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The Effect of Tumor Grade within IDH Wild-Type and IDH Mutant Gliomas Assessed by Proton Magnetic Resonance Spectroscopy at 3T
Esin Ozturk-Isik1,2, Banu Sacli Bilmez1, Ayca Ersen Danyeli2,3, Cengiz Yakicier4, Alpay Ozcan2,5,6, M. Necmettin Pamir2,5,7, Koray Ozduman2,5,7, and Alp Dincer2,5,8
1Institute of Biomedical Engineering, Bogaziçi University, Istanbul, Turkey, 2Brain Tumor Research Group, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 3Department of Pathology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 4Department of Molecular Biology and Genetics, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 5Center for Neuroradiological Applications and Research, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 6Department of Medical Device Technologies, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 7Department of Neurosurgery, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 8Department of Radiology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey

Synopsis

Isocitrate dehydrogenase (IDH) mutation highly affects the overall survival of gliomas. In addition to the IDH mutation, the tumor histologic grade might play a role in patient prognosis. The aim of this study was to assess the metabolic variations between different tumor grades within IDH mutant (IDH-mut) and IDH wild-type (IDH-wt) gliomas using proton MR spectroscopy. Higher glycine in glioblastoma (GBM) within IDH-mut, and lower Cr and mIns in GBM within IDH-wt were the only statistically significant differences. Our study indicated similar metabolic profiles of different grades within IDH mutational subgroups, supporting IDH as a better predictor of clinical outcome.

Introduction

Recent studies have marked the importance of isocitrate dehydrogenase (IDH) mutation in overall survival of gliomas, and WHO classification of central nervous system tumors incorporated IDH mutation into the diagnosis of gliomas.1, 2 Brain tumors with IDH mutation (IDH-mut) have better prognosis and treatment response than IDH wild-type (IDH-wt) tumors.3-8 Proton magnetic resonance spectroscopy (1H-MRS) provides biomarkers of cellular metabolism, and previous 1H-MRS studies indicated that IDH-mut tumors displayed a less aggressive metabolic profile than other tumors based on higher 2-hydroxyglutarate (2HG)9-11, myo-inositol (mIns)12, and N-acetyl aspartate (NAA)12, and lower gluthathione (GSH)12, 13, glycine (Glyc)12, total choline (tCho)12, glutamate (Glu)12, 14, and glutamate glutamine complex (Glx)12 levels. On the other hand, tumor histologic grade has been the long-standing gold standard of assessing tumor behaviour, and the overall survival for low-grade gliomas (LGG) is better than glioblastoma (GBM).15 There has not been a report on MRS markers of different tumor grades within IDH-mut and IDH-wt gliomas. The aim of this study is to define MR spectroscopic differences of diffuse glioma groups classified by grade within IDH-mut and IDH-wt gliomas at 3T.

Methods

A total of 112 patients diagnosed with a diffuse-glioma (70M/42F, mean age: 42.08±13.88 years, range: 20-74 years, 73 IDH-mut, 39 IDH-wt, 33 glioblastoma (GBM), 31 anaplastic astrocytoma, 9 grade III anaplastic oligodendroglioma, 21 grade II diffuse astrocytoma, and 18 grade II oligodendroglioma) were scanned before surgery at a Siemens Tim Trio clinical 3T scanner (Erlangen, Germany) using a 32-channel head coil. 1H-MRS data were acquired from the solid tumor region with the maximum cerebral blood volume (CBV) excluding gross hemorrhage, edema, and necrosis by using a short echo time (TE) Point Resolved Spectroscopy (PRESS) sequence (repetition time (TR)=2000 ms, TE=30ms, 1024 points, 1200 Hz, voxel size= 10x10x10 mm3, number of signal averages= 192, acquisition time=6.5 min). The spectral peak intensities for 19 metabolites, including creatine (Cr), phosphocreatine (PCr), gamma-aminobutyric acid (GABA), glutamine (Gln), Glu, Glyc, glycerophosphocholine (GPC), phosphocholine (PCh), GSH, 2HG, mIns, lactate (Lac), NAA, N-acetylaspartylglutamic acid (NAAG), alanine, aspartate, glucose, scyllo-inositol, and taurine, in addition to macromolecules and lipids were quantified for each spectrum using LCModel with a simulated basis set.16 Alanine, aspartate, glucose, scyllo-inositol, and taurine were not quantifiable in more than 30% of the patients, and were excluded from further analysis after quantification. Additionally, for the remaining metabolites, any metabolite of a given spectrum with a Cramer-Rao lower bound (CRLB) of more than 30 was excluded from further analysis. Immunohistochemistry was performed for IDH1 (Diovana, H09). Afterwards, minisequencing was performed for IDH1-R132G/S/C, IDH1-R132L/H/P, IDH2-R140Q/L, IDH2-R140W, IDH2-R172K/M, and IDH2-R172W. A Kruskal Wallis test followed by post hoc Tukey-Kramer test was used to identify statistically significant MR spectroscopic differences between different grades within IDH-mut and IDH-wt gliomas. Bonferroni multiple comparison correction was applied, and a P value of less than 0.003 was considered as statistically significant.

