Pan Junfan, Huang Zhidong, Xu Yiquan
Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Quanzhou First Hospital of Fujian Medical University, Quanzhou, China.
Front Oncol. 2021 Jun 9;11:657466. doi: 10.3389/fonc.2021.657466. eCollection 2021.
RNA methylation is a novel epigenetic modification that can be used to evaluate tumor prognosis. However, the underlying mechanisms are unclear. This study aimed to investigate the genetic characteristics of 5-methylcytosine (m5C) and N1-methyladenosine (m1A) regulators in lung squamous cell carcinoma (LUSC) and the prognostic value and immune-related effects of m5C regulators. To this end, we selected the public LUSC dataset from the Cancer Genome Atlas and Gene Expression Omnibus. The least absolute shrinkage and selection operator regression model was used to identify prognostic risk signatures. We used the UALCAN and Human Protein Atlas databases to study the expression of target gene mRNA/protein expression. Furthermore, the Tumor Immune Single Cell Hub and the Tumor Immune Estimation Resource were used to evaluate the degree of immune cell infiltration. Most of the m5C and m1A regulators showed significantly different expression between LUSC and normal samples. The m5C regulators were associated with poor prognosis. In addition, a prognostic risk signature was developed based on two m5C regulators, NOP2/Sun RNA methyltransferase 3 (), and NOP2/Sun RNA methyltransferase 4 (). Compared with normal lung tissues, the expression of and in the LUSC TCGA dataset was increased, which was related to clinicopathological characteristics and survival. and were related to the infiltration of six major immune cells; especially , which was closely related to CD8+ T cells, while was closely related to neutrophils. Our findings suggest that m5C regulators can predict the clinical prognosis risk and regulate the tumor immune microenvironment in LUSC.
RNA甲基化是一种可用于评估肿瘤预后的新型表观遗传修饰。然而,其潜在机制尚不清楚。本研究旨在探讨肺鳞状细胞癌(LUSC)中5-甲基胞嘧啶(m5C)和N1-甲基腺苷(m1A)调节因子的遗传特征以及m5C调节因子的预后价值和免疫相关效应。为此,我们从癌症基因组图谱和基因表达综合数据库中选择了公开的LUSC数据集。使用最小绝对收缩和选择算子回归模型来识别预后风险特征。我们使用UALCAN和人类蛋白质图谱数据库来研究目标基因mRNA/蛋白质表达。此外,利用肿瘤免疫单细胞中心和肿瘤免疫估计资源来评估免疫细胞浸润程度。大多数m5C和m1A调节因子在LUSC和正常样本之间表现出显著不同的表达。m5C调节因子与不良预后相关。此外,基于两种m5C调节因子,即NOP2/Sun RNA甲基转移酶3( )和NOP2/Sun RNA甲基转移酶4( )建立了一个预后风险特征。与正常肺组织相比,LUSC的TCGA数据集中 和 的表达增加,这与临床病理特征和生存相关。 和 与六种主要免疫细胞的浸润有关;特别是 ,它与CD8 + T细胞密切相关,而 与中性粒细胞密切相关。我们的研究结果表明,m5C调节因子可以预测LUSC的临床预后风险并调节肿瘤免疫微环境。