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<p>To evaluate the relationship between N6-methyladenosine (m6A) modification-related genes and the immune microenvironment characteristics of hepatocellular carcinoma (HCC), and to evaluate the potential of targeting m6A regulators to sensitize HCC cells to immunotherapy. RNA sequencing data and clinicopathologic data of HCC patients were obtained from TCGA and ICGC database. Based on the expression levels of 23 m6A modification regulators, the HCC samples were divided into three m6A clusters by ConsensusClusterPlus algorithm. Survival analysis and clinical features was explored in different clusters. Next, univariate Cox analysis and LASSO regression analysis were applied to screened out 4 immune-related prognostic genes from the differentially expressed genes (DEGs) in the three clusters, and a risk model was established. Next, Kaplan-Meier plot, time-dependent receiver operating characteristic (ROC), multivariable Cox regression analysis were applied to evaluate the prognostic value of risk model. The relationship between the immune microenvironment and the risk model was estimated using the ESTIMATE method and single sample Gene Set Enrichment Analysis (ssGSEA). Finally, immunohistochemistry was applied to explore the correlation between the expression levels of PD-L1 and the key m6A regulators METTL3 and YTHDF1. Most m6A regulators were highly expressed in HCC tissues, and positively correlated with each other. The patients in cluster 3 showed the worse prognosis. 449 of the 710 DEGs were immune regulators, and from the 449 genes, a risk model consisting of 4 m6A-related genes (DNTTIP2, SEPHS1, TCOF1 and TXLNA) was established, which was associated with immune microenvironment characteristics of HCC tissues. The risk model was identified as an independent prognostic factor for the overall survival of HCC patients. Higher levels of YTHDF1 and METTL3 expression in HCC tissues were associated with higher expression of PD-L1. m6A modification participates in regulating immune microenvironment of HCC, and targeting m6A may block the immune escape of HCC cells.</p>

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m6A regulators-based gene expression pattern is associated with immune microenvironment characteristics in hepatocellular carcinoma

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月27日

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  • Wenjuan Wang,
  • Erxiong Wang,
  • Kunqiao Hong,
  • Wei Jiang,
  • Banlai Ruan,
  • Jie Liu,
  • Jinping Tian,
  • Feng Ding,
  • Qiuyun Guo,
  • Qianshan Ding

摘要

To evaluate the relationship between N6-methyladenosine (m6A) modification-related genes and the immune microenvironment characteristics of hepatocellular carcinoma (HCC), and to evaluate the potential of targeting m6A regulators to sensitize HCC cells to immunotherapy. RNA sequencing data and clinicopathologic data of HCC patients were obtained from TCGA and ICGC database. Based on the expression levels of 23 m6A modification regulators, the HCC samples were divided into three m6A clusters by ConsensusClusterPlus algorithm. Survival analysis and clinical features was explored in different clusters. Next, univariate Cox analysis and LASSO regression analysis were applied to screened out 4 immune-related prognostic genes from the differentially expressed genes (DEGs) in the three clusters, and a risk model was established. Next, Kaplan-Meier plot, time-dependent receiver operating characteristic (ROC), multivariable Cox regression analysis were applied to evaluate the prognostic value of risk model. The relationship between the immune microenvironment and the risk model was estimated using the ESTIMATE method and single sample Gene Set Enrichment Analysis (ssGSEA). Finally, immunohistochemistry was applied to explore the correlation between the expression levels of PD-L1 and the key m6A regulators METTL3 and YTHDF1. Most m6A regulators were highly expressed in HCC tissues, and positively correlated with each other. The patients in cluster 3 showed the worse prognosis. 449 of the 710 DEGs were immune regulators, and from the 449 genes, a risk model consisting of 4 m6A-related genes (DNTTIP2, SEPHS1, TCOF1 and TXLNA) was established, which was associated with immune microenvironment characteristics of HCC tissues. The risk model was identified as an independent prognostic factor for the overall survival of HCC patients. Higher levels of YTHDF1 and METTL3 expression in HCC tissues were associated with higher expression of PD-L1. m6A modification participates in regulating immune microenvironment of HCC, and targeting m6A may block the immune escape of HCC cells.