Insights regarding novel biomarkers and the pathogenesis of primary colorectal carcinoma based on bioinformatic analysis. (April 2020)
- Record Type:
- Journal Article
- Title:
- Insights regarding novel biomarkers and the pathogenesis of primary colorectal carcinoma based on bioinformatic analysis. (April 2020)
- Main Title:
- Insights regarding novel biomarkers and the pathogenesis of primary colorectal carcinoma based on bioinformatic analysis
- Authors:
- Wang, Yi-Ran
Meng, Ling-Bing
Su, Fei
Qiu, Yong
Shi, Ji-Hua
Xu, Xue
Luo, Qing-Feng - Abstract:
- Graphical abstract: Highlights: The DEGs between PCRC and normal colorectal samples were screened. The DEGs were mainly enriched in extracellular matrix organization, bicarbonate transport, and cellular response to lipid. Ten hub genes were identified via cytoHubba: PYY, CXCL3, CXCL11, CXCL8, CXCL12, CCL20, MMP3, P2RY14, NPY1R, and CXCL1. The hub genes might provide a new perspective to better understand pathogenesis of PCRC. Abstract: Background: Biomarkers are important in the study of tumor processes for early detection and precise treatment. The biomarkers that have been previously detected are not useful for clinical application for primary colorectal carcinoma (PCRC). The aim of this study was to explore clinically valuable biomarkers of PCRC based on integrated bioinformatic analysis. Material and methods: Gene expression data were acquired from the GSE41258 dataset, and the differentially expressed genes were determined between PCRC and normal colorectal samples. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were implemented via Gene Set Enrichment Analysis. A protein-protein interaction (PPI) network was constructed. The significant modules and hub genes were screened and identified in the PPI network. Results: A total of 202 DEGs were identified, including 58 upregulated and 144 downregulated genes in PCRC samples compared to those in normal colorectal samples. Enrichment analysis demonstrated that the gene sets enriched in PCRC wereGraphical abstract: Highlights: The DEGs between PCRC and normal colorectal samples were screened. The DEGs were mainly enriched in extracellular matrix organization, bicarbonate transport, and cellular response to lipid. Ten hub genes were identified via cytoHubba: PYY, CXCL3, CXCL11, CXCL8, CXCL12, CCL20, MMP3, P2RY14, NPY1R, and CXCL1. The hub genes might provide a new perspective to better understand pathogenesis of PCRC. Abstract: Background: Biomarkers are important in the study of tumor processes for early detection and precise treatment. The biomarkers that have been previously detected are not useful for clinical application for primary colorectal carcinoma (PCRC). The aim of this study was to explore clinically valuable biomarkers of PCRC based on integrated bioinformatic analysis. Material and methods: Gene expression data were acquired from the GSE41258 dataset, and the differentially expressed genes were determined between PCRC and normal colorectal samples. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were implemented via Gene Set Enrichment Analysis. A protein-protein interaction (PPI) network was constructed. The significant modules and hub genes were screened and identified in the PPI network. Results: A total of 202 DEGs were identified, including 58 upregulated and 144 downregulated genes in PCRC samples compared to those in normal colorectal samples. Enrichment analysis demonstrated that the gene sets enriched in PCRC were significantly related to bicarbonate transport, regulation of sodium ion transport, potassium ion homeostasis, regulation of telomere maintenance, and other processes. A total of 10 hub genes was identified by cytoHubba: PYY, CXCL3, CXCL11, CXCL8, CXCL12, CCL20, MMP3, P2RY14, NPY1R, and CXCL1. Conclusion: The hub genes, such as NPY1R, P2RY14, and CXCL12, and the electrolyte disequilibrium resulting from the differential expression of genes, especially bicarbonate imbalance, may provide novel insights and evidence for the future diagnosis and targeted therapy of PCRC. … (more)
- Is Part Of:
- Computational biology and chemistry. Volume 85(2020)
- Journal:
- Computational biology and chemistry
- Issue:
- Volume 85(2020)
- Issue Display:
- Volume 85, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 85
- Issue:
- 2020
- Issue Sort Value:
- 2020-0085-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-04
- Subjects:
- Primary colorectal neoplasms -- Biomarkers -- Gene expression profiling -- Computational biology
Chemistry -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
Biochemistry -- Data processing
Biology -- Data processing
Molecular biology -- Data processing
Periodicals
Electronic journals
542.85 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14769271 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiolchem.2020.107229 ↗
- Languages:
- English
- ISSNs:
- 1476-9271
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3390.576700
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13551.xml