Fig. 3

The influence of m6A regulators on tumor progression and prognosis. A, Visualization of m6A regulators negatively correlated with beneficial HCC-related signatures across 31 datasets. The gene node size signifies the negative sum of the correlation between the corresponding gene and beneficial HCC-related signatures. B, Representation of m6A regulators positively correlated with beneficial HCC-related signatures. The gene node size represents the cumulative correlation between the corresponding gene and signatures. C, Display of the composition ratio of the correlation between m6A regulators and beneficial HCC-related signatures among 31 datasets. D, Relationship between IGF2BP2 and HCC-related signatures among 30 datasets. E, Association between IGF2BP2 and HCC-related signatures in GSE14520-GPL3921. F–G, Relationship of IGF2BP2 with proliferation inhibition and metastasis signatures in GSE14520-GPL3921. H, Correlation between nine harmful m6A regulators and overall survival among 14 datasets. I–J, Kaplan-Meier analysis of the correlation between IGF2BP2/IGF2BP3 and overall survival. K, Relationship between four beneficial m6A regulators and overall survival among 12 datasets. L–M, Association between METTL14/ZC3H13 and overall survival. Negative, negative correlation. Positive, positive correlation. No, absence of correlation. Cor, correlation coefficient. *P < 0.2 and |Cor|>0.1, **P < 1e-6 and |Cor|>0.1, ***P < 1e-11 and |Cor|>0.1