Literature DB >> 31362676

Untangling the Metabolic Reprogramming in Brain Cancer: Discovering Key Molecular Players Using Mass Spectrometry.

Anatoly Sorokin1, Vsevolod Shurkhay2, Stanislav Pekov1,3, Evgeny Zhvansky1,3, Daniil Ivanov1,4, Eugene E Kulikov5,6, Igor Popov1,3, Alexander Potapov2, Eugene Nikolaev3,7.   

Abstract

Cells metabolism alteration is the new hallmark of cancer, as well as an important method for carcinogenesis investigation. It is well known that the malignant cells switch to aerobic glycolysis pathway occurring also in healthy proliferating cells. Recently, it was shown that in malignant cells de novo synthesis of the intracellular fatty acid replaces dietary fatty acids which change the lipid composition of cancer cells noticeably. These alterations in energy metabolism and structural lipid production explain the high proliferation rate of malignant tissues. However, metabolic reprogramming affects not only lipid metabolism but many of the metabolic pathways in the cell. 2-hydroxyglutarate was considered as cancer cell biomarker and its presence is associated with oxidative stress influencing the mitochondria functions. Among the variety of metabolite detection methods, mass spectrometry stands out as the most effective method for simultaneous identification and quantification of the metabolites. As the metabolic reprogramming is tightly connected with epigenetics and signaling modifications, the evaluation of metabolite alterations in cells is a promising approach to investigate the carcinogenesis which is necessary for improving current diagnostic capabilities and therapeutic capabilities. In this paper, we overview recent studies on metabolic alteration and oncometabolites, especially concerning brain cancer and mass spectrometry approaches which are now in use for the investigation of the metabolic pathway. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Brain cancer; Lipids; Mass spectrometry; Metabolic reprogramming; Metabolism; Oncometabolites.

Mesh:

Year:  2019        PMID: 31362676     DOI: 10.2174/1568026619666190729154543

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  2 in total

1.  Determination of Brain Tissue Samples Storage Conditions for Reproducible Intraoperative Lipid Profiling.

Authors:  Stanislav I Pekov; Evgeny S Zhvansky; Vasily A Eliferov; Anatoly A Sorokin; Daniil G Ivanov; Eugene N Nikolaev; Igor A Popov
Journal:  Molecules       Date:  2022-04-18       Impact factor: 4.927

2.  Inline cartridge extraction for rapid brain tumor tissue identification by molecular profiling.

Authors:  Stanislav I Pekov; Vasily A Eliferov; Anatoly A Sorokin; Vsevolod A Shurkhay; Evgeny S Zhvansky; Alexander S Vorobyev; Alexander A Potapov; Eugene N Nikolaev; Igor A Popov
Journal:  Sci Rep       Date:  2019-12-12       Impact factor: 4.379

  2 in total

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