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AIM:To construct an immune-related prognostic signature(IPS)that can distinguish and predict prognosis in uveal melanoma(UM).METHODS:The transcriptomic data and clinicopathological information of 80 UM patients were extracted from the TCGA database.These patients were randomly assigned to a training and a testing set.RESULTS:Lasso Cox analysis was performed for the prognostic immune-related genes to develop an IPS for UM in the training set.The signature was validated in both the testing set and entire cohort.We confirmed the prognostic value of our IPS in distinct subgroups and found its association with the T stage and basal diameter of the tumor.Tumor Immune Estimation Resource database analysis revealed that the IPS was negatively correlated with the infiltration of neutrophils and dendritic cells,but positively correlated with the infiltration level of CD8+T cells.In addition,we demonstrated that immune checkpoints containing PD-1,CTLA-4,IDO,and TIGIT were moderately associated with the IPS.CONCLUSION:This is the first study to develop and validate an immune-related signature with the ability of predicting prognosis for UM patients.Further studies are needed to validate its prediction accuracy.
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篇名 Identification of an immune-related signature for the prognosis of uveal melanoma
来源期刊 国际眼科杂志:英文版 学科 医学
关键词 UVEAL MELANOMA TCGA PROGNOSIS immune-related SIGNATURE
年,卷(期) 2020,(3) 所属期刊栏目
研究方向 页码范围 458-465
页数 8页 分类号 R739.7
字数 语种
DOI
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研究主题发展历程
节点文献
UVEAL
MELANOMA
TCGA
PROGNOSIS
immune-related
SIGNATURE
研究起点
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研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
国际眼科杂志:英文版
月刊
2222-3959
西安市友谊东路269号
出版文献量(篇)
2720
总下载数(次)
2
总被引数(次)
0
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