Regulation of the Key Epithelial Cancer Suppressor miR-124 Function by Competing Endogenous RNAs.
Eleonora A BragaMarina V FridmanAlexey M BurdennyyElena A FilippovaVitaly I LoginovIrina V ProninaAlexey A DmitrievNikolay E KushlinskiiPublished in: International journal of molecular sciences (2022)
A decrease in the miR-124 expression was observed in various epithelial cancers. Like a classical suppressor, miR-124 can inhibit the translation of multiple oncogenic proteins. Epigenetic mechanisms play a significant role in the regulation of miR-124 expression and involve hypermethylation of the MIR-124-1/-2/-3 genes and the effects of long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) according to the model of competing endogenous RNAs (ceRNAs). More than 40 interactomes (lncRNA/miR-124/mRNA) based on competition between lncRNAs and mRNAs for miR-124 binding have been identified in various epithelial cancers. LncRNAs MALAT1, NEAT1, HOXA11-AS, and XIST are the most represented in these axes. Fourteen axes (e.g., SND1-IT1/miR-124/COL4A1) are involved in EMT and/or metastasis. Moreover, eight axes (e.g., OIP5-AS1/miR-124-5p/IDH2) are involved in key pathways, such as Wnt/b-catenin, E2F1, TGF-β, SMAD, ERK/MAPK, HIF-1α, Notch, PI3K/Akt signaling, and cancer cell stemness. Additionally, 15 axes impaired patient survival and three axes reduced chemo- or radiosensitivity. To date, 14 cases of miR-124 regulation by circRNAs have been identified. Half of them involve circHIPK3, which belongs to the exonic ecircRNAs and stimulates cell proliferation, EMT, autophagy, angiogenesis, and multidrug resistance. Thus, miR-124 and its interacting partners may be considered promising targets for cancer therapy.
Keyphrases
- cell proliferation
- long non coding rna
- pi k akt
- poor prognosis
- long noncoding rna
- cell cycle
- epithelial mesenchymal transition
- stem cells
- oxidative stress
- cell cycle arrest
- dna methylation
- gene expression
- endothelial cells
- transforming growth factor
- cell death
- radiation therapy
- endoplasmic reticulum stress
- transcription factor
- genome wide
- network analysis
- combination therapy
- papillary thyroid