Embryonic bone morphogenetic protein and nodal induce invasion in melanocytes and melanoma cells.
Tobias SinnbergHeike NiessnerMitchell P LevesqueChristoph DettweilerClaus GarbeChristian BuschPublished in: Biology open (2018)
Despite recent progress in melanoma therapy via inhibition of activated oncogenes or immune stimulation, most stage IV melanoma patients still have limited survival times. Existing therapeutic approaches eventually fail to prevent further invasion and metastasis, which is driven by a morphological process termed epithelial-mesenchymal transition (EMT). We previously demonstrated that inhibition of EMT in melanoma cells via antagonizing the bone morphogenetic protein (BMP)-pathway abrogated EMT and neural crest migration of melanoma cells in chick embryos. Here, we show that BMP-2 is highly expressed in invasive melanoma cells and is elevated in the serum of stage IV melanoma patients compared to stage IB-IIC patients and healthy controls. Highly BMP-2-expressing melanoma cells display enhanced invasion in the rhombencephalon of the chick embryo. In addition to driving neural crest migration in the zebrafish embryo, the agonists BMP-2, BMP-7 and nodal induce EMT/invasion in radial growth phase melanoma cells and in human melanocytes in skin reconstructs. Blocking either BMP or nodal signaling by antagonists (noggin, lefty), or the Alk4/5/7-receptor inhibitor SB431542, decreases EMT and invasion of melanoma cells in human epidermal skin reconstructs. Together, our data suggest that inhibition of EMT-inducing pathways in melanoma might be a therapeutic approach to attenuate melanoma cell invasiveness.
Keyphrases
- epithelial mesenchymal transition
- end stage renal disease
- mesenchymal stem cells
- ejection fraction
- chronic kidney disease
- newly diagnosed
- cell migration
- prognostic factors
- peritoneal dialysis
- neoadjuvant chemotherapy
- patient reported outcomes
- signaling pathway
- electronic health record
- stem cells
- bone marrow
- single cell
- bone regeneration
- deep learning
- skin cancer
- rectal cancer
- epidermal growth factor receptor
- artificial intelligence
- ultrasound guided
- data analysis