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. 2021 Jun 11;11(4):20200072. doi: 10.1098/rsfs.2020.0072

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© 2021 The Authors.

Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

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Figure 6. — Proposed biomarker panel to determine the GBM molecular subtype. Summarized gene expression analysis showed that the altered expression pattern for the 18 driver genes supports the GBM glioma progression model, which proposes that proneural subtypes can be generated from neural progenitors, and these cells may gain somatic mutations to become classical and consecutively mesenchymal subtypes. Combination of the gene biomarkers EGFR, H3F3A, FLT1, MGMT, Mki67, NES, S100A, TP53, OLIG2 and VIM could help to determine the GBM molecular subtype for patient prognosis. EGFR, NES, OLIG2 and VIM (highlighted in dark blue) show a strong differential expression pattern.