Epigenetic activation of the prostaglandin receptor EP4 promotes resistance to endocrine therapy for breast cancer
Approximately 75% of breast cancers express estrogen receptor α (ERα) and depend on estrogen signals for continued growth. Aromatase inhibitors (AIs) prevent estrogen production and inhibit ER signaling, resulting in decreased cancer recurrence and mortality. Advanced tumors treated with AIs almost...
Gespeichert in:
Veröffentlicht in: | Oncogene 2017-04, Vol.36 (16), p.2319-2327 |
---|---|
Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Approximately 75% of breast cancers express estrogen receptor α (ERα) and depend on estrogen signals for continued growth. Aromatase inhibitors (AIs) prevent estrogen production and inhibit ER signaling, resulting in decreased cancer recurrence and mortality. Advanced tumors treated with AIs almost always develop resistance to these drugs via the upregulation of alternative growth signals. The mechanisms that drive this resistance—especially epigenetic events that alter gene expression—are, however, not well understood. Genome-wide DNA methylation and expression analysis of cell line models of acquired AI resistance indicated that prostaglandin E
2
receptor 4 (
PTGER4
) is upregulated after demethylation in resistant cells. Knockdown and inhibitor studies demonstrate that
PTGER4
is essential for estrogen-independent growth. Our exploratory analysis of downstream signaling indicates that
PTGER4
likely promotes AI resistance via ligand-independent activation of the ERα-cofactor CARM1. We believe that we have discovered a novel epigenetic mechanism for altering cell signaling and acquiring endocrine therapy resistance. Our findings indicate that
PTGER4
is a potential drug target in AI-resistant cancers. In addition, the epigenetic component of
PTGER4
regulation suggests that further study of
PTGER4
may yield valuable insights into how DNA methylation-targeted diagnoses and treatments can improve AI-resistant breast cancer treatment. |
---|---|
ISSN: | 0950-9232 1476-5594 |
DOI: | 10.1038/onc.2016.397 |