Esin Ozturk-Isik1, Sevim Cengiz1, Alpay Ozcan2,3, Cengiz Yakicier4, M. Necmettin Pamir3,5, Koray Ozduman3,5, and Alp Dincer3,6
1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Department of Medical Engineering, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 3Neuroradiology Research Center, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 4Department of Molecular Biology and Genetics, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 5Department of Neurosurgery, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 6Department of Radiology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
Synopsis
Overall
survival of gliomas has been reported to be highly associated with the presence
of isocitrate dehydrogenase (IDH) and telomerase reverse transcriptase (TERT) promoter mutations. The aim of this study is to define MR
spectroscopic (MRS) differences of diffuse glioma subgroups classified by IDH
and TERT promoter mutations at 3T. TERT-only mutated and TERT wild type IDH
wild type (TW-IDHW) gliomas had similar metabolic profiles. Besides well-reported 2HG, our study
indicated the importance of glycine, glutathione, glutamate, and glutamine in identification of IDH-mutant gliomas. TERT-only gliomas had the highest glutamate and glutathione, which might be
indicators of poor overall survival.
PURPOSE
Recent
update in WHO classification of central nervous system tumors incorporated
genetic markers such as IDH mutation into the diagnosis of gliomas1, 2,
and clinicians have increasingly been employing genetic information in
treatment decision making. Overall survival of gliomas has been reported to be
highly associated with the presence of isocitrate dehydrogenase (IDH), telomerase
reverse transcriptase (TERT) promoter, and TP53 mutations, and 1p/19q
codeletion3-6.
IDH mutant (IDHM) gliomas have a better natural history, better treatment
response and longer survival than IDH-wild type (IDHW) tumors7, 8.
On the other hand, TERT-only mutant gliomas have been reported to have the
worst overall survival both among low-grade gliomas (LGG) and glioblastoma
multiforme (GBM)3.
Magnetic resonance spectroscopy provides biomarkers of cellular metabolism, and
previous studies have reported higher 2-hydroxyglutarate (2HG)9, 10,
and lower glutamate (Glu)11 and glutathione (GSH)12 in IDHM gliomas than IDHW
patients. There has not been a report on MRS markers of TERT mutational
subtypes of IDH mutation in gliomas. The aim of this study is to define MR spectroscopic
differences of diffuse glioma
groups classified by IDH and TERT promoter mutations 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, 33 glioblastoma multiforme (GBM), 27
anaplastic astrocytoma (AA), 8 grade III oligodendroglioma, 5 grade III
oligoastrocytoma, 18 grade II astrocytoma, 18 grade II oligodendroglioma, and 3
grade II oligoastrocytoma) were scanned a day before surgery at a Siemens Tim
Trio clinical 3T scanner (Erlangen, Germany) using a 32-channel head coil. Magnetic
resonance spectroscopy data were acquired from the solid tumor region 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 data were processed by using LCModel13. Twenty MR spectroscopic peak
concentrations, including glutamate (Glu), glutamine (Gln), glycine (Gly),
2-hydroxyglutarate (2HG), glutathione (GSH), myo-inositol (Ins), and lactate
(Lac), and six composite peak concentrations, including total choline (GPC+PCh,
tCho), total creatine (Cr+PCr), glutamate-glutamine complex (Glx), and total
NAA (NAA+NAAG), were quantified for each spectrum. Any metabolite that was not
quantifiable in more than 30% of the patients was not included in the analysis.
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 the
analysis. Immunohistochemistry was performed for determining IDH1 (Diovana, H09) mutations.
Afterwards, minisequencing was performed for IDH1-R132G/S/C, IDH1-R132L/H/P,
IDH2-R140Q/L, IDH2-R140W, IDH2-R172K/M, IDH2-R172W, hTERT-C228T and hTERT-C250T.
A Kruskal-Wallis test followed by pairwise multiple comparison Tukey-Kramer
test was used to identify statistically significant MR spectroscopic
differences between IDH (IDHM and IDHW) and TERT (TERT mutant (TM) and wild
type (TW)) mutational subgroups of gliomas. RESULTS
Figures
1 shows short-TE PRESS spectrum along with the LCModel results and IDH (d), Ki-67
(e), and hematoxylin and eosin (f) staining of a TW-IDHW GBM. There
were no statistically significant metabolic differences between TERT-only
mutated (TM-IDHW) and TW-IDHW gliomas (Table 1). TERT-only gliomas had the
highest Glu and GSH, while TW-IDHW gliomas had the highest Gln, Glyc, tCho, and
Glx. Additionally, TERT-only mutated gliomas had the lowest Ins, but it was not
statistically significant (n.s.). TM-IDHM gliomas had the lowest Gln, GSH, Glyc, GPC,
tCho, Lac (n.s.) and highest Cr, NAA (n.s.), and
tNAA (n.s.). TW-IDHW had higher Gln than both IDHM groups (P<0.007). TM-IDHW had higher Glu (P=0.001) and Glyc than TW-IDHM (P=0.012). TM-IDHM had lower Glyc than both
IDHW groups (P<0.006). IDHW groups
had higher GSH than both IDHM groups (P<0.0002).
TW-IDHW groups had highest tCho, which was statistically significantly higher
than both IDHM groups (P<0.004). IDHW
groups had higher Glx than IDHM groups (P<0.002).
DISCUSSION
No
metabolic differences were found between TERT-only mutated and TW-IDHW gliomas,
supporting the findings of similar clinical behavior of these two groups. IDH
mutation was found to be the main factor in metabolic differences between
different TERT and IDH mutational subgroups of diffuse gliomas. Besides
well-reported 2HG, our study indicated the importance of Glyc, GSH, Glu, and
Gln in identification of IDHM gliomas. TERT-only gliomas had the highest Glu and GSH, which might be indicators of poor overall survival.CONCLUSION
Short-TE
MRS is a clinically useful tool in identifying metabolic profile differences
between diffuse glioma
subgroups defined by IDH and TERT promoter mutations. Future studies
will explore the utility of machine-learning algorithms for classifying these
subgroups based on MRS profiles at 3T. Acknowledgements
This research was supported by TUBÄ°TAK 1003 grant 216S432.References
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