Eike Steidl1,2,3, Oliver Baehr2,3, Joachim P. Steinbach2,3, Michael W. Ronellenfitsch2,3, Friedhelm Zanella1, Elke Hattingen1, and Ulrich Pilatus1
1Institute of Neuroradiology, Frankfurt am Main, Germany, 2Dr. Senckenberg Institute of Neurooncology, Frankfurt am Main, Germany, 3German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
Synopsis
Myoinositol
is an organic osmolyte, with intracellular concentration changes depending on
the extracellular osmolality. Since Bevacizumab reduces tumor edema, we asked whether
the Myoinositol concentration changes during therapy.
We used 1H-MRS
to measure the Myoinositol concentrations in the tumor and contralateral
control of patients with recurrent glioblastomas treated with Bevacizumab (n=30)
and CCNU/VM26 (n=9).
Pre-therapeutic
Myoinositol concentrations in the contralateral control were predictive of
overall survival in patients treated with Bevacizumab. Furthermore our data
confirm that recurrent glioblastoma show a strong metabolic reaction to Bevacizumab
and support the hypothesis that Myoinositol might be a marker for early tumor
cell invasion.
Introduction
For
a better understanding of the antiangiogenic Bevacizumab (BVZ) therapy and to
identify patients who might benefit from it, we used
1H MRS to monitor
metabolic changes during treatment. Up to now most of the research employing
MRS has been focused on the effects of BVZ on the tumor’s energy and membrane
metabolites as potential markers
1–3. A different metabolite that can be measured
with
1H-MRS is myoinositol (MI). MI plays an important role in the
cellular osmoregulation of the brain and is predominantly produced by
astrocytes
4. Its intracellular concentration changes
depending on the extracellular osmolality
5–7. BVZ has a strong impact on tumor vessels, the
blood-brain barrier and thus most likely on the osmotic environment
8. We therefore hypothesized that a change of the
MI concentration should be measurable during BVZ therapy. To investigate our
hypothesis we evaluated the spectroscopic data of 30 prospectively evaluated patients
with recurrent glioblastoma before and during therapy with BVZ. Another 9
patients with recurrent glioblastoma receiving CCNU (Lomustine) and VM26
(Teniposid) chemotherapy served as a control group.
Methods
Patients
with a histological diagnosis of glioblastoma and radiologically confirmed
recurrence were included. All participants underwent an MRS examination before
the start of therapy and at regular MRI follow up. Follow ups were performed
after 8 weeks for BVZ patients and 10-12 weeks for CCNU/VM26 patients (Patient characteristics shown in Table 1). The
detailed MRS protocol can be found in the previously mentioned publication by
Hattingen et al.
2. The data was sampled from voxels within the tumor ROI and
the control ROI in the contralateral hemisphere. LCModel was employed to analyze the
MI signal intensity. To evaluate the potential of MI as a predictive marker for
BVZ therapy we performed an overall survival (OS) analysis for the BVZ cohort.
Results
MI
concentrations in the tumor were lower compared to control tissue (p< .001) for both cohorts. Concentrations increased significantly
during BVZ therapy in tumor (p<.001) and control tissue (p=.001), but not
during CCNU/VM26 treatment (Figure 1). For the BVZ cohort, higher MI
concentrations in the control tissue at baseline (p=.021) and higher
differences between control and tumor tissue (delta MI, p=.011) were associated
with longer survival. A Kaplan-Meier analysis showed a median OS of 164 days
for patients with a deltaMI < 1,817 mmol/l and 275 days for patients with a
deltaMI > 1,817 mmol/l (Figure 2). No differences were observed for the
relative changes or the post treatment concentrations (data shown in Table 2).
Discussion
A low MI concentration in the tumor compared to the control tissue is in accordance with previous MRS studies 9–11. The VEGF secretion of glioblastoma causes a disruption of the blood-brain barrier followed by a leakage of electrolytes and small molecules from the vessels, affecting the osmolality of the extracellular environment 12. The distinct reduction of contrast enhancement and peritumoral edema during BVZ therapy suggests a normalization of the osmotic environment, which is reflected by the increase of the MI concentration in the tumor. In contrast, we did not observe changes of the MI concentrations during CCNU/VM26 therapy, indicating that the cytotoxic treatment does not affect the regulation of intracellular MI.
While tumor MI concentrations were not significant, we identified baseline control MI and delta MI levels to be predictive for overall survival. As
in the tumor, control MI was increased after BVZ treatment. This either suggests
an impact of BVZ on healthy tissue or, alternatively, a tumor related
decrease of MI at baseline with a therapy effect comparable to the one in the
tumor. Since low baseline values in the control tissue and a lower difference to the values in the tumor were negative predictors for overall survival, they might indicate a more widespread effect of the tumor. Consequently this would indicate an affection of the contralateral control tissue. We assume that this observation could either be explained by direct tumor cell Infiltration, which has already been
described to occur in more than 50% of untreated tumors by Matsukado et al. in
1961 13 or an indirect tumor effect. Concerning indirect effects, a spreading edema that is not yet visible in MRI scans or increased intracranial pressure affecting the contralateral hemisphere have to be taken into account.
Conclusion
Pre-therapeutic MI concentrations are predictive of overall survival in patients with recurrent glioblastoma treated with BVZ. Our data confirm that recurrent glioblastoma show a strong metabolic reaction to BVZ. Further, our results support the hypothesis that MI might be a marker for early tumor cell invasion.
Acknowledgements
We thank the staff
and nurses of Dr. Senckenberg Institute of Neurooncology who supported this
study, including Elena Gomez-Bravo, Elvira Müller, Clarissa Schaumburg-Bähr, Jana
Hartan as well as our medical-technological radiology assistants at the Brain
Imaging Center Stefanie Pellikan and Maurice Harth.References
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