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G9a/EHMT2 is a Potential Prognostic Biomarker and Molecular Target in SHH Medulloblastoma

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Abstract

Changes in epigenetic programming are associated with cancer development during childhood. Components of the epigenetic machinery involved in normal embryonic development and hijacked by pediatric cancers include enzymes mediating post-translational modifications of DNA and histones that regulate chromatin structure, such as histone methyltransferases (HMTs). Overexpression of the HMT G9a (euchromatic histone lysine methyltransferase 2, EHMT2) has been described in several cancer types. Medulloblastoma (MB), the main type of malignant brain tumor afflicting children, is currently classified into four molecular subgroups. Here, we show that expression level of the G9a/Ehmt2 gene is higher in MB tumors belonging to the SHH, Group 3, and Group 4 subgroups, compared to Wnt tumors. Remarkably, high G9a expression was significantly associated with shorter overall survival in MB patients. We also present evidence that G9a inhibition dose-dependently reduces MB cell viability. Our findings suggest that higher transcription of G9a may be a predictor of poor prognosis in patients with SHH MB, and that inhibiting G9a activity can display antitumor effects in MB.

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Fig. 1

The Cavalli cohort (Cavalli et al., 2017) profiled on the Affymetrix Gene 1.1 ST array and normalized using the RMA method). Expression of the markers across all samples was normalized within the R2: Genomics Analysis and Visualization Platform (http://r2.amc.nl) and presented in box plot format as log2-transformed signal intensity. All subgroups and subtypes in each data set were compared using a Kruskal–Wallis test for significance and Tukey’s tests for post hoc analysis, using GraphPad Prism; p < 0.001 was considered to indicate statistically significant differences. B Overall survival (OS) was measured from the time of initial diagnosis to the date of death or the date of last follow up, using combined OS and gene expression data from all data sets selected. Survival distribution was estimated according to the Kaplan–Meier method using a median cut-off and log-rank statistics; p ≤ 0.05 was considered statistically significant

Fig. 2

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Acknowledgements

This research was supported by the National Council for Scientific and Technological Development (CNPq, MCTI, Brazil) Grants 407765/2017-4 and 305647/2019-9 (R.R.), Rio Grande do Sul State Research Foundation (FAPERGS, RS, Brazil) Grant 17/2551-0001 071-0 (R.R.), the Children’s Cancer Institute; the Coordination for the Improvement of Higher Education Personnel (CAPES, MEC, Brazil), the Clinical Hospital Institutional Research Fund (FIPE-HCPA), and Epigenica Biosciences. The data reported in this article have been partially included in a preprint (https://doi.org/10.20944/preprints202108.0335.v1). Authors thank Dr. Marialva Sinigaglia for assistance in preparing the figures.

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BKS and NHF carried out the gene expression analyses and experiments. All authors contributed to the experimental design, study conception, statistical analysis, data interpretation, writing, and revision of this article.

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Correspondence to Barbara Kunzler Souza or Rafael Roesler.

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B.K.S. is co-founder and CEO of Epigenica Biosciences Ltd. The authors declare that they have no other conflict of interest.

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Souza, B.K., Freire, N.H., Jaeger, M. et al. G9a/EHMT2 is a Potential Prognostic Biomarker and Molecular Target in SHH Medulloblastoma. Neuromol Med 24, 392–398 (2022). https://doi.org/10.1007/s12017-022-08702-5

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  • DOI: https://doi.org/10.1007/s12017-022-08702-5

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