基因敲除
比例危险模型
黑色素瘤
基因签名
签名(拓扑)
计算生物学
肿瘤科
癌症研究
免疫系统
Lasso(编程语言)
生物
基因
医学
计算机科学
内科学
基因表达
免疫学
遗传学
数学
几何学
万维网
作者
Jiaheng Xie,Liang Chen,Yuan Cao,Chenfeng Ma,Wenhu Zhao,JinJing Li,Wen Yao,Yiming Hu,Ming Wang,Jingping Shi
出处
期刊:Aging
[Impact Journals LLC]
日期:2023-03-14
卷期号:15 (6): 2082-2096
被引量:7
标识
DOI:10.18632/aging.204592
摘要
Uveal melanoma is a highly malignant tumor in the eye. Its recurrence and metastasis are common, and the prognosis is poor.The transcriptome data of UVM were downloaded from TCGA database, and the single cell sequencing dataset GSE139829 was downloaded from GEO database. Weighted co-expression network analysis was used to explore the modules associated with m7G. Lasso regression was used to construct M7G-related prognostic signature. Immune infiltration analysis was used to explore the significance of the model in the tumor immune microenvironment. Finally, cell assays were used to explore the function of key genes in the MUM-2B and OCM-1 cell lines of UVM.The prognostic signature was constructed by Cox regression and Lasso regression. Patients could be divided into high-risk group and low-risk group by this signature, and the high-risk group had worse prognosis (P<0.05). Cell experiments showed that the proliferation, invasion and migration ability of UVM cell lines were significantly decreased after the knockdown of PAG1, a key gene in signature, which proved that PAG1 might be a potential target of UVM.Our study explored the significance of m7G in UVM, provided biomarkers for its diagnosis and treatment.
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