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Updated: Jul 14, 2026

Ex Vivo Treatment Response of Primary Tumors and/or Associated Metastases for Preclinical and Clinical Development of Therapeutics
Published on: October 2, 2014
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
Background:
Aromatase inhibitors such as anastrozole and letrozole are highly effective suppressants of estrogen synthesis in postmenopausal women and are the most effective endocrine treatments for hormone receptor positive breast cancer in such women. Little is known of the molecular effects of these agents on human breast carcinomas in vivo.
Methods:
We randomly assigned primary estrogen receptor positive breast cancer patients to treatment with anastrozole or letrozole for 2 weeks before surgery. Expression profiling using cDNA arrays was conducted on pretreatment and post-treatment biopsies. Sample pairs from 34 patients provided sufficient RNA for analysis.
Results:
Profound changes in gene expression were seen with both aromatase inhibitors, including many classical estrogen-dependent genes such as TFF1, CCND1, PDZK1 and AGR2, but also many other genes that are likely to represent secondary responses; decrease in the expression of proliferation-related genes were particularly prominent. Many upregulated genes are involved in extracellular matrix remodelling, including collagens and members of the small leucine-rich proteoglycan family (LUM, DCN, and ASPN). No significant differences were seen between letrozole and anastrozole in terms of molecular effects. The gene changes were integrated into a Global Index of Dependence on Estrogen (GIDE), which enumerates the genes changing by at least twofold with therapy. The GIDE varied markedly between tumours and related significantly to pretreatment levels of HER2 and changes in immunohistochemically detected Ki67.
Conclusion:
Our findings identify the transcriptional signatures associated with aromatase inhibitor treatment of primary breast tumours. Larger datasets using this approach should enable identification of estrogen-dependent molecular changes, which are the determinants of benefit or resistance to endocrine therapy.
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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