Department of Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, People's Republic of China.
West China Medical School, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Sci Rep. 2022 Jul 29;12(1):13002. doi: 10.1038/s41598-022-17468-6.
Skin cutaneous melanoma is a malignant and highly metastatic skin tumor, and its morbidity and mortality are still rising worldwide. However, the molecular mechanisms that promote melanoma metastasis are unclear. Two datasets (GSE15605 and GSE46517) were retrieved to identify the differentially expressed genes (DEGs), including 23 normal skin tissues (N), 77 primary melanoma tissues (T) and 85 metastatic melanoma tissues (M). Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were performed to explore the functions of the DEGs. We constructed protein-protein interaction network using the STRING database and Cytoscape software. Using the cytoHubba plugin of Cytoscape, we identified the most significant hub genes by five analytical methods (Degree, Bottleneck, MCC, MNC, and EPC). Hub gene expression was validated using the UALCAN website. Clinical relevance was investigated using The Cancer Genome Atlas resources. Finally, we explored the association between metastasis-associated genes and immune infiltrates through the Tumor Immune Estimation Resource (TIMER) database and performed drug-gene interaction analysis using the Drug-Gene Interaction database. A total of 294 specific genes were related to melanoma metastasis and were mainly involved in the positive regulation of locomotion, mitotic cell cycle process, and epithelial cell differentiation. Four hub genes (CDK1, FOXM1, KIF11, and RFC4) were identified from the cytoHubba plugin of Cytoscape. CDK1 was significantly upregulated in metastatic melanoma compared with primary melanoma, and high CDK1 expression was positively correlated with worse overall survival. Immune infiltration analysis revealed that CDK1 expression negatively correlated with macrophage infiltration (Rho = - 0.164, P = 2.02e-03) and positively correlated with neutrophil cells (Rho = 0.269, P = 2.72e-07) in SKCM metastasis. In addition, we identified that CDK1 had a close interaction with 10 antitumor drugs. CDK1 was identified as a hub gene involved in the progression of melanoma metastasis and may be regarded as a therapeutic target for melanoma patients to improve prognosis and prevent metastasis in the future.
皮肤皮肤黑色素瘤是一种恶性且高度转移性的皮肤肿瘤,其发病率和死亡率在全球仍呈上升趋势。然而,促进黑色素瘤转移的分子机制尚不清楚。本研究从 GEO 数据库中分别下载了 GSE15605 和 GSE46517 数据集,共包含 23 例正常皮肤组织(N)、77 例原发性黑色素瘤组织(T)和 85 例转移性黑色素瘤组织(M)。通过基因本体论和京都基因与基因组百科全书富集分析来探讨差异表达基因(DEGs)的功能。我们使用 STRING 数据库和 Cytoscape 软件构建蛋白质-蛋白质相互作用网络。使用 Cytoscape 的 cytoHubba 插件,我们通过五种分析方法(Degree、Bottleneck、MCC、MNC 和 EPC)来确定最显著的 hub 基因。使用 UALCAN 网站验证 hub 基因的表达。使用癌症基因组图谱资源(TCGA)来研究临床相关性。最后,我们通过肿瘤免疫评估资源(TIMER)数据库来探讨转移相关基因与免疫浸润之间的关系,并使用药物-基因相互作用数据库(Drug-Gene Interaction database)进行药物基因相互作用分析。共有 294 个与黑色素瘤转移相关的特异性基因,主要涉及运动的正调控、有丝分裂细胞周期过程和上皮细胞分化。从 Cytoscape 的 cytoHubba 插件中确定了 4 个关键基因(CDK1、FOXM1、KIF11 和 RFC4)。与原发性黑色素瘤相比,转移性黑色素瘤中 CDK1 的表达明显上调,高 CDK1 表达与总生存期较差呈正相关。免疫浸润分析显示,CDK1 的表达与黑色素瘤转移中的巨噬细胞浸润呈负相关(Rho=-0.164,P=2.02e-03),与中性粒细胞呈正相关(Rho=0.269,P=2.72e-07)。此外,我们发现 CDK1 与 10 种抗肿瘤药物密切相互作用。CDK1 被确定为参与黑色素瘤转移进展的关键基因,可能成为未来改善黑色素瘤患者预后和预防转移的治疗靶点。