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A Novel m7G-Related Gene Signature Predicts the Prognosis of Colon Cancer

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 [Multidisciplinary Digital Publishing Institute]
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.

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