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Related Experiment Video

Updated: Feb 7, 2026

Monitoring of Nanodrug Accumulation in Murine Breast Cancer Metastases
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Published on: August 23, 2024

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Breast Cancer Brain Metastases: Current Understanding and Future Directions.

Mohammad Alabdulrahman1, Gordon R Daly2,3, Sindhuja Naidoo2

  • 1The Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland. mohammadalabdurahman@rcsi.com.

Current Oncology Reports
|February 5, 2026
PubMed
Summary
This summary is machine-generated.

Recent advances reveal key molecular pathways and tumor-microenvironment interactions driving breast cancer brain metastases (BCBM). New diagnostic tools and targeted therapies are emerging for precision management of BCBM.

Keywords:
Astrocyte-tumour interactionsBreast cancer brain metastasesC-MYCCancer neuroscienceHER3Homologous recombination deficiencyJAK/STAT3Liquid biopsiesMachine learningPI3K/AKT/mTORRETRadiomicsReceptor discordanceSpatial transcriptomics

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Area of Science:

  • Oncology
  • Neuroscience
  • Genetics

Background:

  • Breast cancer brain metastases (BCBM) represent a significant clinical challenge.
  • Understanding the complex interplay between tumor cells and the brain microenvironment is crucial.

Purpose of the Study:

  • To review recent advancements in BCBM research.
  • To focus on metastatic mechanisms, tumor-microenvironment interactions, receptor discordance, diagnostics, and therapeutics.
  • To guide precision management and identify future research priorities.

Main Methods:

  • Literature review of recent studies on BCBM.
  • Analysis of molecular signaling pathways involved in BCBM progression.
  • Evaluation of novel diagnostic and therapeutic strategies.

Main Results:

  • Key pathways like JAK-STAT and PI3K/AKT/mTOR are implicated in BCBM.
  • Tumor cells exhibit adaptation through neuronal mimicry and metabolic reprogramming.
  • Receptor discordance between primary tumors and metastases occurs in up to 33% of cases.
  • Liquid biopsy, spatial transcriptomics, and radiomics offer new diagnostic avenues.
  • Machine learning aids prognostication and imaging interpretation.

Conclusions:

  • BCBM involves intricate tumor-brain interactions.
  • Molecular insights and diagnostics are paving the way for targeted therapies.
  • Future research should integrate cancer neuroscience, computational modeling, and prospective trials for receptor reassessment.