METTL14 promotes neuroblastoma formation by inhibiting YWHAH via an m6A-YTHDF1-dependent mechanism.
Jian Wei WangHongli YinGen LiDi WuYunyun XuYanling ChenXiaodong WangYujiao XingTing ZhangDanhong FeiPengcheng YangFang FangYanfang TaoXiaolu LiJuanjuan YuYang YangZhiheng LiLei ShiZi-Mu ZhangJian PanPublished in: Cell death discovery (2024)
Neuroblastoma (NB) is a common childhood tumor with a high incidence worldwide. The regulatory role of RNA N6-methyladenosine (m6A) in gene expression has attracted significant attention, and the impact of methyltransferase-like 14 (METTL14) on tumor progression has been extensively studied in various types of cancer. However, the specific influence of METTL14 on NB remains unexplored. Using data from the Target database, our study revealed significant upregulation of METTL14 expression in high-risk NB patients, with strong correlation with poor prognosis. Furthermore, we identified ETS1 and YY1 as upstream regulators that control the expression of METTL14. In vitro experiments involving the knockdown of METTL14 in NB cells demonstrated significant inhibition of cell proliferation, migration, and invasion. In addition, suppressing METTL14 inhibited NB tumorigenesis in nude mouse models. Through MeRIP-seq and RNA-seq analyses, we further discovered that YWHAH is a downstream target gene of METTL14. Mechanistically, we observed that methylated YWHAH transcripts, particularly those in the 5' UTR, were specifically recognized by the m6A "reader" protein YTHDF1, leading to the degradation of YWHAH mRNA. Moreover, the downregulation of YWHAH expression activated the PI3K/AKT signaling pathway, promoting NB cell activity. Overall, our study provides valuable insights into the oncogenic effects of METTL14 in NB cells, highlighting its role in inhibiting YWHAH expression through an m6A-YTHDF1-dependent mechanism. These findings also suggest the potential utility of a biomarker panel for prognostic prediction in NB patients.
Keyphrases
- poor prognosis
- signaling pathway
- long non coding rna
- rna seq
- single cell
- induced apoptosis
- cell proliferation
- gene expression
- transcription factor
- pi k akt
- cell cycle arrest
- genome wide
- binding protein
- dna methylation
- end stage renal disease
- oxidative stress
- newly diagnosed
- risk factors
- deep learning
- small molecule
- cell death
- patient reported outcomes
- risk assessment
- artificial intelligence
- copy number
- peritoneal dialysis
- nucleic acid