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Methyltransferase-like 3 (METTL3) regulates exocytosis

ABSTRACT: RNA modification pathways are often mis-regulated in various typers of cancer, with N6-methyladenosine (m6A) playing a pivotal role in cancer progression and metastasis. Methyltransferase-like 3 (METTL3), a core component of the m6A methyltransferase complex, functions not only as an m6A writer but also promotes tumorigenesis through m6A-independent mechanisms. Here, we show that METTL3 is mislocalized to the cytoplasm in breast cancer tumors from patients, contributing to the oncogenic phenotype. Cytoplasmic METTL3 interacts with EXOC7, a key exocytosis regulator. Additionally, METTL3 regulates m6A-dependent alternative splicing (AS) of EXOC7, promoting the expression of a more aggressive isoform. Silencing METTL3 impairs vesicle trafficking and alters the breast cancer secretome. These effects arenot dependent on its enzymatic activity but instead associated with METTL3-mediated stabilization of EXOC7. Furthermore, knockdown of METTL3 , but not inhibition of its catalytic function, impairs invadopodia formation, collagen matrix invasion, and the generation of focal adhesions , all of which are critical for extracellular matrix degradation and cell invasion. Our findings uncover non-catalytic roles of METTL3 in regulating exocytosis and the cancer secretome, with broader implications for other cancer types.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell

DISEASE(S): Breast Cancer

SUBMITTER: Andreas Pich

LAB HEAD: Andreas Pich

PROVIDER: PXD066045 | Pride | 2026-05-04

REPOSITORIES: Pride

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			Action	DRS
	FA19-19_Gel1_Probe-1A.raw	Raw
	FA19-19_Gel1_Probe-1B.raw	Raw
	FA19-19_Gel1_Probe-2A.raw	Raw
	FA19-19_Gel1_Probe-2B.raw	Raw
	FA19-19_Gel1_Probe-3A.raw	Raw

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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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Methyltransferase-like 3 (METTL3) regulates exocytosis

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