Targeting paraprotein biosynthesis for non-invasive characterization of myeloma biology
Katharina Lückerath1, Constantin Lapa1, Annika Spahmann1
1University Wuerzburg, Medical Center, Department of Nuclear Medicine, