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Metabolic Markers of Disease Progression in Pediatric Diffuse Intrinsic Pontine Gliomas
Stefan Bluml1,2, Brenda Kurland3, Marvin D Nelson1, Benita Tamrazi1, Rafael Ceschin4, Ian F Pollack5, and Ashok Panigrahy4

1Radiology, Children's Hospital Los Angeles/USC, Los Angeles, CA, United States, 2Rudi Schulte Research Institute, Santa Barbara, CA, United States, 3Biostatistics, UPMC Children's Hopital of Pittsburgh, Pittsburgh, PA, United States, 4Radiology, UPMC Children's Hopital of Pittsburgh, Pittsburgh, PA, United States, 5Neurosurgery, UPMC Children's Hopital of Pittsburgh, Pittsburgh, PA, United States

Synopsis

Diffuse intrinsic pontine gliomas (DIPG) are inoperable and highly resistant to chemo- and radiation therapy. DIPG carry the worst prognosis among pediatric brain tumors with progress in the development of therapies compromised by low patient numbers and unavailability of tissue samples to characterize disease status. In this work we present evidence, that non-invasive MR spectroscopy can provide robust early indicators that can assess the effectiveness (or ineffectiveness) of potential new therapeutic approach at an early stage and accelerate the completion of clinical trials in small cohorts of patients.

Introduction

Diffuse intrinsic pontine glioma (DIPG) carry the worst prognoses in pediatric neurooncology, with no substantial improvement in outcomes for decades. There is nevertheless clinically significant heterogeneity in outcomes with some patients only surviving a few months after diagnosis whereas other patients may survive up to a few years. The goal of this study was to identify in vivo metabolic markers that distinguish between these subgroups at different stages of the disease course.

Methods

MRS studies from 47 DIPG patients were reviewed for this analysis. Patients were recruited from two sites. 14 patients were enrolled in a highly standardized phase 1 clinical trial of peptide-based vaccine therapy (VT) at the first site (cohort A). In addition, data from 33 patients that were treated with various not-standardized radio-chemotherapies from the second site (cohort B) were analyzed. Initial review indicated comparable trends for both cohorts and all data were thus pooled. Metabolic profiles were binned into clinically equivalent time points and sorted by the length of survival after initial diagnosis. To have an unambigous clear separation of clinical course, MR spectra of four patients with the shortest survival and four patients with the longest survival were compared at initial diagnosis and at the first and second follow-up after radiation therapy (RT) (Tab. 1). All spectra were acquired using a single-voxel PRESS sequence (TE = 35ms, TR = 1.5s, 128 averages, acquisition time: 4min) integrated with routine pre/post contrast MR imaging and performed on 1.5T MR systems (Signa LX, GE Healthcare, Milwaukee, Wisconsin). Spectra were processed with fully automated LCModel (version 6.3-1l) software. Concentrations of the main metabolites N-acetylaspartate (NAA), creatine (Cr), choline (Cho), myo-inositol (mI) and metabolite ratios relative to Cho, as well as lactate (Lac) and lipids (Lip) were evaluated. Student’s t-test was used for statistical tests.

Results

At diagnosis, DIPG patients with short survival (< 9 months) presented with generally higher absolute metabolite concentrations than long survivors (>18 months), whereas there was no difference of relative concentrations. At first follow-up after completion of therapy, metabolite levels of longer survivors had increased to the same levels or both those seen in short survivors. The ratios of Cr/Cho and mI/Cho were significant different between these two groups with no overlap. This pattern was confirmed at the second follow-up (Fig. 1, Tab.1).

Discussion

Albeit DIPG are considered to have a particular poor prognosis, there are clinically significant differences in survival in individual patients. Early identification and stratification of patients at high risk for early relapse or of patients that are expected to do better would have a significant positive impact on patient management and quality of life. Since biopsies are usually not obtained, non-invasive imaging is required to potentially provide this information. At diagnosis metabolite profiles were comparable, apart from generally high metabolite levels in the subgroup with particularly poor outcome. However, already at the first follow-up study after completion of RT, typically 2-3 months after diagnosis, striking metabolic differences for these two subgroups were observed. The changes from baseline in short survivors (decreasing mI/Cho and Cr/Cho) were consistent with malignant progression (1,2). In addition, MRS at initial follow-up exams could provide early endpoints for clinical trials and thus accelerate clinical research. It appears unlikely that MRS or other advanced non-invasive methods can be used to evaluate treatment options that offer marginal improvement over current therapies. On the other hand, a “game-changing” therapeutic approach could be recognized in a small patient cohort.

Conclusions

MRS profiles can be used to stratify DIPG patients at the extremes of clinical outcomes early in the disease course. MRS to monitor treatments could accelerate clinical research considerably.

Acknowledgements

Ian's Friends Foundation

References

1. Panigrahy A, Nelson MD, Jr., Finlay JL, et al. Metabolism of diffuse intrinsic brainstem gliomas in children. Neuro Oncol. 2008; 10(1):32-44.9.

2. Laprie A, Pirzkall A, Haas-Kogan DA, et al. Longitudinal multivoxel MR spectroscopy study of pediatric diffuse brainstem gliomas treated with radiotherapy. Int J Radiat Oncol Biol Phys. 2005; 62(1):20-31.

3. Chen HJ, Panigrahy A, Dhall G, Finlay JL, Nelson MD, Blüml S. Apparent diffusion and fractional anisotropy of diffuse intrinsic brain stem gliomas. AJNR Am J Neuroradiol. 2010; 31(10):1879-1885.

Figures

Figure 1: Single-Voxel MR spectra of DIPG with long survival (top) and short survival (bottom). Spectra are scaled to be representative of observed absolute concentration levels. At diagnosis, spectral patterns for the two groups are comparable - except higher metabolite concentrations in shorter survivors. As metabolites are generally intercellular, this is consistent with more aggressive DIPG being more cellular (3). At first follow-up after RT, Cr and mI declined noticeable relative to Cho in patients with short survival - consistent with malignant progression. In long survivors, mI increased relative to Cho. This trend continued at the 2nd follow-up.

Table 1: Relative and absolute metabolite levels in two groups of DIPG clinically separated by significantly different overall survival after diagnosis (Short OS: 210±45 days, Long OS: 621±120 days). Baseline scans were acquired at the time of diagnoses; 1st post RT at 2-3 months after diagnoses, and 2nd post RT at 3-5 months. Met4 = NAA+Cr+Cho+mI. Concentrations are in institutional units (u.i.).

Proc. Intl. Soc. Mag. Reson. Med. 27 (2019)
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