MUC1-C intersects chronic inflammation with epigenetic reprogramming by regulating the set1a compass complex in cancer progression.
Atrayee BhattacharyaAtsushi FushimiKeyi WangNami YamashitaYoshihiro MorimotoSatoshi IshikawaTatsuaki DaimonTao LiuSong LiuMark D LongDonald W KufePublished in: Communications biology (2023)
Chronic inflammation promotes epigenetic reprogramming in cancer progression by pathways that remain unclear. The oncogenic MUC1-C protein is activated by the inflammatory NF-κB pathway in cancer cells. There is no known involvement of MUC1-C in regulation of the COMPASS family of H3K4 methyltransferases. We find that MUC1-C regulates (i) bulk H3K4 methylation levels, and (ii) the COMPASS SET1A/SETD1A and WDR5 genes by an NF-κB-mediated mechanism. The importance of MUC1-C in regulating the SET1A COMPASS complex is supported by the demonstration that MUC1-C and WDR5 drive expression of FOS, ATF3 and other AP-1 family members. In a feedforward loop, MUC1-C, WDR5 and AP-1 contribute to activation of genes encoding TRAF1, RELB and other effectors in the chronic NF-κB inflammatory response. We also show that MUC1-C, NF-κB, WDR5 and AP-1 are necessary for expression of the (i) KLF4 master regulator of the pluripotency network and (ii) NOTCH1 effector of stemness. In this way, MUC1-C/NF-κB complexes recruit SET1A/WDR5 and AP-1 to enhancer-like signatures in the KLF4 and NOTCH1 genes with increases in H3K4me3 levels, chromatin accessibility and transcription. These findings indicate that MUC1-C regulates the SET1A COMPASS complex and the induction of genes that integrate NF-κB-mediated chronic inflammation with cancer progression.
Keyphrases
- transcription factor
- oxidative stress
- lps induced
- signaling pathway
- genome wide
- inflammatory response
- genome wide identification
- dna methylation
- papillary thyroid
- pi k akt
- nuclear factor
- gene expression
- poor prognosis
- stem cells
- binding protein
- cell proliferation
- immune response
- dna damage
- genome wide analysis
- drug induced
- childhood cancer
- amino acid
- network analysis