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Integrating proteomics and metabolomics to reveal MAT2A for metabolic reprogramming and relative combination strategies in non-small cell lung cancer

GSE307556 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 4 samples Submitted 2026/08/07 Platform GPL24676
Summary
MAT2A, a key enzyme in the methionine cycle, generates S-adenosylmethionine (SAM), a critical metabolite involved in multiple metabolic pathways and epigenetic regulation. Although MAT2A is frequently overexpressed in tumors, its role in metabolic reprogramming within non-small cell lung cancer (NSCLC) remains poorly understood. Current MAT2A inhibitors, such as AG270, exhibit limited efficacy and are primarily used in MTAP-deleted tumors, highlighting the need to explore additional therapeutic strategies. Here, we employed proteomics and untargeted metabolomics in NSCLC cell lines, complemented by targeted metabolomics, RT-qPCR and ATAC-seq, to systematically characterize MAT2A-rewired metabolic reprogramming and identify potential combination treatment strategies. Totally, MAT2A knockdown or inhibition significantly disrupted fatty acid biosynthesis, cholesterol homeostasis, glycolysis and the transsulfuration pathways. In lipid metabolism, MAT2A inhibition impaired cell proliferation by suppressing fatty acid biosynthesis, and induced cholesterol biosynthesis and efflux impairment. Combining MAT2A inhibitors with the liver X receptor agonist LXR-623, which facilitated cholesterol efflux, effectively depleted intracellular cholesterol and augmented anti-tumor efficacy. In energy metabolism, MAT2A mainly inhibited glycolysis through HIF1A regulation and GLUT1 inhibitor BAY-876 demonstrated a synergetic effect when combined with AG270. In the transsulfuration pathway, MAT2A transcriptionally regulated a key enzyme CBS, and combination treatments using AG270 with either the SLC7A11 inhibitor HG106 or the PHGDH inhibitor NCT-503 exhibited enhanced anti-tumor activity. Overall, our findings identified MAT2A as a critical regulator of metabolic networks in NSCLC and propose several rational combination therapies to enhance MAT2A inhibitor efficacy.
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Direct links to NCBI, no account and no request form: the whole study as GSE307556_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1322288 and SRA study SRP618617. Searching any of these in the dataset finder brings you back here.

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