Identification of hub genes to regulate breast cancer metastasis to brain by bioinformatics analyses. Issue 6 (3rd December 2018)
- Record Type:
- Journal Article
- Title:
- Identification of hub genes to regulate breast cancer metastasis to brain by bioinformatics analyses. Issue 6 (3rd December 2018)
- Main Title:
- Identification of hub genes to regulate breast cancer metastasis to brain by bioinformatics analyses
- Authors:
- Tang, Dongyang
Zhao, Xin
Zhang, Li
Wang, Zhiwei
Wang, Cheng - Abstract:
- Abstract: Breast cancer with metastasis especially brain metastasis represents a significant cause of morbidity and mortality in patients. In this study, we aimed to investigate the hub genes and potential molecular mechanism in brain metastasis breast cancer. Expression profiles of the genes were extracted from the Gene Expression Omnibus (GEO) database. GO and KEGG pathway enrichment analyses were conducted at Database for Annotation, Visualization, and Integrated Discovery. Protein‐protein interaction (PPI) network was established by STRING database constructed by Cytoscape software. Hub genes were identified by the molecular complex detection (MCODE) plugin and the CytoHubba plugin. The transcription factor (TF) that regulates the expression of hub genes was analyzed using the NetworkAnalyst algorithm. Kaplan‐Meier curve was used to analyze the effects of hub genes on overall survival. Two GEO databases (GSE100534 and GSE52604) were downloaded from GEO databases. A total of 102 overlapped genes were identified, and the top five KEGG pathways enriched were pathways in cancer, HTLV‐I infection, focal adhesion, ECM‐receptor interaction, and protein digestion and absorption. By combing the results of MCODE and CytoHubba, a total of 10 hub genes were selected. Kaplan‐Meier curve showed that ANLN, BUB1, TTK, and SKA3 were closely associated with the overall survival of breast cancer patients. TF analysis results showed that E2F4, KDM5B, and MYC were crucial regulators forAbstract: Breast cancer with metastasis especially brain metastasis represents a significant cause of morbidity and mortality in patients. In this study, we aimed to investigate the hub genes and potential molecular mechanism in brain metastasis breast cancer. Expression profiles of the genes were extracted from the Gene Expression Omnibus (GEO) database. GO and KEGG pathway enrichment analyses were conducted at Database for Annotation, Visualization, and Integrated Discovery. Protein‐protein interaction (PPI) network was established by STRING database constructed by Cytoscape software. Hub genes were identified by the molecular complex detection (MCODE) plugin and the CytoHubba plugin. The transcription factor (TF) that regulates the expression of hub genes was analyzed using the NetworkAnalyst algorithm. Kaplan‐Meier curve was used to analyze the effects of hub genes on overall survival. Two GEO databases (GSE100534 and GSE52604) were downloaded from GEO databases. A total of 102 overlapped genes were identified, and the top five KEGG pathways enriched were pathways in cancer, HTLV‐I infection, focal adhesion, ECM‐receptor interaction, and protein digestion and absorption. By combing the results of MCODE and CytoHubba, a total of 10 hub genes were selected. Kaplan‐Meier curve showed that ANLN, BUB1, TTK, and SKA3 were closely associated with the overall survival of breast cancer patients. TF analysis results showed that E2F4, KDM5B, and MYC were crucial regulators for these four hub genes. The current study based on the GEO database provided novel understanding regarding the mechanism of breast cancer metastasis to brain and may provide novel therapeutic targets. Abstract : 1. Molecules related to breast cancer metastasis to brain were investigated. 2. Prognostic value of ANLN, BUB1, TTK, SKA3, and STAT5A was reported. 3. Transcription factors to regulate hub genes were reported. … (more)
- Is Part Of:
- Journal of cellular biochemistry. Volume 120:Issue 6(2019)
- Journal:
- Journal of cellular biochemistry
- Issue:
- Volume 120:Issue 6(2019)
- Issue Display:
- Volume 120, Issue 6 (2019)
- Year:
- 2019
- Volume:
- 120
- Issue:
- 6
- Issue Sort Value:
- 2019-0120-0006-0000
- Page Start:
- 9522
- Page End:
- 9531
- Publication Date:
- 2018-12-03
- Subjects:
- bioinformatics -- breast cancer brain metastasis (BCBM) -- differentially expressed genes (DEGs) -- functional enrichment analysis -- prognosis -- regulatory network
Cytochemistry -- Periodicals
572 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-4644 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jcb.28228 ↗
- Languages:
- English
- ISSNs:
- 0730-2312
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4955.010000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26756.xml