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Figure 3 | Molecular Cancer

Figure 3

From: Expression profiling of ion channel genes predicts clinical outcome in breast cancer

Figure 3

Validation of ion channel gene expression profiling in breast cancer. (A) Heatmap of log2-transformed fold change of gene expression level between p53 mutant and wild-type tumors (mutant/wild-type). In the SIN cohort, 5 genes were up-regulated (log2-transformed fold change > 0) while 17 genes were down-regulated (log2-transformed fold change < 0) in mutant tumors. The vertical dotted line separates the down- and up- regulated gene clusters (AU = 1 for both clusters). (B) Heatmap of log2-transformed fold change of gene expression level between ER positive and negative groups (ER positive/negative). In the SIN cohort, 16 genes were up-regulated (log2-transformed fold change > 0) while 8 genes were down-regulated (log2-transformed fold change < 0) in ER positive patients. The white cells in the heatmap mean the gene expression data are unavailable in the corresponding datasets. The vertical dotted line separates the down- and up- regulated gene clusters (AU = 0.995 for both clusters). (C) Heatmap of Spearman’s rank correlation coefficient. We found 30 ion channel genes with significant Spearman’s rank correlation between gene expression and histological grade in SIN cohort. Correlation coefficient > 0 means that gene is upregulated in the patients with higher grade while negative correlation coefficient indicates down-regulation in the patients with higher grade. The white cells in the heatmap mean the gene expression data are unavailable in the corresponding datasets. The vertical dotted line separates the down- and up- regulated gene clusters (AU = 1 for both clusters).

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