基因
生物标志物
癌变
基因表达
RNA甲基化
甲基化
肿瘤科
计算生物学
生物
遗传学
医学
甲基转移酶
作者
Jing Chen,Yiwen Song,Guan-Zhan Liang,Zong-Jin Zhang,Xiaofeng Wen,Rui-Bing Li,Yongle Chen,Wei-Dong Pan,Xiaowen He,Tuo Hu,Zhenyu Xian
出处
期刊:Cancers
[MDPI AG]
日期:2022-11-10
卷期号:14 (22): 5527-5527
被引量:2
标识
DOI:10.3390/cancers14225527
摘要
Colon cancer (CC), one of the most common malignancies worldwide, lacks an effective prognostic prediction biomarker. N7-methylguanosine (m7G) methylation is a common RNA modification type and has been proven to influence tumorigenesis. However, the correlation between m7G-related genes and CC remains unclear. The gene expression levels and clinical information of CC patients were downloaded from public databases. Twenty-nine m7G-related genes were obtained from the published literature. Via unsupervised clustering based on the expression levels of m7G-related genes, CC patients were divided into three m7G clusters. Based on differentially expressed genes (DEGs) from the above three groups, CC patients were further divided into three gene clusters. The m7G score, a prognostic model, was established using principal component analysis (PCA) based on 15 prognosis-associated m7G genes. KM curve analysis demonstrated that the overall survival rate was remarkably higher in the high-m7G score group, which was much more significant in advanced CC patients as confirmed by subgroup analysis. Correlation analysis indicated that the m7G score was associated with tumor mutational burden (TMB), PD-L1 expression, immune infiltration, and drug sensitivity. The expression level of prognosis-related m7G genes was further confirmed in human CC cell lines and samples. This study established an m7G gene-based prognostic model (m7G score), which demonstrated the important roles of m7G-related genes during CC initiation and progression. The m7G score could be a practical biomarker to predict immunotherapy response and prognosis in CC patients.
科研通智能强力驱动
Strongly Powered by AbleSci AI