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Fig. 2 | Journal of Translational Medicine

Fig. 2

From: Bulk and single-cell transcriptome profiling reveal necroptosis-based molecular classification, tumor microenvironment infiltration characterization, and prognosis prediction in colorectal cancer

Fig. 2

Identification of necroptosis-related subtypes in CRC. A Correlation between 33 NRGs. The size of each gene represents survival impact (log-rank test P values indicated). Favorable factors for overall survival indicated in green, and risk factors indicated in purple. The thickness of the line represents the strength of correlation estimated by Pearson correlation analysis. Positive correlation is indicated in pink and negative correlation in blue. B Plot shows the cumulative distribution function (CDF) curve. C Heatmap shows the consensus matrix heatmap using “ConsensusClusterPlus”. The optimal number of clusters: K = 3. D Kaplan–Meier curves for overall survival of three necroptosis-related clusters (NRC) in TCGA. The P value was calculated by the log-rank test. E Heatmap shows the differences in clinicopathologic features and expression levels of NRGs between three NRCs. The statistical difference of clinicopathologic features was compared through Pearson’s Chi-square test. F Principal component analysis of three NRCs in TCGA-COAD/READ cohort

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