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Updated: Jan 15, 2026

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
Published on: March 17, 2016
Integrating Molecular Phenotyping into Treatment Algorithms for Advanced Oestrogen Receptor-Positive Breast Cancer
Sarah Childs1,2, Ryoko Semba2,3, Lucy Haggstrom1,2,4
1The Kinghorn Cancer Centre, St Vincent's Hospital Darlinghurst, Darlinghurst, NSW 2010, Australia.
Abstract:
Breast cancer is the most common malignancy and leading cause of cancer-related mortality among women worldwide. Oestrogen receptor (ER)-positive disease accounts for the majority of cases, where endocrine and targeted therapies have substantially improved survival. Nevertheless, resistance to therapy remains inevitable, emphasising the need for precision strategies informed by molecular profiling. The molecular landscape of ER-positive breast cancer is increasingly complex, characterised by diverse genomic alterations driving resistance and progression. Advances in next-generation sequencing and circulating tumour DNA (ctDNA) technologies enable the dynamic assessment of tumour heterogeneity and clonal evolution, informing prognostication and guiding biomarker-driven therapy. Uniquely, this review integrates molecular phenotyping with clinical treatment algorithms for advanced ER-positive breast cancer, providing a practical framework to translate genomic insights into patient care. Key genomic alterations and targeted strategies with demonstrated clinical benefit, including oral selective ER degraders (SERDs) and PI3K/AKT/mTOR inhibitors in selected biomarker populations, are highlighted. Emerging targets, such as human epidermal growth factor 2 (HER2) mutations, and the potential of ctDNA monitoring to detect resistance and guide therapeutic escalation are also discussed. Incorporating molecular profiling, as recommended by international guidelines, into routine clinical decision making can personalise therapy and optimise patient outcomes. Addressing real-world challenges, including cost and accessibility, will be critical to achieving equitable implementation of precision oncology for patients with ER-positive breast cancer worldwide.
Insights
Precision medicine for ER-positive breast cancer uses molecular profiling to guide targeted therapies and overcome treatment resistance. Dynamic assessment with circulating tumor DNA (ctDNA) aids in personalizing treatment and improving patient outcomes.
Area of Science:
- Oncology
- Genomics
- Precision Medicine
Background:
- Breast cancer is a leading cause of cancer mortality globally, with ER-positive disease being the most common subtype.
- Endocrine and targeted therapies improve survival, but treatment resistance is a significant challenge.
- Molecular profiling is crucial for understanding resistance mechanisms and guiding personalized treatment strategies.
Purpose of the Study:
- To review the molecular landscape of ER-positive breast cancer and its implications for treatment resistance.
- To integrate molecular phenotyping with clinical treatment algorithms for advanced ER-positive breast cancer.
- To provide a practical framework for translating genomic insights into patient care.
Main Methods:
- Review of current literature on genomic alterations in ER-positive breast cancer.
- Integration of molecular profiling data with clinical treatment guidelines.
- Discussion of next-generation sequencing and ctDNA technologies for dynamic tumor assessment.
Main Results:
- Key genomic alterations driving resistance and targeted therapies like oral selective ER degraders (SERDs) and PI3K/AKT/mTOR inhibitors are identified.
- Emerging targets such as HER2 mutations and the role of ctDNA monitoring in detecting resistance are discussed.
- Molecular profiling is recommended for routine clinical decision-making to personalize therapy.
Conclusions:
- Personalized therapy for ER-positive breast cancer requires integrating molecular profiling into clinical practice.
- Advances in sequencing and ctDNA analysis enable dynamic assessment of tumor heterogeneity and clonal evolution.
- Addressing challenges like cost and accessibility is vital for equitable implementation of precision oncology.
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