METTL16-mediated m6A modification of MSMO1 modulates cholesterol metabolism and activates MAPK-p38/NF-κB signaling in colorectal cancer

下调和上调 信号转导 结直肠癌 甲基转移酶 重编程 癌症研究 生物 表观遗传学 细胞生物学 脂质代谢 胆固醇 DNA甲基化 氧甾醇 调解人 肿瘤进展 肝X受体 基因表达调控 细胞信号 转录组 MAPK/ERK通路 甲基化 N6-甲基腺苷 内科学 化学 鞘脂 乙二醇 代谢途径 癌症 内分泌学 新陈代谢
作者
Yongheng Zhao,Tingyue Gong,Hao Li,Haiping Lin,Minhao Yu,Yang Luo,Ming Zhong,Jun Qin
出处
期刊:Journal of Experimental & Clinical Cancer Research [BioMed Central]
卷期号:45 (1) 被引量:1
标识
DOI:10.1186/s13046-026-03690-x
摘要

BACKGROUND: N6-methyladenosine (m6A) is the most abundant post-transcriptional modification, and METTL16 has recently emerged as a pivotal m6A methyltransferase in cancer. Cholesterol metabolic reprogramming and aberrant MAPK signaling sustain the malignant initiation and progression of colorectal cancer (CRC). However, whether - and how - m6A regulation, particularly by METTL16, interfaces with cholesterol metabolism and downstream oncogenic signaling in CRC remains unknown. METHODS: Differential expression of METTL16 in CRC was identified through bioinformatic analyses and validated by qRT-PCR, immunoblotting, and immunohistochemistry (IHC). The functional role of METTL16 in CRC progression was examined using in vitro assays and xenograft models. To identify downstream targets, RNA-seq and MeRIP-seq were performed, revealing MSMO1 as a METTL16-regulated gene. The mechanistic basis of the METTL16–MSMO1 axis was investigated through immunoprecipitation-Mass Spectrometry (IP-MS), co-immunoprecipitation (Co-IP), RNA immunoprecipitation (RIP), MeRIP-qPCR, and RNA stability assays. Cholesterol metabolism analyses were conducted to further characterize the metabolic consequences of METTL16–MSMO1 regulation. RESULTS: METTL16 was significantly upregulated in CRC and correlated with poor clinical outcomes. Mechanistically, METTL16 enhanced m6A modification of MSMO1, stabilizing its transcript via IGF2BP2 and disrupting intracellular cholesterol homeostasis, which triggered ER stress and activated MAPK-p38/ NF-κB signaling by promoting TAK1/TAB complex formation and TAK1 autophosphorylation, thereby driving CRC progression. Additionally, elevated cholesterol levels further reshaped global m6A methylation patterns and altered methyltransferase expression, suggesting a reciprocal feedback loop between cholesterol metabolism and epigenetic regulation. CONCLUSIONS: These findings underscore the critical role of the METTL16–MSMO1 axis in driving cholesterol metabolic reprogramming that fuels MAPK-p38/NF-κB oncogenic signaling in CRC, highlighting promising biomarkers and therapeutic targets for improved disease management.
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