gms | German Medical Science

64th Annual Meeting of the German Society of Neurosurgery (DGNC)

German Society of Neurosurgery (DGNC)

26 - 29 May 2013, Düsseldorf

Allele-specific qPCR for the detection of IDH1 mutations in gliomas: IDH1 mut and wt are upregulated in human gliomas whereas systemic treatment and tumor relapse do not change IDH1 gene expression

Meeting Abstract

  • Moritz Perrech - Labor für Neuroonkologie und Experimentelle Neurochirurgie, Klinik für Allgemeine Neurochirurgie, Zentrum für Neurochirurgie, Klinikum der Universität zu Köln, Köln
  • Gabriele Röhn - Labor für Neuroonkologie und Experimentelle Neurochirurgie, Klinik für Allgemeine Neurochirurgie, Zentrum für Neurochirurgie, Klinikum der Universität zu Köln, Köln
  • Roland Goldbrunner - Labor für Neuroonkologie und Experimentelle Neurochirurgie, Klinik für Allgemeine Neurochirurgie, Zentrum für Neurochirurgie, Klinikum der Universität zu Köln, Köln
  • Marco Timmer - Labor für Neuroonkologie und Experimentelle Neurochirurgie, Klinik für Allgemeine Neurochirurgie, Zentrum für Neurochirurgie, Klinikum der Universität zu Köln, Köln

Deutsche Gesellschaft für Neurochirurgie. 64. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC). Düsseldorf, 26.-29.05.2013. Düsseldorf: German Medical Science GMS Publishing House; 2013. DocMI.13.03

doi: 10.3205/13dgnc385, urn:nbn:de:0183-13dgnc3853

Published: May 21, 2013

© 2013 Perrech et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.en). You are free: to Share – to copy, distribute and transmit the work, provided the original author and source are credited.


Outline

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Objective: IDH1 mutations (mut) occur in more than 70% of WHO grade II and III gliomas and secondary glioblastomas (GBM). The most frequent mutation leads to a specific amino acid change at codon 132. Diagnostics of this mutation are based on DNA sequencing and immunohistochemistry (IHC), methods limited in terms of sensitivity and ease of use. Recently, measuring the IDH1mut level by real time PCR was introduced as an alternative method. Thus, we aimed to (i) validate this new technique in a larger patient cohort, compared it to control tissue, and (ii) investigated if the expression of both, IDH1mut and IDH1 wildtype (wt) correlates with the course of disease and different treatment regimens.

Method: A total of 71 tumor samples were divided into 7 subgroups (control brain tissue, diffuse glioma, anaplastic glioma, secondary glioblastoma ± chemotherapy (CTx), primary glioblastoma ± CTx). Tumor samples were snap frozen and processed for sectioning, RNA and protein isolation. The quantitative expression of IDH1 mRNA was assessed using real-time PCR with specific primers for IDH1mut and -wt; protein expression was verified by Western Blot analysis and IHC.

Results: Allele-specific quantitative PCR does work in larger patient cohorts and seems to be an easy and ~10 times more sensitive method for IDH1mut evaluation compared to the ones used so far. The most reliable cut-off value was found with Δconcentration (con.) = conc.(IDH1mut) – conc.(IH1wt). Our results with this new method confirmed previous data. Most astrocytomas and sec. GBM bear the mutation (con. 0.13 to 0.2) whereas most prim. GBM do not (con. ~0.025). The IDH1mut was not detectable in control tissue (con. <0.009±0.002). The difference between control tissue, prim. GBM and astrocytomas/sec. GBM was highly significant (p=0.003). No significant difference was found between grade II, III and secondary grade IV tumors. Radio- and/or CTx do also not alter the IDH1mut expression. Interestingly, IDH1wt was significantly higher expressed in all tumor groups (con. >0.1) compared to control brain tissue (0.007±0.0016).

Conclusions: This assay is able to analyze 100 samples simultaneously in ~1 hour. Recurrent disease and radio-CTx do not alter the general IDH1 status. The high increase of IDHwt expression in all tumor probes is likely due to an upregulated metabolism. In summary, this method is highly sensitive, cost-effective and timesaving and may therefore play an important role in IDH1mut analysis in the future.