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皮肤黑色素瘤发生和转移过程中关键基因及信号通路的综合分析与鉴定

Comprehensive analysis and identification of key genes and signaling pathways in the occurrence and metastasis of cutaneous melanoma.

作者信息

Dai Hanying, Guo Lihuang, Lin Mingyue, Cheng Zhenbo, Li Jiancheng, Tang Jinxia, Huan Xisha, Huang Yue, Xu Keqian

机构信息

Department of Laboratory Medicine, the Third Xiangya Hospital, Central South University, ChangSha, HuNan, People's Republic of China.

Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, ChangSha, HuNan, People's Republic of China.

出版信息

PeerJ. 2020 Nov 19;8:e10265. doi: 10.7717/peerj.10265. eCollection 2020.

Abstract

BACKGROUND

Melanoma is a malignant tumor of melanocytes, and the incidence has increased faster than any other cancer over the past half century. Most primary melanoma can be cured by local excision, but metastatic melanoma has a poor prognosis. Cutaneous melanoma (CM) is prone to metastasis, so the research on the mechanism of melanoma occurrence and metastasis will be beneficial to diagnose early, improve treatment, and prolong life survival. In this study, we compared the gene expression of normal skin (N), primary cutaneous melanoma (PM) and metastatic cutaneous melanoma (MM) in the Gene Expression Omnibus (GEO) database. Then we identified the key genes and molecular pathways that may be involved in the development and metastasis of cutaneous melanoma, thus to discover potential markers or therapeutic targets.

METHODS

Three gene expression profiles (GSE7553, GSE15605 and GSE46517) were downloaded from the GEO database, which contained 225 tissue samples. R software identified the differentially expressed genes (DEGs) between pairs of N, PM and MM samples in the three sets of data. Subsequently, we analyzed the gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway of the DEGs, and constructed a protein-protein interaction (PPI) network. MCODE was used to seek the most important modules in PPI network, and then the GO function and KEGG pathway of them were analyzed. Finally, the hub genes were calculated by the cytoHubba in Cytoscape software. The Cancer Genome Atlas (TCGA) data were analyzed using UALCAN and GEPIA to validate the hub genes and analyze the prognosis of patients.

RESULTS

A total of 134, 317 and 147 DEGs were identified between N, PM and MM in pair. GO functions and KEGG pathways analysis results showed that the upregulated DEGs mainly concentrated in cell division, spindle microtubule, protein kinase activity and the pathway of transcriptional misregulation in cancer. The downregulated DEGs occurred in epidermis development, extracellular exosome, structural molecule activity, metabolic pathways and p53 signaling pathway. The PPI network obtained the most important module, whose GO function and KEGG pathway were enriched in oxidoreductase activity, cell division, cell exosomes, protein binding, structural molecule activity, and metabolic pathways. 14, 18 and 18 DEGs were identified respectively as the hub genes between N, PM and MM, and TCGA data confirmed the expression differences of hub genes. In addition, the overall survival curve of hub genes showed that the differences in these genes may lead to a significant decrease in overall survival of melanoma patients.

CONCLUSIONS

In this study, several hub genes were found from normal skin, primary melanoma and metastatic melanoma samples. These hub genes may play an important role in the production, invasion, recurrence or death of CM, and may provide new ideas and potential targets for its diagnosis or treatment.

摘要

背景

黑色素瘤是一种黑素细胞的恶性肿瘤,在过去半个世纪中,其发病率的增长速度超过了其他任何癌症。大多数原发性黑色素瘤可通过局部切除治愈,但转移性黑色素瘤的预后较差。皮肤黑色素瘤(CM)易于转移,因此对黑色素瘤发生和转移机制的研究将有助于早期诊断、改善治疗并延长生存期。在本研究中,我们在基因表达综合数据库(GEO)中比较了正常皮肤(N)、原发性皮肤黑色素瘤(PM)和转移性皮肤黑色素瘤(MM)的基因表达。然后我们确定了可能参与皮肤黑色素瘤发生和转移的关键基因和分子途径,从而发现潜在的标志物或治疗靶点。

方法

从GEO数据库下载了三个基因表达谱(GSE7553、GSE15605和GSE46517),其中包含225个组织样本。R软件确定了三组数据中N、PM和MM样本对之间的差异表达基因(DEG)。随后,我们分析了DEG的基因本体(GO)功能和京都基因与基因组百科全书(KEGG)途径,并构建了蛋白质-蛋白质相互作用(PPI)网络。使用MCODE在PPI网络中寻找最重要的模块,然后分析它们的GO功能和KEGG途径。最后,通过Cytoscape软件中的cytoHubba计算枢纽基因。使用UALCAN和GEPIA分析癌症基因组图谱(TCGA)数据,以验证枢纽基因并分析患者的预后。

结果

在N、PM和MM之间分别共鉴定出134、317和147个DEG。GO功能和KEGG途径分析结果表明,上调的DEG主要集中在细胞分裂、纺锤体微管、蛋白激酶活性以及癌症中的转录失调途径。下调的DEG发生在表皮发育、细胞外囊泡、结构分子活性、代谢途径和p53信号通路中。PPI网络获得了最重要的模块,其GO功能和KEGG途径在氧化还原酶活性、细胞分裂、细胞外囊泡、蛋白质结合、结构分子活性和代谢途径中富集。分别将14、18和18个DEG鉴定为N、PM和MM之间的枢纽基因,TCGA数据证实了枢纽基因的表达差异。此外,枢纽基因的总生存曲线表明,这些基因的差异可能导致黑色素瘤患者的总生存率显著降低。

结论

在本研究中,从正常皮肤、原发性黑色素瘤和转移性黑色素瘤样本中发现了几个枢纽基因。这些枢纽基因可能在CM的产生、侵袭、复发或死亡中起重要作用,并可能为其诊断或治疗提供新的思路和潜在靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e39c/7680623/94da7a74a0a8/peerj-08-10265-g001.jpg

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