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    The metabolic rearrangements of hepatic metabolism associated with liver cancer are still incompletely understood. There is an ongoing need to identify novel and more efficient diagnostic biomarkers and therapeutic targets based on the metabolic mechanisms of these diseases. In comparison to traditional diagnostic biomarkers, metabolomics is a comprehensive technique for discovering chemical signatures for liver cancer screening, prediction, and earlier diagnosis. Lipids are a large and diverse group of complex biomolecules that are at the heart of liver physiology and play an important role in the development and progression of cancer. In this chapter, we described two detailed protocols for targeted lipids analysis: glycerophospholipids and mono, di, tri-acylglycerides, both by Flow Injection Analysis (FIA) HPLC coupled to a SelexIon/QTRAP 6500+ system. These approaches provide a targeted lipidomic metabolomic signature of dissimilar metabolic disorders affecting liver cancers. © 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

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    Hui Chen, Sylvère Durand, Mélanie Bourgin, Flavia Lambertucci, Omar Motiño, Léa Montégut, Sijing Li, Uxía Nogueira-Recalde, Gerasimos Anagnostopoulos, Maria Chiara Maiuri, Guido Kroemer, Isabelle Martins. Targeted Analysis of Glycerophospholipids and Mono-, Di-, or Tri-Acylglycerides in Liver Cancer. Methods in molecular biology (Clifton, N.J.). 2024;2769:189-198

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    PMID: 38315398

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