Hormonal therapy for postmenopausal breast cancer: the science of sequencing

William R Miller1, John M S Bartlett, Peter Canney

  • 1Breast Unit, Western General Hospital, Paderewski Building, Edinburgh , EH4 2XU, UK. wmiller@staffmail.ed.ac.uk

Insights

Endocrine therapies like tamoxifen and aromatase inhibitors (AIs) are crucial for ER-positive breast cancer. Sequential or combined use shows promise, but more research is needed for optimal treatment algorithms.

Area of Science:

  • Endocrinology
  • Oncology
  • Pharmacology

Background:

  • Oestrogens significantly influence breast cancer development and progression.
  • Several endocrine therapies targeting oestrogen receptors (ER) exist, including tamoxifen, SERMs, AIs, and SERDs.
  • These therapies are effective in various stages of ER-positive breast cancer in postmenopausal women.

Purpose of the Study:

  • To explore the potential benefits of combining or sequencing different endocrine therapies for breast cancer.
  • To evaluate the efficacy and safety of various endocrine therapy strategies.
  • To identify the need for evidence-based algorithms for sequential endocrine therapy use.

Main Methods:

  • Review of preclinical models and randomized clinical trials.
  • Analysis of efficacy, safety, mechanisms of action, resistance, and tumor biology effects.
  • Consideration of neoadjuvant, adjuvant, and advanced disease settings.

Main Results:

  • Concomitant endocrine therapies did not demonstrate superior efficacy compared to aromatase inhibitors (AIs) alone.
  • Using AIs as initial therapy or sequentially after tamoxifen showed greater benefits than tamoxifen alone.
  • Current evidence lacks established algorithms for the planned sequential use of diverse endocrine therapies.

Conclusions:

  • Sequential or combination endocrine therapy strategies warrant further investigation for optimizing breast cancer treatment.
  • Prospective randomized clinical trials are essential to establish best practices for sequential endocrine therapy use.
  • Tailoring treatment based on tumor molecular phenotypes is crucial for future therapeutic strategies.

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