LncRNA SNHG15 predicts poor prognosis in uveal melanoma and its potential pathways.
LncRNA SNHG15 predicts poor prognosis in uveal melanoma and its potential pathways.
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DOI：
10.18240/ijo.2020.08.04
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发表时间：
2020-08
影响因子：
1.4
通讯作者：
Xue Wu;Xiaofeng Li;Qian Wu;R. Ma;J. Qian;Rui Zhang
中科院分区：
文献类型：
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作者：
Xue Wu;Xiaofeng Li;Qian Wu;R. Ma;J. Qian;Rui Zhang
目的探讨长链非编码RNA（lncRNA）SNHG 15在葡萄膜黑色素瘤（UM）中的作用及其可能的作用途径。方法收集80例UM患者的SNHG 15 mRNA表达水平及相应的临床病理特征，并进行分析。采用SPSS24.0统计软件包进行统计分析。为了探讨SNHG 15在UM中的潜在功能，我们对基因集富集分析（GSEA）进行了深入研究。结果单因素分析显示，年龄、肿瘤直径、病理类型、巩膜外浸润、肿瘤状态、SNHG 15高表达是全因死亡的危险因素。多因素分析提示SNHG 15 mRNA表达水平与年龄、病理类型一样，是全因死亡的独立危险因素。Kaplan-Meier生存分析证实SNHG 15高表达的UM患者可能预后不良。SNHG 15在不同肿瘤病理分期、转移和生存状态组中的表达差异有统计学意义。Logistic回归分析显示SNHG 15高表达组与肿瘤状态、病理分期、转移及生存状态显著相关。此外，GSEA提示了SNHG 15在UM中的潜在调控途径。结论SNHG 15可能作为一个潜在的标志物在UM中发挥重要作用，预测预后不良。此外，GSEA表明SNHG 15高表达表型中存在差异性富集的潜在信号通路。
AIM To evaluate the role of long noncoding RNA (lncRNA) SNHG15 and its potential pathways in uveal melanoma (UM). METHODS The SNHG15 mRNA expression level and corresponding clinicopathological characteristics of 80 patients with UM were obtained from the Cancer Genome Atlas (TCGA) database and further analyzed. The SPSS 24.0 statistical software package was used for statistical analyses. To investigate the potential function of SNHG15 in UM, we conducted in-depth research on Gene Set Enrichment Analysis (GSEA). RESULTS The univariate analysis revealed that the age, tumor diameter, pathological type, extrascleral extension, cancer status, and high expression of SNHG15 were statistical risk factors for death from all causes. The multivariate analysis suggested that the mRNA expression level of SNHG15 was an independent risk factor for death from all causes, as was age and pathological type. Kaplan-Meier survival analysis confirmed that UM patients with high SNHG15 expression might have a poor prognosis. In addition, SNHG15 was significantly differentially expressed in the different groups of tumor pathologic stage, metastasis and living status. Besides, the logistic regression analysis indicated that high SNHG15 expression group in UM was significantly associated with cancer status, pathologic stage, metastasis, and living status. Moreover, the GSEA indicated the potential pathways regulated by SNHG15 in UM. CONCLUSION Our research suggests that SNHG15 may play a vital role as a potential marker in UM that predicts poor prognosis. Besides, GSEA indicates the underlying signaling pathways enriched differentially in SNHG15 high expression phenotype.