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Neoplasma Vol.62, No.5, p.733-739, 2015 |
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| Title: Identification of potential therapeutic targets for melanoma using gene expression analysis | ||
| Author: L. QUAN, J. SHI, Y. TIAN, Q. ZHANG, Y. ZHANG, Y. ZHANG, Q. HUI, K. TAO | ||
| Abstract: Metastatic melanoma represents a significant cause of death in patients with melanoma and the frequency is increasing. The aim of this study was to identify potential therapeutic targets for metastatic melanoma. Gene expression profile GSE44660 was downloaded from Gene Expression Omnibus database. A total of 22 samples were analyzed in our study, including 3 specimens of normal melanocytes, 12 specimens of melanoma LNM (lymph node metastasis) and 7 specimens of MBM (melanoma brain metastasis). DEGs (differentially expressed genes) in LNM and MBM were identified respectively using Limma package. GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways analyses of common DEGs between two comparison groups were performed using DAVID, followed by cancer-related genes and transcription factor analysis. PPI (protein-protein interaction) network was constructed by STRING, and significant key genes were selected. Totally, 401 common DEGs were identified. Disease analysis showed that ICAM1 (intercellular adhesion molecule 1) and NBN (nibrin) were related to melanoma. In the PPI network, BIRC5 (baculoviral IAP repeat containing 5), BUB1 (BUB1 mitotic checkpoint serine/threonine kinase), GMNN (geminin, DNA replication inhibitor), AURKA (aurora kinase A), TOP2A (topoisomerase (DNA) II alpha) and BUB1B (BUB1 mitotic checkpoint serine/threonine kinase B) were with higher degree more than 50. ICAM1, NBN, BIRC5, BUB1, BUB1B, GMNN, AURKA and TOP2A may play key roles in the progression and development of melanoma. They may be used as specific therapeutic targets in the treatment of metastatic melanoma. However, further experiments are still needed to confirm our results. |
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| Keywords: melanoma, metastasis, differentially expressed gene, protein-protein interaction network | ||
| Published online: 03-Aug-2015 | ||
| Year: 2015, Volume: 62, Issue: 5 | Page From: 733, Page To: 739 | |
| doi:10.4149/neo_2015_087 |
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