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Journal of Big Data
Fig. 5 | Journal of Big Data

Fig. 5

From: Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment

Fig. 5

A Gene ontology analysis of genes involved in anoikis (biological process, molecular function and cellular components). B KEGG pathway analysis of the intersection genes of two patterns of anoikis genes. C, D Consensus clustering of genes associated with anoikis phenotypes. E Survival analysis of genes associated with anoikis phenotype in two gene clusters. F Alluvial diagram of the relationship between the two modes of ARGs with the risk and survival status. G Unsupervised clustering matrix of anoikis clusters. H The gene expression of regulators of 28 anoikis genes was in two gene clusters. I Inter-group analysis of ARGs score between two ARGs clusters. J Inter-group analysis of ARGs gene cluster score between two clusters. K 28 anoikis-related genes expression in the high- and low-risk gene clustering group. L Tumor microenvironment scores difference of estimate score, immune score, stromal score in high-risk group and low-risk group. M Gene clustering analysis of two different anoikis gene clusters with stage, gender, age and project. N Correlation analysis between ARG score and tumor infiltrating immune cells

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