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Updated: Jun 6, 2026

Studying TGF-β Signaling and TGF-β-induced Epithelial-to-mesenchymal Transition in Breast Cancer and Normal Cells
Published on: October 27, 2020
ETV6-NTRK3-mediated breast epithelial cell transformation is blocked by targeting the IGF1R signaling pathway
Cristina E Tognon1, Aruna M Somasiri, Valentina E Evdokimova
1Department of Molecular Oncology, BC Cancer Research Center, Vancouver, British Columbia, Canada.
Abstract:
The insulin-like growth factor (IGF) 1 receptor (IGF1R) is an important therapeutic target under study in many cancers. Here, we describe a breast cancer model based on expression of the ETV6-NTRK3 (EN) chimeric tyrosine kinase that suggests novel therapeutic applications of IGF1R inhibitors in secretory breast cancers. Originally discovered in congenital fibrosarcomas with t(12;15) translocations, EN was identified subsequently in secretory breast carcinoma (SBC) which represent a variant of invasive ductal carcinoma. Because fibroblast transformation by EN requires the IGF1R axis, we hypothesized a similar dependency may exist in mammary cells and, if so, that IGF1R inhibitors might be useful to block EN-driven breast oncogenesis. In this study, we analyzed EN expressing murine and human mammary epithelial cell lines for transformation properties. Various IGF1R signaling inhibitors, including the dual specificity IGF1R/insulin receptor (INSR) inhibitor BMS-536924, were then tested for effects on three-dimensional Matrigel cell growth, migration, and tumor formation. We found that EN expression increased acinar size and luminal filling in Matrigel cultures and promoted orthotopic tumor growth in mice. Tumors were well differentiated and nonmetastatic, similar to human SBC. The known EN effector pathway, PI3K-Akt, was activated in an IGF1- or insulin-dependent manner. BMS-536924 blocked EN transformation in vitro, whereas BMS-754807, another IGIFR/INSR kinase inhibitor currently in clinical trials, significantly reduced tumor growth in vivo. Importantly, EN model systems mimic the clinical phenotype observed in human SBC. Moreover, EN has a strict requirement for IGF1R or INSR in breast cell transformation. Thus, our findings strongly encourage the evaluation of IGF1R/INSR inhibitors to treat EN-driven breast cancers.
Insights
Insulin-like growth factor 1 receptor (IGF1R) inhibitors show promise for treating secretory breast cancers driven by the ETV6-NTRK3 (EN) fusion kinase. Targeting IGF1R blocks EN-driven oncogenesis and tumor growth in preclinical models.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Therapeutics
Background:
- The insulin-like growth factor 1 receptor (IGF1R) is a key therapeutic target in various cancers.
- The ETV6-NTRK3 (EN) chimeric tyrosine kinase, found in secretory breast carcinoma (SBC), drives oncogenesis.
- EN's requirement for the IGF1R axis in fibroblast transformation suggests a similar dependency in mammary cells.
Purpose of the Study:
- To investigate the therapeutic potential of IGF1R inhibitors in EN-driven breast cancers.
- To establish and analyze a breast cancer model based on EN expression.
- To determine if IGF1R inhibition can block EN-driven oncogenesis and tumor growth.
Main Methods:
- Analysis of EN-expressing murine and human mammary epithelial cell lines for transformation.
- Testing of IGF1R/insulin receptor (INSR) inhibitors (e.g., BMS-536924, BMS-754807) on cell growth, migration, and tumor formation.
- Evaluation of tumor growth and differentiation in orthotopic mouse models.
Main Results:
- EN expression promoted mammary cell transformation, acinar growth, and orthotopic tumor formation.
- EN-driven transformation and tumor growth were dependent on the IGF1R/INSR pathway.
- IGF1R/INSR inhibitors blocked EN-driven transformation in vitro and reduced tumor growth in vivo.
Conclusions:
- EN-driven breast cancers exhibit a strict requirement for IGF1R or INSR signaling.
- IGF1R/INSR inhibitors represent a promising therapeutic strategy for secretory breast cancers.
- Preclinical models of EN-driven breast cancer effectively mimic the human disease phenotype.
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