TBX2 Identified as a Potential Predictor of Bone Metastasis in Lung Adenocarcinoma via Integrated Bioinformatics Analyses and Verification of Functional Assay
| Autor: | Ming Yao, Huajian Yu, Fangyu Zhao, Mingxia Yan, Jing Li, Kechao Zhu, Miaoxin Zhu, Zhen Pan, Hechun Lin |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Cell growth Microarray analysis techniques TBX2 Bone metastasis Biology medicine.disease medicine.disease_cause Integrated bioinformatics analysis Metastasis 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Oncology 030220 oncology & carcinogenesis medicine Cancer research Adenocarcinoma Gene silencing Epithelial–mesenchymal transition Carcinogenesis Research Paper Lung adenocarcinoma |
| Zdroj: | Journal of Cancer |
| ISSN: | 1837-9664 |
| DOI: | 10.7150/jca.31636 |
| Popis: | Objective: Bone metastasis from patients with advanced lung adenocarcinoma (LAC) is a very serious complication. To better understand the molecular mechanism, our current study sheds light on identification of hub genes mediating bone metastatic spread by combining bioinformatic analysis with functional verification. Methods: First, we downloaded a lung adenocarcinoma dataset ({"type":"entrez-geo","attrs":{"text":"GSE76194","term_id":"76194"}}GSE76194) from Gene Expression Omnibus, analyzed differentially expressed genes (DEGs) through Limma package in R software and constructed a protein-protein interaction network. Based on that preliminary data, we further performed modular and topological analysis using Cystoscope to obtain biological connected genes. Through literature searching and performing mRNA expression analysis on the other independent public dataset ({"type":"entrez-geo","attrs":{"text":"GSE10799","term_id":"10799"}}GSE10799), we finally focused on TBX2. Functional effects of TBX2 were performed in tumorigenicity assays including migration and invasion assays, cell proliferation assay, and cell cycle assay. In addition, mechanically, we found enriched pathways related to bone metastasis using Gene Set Enrichment Analysis (GSEA) and validated our results by western blot. Result: A total of 1132 significant genes were sorted initially. We selected common significant genes (log FC>2; p |
| Databáze: | OpenAIRE |
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