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JAK-STAT信号通路关键基因在皮肤黑色素瘤患者中的预后价值

Prognostic value of key genes of the JAK-STAT signaling pathway in patients with cutaneous melanoma.

作者信息

Pan Fuqiang, Wang Qiaoqi, Li Sizhu, Huang Rui, Wang Xiangkun, Liao Xiwen, Mo Haiyan, Zhang Liming, Zhou Xiang

机构信息

Department of Medical Cosmetology, The Second Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region 530000, P.R. China.

Department of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region 530000, P.R. China.

出版信息

Oncol Lett. 2020 Mar;19(3):1928-1946. doi: 10.3892/ol.2020.11287. Epub 2020 Jan 10.

DOI:10.3892/ol.2020.11287
PMID:32194688
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7039088/
Abstract

The Janus kinase-signal transducer and activator of transcription (JAK-STAT) signaling pathway is involved in cell immunity, division and death, as well as in tumor formation. The expression of key genes in the JAK-STAT signaling pathway in different types of cancer serves different roles. However, few reports are available on the prognostic value of the genes of the JAK-STAT signaling pathway in skin cutaneous melanoma (SKCM). The potential prognostic value of gene expression in the JAK-STAT signaling pathway in patients with SKCM was analyzed in the present study using data obtained from The Cancer Genome Atlas. To predict the potential functions and mechanisms of these genes in SKCM, gene set enrichment analysis (GSEA) and bioinformatics analysis were performed. A nomogram model including gene expression level and high risk factors was used to predict the risk level of prognostic. High expression levels of and , and low expression levels of were associated with favorable prognosis [adjusted P<0.001; hazard ratio (HR), 0.595; 95% confidence interval (CI), 0.455-0.778; adjusted P=0.018; HR, 0.725; 95% CI, 0.555-0.947; adjusted P<0.001; HR, 0.590; 95% CI, 0.450-0.773; adjusted P=0.007; HR, 0.690; 95% CI, 0.526-0.940; and adjusted P=0.026; HR, 0.737, 95% CI, 0.563-0.964, respectively]. GSEA results demonstrated that these genes were involved in cell differentiation, invasion, adhesion, migration, cycle, colony formation and mitogen-activated protein kinase signaling. The combination of genes with favorable prognosis had a better effect on the overall survival (univariate survival analysis, P<0.05). The results of the present study suggest that and gene expression may be used as a potential prognostic biomarker of SKCM, and the combined outcomes may exhibit a stronger interaction and higher survival time for SKCM.

摘要

Janus激酶-信号转导子和转录激活子(JAK-STAT)信号通路参与细胞免疫、分裂与死亡以及肿瘤形成。JAK-STAT信号通路关键基因在不同类型癌症中的表达发挥着不同作用。然而,关于JAK-STAT信号通路基因在皮肤黑色素瘤(SKCM)中的预后价值鲜有报道。本研究利用来自癌症基因组图谱(The Cancer Genome Atlas)的数据,分析了SKCM患者JAK-STAT信号通路中基因表达的潜在预后价值。为预测这些基因在SKCM中的潜在功能和机制,进行了基因集富集分析(GSEA)和生物信息学分析。使用包含基因表达水平和高风险因素的列线图模型预测预后风险水平。[基因名称1]和[基因名称2]的高表达水平以及[基因名称3]的低表达水平与良好预后相关[校正P<0.001;风险比(HR),0.595;95%置信区间(CI),0.455 - 0.778;校正P = 0.018;HR,0.725;95% CI,0.555 - 0.947;校正P<0.001;HR,0.590;95% CI,0.450 - 0.773;校正P = 0.007;HR,0.690;95% CI,0.526 - 0.940;校正P = 0.026;HR,0.737,95% CI,0.563 - 0.964]。GSEA结果表明,这些基因参与细胞分化、侵袭、黏附、迁移、周期、集落形成以及丝裂原活化蛋白激酶信号传导。具有良好预后的基因组合对总生存期有更好的影响(单因素生存分析,P<0.05)。本研究结果表明,[基因名称1]和[基因名称2]基因表达可能作为SKCM的潜在预后生物标志物,并且联合结果可能对SKCM表现出更强的相互作用和更长的生存时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489e/7039088/69025045f2aa/ol-19-03-1928-g11.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489e/7039088/521abbbb5082/ol-19-03-1928-g05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489e/7039088/eaee757d4355/ol-19-03-1928-g07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489e/7039088/3588bea08c42/ol-19-03-1928-g09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489e/7039088/69025045f2aa/ol-19-03-1928-g11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489e/7039088/43635c0270dd/ol-19-03-1928-g00.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489e/7039088/83b043dedab5/ol-19-03-1928-g01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489e/7039088/157aa80e65da/ol-19-03-1928-g03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489e/7039088/a808628574f4/ol-19-03-1928-g04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489e/7039088/521abbbb5082/ol-19-03-1928-g05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489e/7039088/eaee757d4355/ol-19-03-1928-g07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489e/7039088/3588bea08c42/ol-19-03-1928-g09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489e/7039088/69025045f2aa/ol-19-03-1928-g11.jpg

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