
| ISSN: | 1449-1907 |
| DOI: | 10.7150/ijms.49053 |
| Popis: | Background and aim: Competing endogenous RNA (ceRNA) is believed to play vital roles in tumorigenesis. The goal of this study was to screen prognostic biomarkers in lung adenocarcinoma (LUAD). Methods: Common differentially expressed genes (DEGs) were collected from Gene Expression Omnibus (GEO) databases and The Cancer Genome Atlas databases (TCGA) using GEO2R and “limma” package in R, respectively. Overlapping DEGs were conducted using enrichment of functions and protein-protein interaction (PPI) network to discover significant candidate genes. By using a comprehensive analysis, we constructed an mRNA mediated ceRNA network. Survival rates were used Kaplan-Meier analysis. Statistical analysis was used to further identify the prognosis of studied genes. Results: Integrated analysis of GSE32863 and TCGA databases, a total of 886 overlapping DEGs, including 279 up-regulated and 607 down-regulated genes were identified. Considering the highest term of candidate genes in PPI, we identified TPX2, which was enriched in cell division signaling pathway. Besides, 35 differentially expressed miRNAs (DEmiRNAs) were predicted to target TPX2 and only 7 DEmiRNAs were identified to be prognostic biomarkers in LUAD. Then, 30 differentially expressed lncRNAs (DElncRNAs) were predicted to bind these 7 DEmiRNAs. Finally, we found that 7 DElncRNAs were correlated with the overall survival (all p |
| Databáze: | OpenAIRE |
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