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71. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC)
9. Joint Meeting mit der Japanischen Gesellschaft für Neurochirurgie

Deutsche Gesellschaft für Neurochirurgie (DGNC) e. V.

21.06. - 24.06.2020

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Evaluation of reference genes for real-time quantitative RT-PCR analysis in meningiomas with respect to treatment status and histopathological tumour grade

Evaluation von Referenzgenen für RT-PCR Analysen in Meningiomen in Abhängigkeit der Therapie und des Tumorgrades

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  • presenting/speaker Martin Kauke - Universitätsklinikum Köln, Klinik für Neurochirurgie, Köln, Deutschland
  • Boris Krischek - Universitätsklinikum Köln, Klinik für Neurochirurgie, Köln, Deutschland
  • Roland H. Goldbrunner - Universitätsklinikum Köln, Klinik für Neurochirurgie, Köln, Deutschland
  • Marco Timmer - Universitätsklinikum Köln, Klinik für Neurochirurgie, Köln, Deutschland

Deutsche Gesellschaft für Neurochirurgie. 71. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC), 9. Joint Meeting mit der Japanischen Gesellschaft für Neurochirurgie. sine loco [digital], 21.-24.06.2020. Düsseldorf: German Medical Science GMS Publishing House; 2020. DocP135

doi: 10.3205/20dgnc420, urn:nbn:de:0183-20dgnc4204

Published: June 26, 2020

© 2020 Kauke et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.

Outline

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Objective: Gene expression profiling of brain tumors has yielded valuable information about prognostic markers and bears great value for improving patient individualized clinical management. Real-time quantitative RT-PCR is a reliable method that allows parsing the transcriptome of neoplastic material. Normalization genes that are stable under the influence of e.g. tumor grade and treatment status are important to avoid misinterpretation of gathered transcriptomic data.

Methods: We tested a batch of six commonly used reference genes (ACTB, GAPDH, MRPL19, SDHA, EIF2B1, RPL37A) with respect to the expression stability and variation under the influence of tumor grade (WHO°I-III) and treatment status (naïve vs. recurrent) in 52 tissue samples. Seven groups were selectively investigated and subjected to comparative analysis: naïve WHO° I; recurrent WHO° I; naïve WHO°II; recurrent WHO °II; naïve WHO°III; recurrent WHO°III and control tissue.

Results: The expression of the reference genes was heterogeneous across all experimental groups with RPL37A and MRPL19 showing the highest and ACTB and EIF2B1 showing the lowest inter- and intra-group variability. Treatment naïve meningiomas showed a tendency for higher relative expression of the reference genes when compared to control and recurrent meningiomas. Across all experimental groups, a combination of GAPDH and EIF2B1 showed the highest stability value as determined by the NormFinder algorithm.

Conclusion: Tumor grade and treatment status seem to influence the expression of ACTB, GAPDH, MRPL19, SDHA, EIF2B1, and RPL37A. Reference genes should be carefully chosen with respect to tumor grade and treatment status in order to avoid misinterpretation of qPCR data in meningioma tissue samples.