Molecular response to aromatase inhibitor treatment in primary breast cancer

Alan Mackay1, Ander Urruticoechea, J Michael Dixon

  • 1The Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, Fulham Road, London, SW3 6JB, UK. alan.mackay@icr.ac.uk

Abstract

Insights

Aromatase inhibitors like anastrozole and letrozole significantly alter gene expression in breast tumors, impacting proliferation and extracellular matrix remodeling. These molecular changes, measured by the Global Index of Dependence on Estrogen (GIDE), vary between tumors and correlate with HER2 levels and Ki67.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Aromatase inhibitors (anastrozole, letrozole) are key endocrine therapies for postmenopausal women with hormone receptor-positive breast cancer.
  • Estrogen synthesis suppression is their primary mechanism, but their in vivo molecular effects on breast carcinomas are not well understood.

Purpose of the Study:

  • To investigate the molecular effects of anastrozole and letrozole on primary estrogen receptor-positive breast cancer.
  • To identify transcriptional signatures associated with aromatase inhibitor treatment.

Main Methods:

  • Randomized assignment of primary breast cancer patients to anastrozole or letrozole for 2 weeks pre-surgery.
  • Gene expression profiling using cDNA arrays on pre- and post-treatment biopsies from 34 patients.

Main Results:

  • Both aromatase inhibitors induced profound gene expression changes, including classical estrogen-dependent genes and genes involved in extracellular matrix remodeling.
  • A prominent decrease in proliferation-related gene expression was observed.
  • No significant molecular differences were found between anastrozole and letrozole.
  • The Global Index of Dependence on Estrogen (GIDE) showed significant variation between tumors, correlating with HER2 levels and Ki67 changes.

Conclusions:

  • Transcriptional signatures of aromatase inhibitor treatment in primary breast tumors were identified.
  • This approach can help identify estrogen-dependent molecular changes that determine response or resistance to endocrine therapy.

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