IGF-1/IGF-1R/FAK/YAP Transduction Signaling Prompts Growth Effects in Triple-Negative Breast Cancer (TNBC) Cells.
Damiano Cosimo RigiraccioloNijiro NohataRosamaria LappanoFrancesca CirilloMarianna TaliaDomenica ScordamagliaJ Silvio GutkindMarcello MaggioliniPublished in: Cells (2020)
Triple-negative breast cancer (TNBC) is an aggressive breast tumor subtype that currently lacks targeted treatment options. The role played by the insulin-like growth factor-1 (IGF-1) and its cognate receptor IGF-1R in TNBC has been reported. Nevertheless, the molecular mechanisms by which the IGF-1/IGF-1R system may contribute to TNBC progression still remains to be fully understood. By computational analysis of the vast cancer genomics information in public databases (TCGA and METABRIC), we obtained evidence that high IGF-1 or IGF-1R levels correlate with a worse clinical outcome in TNBC patients. Further bioinformatics analysis revealed that both the focal adhesion and the Hippo pathways are enriched in TNBC harboring an elevated expression of IGF-1 or IGF-1R. Mechanistically, we found that in TNBC cells, the IGF-1/IGF-1R system promotes the activation of the FAK signal transduction pathway, which in turn regulates the nuclear accumulation of YAP (yes-associated protein/yes-related protein) and the expression of its target genes. At the biological level, we found that the IGF-1/IGF-1R-FAK-YAP network cascade triggers the growth potential of TNBC cells, as evaluated in different experimental systems. Overall, our results suggest that the IGF-1/IGF-1R/FAK/YAP axis may contribute to the progression of the aggressive TNBC subtype.
Keyphrases
- binding protein
- growth hormone
- pi k akt
- cell cycle arrest
- poor prognosis
- escherichia coli
- healthcare
- dna methylation
- chronic kidney disease
- ejection fraction
- drug delivery
- end stage renal disease
- genome wide
- young adults
- cell death
- machine learning
- long non coding rna
- heat shock protein
- artificial intelligence
- heat shock
- deep learning
- prognostic factors
- cystic fibrosis
- quantum dots
- climate change
- single cell
- lymph node metastasis