Molecular Targeted Therapy for Hormone Receptor-Positive, Human Epidermal Growth Factor 2-Negative Metastatic Breast

Satoko Nakano1, Yoshimi Imawari1, Akemi Mibu1

  • 1Department of Breast Surgery, Kawaguchi Municipal Medical Center.

Abstract

Insights

Molecular targeted therapies (MTTs) show similar progression-free survival (PFS) in hormone receptor-positive metastatic breast cancer, regardless of treatment line. Clinical trial data should guide treatment decisions for maximal patient benefit.

Area of Science:

  • Oncology
  • Pharmacology
  • Clinical Medicine

Background:

  • Molecular targeted therapies (MTTs) have transformed treatment for hormone receptor-positive (HR+), human epidermal growth factor 2-negative (HER2-) metastatic breast cancer (MBC).
  • Real-world data on MTTs in HR+/HER2- MBC are crucial for understanding clinical practice patterns and outcomes.

Purpose of the Study:

  • To describe treatment patterns, clinical outcomes, and safety profiles of patients with HR+/HER2- MBC treated with palbociclib, abemaciclib, or everolimus in clinical practice.
  • To compare real-world findings with existing clinical trial data.

Main Methods:

  • Retrospective analysis of 45 patients with HR+/HER2- MBC.
  • Categorization of patients based on MTT line of therapy (first/second line vs. third line or later).
  • Comparison of outcomes and safety profiles with historical clinical trial data.

Main Results:

  • Median overall progression-free survival (PFS) was 5.3 months.
  • PFS was comparable between patients receiving first/second line (5.5 months) and third line or later (5.1 months) MTTs.
  • Most frequent severe adverse events (AEs) included neutropenia with cyclin-dependent kinase (CDK) 4/6 inhibitors and Pneumocystis pneumonia, sepsis, and stomatitis with everolimus.

Conclusions:

  • MTTs are predominantly used in later lines of therapy for HR+/HER2- MBC.
  • PFS is similar across different lines of therapy, suggesting potential for earlier intervention.
  • Clinical trial results should guide treatment decisions to maximize patient benefit, considering the limitations of small, heavily pre-treated patient cohorts.