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E.E. Tyagunova

Sechenov First Moscow State Medical University

S.F. Drozd

Burdenko Neurosurgical Center

O.V. Kalennik

Burdenko Neurosurgical Center

N.S. Samoylenkova

Burdenko Neurosurgical Center

E.A. Savchenko

Burdenko Neurosurgical Center

G.V. Danilov

Burdenko Neurosurgical Center

G.V. Pavlova

Burdenko Neurosurgical Center;
Institute of Higher Nervous Activity and Neurophysiology;
Sechenov First Moscow State Medical University

Prognostic model for assessing the human glioma cell malignancy grade based on MDM2, MELK, SOX2, CDK4, DR5 and OCT4 gene expression

Authors:

E.E. Tyagunova, S.F. Drozd, O.V. Kalennik, N.S. Samoylenkova, E.A. Savchenko, G.V. Danilov, G.V. Pavlova

More about the authors

Journal: Burdenko's Journal of Neurosurgery. 2023;87(6): 43‑51

Views: 945

Downloaded: 9


To cite this article:

Tyagunova EE, Drozd SF, Kalennik OV, Samoylenkova NS, Savchenko EA, Danilov GV, Pavlova GV. Prognostic model for assessing the human glioma cell malignancy grade based on MDM2, MELK, SOX2, CDK4, DR5 and OCT4 gene expression. Burdenko's Journal of Neurosurgery. 2023;87(6):43‑51. (In Russ., In Engl.)
https://doi.org/10.17116/neiro20238706143

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