NF-kappa B Signaling-Related Signatures Are Connected with the Mesenchymal Phenotype of Circulating Tumor Cells in Non-Metastatic Breast Cancer.
Marta PopędaTomasz StokowyNatalia Bednarz-KnollAnna JurekMagdalena NiemiraAgnieszka BielskaAdam Jacek KretowskiLeszek KalinowskiJolanta SzadeAleksandra MarkiewiczAnna J ŻaczekPublished in: Cancers (2019)
The role of circulating tumor cells (CTCs), tumor microenvironment (TME), and the immune system in the formation of metastasis is evident, yet the details of their interactions remain unknown. This study aimed at exploring the immunotranscriptome of primary tumors associated with the status of CTCs in breast cancer (BCa) patients. The expression of 730 immune-related genes in formalin-fixed paraffin-embedded samples was analyzed using the multigenomic NanoString technology and correlated with the presence and the phenotype of CTCs. Upregulation of 37 genes and downregulation of 1 gene were observed in patients characterized by a mesenchymal phenotype of CTCs when compared to patients with epithelial CTCs. The upregulated genes were involved in NF-kappa B signaling and in the production of type I interferons. The clinical significance of the differentially expressed genes was evaluated using The Cancer Genome Atlas (TCGA) data of a breast invasive carcinoma (BRCA) cohort. Five of the upregulated genes-PSMD7, C2, IFNAR1, CD84, and CYLD-were independent prognostic factors in terms of overall and disease-free survival. To conclude, our data identify a group of genes that are upregulated in BCa patients with mesenchymal CTCs and reveal their prognostic potential, thus indicating that they merit further investigation.
Keyphrases
- circulating tumor cells
- genome wide
- prognostic factors
- genome wide identification
- circulating tumor
- signaling pathway
- end stage renal disease
- nuclear factor
- stem cells
- bone marrow
- dna methylation
- free survival
- ejection fraction
- newly diagnosed
- chronic kidney disease
- cell proliferation
- oxidative stress
- genome wide analysis
- metastatic breast cancer
- copy number
- big data
- lps induced
- patient reported outcomes
- risk assessment
- long non coding rna
- artificial intelligence
- pi k akt
- immune response