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Updated: Feb 12, 2026

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
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Enhancing therapeutic outcomes with artificial intelligence for HR-positive, HER2-negative metastatic breast cancer

Juan Luis Gomez Marti1, Elena Michaels2, Azadeh Nasrazadani3

  • 1Northwell Health, New Hyde Park, NY, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Cancer Cell
|February 10, 2026
PubMed

Insights

Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) are crucial for metastatic breast cancer but resistance occurs. A phase 2 trial used AI digital pathology to guide therapy after CDK4/6i treatment failure.

Area of Science:

  • Oncology
  • Translational Research
  • Artificial Intelligence in Medicine

Background:

  • Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) represent a cornerstone of first-line therapy for hormone receptor-positive (HR+) metastatic breast cancer.
  • Acquired resistance to CDK4/6i is an inevitable challenge, necessitating novel therapeutic strategies post-progression.

Purpose of the Study:

  • To evaluate the efficacy of an artificial intelligence (AI) digital pathology classification system in guiding treatment selection following CDK4/6i progression in HR+ metastatic breast cancer.
  • To assess the clinical utility of AI-driven therapeutic guidance in a randomized trial setting.

Main Methods:

  • The LINUX trial was a randomized phase 2 study.
  • An AI digital pathology classification system was employed to analyze tumor characteristics after CDK4/6i failure.
  • Therapeutic strategies were guided by the AI classification system in the experimental arm.

Main Results:

  • The study reported on the outcomes of patients treated based on AI-guided therapy post-CDK4/6i progression.
  • Specific efficacy data and treatment response rates associated with the AI-guided approach were presented.

Conclusions:

  • Artificial intelligence digital pathology shows promise as a tool to personalize treatment strategies in metastatic breast cancer after CDK4/6i resistance.
  • The LINUX trial provides evidence for the potential of AI to optimize therapeutic decisions in this patient population.

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