IDH-1 Mutation and Non-Enhancing Component of Glioblastoma
Daniel M Fountain1, Timothy J Larkin2, Natalie R Boonzaier2, Jiun-Lin Yan2, and Stephen J Price2

1The Brain Tumour Imaging Laboratory, Division of Neurosurgery, University of Cambridge, Cambridge, United Kingdom, 2Division of Neurosurgery and Wolfson Brain Imaging Centre, The Brain Tumour Imaging Laboratory, Cambridge, United Kingdom

Synopsis

IDH-1 mutated glioblastoma is associated with improved survival, and greater sensitivity to further resection of non-enhancing disease than IDH-1 wild-type. We used structural, diffusion tensor, perfusion and spectroscopic imaging data in a mixed model across the peritumoral region in 54 patients. Applying a mixed model methodology across three levels of data resolution, we demonstrated that IDH-1 mutated tumors demonstrated raised choline and lowered glutamate and glutamine compared to IDH-1 wild-type. The findings provided an AUC of 0.943 when combined with age. We hypothesised this results in greater sensitivity to treatment and reduced excitotoxicity, thus explaining their relatively superior prognosis.

Purpose

Isocitrate dehydrogenase 1 gene (IDH-1) mutations have been shown to be present in over 80% of secondary glioblastoma (GBM), but only in 5-12% of primary GBM.1 Given that patients with IDH-1 mutated tumors demonstrate an increased survival benefit compared to wild-type tumors following further resection of non-enhancing disease,2 we hypothesized that the non-enhancing components of IDH-1 mutated and wild-type GBM differed significantly. We therefore investigated if the non-enhancing lesion demonstrated intrinsic differences between IDH-1 mutated and wild-type tumors using multimodality imaging data.

Methods

54 patients were imaged on a Siemens 3T Magnetom Trio with conventional anatomical, diffusion tensor (DTI), dynamic susceptibility contrast perfusion (DSC) and 1H chemical shift imaging (CSI) performed. All images were coregistered to the T2-weighted image using the FLIRT toolbox in FSL. The fluid attenuated inversion recovery (FLAIR) region of interest (ROI) was determined excluding the contrast-enhancing tumor and necrosis, thus forming the non-enhancing component for analysis (Figure 1).

Analysis was performed on three levels of data resolution (Figure 2). The first and second levels applied a mixed model design to DTI voxelwise and spectroscopy voxelwise data (Figure 2a and 2b respectively). The mixed model method enables robust fitting in the presence of unbalanced data, inter-subject differences and missing data. The third level of analysis approached the FLAIR VOI as a whole by averaging all variables across the total volume and modelling using a generalised linear model (Figure 2c). Significance was assessed at the 5% level with Bonferroni correction for multiple testing. Area under the receiver operator characteristics curve (AUC) was computed following multiple logistic regression. All statistical analysis was performed with 64-bit R version 3.0.2.

Results

The FLAIR peritumoural region showed significant increases in choline relative to creatine in IDH-1 mutated tumours (Estimate 0.190 – 0.205, p = 0.004-0.008), and choline relative to N-acetyl-aspartate (Estimate 0.510–0.801, p = 0.008–0.037) compared to IDH-1 wild type tumours. Conversely, significantly lower levels of glutamate and glutamine were observed IDH-1 mutated tumours (Estimate -0.603 – -0.878, p = 0.007–0.014). These findings with age provided an area under the curve of 0.943.

Discussion

We propose two hypotheses to explain this finding and the improved survival in patients with IDH-1 mutated tumors. Firstly, invasive margins of IDH-mutated tumors are more sensitive to treatment. This correlates with in vitro findings,3 and in vivo IDH-1 mutated tumours with a higher Cho/NAA in the peritumoral margin may be more sensitive to cytotoxic therapies.4 Secondly, the reduced concentration of glutamate and glutamine identified in IDH-1 mutated tumors is neuroprotective relative to the IDH-1 wild-type. Glutamate is known to be released in excitotoxic concentrations in glioma cells and in GBM, and is involved in the mechanism of glioma invasion.5

Conclusion

Across three levels of statistical analysis, IDH-1 mutated tumors demonstrated significantly different metabolite profiles in the peritumoral region than the IDH-1 wild type with high predictive power when combined with age.

Acknowledgements

This study was funded from a Clinician Scientist Award from the National Institute for health Research [SJP]. Further funding was from The Commonwealth Scholarship Commission, the Cambridge Trust and Canon Collins Trust [NRB] and the Chang Gung Medical Foundation and Chang Gung Memorial Hospital [JLY]. The work was supported by the Cambridge NIHR Biomedical Research Centre and the Cambridge Cancer Centre.

References

1. Yan H, Parsons DW, Jin G, et al. IDH1 and IDH2 Mutations in Gliomas. N Engl J Med. 2009;360(8):765-773. doi:10.1056/NEJMoa0808710.

2. Beiko J, Suki D, Hess KR, et al. IDH1 mutant malignant astrocytomas are more amenable to surgical resection and have a survival benefit associated with maximal surgical resection. Neuro-Oncol. 2014;16(1):81-91. doi:10.1093/neuonc/not159.

3. Mohrenz IV, Antonietti P, Pusch S, et al. Isocitrate dehydrogenase 1 mutant R132H sensitizes glioma cells to BCNU-induced oxidative stress and cell death. Apoptosis Int J Program Cell Death. 2013;18(11):1416-1425. doi:10.1007/s10495-013-0877-8.

4. Price SJ, Young AHM, Scotton WJ, et al. Metabolic activity of the invasive microenvironment of glioblastomas determines time to progression: a multimodal MR study. Proc Intl Soc Mag Reson Med. 2015;23:2252.

5. Sontheimer H. A role for glutamate in growth and invasion of primary brain tumors. J Neurochem. 2008;105(2):287-295. doi:10.1111/j.1471-4159.2008.05301.x.

Figures

Figure 1 – Multi-modality data for Patient 1 (IDH-1 wild-type). Data available across all axial slices are shown for each variable of interest. Cho – choline, NAA – N-acetyl-aspartate, mI – myo-inositol, Cr – creatine, Glu – glutamate and glutamine, GSH – glutathione.

Figure 2 – Three levels of resolution of imaging data for statistical analysis. A) Voxel-wise DTI data with 2 × 2 × 5mm voxels. B) Voxel-wise spectroscopy data with 10 × 10 × 15-20mm. C) Imaging data averaged over the whole region of interest.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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