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Prospective Serial Proton MR Spectroscopic Assessment of Response to Tamoxifen for Recurrent Malignant Glioma

Overview
Journal J Neurooncol
Publisher Springer
Date 2008 Jul 5
PMID 18600428
Citations 9
Authors
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Abstract

Objective: Early prediction of imminent failure during chemotherapy for malignant glioma has the potential to guide proactive alterations in treatment before frank tumor progression. We prospectively followed patients with recurrent malignant glioma receiving tamoxifen chemotherapy using proton magnetic resonance spectroscopic imaging ((1)H-MRSI) to identify intratumoral metabolic changes preceding clinical and radiological failure.

Methods: We performed serial (1)H-MRSI examinations to assess intratumoral metabolite intensities in 16 patients receiving high-dose oral tamoxifen monotherapy for recurrent malignant glioma (WHO grade III or IV) as part of a phase II clinical trial. Patients were followed until treatment failure, death, or trial termination.

Results: Patients were officially classified as responders (7 patients) or non-responders (9 patients) 8 weeks into treatment. At 8 weeks, responders and non-responders had different intratumoral intensities across all measured metabolites except choline. Beyond 8 weeks, metabolite intensities remained stable in all responders, but changed again with approaching disease progression. Choline, lipid, choline/NAA, and lactate/NAA were significantly elevated (P < 0.02), while creatine (P < 0.04) was significantly reduced, compared to stabilized levels on average 4 weeks prior to failure. Lactate was significantly elevated (P = 0.036) fully 8 weeks prior to failure. In one patient who was still responding to tamoxifen at the conclusion of the trial, metabolite intensities never deviated from 8-week levels for the duration of follow-up.

Conclusions: Characteristic global intratumoral metabolic changes, detectable on serial (1)H-MRSI studies, occur in response to chemotherapy for malignant glioma and may predict imminent treatment failure before actual clinical and radiological disease progression.

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References
1.
Graves E, Nelson S, Vigneron D, Chin C, Verhey L, McDermott M . A preliminary study of the prognostic value of proton magnetic resonance spectroscopic imaging in gamma knife radiosurgery of recurrent malignant gliomas. Neurosurgery. 2000; 46(2):319-26; discussion 326-8. DOI: 10.1097/00006123-200002000-00011. View

2.
Barba I, Cabanas M, Arus C . The relationship between nuclear magnetic resonance-visible lipids, lipid droplets, and cell proliferation in cultured C6 cells. Cancer Res. 1999; 59(8):1861-8. View

3.
Simpson L, Galanis E . Recurrent glioblastoma multiforme: advances in treatment and promising drug candidates. Expert Rev Anticancer Ther. 2006; 6(11):1593-607. DOI: 10.1586/14737140.6.11.1593. View

4.
Tate A, Majos C, Moreno A, Howe F, Griffiths J, Arus C . Automated classification of short echo time in in vivo 1H brain tumor spectra: a multicenter study. Magn Reson Med. 2003; 49(1):29-36. DOI: 10.1002/mrm.10315. View

5.
Nelson S, Graves E, Pirzkall A, Li X, Antiniw Chan A, Vigneron D . In vivo molecular imaging for planning radiation therapy of gliomas: an application of 1H MRSI. J Magn Reson Imaging. 2002; 16(4):464-76. DOI: 10.1002/jmri.10183. View