Gene expression profile analysis of the bone microenvironment in patients with spinal metastases
| Autor: | Chong Bian, Wangmi Liu, Guo-li Zheng, Yun Liang, Jian Dong, Libo Jiang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Cancer Research differentially expressed genes Microarray Oncogene Microarray analysis techniques Articles functional enrichment analysis Cell cycle Biology Molecular medicine spinal metastases 03 medical and health sciences 030104 developmental biology Oncology Gene expression Cancer research organ-specific metastases KEGG Gene microarray |
| Zdroj: | Oncology Letters |
| ISSN: | 1792-1074 |
| Popis: | The present study aimed to identify the underlying molecular mechanisms associated with spinal metastases. Gene expression profiles in cancellous bone samples from the spines of five patients with spinal metastases, with different primary cancers, and three normal control patients were measured using microarray analysis and subsequently compared. The differentially expressed genes (DEGs) identified were filtered using bioinformatics analyses followed by cluster analysis, gene ontology (GO) term and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. Finally, a protein-protein interaction network was constructed and analyzed. A total of 152 upregulated and 388 downregulated DEGs were identified. The cluster analysis demonstrated a marked difference between the gene expression profiles of samples from patients with spinal metastases and those from normal patients. The GO terms enriched in the upregulated DEGs were associated with cell death, and those enriched in the downregulated DEGs were associated with the cell cycle. The upregulated DEGs were enriched in signaling pathways associated with tight junctions, and the downregulated DEGs were enriched in signaling pathways associated with porphyrin metabolism. In the PPI network constructed, transcription factor AP-1 and proliferating cell nuclear antigen had the highest connectivity degrees with the upregulated and downregulated DEGs, respectively. The gene expression profile data from the present study provides new insights into the underlying molecular mechanisms of spinal metastases, and will aid in the development of novel anticancer treatments. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|