Analysis of dysregulation of immune system in pancreatic cancer based on gene expression profile
| Autor: | Zhen Liu, Shao-Long Sun, Baosheng Wang |
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| Rok vydání: | 2013 |
| Předmět: |
Receptors
CXCR4 Gene regulatory network Computational biology Biology Bioinformatics Biological pathway Immune system Pancreatic cancer Databases Genetic Genetics medicine Biomarkers Tumor Humans Gene Regulatory Networks KEGG Molecular Biology Gene Regulation of gene expression Gene Expression Profiling Computational Biology General Medicine medicine.disease Neoplasm Proteins Gene expression profiling Gene Expression Regulation Neoplastic Pancreatic Neoplasms Immune System CD4 Antigens Metabolic Networks and Pathways Signal Transduction |
| Zdroj: | Molecular biology reports. 41(7) |
| ISSN: | 1573-4978 |
| Popis: | The aim of this study was to explore the dysregulated expression of the immune system in pancreatic cancer and clarify the pathogenesis of pancreatic cancer. The Dataset GSE15471 was downloaded from GEO database, Student’s t test was used to screen differentially expressed genes (DEGs) between the pancreatic cancer group and the normal control group. Kyoto Encyclopedia of Genes and Genomes (KEGG) provides functional annotation was employed to explore the significant DEGs involved in biological functions. We got 988 significantly DEGs, including 832 up-regulated genes and 156 down-regulated genes. The ratio of up-regulated genes and down-regulated genes was 5.3. Total 13 biological pathways which were significant enriched with DEGs by KEGG pathway enrichment analysis. Finally, we constructed a overall network of the immune system in pancreatic cancer with these biological pathways information. Our study reveals that dysregulated pathways in pancreatic cancer associated with the immune system. Besides, we also identify some important molecular biomarkers of the pancreatic cancer, including CXCR4 and CD4. Dysfunctional pathways and important molecular biomarkers of pancreatic cancer will provide useful information for potential treatment of pancreatic cancer. |
| Databáze: | OpenAIRE |
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