Results

Figures 1 and 2 show example short-TE 1H-MRS data along with some of the LCModel results for an IDH-mut grade III oligodendroglioma and an IDH-wt GBM, respectively. While higher tCho, Lac and lipid peaks, and lower tNAA were observable in IDH-wt GBM, IDH-mut grade III oligodendroglioma displayed high 2HG and mIns. GBM patients had statistically significantly higher Glyc (P = 0.002) than grades II and III gliomas in IDH-mut group (Table 1). Additionally, GBM patients had statistically significantly lower Cr (P < 0.001), tCr (P = 0.001), and mIns (P < 0.001) than grades II and III in IDH-wt gliomas (Table 2). There were trends of lower Cr (P = 0.03), mIns (P = 0.008), and NAA (P = 0.008), and higher tCho (P =0.018) and Glx (P = 0.05) in GBM subgroup of IDH-mut gliomas. Moreover, IDH-wt GBM patients had a trend for lower mIns+Glyc (P = 0.026) than IDH-wt lower grade gliomas.

Discussion and Conclusion

Since 2015, studies with long-term follow-up of large cohorts have shown distinct differences of clinical course between IDH-mut and IDH-wt tumors, and the malignancy definition is not based solely on histopathological findings anymore.17, 18 Tumors with the same morphology may have different molecular phenotypes 8, and molecular phenotype may be prognostically more relevant than morphology.19 Thus, World Health Organization (WHO) has included molecular features in the classification of gliomas in 2016.1 Diffuse glial tumors have completely different clinical behavior based on IDH and/or telomerase reverse transcriptase promoter (TERTp) mutation status. The morphologic criteria suggesting malignancy is also quite different for each molecular subtype. All IDH-wt glial tumors, even the ones with no mitosis or necrosis that would be grouped as grade II based on morphology, have worse prognosis than any IDH-mut astrocytic tumor, and these tumors are now considered as malignant. No statistically significant metabolic differences except glycine were found between different grades of IDH-mut gliomas, and lower Cr and mIns in GBM were the only statistically significant findings in IDH-wt group. In conclusion, the results of this study indicated that different grade gliomas had similar 1H-MRS profiles within IDH-mut or IDH-wt gliomas, which might be one of the reasons of similar clinical behavior despite the grade within IDH mutational subgroups.

Acknowledgements

This research has been supported by TUBİTAK 1003 grant 216S432.

References

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Figures

Figure 1. An example IDH-mut grade 3 oligodendroglioma. The voxel selection on a T2weighted MRI (a) along with some of the LCModel results (b).

Figure 2. An example IDH-wt GBM. The voxel selection on a T2 weighted MRI (a) along with some of the LCModel results (b).

Table 1. The metabolite peak intensity differences between different grades of IDH-mut gliomas and the P-values of a Kruskal Wallis test (*P <= 0.003).

Table 2. The metabolite peak intensity differences between different grades of IDH-wt gliomas and the P-values of a Kruskal Wallis test (*P <= 0.003).

Proc. Intl. Soc. Mag. Reson. Med. 28 (2020)
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