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Integrative Bioinformatic Analysis Identifies Key Genes Driving Breast Cancer Brain Metastasis.

Wei-Yi Ting1, Yueh-Hsun Lu1,2, Che-Ming Lin1,2

  • 1Department of Radiology, Shuang-Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan.

Diagnostics (Basel, Switzerland)
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Summary
This summary is machine-generated.

This study identifies key genes and pathways driving brain metastasis in breast cancer (BCBM). These findings highlight cell cycle dysregulation and metabolic changes, offering potential biomarkers for risk assessment and new therapeutic targets.

Keywords:
bioinformaticsbiomarkerbrain metastasisbreast cancercell cyclemetabolism

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Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Brain metastasis (BM) is a critical challenge in advanced breast cancer.
  • Molecular mechanisms of breast cancer brain metastasis (BCBM) are not fully understood.

Purpose of the Study:

  • Identify key molecular pathways and hub genes in BCBM.
  • Characterize the unique molecular profile of BCBM.

Main Methods:

  • Utilized Gene Set Enrichment Analysis (GSEA), differential gene expression, and weighted gene co-expression network analysis (WGCNA) on GEO datasets.
  • Constructed protein-protein interaction (PPI) networks.
  • Performed survival analyses using Kaplan-Meier Plotter.

Main Results:

  • Identified significant upregulation of metabolic pathways (e.g., mTORC1 signaling, glycolysis) and downregulation of immune pathways in BCBM.
  • Validated 12 hub genes, with 8 showing brain-specific overexpression (RRM2, CDCA8, CCNB1, LMNB2, FANCI, NCAPH, YWHAZ, ESPL1).
  • Highlighted cell cycle dysregulation as a critical mechanism; all hub genes associated with poor prognosis.

Conclusions:

  • BCBM is characterized by cell cycle dysregulation, metabolic reprogramming, and altered immune microenvironment.
  • Brain-specific hub genes are potential biomarkers for BCBM risk.
  • Identified targets for precision medicine in breast cancer treatment.