Brain Tumors Clinical Trial
Official title:
Tryptophan Metabolism in Human Brain Tumors
Verified date | January 2022 |
Source | Wayne State University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The main purpose of this study is to determine the potential clinical utility of PET imaging using the radiotracer [C-11]alpha-methyl-L-tryptophan in the diagnosis, differentiation and monitoring of various brain tumors, both before and after initial treatment. We will also study mechanisms and clinical significance of abnormal brain tumor tryptophan metabolism using resected tumor tissues.
Status | Completed |
Enrollment | 105 |
Est. completion date | December 31, 2021 |
Est. primary completion date | December 31, 2021 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 13 Years and older |
Eligibility | Inclusion Criteria: 1. Clinical and MRI diagnosis of an intracranial lesion suspicious for a brain tumor, including primary and metastatic tumors, or a possible residual or recurrent brain tumor (based on clinical imaging); or history of glioma treatment with chemoradiation, even if no definite progression is found on clinical MRI. 2. Age =13 years. Exclusion Criteria: 1. Severe increased intracranial pressure, status epilepticus, or other symptoms requiring emergency or urgent intervention. 2. Resective surgery within 2 months prior to the PET scan (acute/subacute post-surgical inflammatory changes may cause false positive increases on AMT PET). 3. Positive pregnancy test (because of radiation involved in PET scanning). |
Country | Name | City | State |
---|---|---|---|
United States | Wayne State University | Detroit | Michigan |
Lead Sponsor | Collaborator |
---|---|
Wayne State University | National Cancer Institute (NCI) |
United States,
Bosnyák E, Kamson DO, Behen ME, Barger GR, Mittal S, Juhász C. Imaging cerebral tryptophan metabolism in brain tumor-associated depression. EJNMMI Res. 2015 Dec;5(1):56. doi: 10.1186/s13550-015-0136-9. Epub 2015 Oct 17. — View Citation
Bosnyák E, Kamson DO, Robinette NL, Barger GR, Mittal S, Juhász C. Tryptophan PET predicts spatial and temporal patterns of post-treatment glioblastoma progression detected by contrast-enhanced MRI. J Neurooncol. 2016 Jan;126(2):317-25. doi: 10.1007/s1106 — View Citation
Bosnyák E, Michelhaugh SK, Klinger NV, Kamson DO, Barger GR, Mittal S, Juhász C. Prognostic Molecular and Imaging Biomarkers in Primary Glioblastoma. Clin Nucl Med. 2017 May;42(5):341-347. doi: 10.1097/RLU.0000000000001577. — View Citation
Guastella AR, Michelhaugh SK, Klinger NV, Fadel HA, Kiousis S, Ali-Fehmi R, Kupsky WJ, Juhász C, Mittal S. Investigation of the aryl hydrocarbon receptor and the intrinsic tumoral component of the kynurenine pathway of tryptophan metabolism in primary bra — View Citation
Jeong JW, Juhász C, Mittal S, Bosnyák E, Kamson DO, Barger GR, Robinette NL, Kupsky WJ, Chugani DC. Multi-modal imaging of tumor cellularity and Tryptophan metabolism in human Gliomas. Cancer Imaging. 2015 Aug 6;15:10. doi: 10.1186/s40644-015-0045-1. — View Citation
Jeong JW, Lee MH, John F, Robinette NL, Amit-Yousif AJ, Barger GR, Mittal S, Juhász C. Feasibility of Multimodal MRI-Based Deep Learning Prediction of High Amino Acid Uptake Regions and Survival in Patients With Glioblastoma. Front Neurol. 2019 Dec 17;10: — View Citation
John F, Bosnyák E, Robinette NL, Amit-Yousif AJ, Barger GR, Shah KD, Michelhaugh SK, Klinger NV, Mittal S, Juhász C. Multimodal imaging-defined subregions in newly diagnosed glioblastoma: impact on overall survival. Neuro Oncol. 2019 Feb 14;21(2):264-273. — View Citation
John F, Michelhaugh SK, Barger GR, Mittal S, Juhász C. Depression and tryptophan metabolism in patients with primary brain tumors: Clinical and molecular imaging correlates. Brain Imaging Behav. 2021 Apr;15(2):974-985. doi: 10.1007/s11682-020-00305-7. — View Citation
John F, Robinette NL, Amit-Yousif AJ, Bosnyák E, Barger GR, Shah KD, Mittal S, Juhász C. Multimodal Imaging of Nonenhancing Glioblastoma Regions. Mol Imaging. 2019 Jan-Dec;18:1536012119885222. doi: 10.1177/1536012119885222. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | In newly diagnosed tumors | Diagnostic accuracy of AMT-PET to differentiate brain tumor types and detect tumor infiltration of the brain. | single time-point | |
Primary | In previously treated tumors | Accuracy of AMT-PET to predict post-treatment progression and differentiate recurrent tumors from radiation-induced changes, as compared to clinical MRI. | single time-point | |
Secondary | Tryptophan metabolism | To evaluate activity of the kynurenine pathway of tryptophan metabolism in resected tumor tissues. | single time-point |
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