Literature DB >> 26278148

Identification of potential therapeutic targets for melanoma using gene expression analysis.

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.

Entities:  

Keywords:  differentially expressed gene; melanoma; metastasis; protein-protein interaction network.

Year:  2015        PMID: 26278148     DOI: 10.4149/neo_2015_087

Source DB:  PubMed          Journal:  Neoplasma        ISSN: 0028-2685            Impact factor:   2.575


  5 in total

1.  Tyrosine kinase inhibitor SU11274 increased tumorigenicity and enriched for melanoma-initiating cells by bioenergetic modulation.

Authors:  Lucia Kucerova; Lucia Demkova; Svetlana Skolekova; Roman Bohovic; Miroslava Matuskova
Journal:  BMC Cancer       Date:  2016-05-12       Impact factor: 4.430

2.  Generation of metastatic melanoma specific antibodies by affinity purification.

Authors:  Birgit Schütz; Anita Koppensteiner; David Schörghofer; Katharina Kinslechner; Gerald Timelthaler; Robert Eferl; Markus Hengstschläger; Albert Missbichler; Harald Hundsberger; Mario Mikula
Journal:  Sci Rep       Date:  2016-11-17       Impact factor: 4.379

3.  Identification of key candidate genes involved in melanoma metastasis.

Authors:  Jia Chen; Fei Wu; Yu Shi; Degang Yang; Mingyuan Xu; Yongxian Lai; Yeqiang Liu
Journal:  Mol Med Rep       Date:  2019-05-30       Impact factor: 2.952

Review 4.  MRE11-RAD50-NBS1 complex alterations and DNA damage response: implications for cancer treatment.

Authors:  Lei Bian; Yiling Meng; Meichao Zhang; Dong Li
Journal:  Mol Cancer       Date:  2019-11-26       Impact factor: 27.401

5.  Integrative transcriptional characterization of cell cycle checkpoint genes promotes clinical management and precision medicine in bladder carcinoma.

Authors:  Wei-Wei Shi; Jing-Zhi Guan; Ya-Ping Long; Qi Song; Qi Xiong; Bo-Yu Qin; Zhi-Qiang Ma; Yi Hu; Bo Yang
Journal:  Front Oncol       Date:  2022-08-11       Impact factor: 5.738

  5 in total

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