bioRxivCancer BiologyPreprint
ERα-regulated IRX3 controls the growth of ER-positive breast tumors
Pouda PanahandehiD, Jan-Inge BjuneiD, Regine Åsen JersiniD, Mihaela Popa, Shuntaro YamadaiD, Kamal MustafaiD, Emmet McCormackiD, Karianne FjeldiD, Elisabeth WikiD, Simon EN DankeliD, Gunnar MellgreniD
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Abstract
Estrogen receptor positive (ER+) breast cancer is primarily treated with endocrine therapies targeting ER signaling. Although endocrine therapy has substantially improved survival in ER+ breast cancer, metastatic disease remains largely incurable, underscoring the need to elucidate additional mechanisms driving growth and proliferation. Here, we show that the homeobox protein IRX3 is selectively overexpressed in ER+ breast cancer and define the molecular function of IRX3 in ER+ breast cancer using an integrated combination of in vitro, in vivo and in silico approaches. We uncover a previously uncharacterized distal regulatory region that controls IRX3 transcription via ER and associated steroid receptor coactivators. Consistent with this regulatory axis, anti-estrogen treatment resulted in marked downregulation of cellular IRX3 levels. Functionally, depletion of IRX3 suppresses proliferation of the human ER+ breast cancer cells in vitro, but paradoxically promotes tumor growth and metastatic dissemination in orthotopic xenografts in vivo by stimulating enhanced tumor vascularization. Finally, low tumor expression of IRX3 correlates with poorer survival outcomes in patients with ER+ breast cancer. Collectively, these findings establish IRX3 as an important regulator of ER+ breast tumor biology and reveal an ER-dependent role for IRX3 in modulating proliferative and vascular programs in tumor progression. SignificanceBy identifying a novel ER-dependent regulatory pathway, this work refines our understanding of how hormone signaling shapes both breast tumor growth and the surrounding microenvironment.
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
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