In-Silico Analysis of Differentially Expressed Genes and Their Regulating microRNA Involved in Lymph Node Metastasis in Invasive Breast Carcinoma.
Anupama ModiPurvi PurohitAshita GadwalShweta UkeyDipayan RoySujoy FernandesMithu BanerjeePublished in: Cancer investigation (2021)
Axillary nodal metastasis is related to poor prognosis in breast cancer (BC). Key candidate genes in BC lymph node metastasis have been identified from Gene Expression Omnibus datasets and explored through functional enrichment database for annotation, visualization and integrated discovery (DAVID) , protein-protein interaction by Search Tool for the Retrieval of Interacting Genes and proteins (STRING), network visualization (Cytoscape), survival analysis (GEPIA, KM Plotter), and target prediction (miRNet). A total of 102 overlapping differentially expressed genes were found. In-silico survival and expression analyses revealed six candidate hub genes, Desmocollin 3 (DSC3), KRT5, KRT6B, KRT17, KRT81, and SERPINB5, to be significantly associated with nodal metastasis and overall survival, and 83 MicroRNA (miRNAs), which may be potential diagnostic markers and therapeutic targets in BC patients.
Keyphrases
- lymph node metastasis
- poor prognosis
- bioinformatics analysis
- genome wide
- squamous cell carcinoma
- gene expression
- protein protein
- papillary thyroid
- long non coding rna
- lymph node
- small molecule
- end stage renal disease
- neoadjuvant chemotherapy
- genome wide identification
- dna methylation
- chronic kidney disease
- free survival
- molecular docking
- ejection fraction
- genome wide analysis
- newly diagnosed
- prognostic factors
- peritoneal dialysis
- early stage
- radiation therapy
- transcription factor
- sentinel lymph node
- protein kinase
- human health
- single cell
- childhood cancer