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Updated: Jul 9, 2026

Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer
Published on: May 18, 2020
Preclinical modeling of endocrine response and resistance: focus on aromatase inhibitors
Luciana F Macedo1, Gauri Sabnis1, Angela Brodie1
1Department of Pharmacology and Experimental Therapeutics, University of Maryland School of Medicine, and the Greenebaum Cancer Center, Baltimore, Maryland.
Abstract:
The authors developed a breast cancer intratumoral aromatase model system to compare the antitumor efficacy of several aromatase inhibitors (AIs) and antiestrogens (AEs). Although the AI letrozole caused sustained growth inhibition, tumors eventually began to grow, even when treatment was maintained. For the current study, the mechanisms of resistance to letrozole during the course of treatment were investigated. Estrogen receptor alpha (ER-alpha) levels decreased below control levels in letrozole-resistant tumors. The decrease was simultaneous to an increase in phosphorylation of ER-alpha and an unaltered expression of progesterone receptor (PgR). Expression levels of HER-2, activated (phosphorylated) SHC-adaptor protein (p-Shc), growth factor receptor-bound protein 2 (Grb-2), p-Raf, phosphorylated mitogen-activated protein kinase kinase 1/2 (p-Mekl/2), and phosphorylated mitogen-activated protein kinase (p-MAPK) were increased. When cells isolated from letrozole-resistant tumors (LTLTCa cells) were treated with inhibitors of the HER-2 signaling pathway, ER-alpha expression and estradiol-stimulated transactivation was restored. The HER-2 blocker trastuzumab also restored the sensitivity of LTLTCa cells to AIs and AEs. These findings suggested that there is crosstalk between ER and HER-2 signaling. To prevent activation of the HER-2 pathway and resistance to AIs, mice were treated with a combination of AIs and the ER down-regulator fulvestrant. There was no increase in HER-2 or p-MAPK expression, and tumor growth was inhibited significantly. When trastuzumab was added to unresponsive tumors under letrozole treatment, it significantly inhibited tumors growth compared with switching to trastuzumab alone. However, the trastuzumab plus letrozole combination was more effective than letrozole alone only in refractory breast tumors. These results suggested that blocking both ER and HER-2 signaling may delay the development of resistance to AIs in patients with recurrent breast cancer.
Insights
Resistance to aromatase inhibitors in breast cancer involves crosstalk between estrogen receptor (ER) and HER-2 signaling. Blocking both pathways may delay resistance to aromatase inhibitors in recurrent breast cancer.
Area of Science:
- Oncology
- Endocrinology
- Molecular Biology
Background:
- Aromatase inhibitors (AIs) are crucial in treating estrogen receptor-positive (ER+) breast cancer.
- Tumor resistance to AIs, like letrozole, can develop despite continuous treatment.
- Understanding resistance mechanisms is vital for improving breast cancer therapy.
Purpose of the Study:
- To investigate the mechanisms of letrozole resistance in breast cancer.
- To explore the potential of combined therapies targeting ER and HER-2 signaling pathways.
Main Methods:
- Developed an intratumoral aromatase model system in mice.
- Analyzed molecular changes in letrozole-resistant tumors, including ER-alpha, HER-2, and MAPK pathway components.
- Treated resistant cells and tumors with HER-2 inhibitors (trastuzumab) and ER down-regulators (fulvestrant).
Main Results:
- Letrozole-resistant tumors showed decreased ER-alpha and increased HER-2 and MAPK signaling.
- Inhibiting HER-2 signaling restored ER-alpha expression and sensitivity to AIs/antiestrogens.
- Combined treatment with AIs and fulvestrant prevented resistance and significantly inhibited tumor growth.
- Trastuzumab addition to letrozole-treated refractory tumors showed significant inhibition.
Conclusions:
- Crosstalk exists between ER and HER-2 signaling pathways in letrozole-resistant breast cancer.
- Combined blockade of ER and HER-2 signaling may overcome or delay AI resistance.
- This strategy holds promise for managing recurrent or refractory ER+ breast cancer.
