Endocrine Therapy Response and 21-Gene Expression Assay for Therapy Guidance in HR+/HER2- Early Breast Cancer

Ulrike A Nitz1,2, Oleg Gluz1,2,3, Sherko Kümmel1,4,5

  • 1West German Study Group, Moenchengladbach, Germany.

Abstract

Insights

This study shows that using the 21-gene recurrence score (RS) and endocrine therapy (ET) response can guide treatment for early breast cancer, successfully avoiding chemotherapy in many patients. This personalized approach improves outcomes and reduces treatment burden.

Area of Science:

  • Oncology
  • Genomics
  • Clinical Trials

Background:

  • Early breast cancer treatment decisions often involve balancing efficacy with treatment burden.
  • The 21-gene recurrence score (RS) and response to endocrine therapy (ET) are emerging biomarkers for guiding treatment.

Purpose of the Study:

  • To evaluate the feasibility and efficacy of combining the 21-gene recurrence score (RS) and response to preoperative endocrine therapy (ET) to guide systemic treatment in early HR+/HER2- breast cancer.
  • To determine if this combined approach can spare patients from chemotherapy.

Main Methods:

  • The WSG-ADAPT-HR+/HER2- trial (NCT01779206) enrolled 5,625 patients.
  • Patients were stratified based on RS and response to 3-week ET (assessed by Ki67 reduction).
  • Treatment arms included ET alone or dose-dense chemotherapy followed by ET, guided by RS and ET response.

Main Results:

  • Noninferiority of 5-year invasive disease-free survival (5y-iDFS) was established for the experimental arm (92.6%) versus the control arm (93.9%).
  • Chemotherapy was avoided in a significant proportion of patients, particularly those with a low RS or good ET response.
  • Endocrine therapy response varied by RS and menopausal status, being higher with aromatase inhibitors.

Conclusions:

  • Combining RS and ET response is a feasible strategy for guiding systemic therapy in early HR+/HER2- breast cancer.
  • This approach successfully spares chemotherapy in eligible pre- and postmenopausal patients with limited lymph node involvement.
  • Personalized treatment selection based on genomic and predictive biomarkers enhances treatment de-escalation.

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