Department of Dermatology and Second Hospital of Jilin University, Changchun, China.
Department of Gynecology, Second Hospital of Jilin University, Changchun, China.
J Comput Biol. 2020 Jan;27(1):9-19. doi: 10.1089/cmb.2019.0197. Epub 2019 Aug 19.
Melanoma is the most deadly type of skin cancer. This study aimed at uncovering the molecular mechanisms underlying melanoma progression. This study used the microarray dataset GSE46517, downloaded from the Gene Expression Omnibus database, including eight normal tissue samples, nine nevus tissue samples, 31 primary melanoma samples, and 73 metastatic melanoma tissue samples. Differentially expressed genes (DEGs) in nevus, primary melanoma, and metastatic melanoma were identified, with which a reactome functional interaction (FI) network was constructed, and pathway enrichment analysis of the network modules was performed. The common DEGs in primary and metastatic melanoma were identified by venn diagram analysis, followed by Gene ontology function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, and a proteinprotein interaction (PPI) network. The study identified 130 DEGs in nevus, 539 DEGs in primary melanoma, and 1170 DEGs in metastatic melanoma. The reactome FI network modules 10, 14, and 15 were significantly enriched in the transforming growth factor (TGF)-β signaling pathway. , , and were the common upregulated DEGs in nevus, primary, and metastatic melanoma, and they were significantly enriched in the melanogenesis pathway. In the PPI network with the common DEGs in primary and metastatic melanoma, , , and were the hub genes. , , , , , , , melanogenesis pathway, and TGF-β signaling pathway might be involved in the molecular mechanism of melanoma. These genes may be recommended as promising molecular targets for development of melanoma therapeutics.
黑色素瘤是最致命的皮肤癌类型。本研究旨在揭示黑色素瘤进展的分子机制。本研究使用了从基因表达综合数据库下载的微阵列数据集 GSE46517,其中包括 8 个正常组织样本、9 个痣组织样本、31 个原发性黑色素瘤样本和 73 个转移性黑色素瘤组织样本。鉴定了痣、原发性黑色素瘤和转移性黑色素瘤中的差异表达基因(DEG),并用这些基因构建了反应组功能相互作用(FI)网络,并对网络模块进行了通路富集分析。通过 venn 图分析鉴定了原发性和转移性黑色素瘤中的共同 DEG,然后进行基因本体功能和京都基因与基因组百科全书通路富集分析,并构建了蛋白质-蛋白质相互作用(PPI)网络。研究在痣中鉴定了 130 个 DEG,在原发性黑色素瘤中鉴定了 539 个 DEG,在转移性黑色素瘤中鉴定了 1170 个 DEG。反应组 FI 网络模块 10、14 和 15 在转化生长因子(TGF)-β信号通路中显著富集。在痣、原发性和转移性黑色素瘤中共同上调的 DEG 中, 、 、 和 显著富集在黑色素生成途径中。在原发性和转移性黑色素瘤中共同 DEG 的 PPI 网络中, 、 、 和 是枢纽基因。 、 、 、 、 、 、黑色素生成途径和 TGF-β 信号通路可能参与了黑色素瘤的分子机制。这些基因可能被推荐作为开发黑色素瘤治疗方法的有前途的分子靶标。