Not provided
Not provided
Not provided
| ID | Type | Description | Link |
|---|---|---|---|
| CA123451 | Other Grant/Funding Number | NCI |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| National Cancer Institute (NCI) | NIH |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
If you agree to take part in this research study, you will be asked to have:
1. a PET scan, 2. brief clinical questionnaires, and 3. biochemical studies of blood and tumor tissue. You may also have a second PET scan later, if you undergo therapy (such as surgery and/or brain radiation), to determine if there are PET signs of tumor. Your ability to participate in the study will be based, in part, on the results of the magnetic resonance images (MRI) in your medical chart from earlier clinical procedures. Once we receive the results of the PET scan, these will be compared to the MRI in order to help us analyze whether the tryptophan uptake tells us anything about the type of tumor in your brain. It will take about 3 hours to complete the PET scan; this includes the completion of the questionnaires, preparation and scanning. The actual scanning time will be 70 minutes. If you are a female of child-bearing age, we will need a small urine sample from you before starting the PET scanning procedure to make absolutely sure that you do not have unknown pregnancy for which radiation exposure might be harmful.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Brain Tumors | Patients with newly diagnosed or recurrent brain tumors will be studied. |
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| In newly diagnosed tumors | Diagnostic accuracy of AMT-PET to differentiate brain tumor types and detect tumor infiltration of the brain. | single time-point |
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Tryptophan metabolism | To evaluate activity of the kynurenine pathway of tryptophan metabolism in resected tumor tissues. | single time-point |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Patients with newly diagnosed or recurrent brain tumors will be studied.
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Csaba Juhasz | Wayne State University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Wayne State University | Detroit | Michigan | 48201 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31920928 | Result | Jeong JW, Lee MH, John F, Robinette NL, Amit-Yousif AJ, Barger GR, Mittal S, Juhasz 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;10:1305. doi: 10.3389/fneur.2019.01305. eCollection 2019. | |
| 31736437 | Result |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D001932 | Brain Neoplasms |
| ID | Term |
|---|---|
| D016543 | Central Nervous System Neoplasms |
| D009423 | Nervous System Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
Not provided
Not provided
Not provided
Not provided
Not provided
We will collect and analyze tumor specimens obtained after AMT-PET during tumor resection (if not used for routine histopathology). Various histopathologic features will be studied, e.g., tumor proliferative activity, expression of amino acid transporter as well as enzymes and metabolites of the kynurenine pathway, and these will also be correlated with neuroimaging findings.
| John F, Robinette NL, Amit-Yousif AJ, Bosnyak E, Barger GR, Shah KD, Mittal S, Juhasz C. Multimodal Imaging of Nonenhancing Glioblastoma Regions. Mol Imaging. 2019 Jan-Dec;18:1536012119885222. doi: 10.1177/1536012119885222. |
| 30346623 | Result | John F, Bosnyak E, Robinette NL, Amit-Yousif AJ, Barger GR, Shah KD, Michelhaugh SK, Klinger NV, Mittal S, Juhasz C. Multimodal imaging-defined subregions in newly diagnosed glioblastoma: impact on overall survival. Neuro Oncol. 2019 Feb 14;21(2):264-273. doi: 10.1093/neuonc/noy169. |
| 29667084 | Result | Guastella AR, Michelhaugh SK, Klinger NV, Fadel HA, Kiousis S, Ali-Fehmi R, Kupsky WJ, Juhasz C, Mittal S. Investigation of the aryl hydrocarbon receptor and the intrinsic tumoral component of the kynurenine pathway of tryptophan metabolism in primary brain tumors. J Neurooncol. 2018 Sep;139(2):239-249. doi: 10.1007/s11060-018-2869-6. Epub 2018 Apr 17. |
| 28195901 | Result | Bosnyak E, Michelhaugh SK, Klinger NV, Kamson DO, Barger GR, Mittal S, Juhasz C. Prognostic Molecular and Imaging Biomarkers in Primary Glioblastoma. Clin Nucl Med. 2017 May;42(5):341-347. doi: 10.1097/RLU.0000000000001577. |
| 26514361 | Result | Bosnyak E, Kamson DO, Robinette NL, Barger GR, Mittal S, Juhasz 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/s11060-015-1970-3. Epub 2015 Oct 29. |
| 26475140 | Result | Bosnyak E, Kamson DO, Behen ME, Barger GR, Mittal S, Juhasz 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. |
| 26245742 | Result | Jeong JW, Juhasz C, Mittal S, Bosnyak 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(1):10. doi: 10.1186/s40644-015-0045-1. |
| 32767048 | Result | John F, Michelhaugh SK, Barger GR, Mittal S, Juhasz 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. |
| D001927 |
| Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |