当前位置: X-MOL 学术Artif. Cells Nanomed. Biotechnol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Construction of immune-related risk signature for uveal melanoma.
Artificial Cells, Nanomedicine, and Biotechnology ( IF 5.8 ) Pub Date : 2020-06-05 , DOI: 10.1080/21691401.2020.1773480
Zhaotian Zhang 1 , Yao Ni 1 , Genghang Chen 2 , Yantao Wei 1 , Manjuan Peng 1 , Shaochong Zhang 1
Affiliation  

Uveal melanoma (UM) is the most frequent primary ocular tumour among adults. Here, we aimed to establish the immune cell-based signature to predict the overall survival (OS) of UM patients. The mRNA profile and matched clinical records of 80 UM patients were downloaded from The Cancer Genome Atlas (TCGA) database. CIBERSORT was used to verify the immune cell types of individuals. The univariate analysis found the CD8+ T cell, monocyte, CD4+ memory T cell (resting) and mast cell (resting) were significantly associated with the OS of UM patients. Subsequently, the LASSO Cox regression test was applied to establish the signature, by which the patients were separated into high- and low-risk subgroups. The Kaplan-Meier analyses found for these patients in the high-risk group had a poor survival rate than those in the low-risk group. The predictive value and stability were confirmed by the receiver operative characteristics curves. Pathway analyses found that the differentially expressed genes between the high- and low-risk subgroups were mainly centralised on immune response-related pathways. Further, the comparison of our signature with clinicopathological records confirmed its superiority and independence. In summary, we established an immune cell-based prognosis-predicting signature for UM patients, which will benefit the individual's treatment.

中文翻译:

葡萄膜黑色素瘤免疫相关危险信号的构建。

葡萄膜黑色素瘤(UM)是成人中最常见的原发性眼部肿瘤。在这里,我们旨在建立基于免疫细胞的特征来预测UM患者的整体生存(OS)。从癌症基因组图谱(TCGA)数据库下载了80名UM患者的mRNA谱图和匹配的临床记录。CIBERSORT用于验证个体的免疫细胞类型。单变量分析发现CD8 + T细胞,单核细胞,CD4 +记忆T细胞(静止)和肥大细胞(静止)与UM患者的OS显着相关。随后,应用LASSO Cox回归测试建立特征,将患者分为高风险和低风险亚组。Kaplan-Meier分析发现,高风险组的这些患者的生存率较低风险组低。预测值和稳定性由接受者的操作特征曲线证实。途径分析发现,高危和低危亚组之间差异表达的基因主要集中在免疫应答相关途径上。此外,我们的签名与临床病理记录的比较证实了其​​优越性和独立性。总之,我们为UM患者建立了基于免疫细胞的预后预测特征,这将有益于个体的治疗。我们的签名与临床病理记录的比较证实了其​​优越性和独立性。总之,我们为UM患者建立了基于免疫细胞的预后预测特征,这将有益于个体的治疗。我们的签名与临床病理记录的比较证实了其​​优越性和独立性。总之,我们为UM患者建立了基于免疫细胞的预后预测特征,这将有益于个体的治疗。
更新日期:2020-06-05
down
wechat
bug