Abstract

The present most common image diagnostic tracer in clinical practice for glioma is 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) for brain tumors diagnosis and prognosis. PET is a promising molecular imaging technique, which provides real-time information on the metabolic behavior of the tracer. The diffusive nature of glioblastoma (GBM) and heterogeneity often make the radiographic detection by FDG-PET inaccurate, and there is no gold standard. FDG-PET often leads to several controversies in making clinical decisions due to their uptake by normal surrounding tissues, and pose a challenge in delineating treatment-induced necrosis, edema, inflammation, and pseudoprogression. Thus, it is imperative to find new criteria independent of conventional morphological diagnosis to demarcate normal and tumor tissues. We have provided proof of concept studies for 11C methionine-PET (MET-PET) imaging of gliomas, along with prognostic and diagnostic significance. MET-PET is not widely used in the United States, though clinical trials from Japan and Germany suggesting the diagnostic ability of MET-PET imaging are superior to FDG-PET imaging for brain tumors. A major impediment is the availability of the onsite cyclotron and isotopic carbon chemistry facilities. In this article, we have provided the scientific rationale and advantages of the use of MET-PET as GBM tracers. We extend our discussion on the expected pitfalls of using MET-PET and ways to overcome them by incorporating a translational component of profiling gene status in the methionine metabolic pathway. This translational correlative component to the MET-PET clinical trials can lead to a better understanding of the existing controversies and can enhance our knowledge for future randomization of GBM patients based on their tumor gene signatures to achieve better prognosis and treatment outcome.

Highlights

  • The complex nature of high-grade gliomas [glioblastoma (GBM)] makes radiologic detection inaccurate

  • Through metabolic profiling of gliomas, we have shown that glioblastoma (GBM) cells and glioma stem cells (GSCs) accumulate methionine when compared to normal counter parts

  • Cellular uptake studies of methionine in GBM, GSC, and normal human astrocytes (NHAs) show a significant uptake of methionine by GBMs and GSCs when compared to NHA [1]

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Summary

INTRODUCTION

The complex nature of high-grade gliomas [glioblastoma (GBM)] makes radiologic detection inaccurate. It is essential to find new criteria either complementary to or independent of positron emission tomography FDG-PET diagnosis in distinguishing tumor and normal tissues. Through metabolic profiling of gliomas, we have shown that glioblastoma (GBM) cells and glioma stem cells (GSCs) accumulate methionine when compared to normal counter parts. This report provides the scientific foundation for 11C-Methionine-PET (MET-PET) imaging. We offer a rationale for incorporating MET-PET imaging in future large cohorts of brain tumor clinical trials and evaluate its prognostic value over conventional FDG-PET. Methionine uptake by GBM represents a metabolic abnormality that distinguishes cancerous from normal tissues. Though there are a few studies reporting 19F-labeled amino acid and other analogs as tracers for PET imaging, FDG-PET is the widely used imaging modality for brain tumors. We have made a comparison of FDG-PET vs. MET-PET in this article

Methionine Metabolic Regulation and Scientific Rationale from a Biological
Methionine Reliance of Cancer Cells
Methionine As a Tracer for GBM
Key Metabolites in Methionine Pathway
Gene symbol Name
Palanichamy and Chakravarti
Methylenetetrahydrofolate reductase
Spermidine synthase
Phosphorylase Methylthioadenosine phosphorylase
Correlative Markers for Successful
Findings
CONCLUSION
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