SCAMP3 Regulates EGFR and Promotes Proliferation and Migration of Triple-Negative Breast Cancer Cells through the Modulation of AKT, ERK, and STAT3 Signaling Pathways.
Ariana Acevedo-DíazBeatriz M Morales-CabánAstrid Zayas-SantiagoMichelle M Martínez MontemayorIvette J Suárez-ArroyoPublished in: Cancers (2022)
Triple-negative breast cancer (TNBC) is the most aggressive, metastatic, and lethal breast cancer subtype. To improve the survival of TNBC patients, it is essential to explore new signaling pathways for the further development of effective drugs. This study aims to investigate the role of the secretory carrier membrane protein 3 (SCAMP3) in TNBC and its association with the epidermal growth factor receptor (EGFR). Through an internalization assay, we demonstrated that SCAMP3 colocalizes and redistributes EGFR from the cytoplasm to the perinucleus. Furthermore, SCAMP3 knockout decreased proliferation, colony and tumorsphere formation, cell migration, and invasion of TNBC cells. Immunoblots and degradation assays showed that SCAMP3 regulates EGFR through its degradation. In addition, SCAMP3 modulates AKT, ERK, and STAT3 signaling pathways. TNBC xenograft models showed that SCAMP3 depletion delayed tumor cell proliferation at the beginning of tumor development and modulated the expression of genes from the PDGF pathway. Additionally, analysis of TCGA data revealed elevated SCAMP3 expression in breast cancer tumors. Finally, patients with TNBC with high expression of SCAMP3 showed decreased RFS and DMFS. Our findings indicate that SCAMP3 could contribute to TNBC development through the regulation of multiple pathways and has the potential to be a target for breast cancer therapy.
Keyphrases
- signaling pathway
- epidermal growth factor receptor
- cell proliferation
- small cell lung cancer
- tyrosine kinase
- pi k akt
- induced apoptosis
- poor prognosis
- advanced non small cell lung cancer
- epithelial mesenchymal transition
- squamous cell carcinoma
- cancer therapy
- single cell
- cell cycle arrest
- end stage renal disease
- newly diagnosed
- cell cycle
- chronic kidney disease
- electronic health record
- gene expression
- prognostic factors
- drug delivery
- risk assessment
- climate change
- transcription factor
- oxidative stress
- deep learning
- long non coding rna
- genome wide identification
- vascular smooth muscle cells