CCN6 suppresses metaplastic breast carcinoma by antagonizing WNT/β-catenin signaling to inhibit EZH2-driven EMT.
Maria E GonzalezBryce BrophyAhmad EidoAdele Elisabetta LeonettiSabra I DjomehriGiuseppina AugimeriNicholas J CarruthersRaymond G CavalcanteFrancesca GiordanoSebastiano AndòAlexey I NesvizhskiiEric R FearonCelina G KleerPublished in: Cancer research (2024)
Metaplastic breast carcinomas (mBrCAs) are a highly aggressive subtype of triple negative breast cancer (TNBC) with histological evidence of epithelial to mesenchymal transition (EMT) and aberrant differentiation. Inactivation of the tumor suppressor gene CCN6 (also known as WISP3) is a feature of mBrCAs, and mice with conditional inactivation of Ccn6 in mammary epithelium (Ccn6-KO) develop spindle mBrCAs with EMT. Elucidation of the precise mechanistic details of how CCN6 acts as a tumor suppressor in mBrCA could help identify improved treatment strategies. Here, we showed that CCN6 interacts with the Wnt receptor FZD8 and co-receptor LRP6 on mBrCA cells to antagonize Wnt-induced activation of β-catenin/TCF-mediated transcription. The histone methyltransferase EZH2 was identified as a β-catenin/TCF transcriptional target in Ccn6-KO mBrCA cells. Inhibiting Wnt/β-catenin/TCF signaling in Ccn6-KO mBrCa cells led to reduced EZH2 expression, decreased histone H3 lysine 27 trimethylation, and deregulation of specific target genes. Pharmacological inhibition of EZH2 reduced growth and metastasis of Ccn6-KO mBrCA mammary tumors in vivo. Low CCN6 is significantly associated with activated β-catenin and high EZH2 in human spindle mBrCAs compared to other subtypes. Collectively, these findings establish CCN6 as a key negative regulator of a β-catenin/TCF-EZH2 axis and highlight inhibition of β-catenin or EZH2 as a potential therapeutic approach for patients with spindle mBrCAs.
Keyphrases
- epithelial mesenchymal transition
- cell proliferation
- induced apoptosis
- long non coding rna
- long noncoding rna
- stem cells
- signaling pathway
- cell cycle arrest
- transcription factor
- endothelial cells
- type diabetes
- gene expression
- machine learning
- metabolic syndrome
- oxidative stress
- copy number
- binding protein
- endoplasmic reticulum stress
- amino acid
- heat shock