Fig. 5

RSK3 sustains EMT during senescence escape and it correlates with TGFβ signaling and EMT in human breast tumors. A GSEA was performed on the data comparing TGFβ-treated HMECT-pWZL to non-treated HMECT-pWZL conditions (Ctrl TGFβ vs NT) and TGFβ-treated HMECT-pWZL/RSK3 to TGFβ-treated HMECT-pWZL conditions (RSK3 TGFβ vs Ctrl TGFβ). False Discovery Rate (FDR), pValue and Normalized Enrichment Score (NES) are indicated. B Immunofluorescence staining was performed 5 days after treatment with TGFβ (representative of 2 experiments, scale bar = 20 μm) (left). Western Blot exibiting changes in EMT markers (right) (Representative of 3 experiments). C-G Analysis of the METABRIC breast cancer gene expression database. C Graph showing Pearson’s correlation coefficients between RSK3 expression and the expression of genes known to be down- or up-regulated during EMT in breast tumors. D Correlation between EMT score and RSK3 expression in Claudin-low breast tumors. E–G Claudin-low breast tumors were divided into 2 groups by the median of RSK3 expression, the fold change between RSK3 high vs low was calculated for all the genes and GSEA was performed. GSEA enrichment plot related to TGFβ (E), cellular senescence (F) and NF-κB regulated genes (G) are shown