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The Role of Lipids in the Classification of Astrocytoma and Glioblastoma Using Mass Spectrometry Tumor Profiling

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Abstract

Express MS identification of biological tissues has become a much more accessible research method due to the application of direct specimen ionization at atmospheric pressure. In contrast to traditional methods of analysis employing GC-MS methods for determining the molecular composition of the analyzed objects it eliminates the influence of mutual ion suppression. Despite significant progress in the field of direct MS of biological tissues, the question of mass spectrometric profile attribution to a certain type of tissue still remains open. The use of modern machine learning methods and protocols (e.g., “random forests”) enables us to trace possible relationships between the components of the sample MS profile and the result of brain tumor tissue classification (astrocytoma or glioblastoma). In this study it has been shown that the most pronounced differences in the mass spectrometric profiles of these tumors are due to their lipid composition. Detection of statistically significant differences in lipid profiles of astrocytoma and glioblastoma may be used to perform an express analysis during surgery and inform the neurosurgeon what type of malignant tissue he is working with. The ability of accurate determination of the tumor boundaries significantly improves the quality of surgical intervention and postoperative rehabilitation, as well as the duration and quality of life of patients.

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ACKNOWLEDGMENTS

The authors are grateful to the staff of the Pathological Department of the Burdenko National Medical Research Center of Neurosurgery for help with this research.

Funding

This work was supported by the Russian Science Foundation (project no. 16-15-10431).

Author information

Authors and Affiliations

  1. Moscow Institute of Physics and Technology (National Research University), Institutsky per. 9, 141701, Dolgoprudny, Moscow region, Russia

    V. A. Eliferov, E. S. Zhvansky, A. A. Sorokin, D. S. Bormotov, S. I. Pekov, E. E. Kulikov & I. A. Popov

  2. Burdenko National Medical Research Center of Neurosurgery, ul. 4ya Tverskaya-Yamskaya 16, 125047, Moscow, Russia

    V. A. Shurkhay, P. V. Nikitin, M. V. Ryzhova & A. A. Potapov

  3. Skolkovo Institute of Science and Technology, Territory of “Skolkovo” Innovation Center, Bolshoy blvd. 30, bldg. 1, 121205, Moscow, Russia

    E. N. Nikolaev

  4. Federal Research Center “Fundamentals of Biotechnology” RAS, Leninsky pr. 33, 119071, Moscow, Russia

    E. E. Kulikov

Authors
  1. V. A. Eliferov
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  2. E. S. Zhvansky
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  6. S. I. Pekov
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  7. P. V. Nikitin
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  8. M. V. Ryzhova
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  9. E. E. Kulikov
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  10. A. A. Potapov
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  11. E. N. Nikolaev
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  12. I. A. Popov
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Corresponding author

Correspondence to I. A. Popov.

Ethics declarations

COMPLIANCE WITH ETHICAL STANDARDS

The study was conducted in accordance with the recommendations of the Ethical Committee of the Burdenko National Medical Research Center of Neurosurgery (Order 40 of April 12, 2016 as amended by Order 131 of July 17, 2018). Prior to surgery, all patients gave informed consent for the use the excised tissue in scientific research in accordance with the legislation and the requirements of the Ethics Committee. The study was conducted in accordance with the Declaration of Helsinki, revised in 2013. All protocols and procedures were carried out in accordance with the relevant guidelines and rules approved by the Supervisory Board of the Burdenko National Medical Research Center of Neurosurgery.

CONFLICT OF INTERESTS

The authors declare that they have no conflicts of interest.

SUPPLEMENTARY INFORMATION

Supplementary materials are available in the electronic version of the article on the journal website (pbmc.ibmc.msk.ru)

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Translated by A. Medvedev

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Eliferov, V.A., Zhvansky, E.S., Sorokin, A.A. et al. The Role of Lipids in the Classification of Astrocytoma and Glioblastoma Using Mass Spectrometry Tumor Profiling. Biochem. Moscow Suppl. Ser. B 15, 153–160 (2021). https://doi.org/10.1134/S1990750821020025

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  • DOI: https://doi.org/10.1134/S1990750821020025

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