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In silico analysis of differentially expressed genesets in metastatic breast cancer identifies potential prognostic biomarkers.

Jongchan Kim
Published in: World journal of surgical oncology (2021)
Transcriptome datasets of metastatic breast cancer obtained from Oncomine allow the identification of metastatic breast cancer-specific biological functions, pathways, and novel biomarkers to predict clinical outcomes of breast cancer patients. Further functional studies are needed to warrant validation of their roles as functional tumor-promoting or tumor-suppressing genes.
Keyphrases
  • metastatic breast cancer
  • genome wide
  • rna seq
  • bioinformatics analysis
  • gene expression
  • single cell
  • signaling pathway
  • risk assessment
  • case control
  • molecular dynamics simulations