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NIT2 epigenetically restrains oxidative phosphorylation to overcome fluorouracil resistance in gastric cancer

ABSTRACT: Fluorouracil (5-FU) chemoresistance is an important reason for the postoperative recurrence and poor prognosis of gastric cancer, but there is still no effective way to overcome chemoresistance. Here, by using the CRISPR/Cas9 system, we identify nitrilase family member 2 (NIT2) reverses chemoresistance, regardless of its metabolic function. NIT2 depletion causes H3K14 acetylation (H3K14ac) increase and NF-κB signalling activation, in turn upregulating oxidative phosphorylation (OXPHOS) and promoting chemoresistance. Mechanistically, NIT2 prevents BRD1 from binding histones and releases ING4 to degrade the transcription factor RELA. Upon 5-FU stimulation, the E3 ligase CCNB1IP1 interacts with NIT2 to cause autophagic degradation of NIT2. In addition, NIT2 downregulation correlates with poor prognosis in gastric cancer patients, and this is probably related to the promotion of OXPHOS. Our finding highlights the nonenzymatic function of NIT2 in chemoresistance and show that the blockade of OXPHOS by metformin can enhance chemosensitivity to 5-FU upon loss of NIT2.

ORGANISM(S): Homo sapiens

PROVIDER: GSE223789 | GEO | 2025/12/31

REPOSITORIES: GEO

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Project description:METTL3-mediated RNA N6-methyladenosine (m6A) is the most prevalent modification participates in tumor initiation and progression via regulating expression of their target genes in cancers. However, its role in tumor cell metabolism remains poorly appreciated. In this study, we conducted a multi-omics analysis including m6A microarray and quantitative proteomics to explore the potential effect and mechanism of METTL3 on the metabolism in gastric cancer cells. Our results found that significant alterations in the protein and m6A modification profile which induced by METTL3 overexpression in GC cells. Gene Ontology (GO) enrichment results showed that down-regulated proteins were significantly enriched in intracellular mitochondrial oxidative phosphorylation (OXPHOS), and the Protein-Protein Interaction (PPI) network analysis found that these differentially expressed proteins were significantly associated with OXPHOS. Subsequently, a prognostic model constructed based on the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, and the high-risk group showed a worse prognosis in GC patients. Meanwhile, the Gene Set Enrichment Analysis (GSEA) showed a significant enrichment in the energy metabolism signaling pathway. Then, combined with the results of the m6A microarray analysis, the intersection molecules of DEPs and differential methylation genes (DMGs) were significantly correlated with the genes involved in OXPHOS. Besides, there were also significant differences in prognosis and GSEA enrichment between the two clusters of GC patients classified according to consensus clustering algorithm. Finally, we focused on highly expressed, highly methylated molecules regulated by METTL3 and identified three (AVEN, DAZAP2, DNAJB1) genes that were significantly associated with poor prognosis in patients with GC. These results indicated that METTL3-regulated DEPs in GC cells were significantly associated with OXPHOS. After combined with m6A microarray analysis, the results suggested that these proteins might be involved in cell energy metabolism through m6A modifications thus influencing the prognosis of GC patients. Overall, our study revealed that METTL3 involved in cell metabolism through an m6A-dependent mechanism in GC cells, and indicated a potential biomarker for prognostic prediction in GC.

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NIT2 epigenetically restrains oxidative phosphorylation to overcome fluorouracil resistance in gastric cancer

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