Program

Poster Presentations

Day 2, June 11（Thu.）　　Room P (5F 501+502)

2P-33

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Integrated Multi-Omics Analysis Reveals Lipid Metabolic Reprogramming by NF2 tumor suppressor gene

(¹Nagoya Univ., ²Aichi Cancer Center Research Institute)
^oKeiko Kano¹, Shinya Sato¹, Tatsuhiro Sato², Emi Mishiro-sato¹

Loss of the tumor suppressor NF2 is frequently observed in malignant mesothelioma; however, its impact on lipid metabolism remains incompletely understood. In this study, we applied an integrated multi-omics approach combining non-targeted lipidomics with proteomic and transcriptomic profiling to investigate lipid metabolic alterations associated with NF2 deficiency in mesothelial cells.
Proteins and lipids were simultaneously extracted from the same samples and analyzed using high-resolution LC–MS/MS platforms. Lipidomic and proteomic datasets were processed using MS-DIAL and DIA-NN, respectively. Integrated analysis revealed marked alterations in specific sphingolipid classes in NF2-deficient cells, accompanied by coordinated changes in related metabolic enzymes, suggesting systematic remodeling of lipid metabolic networks.
Comparative analyses using publicly available datasets suggested that these lipid alterations are associated with tumor progression and patient prognosis. Pharmacological inhibition experiments further revealed compensatory redistribution among lipid metabolic pathways, suggesting that cancer cells dynamically adapt to metabolic stress as a survival strategy.

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