HER2-driven breast cancer suppression by the JNK signaling pathway.
Zeynep ItahShanzah ChaudhrySithara Raju PonnyOzkan AydemirAlexandra LeeJulie Cavanagh-KyrosCathy TournierWilliam J MullerRoger J DavisPublished in: Proceedings of the National Academy of Sciences of the United States of America (2023)
The HER2 + subtype of human breast cancer is associated with the malignant transformation of luminal ductal cells of the mammary epithelium. The sequence analysis of tumor DNA identifies loss of function mutations and deletions of the MAP2 K4 and MAP2 K7 genes that encode direct activators of the JUN NH 2 -terminal kinase (JNK). We report that in vitro studies of human mammary epithelial cells with CRISPR-induced mutations in the MAPK and MAP2K components of the JNK pathway caused no change in growth in 2D culture, but these mutations promoted epithelial cell proliferation in 3D culture. Analysis of gene expression signatures in 3D culture demonstrated similar changes caused by HER2 activation and JNK pathway loss. The mechanism of signal transduction cross-talk may be mediated, in part, by JNK-suppressed expression of integrin α6β4 that binds HER2 and amplifies HER2 signaling. These data suggest that HER2 activation and JNK pathway loss may synergize to promote breast cancer. To test this hypothesis, we performed in vivo studies using a mouse model of HER2 + breast cancer with Cre/loxP -mediated ablation of genes encoding JNK ( Mapk8 and Mapk9 ) and the MAP2K ( Map2 k4 and Map2 k7 ) that activate JNK in mammary epithelial cells. Kaplan-Meier analysis of tumor development demonstrated that JNK pathway deficiency promotes HER2 + -driven breast cancer. Collectively, these data identify JNK pathway genes as potential suppressors for HER2 + breast cancer.
Keyphrases
- signaling pathway
- induced apoptosis
- pi k akt
- cell death
- genome wide
- epithelial mesenchymal transition
- gene expression
- oxidative stress
- endoplasmic reticulum stress
- cell proliferation
- mouse model
- endothelial cells
- high density
- dna methylation
- electronic health record
- tyrosine kinase
- high glucose
- deep learning
- risk assessment
- machine learning
- atrial fibrillation
- crispr cas
- drug induced
- radiofrequency ablation
- replacement therapy
- metal organic framework