Supplementray Files.zip

Supplementary files: 
1. Supplementary materials:
Figure S1: Protein-Protein Interaction Networks (PPI) of 310 genes from 20 AAMR-related gene sets; Figure S2: Heatmap and correlation analysis between TMEM251 and enrichment scores; Figure S3: Connections between hub genes and clinicopathological factors; Figure S4: Significantly enriched AAMR-related gene sets in GSEA; Figure S5: Immune infiltration heatmap of different risk groups; Figure S6: Gene mutation patterns of samples. (A) Gene mutation patterns of all samples (n = 330). (B) Gene mutation patterns of the low-risk group. (C) Gene mutation patterns of the high-risk group. Datasheet S1: Pearson correlation analysis between TMEM251 and other genes; Datasheet S2: GO analysis results (BP); Datasheet S3: GO analysis results (CC); Datasheet S4: GO analysis results (MF); Datasheet S5: KEGG analysis results; Datasheet S6: 310 research genes from the 20 enriched gene sets; Datasheet S7: Unsupervised cluster analysis based on 1234 TMEM251-coexpression genes; Datasheet S8: Unsupervised cluster analysis based on 310 genes from the 20 enriched gene sets; Datasheet S9: Unsupervised cluster analysis based on GSVA enrichment scores; Datasheet S10: Differential gene expression analysis between cancer and normal samples; Datasheet S11: The intersection of 310 genes and DEGs; Datasheet S12: LASSO regression analysis of 55 research genes; Datasheet S13: Stepwise multivariate Cox regression analysis for the predictive model; Datasheet S14: Multivariate Cox proportional hazard regression model (without N stage); Datasheet S15: Gene Set Enrichment Analysis (GSEA) results between different risk groups; Datasheet S16: Immune infiltration analysis (CIBERSORT) results; Datasheet S17: Tumor mutation burden (TMB) scores of all samples.

2. Supplementary other files:
Raw data: All raw data included in this article. Code and datasheet: Software codes and associated datasheet.