In Vivo Detection of 2-Hydroxyglutarate in Low-Grade Glioma Patients
Elizabeth D Phillips1, Llewellyn E Jalbert1, Yan Li1, Marisa M Lafontaine1, and Sarah J Nelson1

1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States

Synopsis

While the feasibility of utilizing 2HG as a magnetic resonance biomarker has been established ex vivo, several different approaches to obtaining in vivo data have been presented. This project aims to assess the concordance of 2HG detection using asymmetric echo PRESS MRSI with IDH1R132H mutation as identified via antibody staining in patients with LGG, and to investigate the relationship of other metabolites detected with this sequence to IDH status. Further research is required before routine clinical implementation of these methods is recommended.

Introduction

The recent discovery of point mutations in isocitrate dehydrogenase 1 & 2 (IDH1/2) oncogenes and subsequent gain-of-function production of 2-hydroxyglutarate (2HG) has permanently altered the clinical landscape for patients with low-grade glioma (LGG). While the feasibility of utilizing 2HG as a magnetic resonance biomarker has been established ex vivo [1], several different approaches to obtaining in vivo data have been presented [2,3,4,5]. The asymmetric echo technique proposed by Choi et al [2] holds significant promise due to its ease of implementation and use of J-modulation to highlight the 2HG signal.

Purpose

This project aims to assess the concordance of 2HG detection using asymmetric echo PRESS MRSI with IDH1R132H mutation as identified via antibody staining in patients with LGG and to investigate the relationship of other metabolites detected with this sequence to IDH status.

Methods

A total of 26 patients with newly-diagnosed (n=16) or recurrent (n=10) LGG were included in this IRB-approved study. MR imaging exams were either performed immediately prior to neurosurgery (n = 16) or as part of a serial imaging study (n = 10) at our institution.

Scans were conducted on a 3T EXCITE GE scanner (GE Healthcare) using an eight-channel phased-array head coil. Data was acquired using a 3D 1H MRS asymmetric PRESS (TE = 97ms) with very selective saturation (VSS) pulses for lipid signal suppression (excited volume 80×100×40 mm3 or larger, overpress factor 1.2), TR/TE1/TE2 = 1140/32/65 ms, FOV = 16×16×16 cm3 (1×1×1 cm3 voxels) flyback echo-planar readout gradient in the SI direction, 712 dwell points and 988 Hz sweep width.

Immunohistochemistry (IHC) was performed to determine IDH1 mutation status. Because the IDH1R132H antibody is specific for histidine variants of IDH-enzymes, samples with other IDH1 and IDH2 mutations, if present, would not have been detected.

MRSI data were reconstructed using in-house software [6]. T2 hyperintense lesions were defined on the axial FLAIR images. Spectra from voxels that were overlapping by ≥50% with the region of T2 hyperintensity were phase- and frequency-corrected, and then averaged to increase the SNR and improve the detection of 2HG (Figure 1). Metabolites in these averaged spectra were quantified via fitting to a simulated data set with 21 metabolites, using the LCModel software package [7]. The metabolite levels that are reported were normalized relative to total creatine (PCr+Cr), in order to improve the quality of comparison between different scans and patients. The detection of 2HG was defined by a positive nonzero linear combination fit with Cramér-Rao Lower Bounds(CRLB)≤20% of the total estimate. For all other metabolites, those with CRLB lower than 20% were involved in analysis.

Preliminary Results

The antibody staining technique was positive for the IDHR132H enzyme in tissue samples from 19 patients and negative in 7 patients.

An example of 3D MRSI and averaged spectra from patient with IDH1+ oligodendroglioma is shown in Figure 1. The averaged number of T2 voxels from all the patients was 34, and the number of T2 voxels for IDH1- and IDH1+ groups is illustrated in Figure 2. The detection of 2HG associated with IDH1-mutation status as determined by IHC are presented in Table 1. There was a positive agreement of 2HG detection with IDH1 mutation of 32% (6/19 IDH1+ samples showed a statistically significant 2HG fit) and a negative agreement of 100% (7/7 IDH1− did not show any 2HG fit). This resulted in an overall concordance of 50%. Figure 3 illustrates 2HG/tCr for each subject. Comparisons between other metabolites demonstrated a statistically significant difference between groups in levels of 2HG and glutathione (GSH) (Figure 4).

