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Fig. 2 | Respiratory Research

Fig. 2

From: HNRNPC, a predictor of prognosis and immunotherapy response based on bioinformatics analysis, is related to proliferation and invasion of NSCLC cells

Fig. 2

The RS based on 5 m6A-related genes with excellent prognostic value was a predictor of prognosis and immunotherapy response for NSCLC, in which HNRNPC was considered as the most influential m6A regulator. a The distribution of risk score (RS) in samples of The Cancer Genome Atlas (TCGA) dataset and GSE50081 validation dataset. b The distribution of overall survival status in samples of TCGA dataset and GSE50081 validation dataset. c ROC curve analysis of RS was performed. In TCGA dataset, the RS showed a good performance for prognostic prediction with area under ROC curves (AUCs) of 0.774, 0.7826, 0.703 for 1-, 3-, 5-year survival time. The AUCs for 1-, 3-, and 5-year survival time was 0.746, 0.726 and 0.695 in validation dataset. d Low RS group was correlated with longer survival time in both TCGA and GSE50081 datasets. e RS value was significantly different between the two subtypes. f RS value was significantly different between the patients with recurrence and without recurrence. g RS was positively correlated with infiltration of CD8 + T cell, while was negatively correlated with the infiltration levels of B cell and CD4 + T cell

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