PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 1, 2025Cancers2 citationsOpen Access

Integrating Molecular Phenotyping into Treatment Algorithms for Advanced Oestrogen Receptor-Positive Breast Cancer

View Full Paper
SCStephanie ChildsRSRyoko SembaLHLucy Haggstrom

Key Points

  • Incorporating molecular phenotyping can improve therapy personalization in patients with oestrogen receptor-positive breast cancer.
  • Key genomic alterations guide therapeutics like selective ER degraders and PI3K/AKT/mTOR inhibitors for better outcomes.
  • Emerging targets, such as HER2 mutations, highlight the importance of ctDNA monitoring in detecting resistance.
  • Addressing barriers like cost and accessibility is essential for implementing precision oncology effectively.

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Childs et al. (2025) studied this question.

synapsesocial.com/papers/68dd9537fe798ba2fc49966ehttps://doi.org/10.3390/cancers17193174
Ask AI
Helpful
Bookmark
Share
View Full Paper