Discussion

The non-invasive detection of IDH mutation has the potential to add highly valuable information that will improve the clinical standard-of-care for patients with LGG. The results of this study show that the sensitivity for detecting quantifiable levels of 2HG was low, which is in agreement with another recent preliminary report [8]. Further research is required before routine clinical implementation of these methods is recommended. Correlations between 2HG detection and tumor size, grade, and type are being be explored and it is expected that IHC results for an additional 28 acquired scans will become available in the coming months. The observed elevation of GSH in the IDH1+ population was consistent with previous studies [9][10], and may reflect elevated oxidative stress in this type of LGG[11].

Acknowledgements

Thank you to Adam Elkhaled for sharing knowledge and advice, Andrew Leynes for coding advice and troubleshooting, and Evan Neill for help with LC Model.

References

[1] Elkhaled, A, Jalbert, L et al. "Magnetic resonance of 2-hydroxyglutarate in IDH1-mutated low-grade gliomas." Science translational medicine 4.116 (2012): 116ra5-116ra5.

[2] Choi, Changho, et al. "A comparative study of short-and long-TE 1H MRS at 3 T for in vivo detection of 2-hydroxyglutarate in brain tumors." NMR in Biomedicine26.10 (2013): 1242-1250.

[3] Choi, Changho, et al. "2-hydroxyglutarate detection by magnetic resonance spectroscopy in IDH-mutated patients with gliomas." Nature medicine 18.4 (2012): 624-629.

[4] Andronesi, Ovidiu C., et al. "Detection of oncogenic IDH1 mutations using magnetic resonance spectroscopy of 2-hydroxyglutarate." The Journal of clinical investigation 123.9 (2013): 3659.

[5] Pope, Whitney B., et al. "Non-invasive detection of 2-hydroxyglutarate and other metabolites in IDH1 mutant glioma patients using magnetic resonance spectroscopy." Journal of neuro-oncology 107.1 (2012): 197-205.

[6] Crane JC, Olson MP, Nelson SJ. SIVIC: Open-Source, Standards-Based Software for DICOM MR Spectroscopy Workflows. Int J Biomed Imaging. 2013;2013:169526.

[7] Stephen W. Provencher. “Estimation of metabolite concentrations from localized in vivo proton NMR spectra”. In: Magnetic Resonance in Medicine 30.6 (1993), pp. 672– 679. issn: 1522-2594. doi: 10.1002/mrm.1910300604. url: http://dx.doi.org/10. 1002/mrm.1910300604.

[8] Macarena I. de la Fuente, et al. Feasibility of 2-hydroxyglutarate 1H-MR spectroscopy for routine clinical glioma imaging. [abstract]. Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1498. doi:10.1158/1538-7445.AM2015-1498

[9] Opstad, K. S., et al. "Detection of elevated glutathione in meningiomas by quantitative in vivo 1H MRS." Magnetic resonance in medicine 49.4 (2003): 632-637.

[10] Constantin, Alexandra, et al. "Identifying malignant transformations in recurrent low grade gliomas using high resolution magic angle spinning spectroscopy."Artificial intelligence in medicine 55.1 (2012): 61-70.

[11] Rocha, C. R. R., et al. "Glutathione depletion sensitizes cisplatin-and temozolomide-resistant glioma cells in vitro and in vivo." Cell death & disease5.10 (2014): e1505.

Figures

Table 1: Sample characteristics sorted by IDH1 status.

Figure 1: Mask showing the percentage of each spectral voxel composed of tumor tissue as defined by a lesion ROI drawn on a T2w FLAIR image. Voxels composed of ≥50% lesion tissue without major artifacts were included in the average.

Figure 2: Number of voxels analyzed per tumor in each group.

Figure 3: Estimated 2HG/tCr ratios of all cases in which IDH1 mutation status was known.

Figure 4: Average concentrations of selected metabolites (normalized to tCr) according to IDH1 mutation status.



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