Neutrophil Extracellular Traps (NETs) Promote Pro-Metastatic Phenotype in Human Breast Cancer Cells through Epithelial-Mesenchymal Transition.
Karina Martins-CardosoVitor Hugo AlmeidaKayo Moreira BagriMaria Isabel Doria RossiCláudia Dos Santos MermelsteinSandra KönigRobson Q MonteiroPublished in: Cancers (2020)
Neutrophil extracellular traps (NETs) have been associated with several steps of tumor progression, including primary growth and metastasis. One of the key features for the acquisition of the metastatic ability is the epithelial-mesenchymal transition (EMT), a complex cellular program. In this study, we evaluated the ability of isolated NETs in modulating the pro-metastatic phenotype of human breast cancer cells. Tumor cells were treated with isolated NETs and then samples were generated for cell migration, quantitative RT-PCR, western blotting, immunofluorescence, and flow cytometry assays. RNA-seq data from The Cancer Genome Atlas (TCGA) database were assessed. NETs changed the typical epithelial morphology of MCF7 cells into a mesenchymal phenotype, a process that was accompanied by enhanced migratory properties. Additional EMT traits were observed: increased expression of N-cadherin and fibronectin, while the E-cadherin expression was repressed. Notably, NETs positively regulated the gene expression of several factors linked to the pro-inflammatory and pro-metastatic properties. Analyses of TCGA data showed that samples from breast cancer patients exhibit a significant correlation between pro-tumoral and neutrophil signature gene expression, including several EMT and pro-metastatic factors. Therefore, NETs drive pro-metastatic phenotype in human breast cancer cells through the activation of the EMT program.
Keyphrases
- epithelial mesenchymal transition
- breast cancer cells
- gene expression
- squamous cell carcinoma
- small cell lung cancer
- endothelial cells
- anti inflammatory
- signaling pathway
- poor prognosis
- cell migration
- rna seq
- transforming growth factor
- single cell
- flow cytometry
- induced pluripotent stem cells
- dna methylation
- induced apoptosis
- stem cells
- bone marrow
- young adults
- cell death
- cell cycle arrest
- long non coding rna
- high resolution
- high throughput
- machine learning
- quality improvement
- emergency department
- south africa
- pi k akt
- artificial intelligence
- deep learning
- papillary thyroid
- cell adhesion
- adverse drug
- childhood cancer
- lymph node metastasis