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. 2023 Jun;165(6):1635-1644.
doi: 10.1007/s00701-023-05594-7. Epub 2023 Apr 21.

The intra-tumoral heterogeneity in glioblastoma - a limitation for prognostic value of epigenetic markers?

Sippl Christoph  1 , Saenz Alicia  2 , Teping Fritz  2 , Trenkpohl Vanessa  2 , Ketter Ralf  2 , Kim Yoo Jin  3 , Linsler Stefan  2 , Oertel Joachim  2
Affiliations

The intra-tumoral heterogeneity in glioblastoma - a limitation for prognostic value of epigenetic markers?

Sippl Christoph et al. Acta Neurochir (Wien). 2023 Jun.

Abstract

Objective: Epigenetic tumor features are getting into focus as prognostic markers in glioblastoma. Whether intra-tumoral heterogeneity in these epigenetic characteristics may influence prognostic value remains unclear.

Methods: Of 154 patients suffering from glioblastoma, 120 patients served as reference collective, while 34 patients were compiled as test collective. MGMT, p15, and p16 promoter methylation and miRNA expression levels (miRNA-21, miRNA-24, miRNA-26a, and miRNA-181d) were measured in each tumor specimen. Serving as a statistical baseline, epigenetic heterogeneity between tumors (inter-tumoral) was estimated within a triplet of three tumor specimens from three different reference patients. For estimation of epigenetic heterogeneity within a tumor (intra-tumoral), previous results were compared to three tumor specimens within one glioblastoma of patients of the test collective. Resulting levels of heterogeneity were then correlated with survival and validated by an external TCGA data set.

Results: Heterogeneity in MGMT promoter methylation occurred less likely in the test group compared to the reference group. No difference in heterogeneity was observed between test and reference group regarding p15 and p16 methylation. Intra-tumoral heterogeneity within the test group regarding miRNA-21, miRNA-24, miRNA-26a, and miRNA-181d expression was not distinguishable from inter-tumoral heterogeneity. A homogenously increased miRNA-21 expression was associated with reduced overall survival in the test collective. The findings could be validated by comparison with TCGA datasets.

Conclusion: Heterogeneity of epigenetic characteristics in one glioblastoma may be of the same magnitude as heterogeneity between different patients. Not only the extent of epigenetic characteristics but also the extent of intra-tumoral heterogeneity may influence survival in glioblastoma.

Keywords: Epigenetic; Glioblastoma; Heterogeneity; Methylation; microRNA.

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