Comprehensive Analysis of N6-Methyladenosine (m⁶A) RNA Methylation Regulators and Tumour Microenvironment Cell Infiltration Involving Prognosis and Immunotherapy in Gastroesophageal Adenocarcinomas

Figure 7

Risk signature with three m6A RNA methylation regulators. (a) The process of building the signature containing 21 m6A RNA methylation regulators. The hazard ratios (HRs), 95% confidence intervals (CIs) calculated by univariate Cox regression. (b, c) The coefficients calculated by multivariate Cox regression using LASSO is shown. (d) Kaplan–Meier overall survival (OS) curves for patients in TCGA datasets are assigned to high- and low-risk groups based on the risk score. (e) ROC curves showed the predictive efficiency of the risk signature. (f) Univariate Cox regression analyses of the correlation between clinicopathological features and overall survival of patients in TCGA datasets. (g) Multivariate Cox regression analyses of the correlation between clinicopathological features and overall survival of patients in TCGA datasets. (h) Risk score by Cluster 1/2 in TCGA cohort. (i) The differential expression of three risk-signature regulators (KIAA1429, HNRNPA2B1, and FMR1) between Cluster 1 and Cluster 2. (j) 22 different immune cells' abundance inferred by CIBERSORT for different risk groups. (k) Enrichment plots from gene set enrichment analysis (GSEA) between high- and low-risk score groups.

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