Identification of genes crucial for biological processes in breast cancer liver metastasis relapse

HIGHLIGHTS

• What: This research investigated breast by employing a comprehensive approach that integrated data filtering gene ontology and KEGG pathway analysis overall survival analysis identification of the alteration in the DEGs visualization of the protein-protein interaction network Signor 2.0 identification of positively correlated genes immune cell infiltration analysis genetic alternation analysis copy number variant analysis gene-tomRNA interaction transcription factor analysis molecular docking and identification of potential treatment targets. By analyzing differentially expressed genes (DEGs) between primary breast tumors and BCLM lesions the authors aimed to shed light on the diversities of this process. The authors . . .
  

   

  

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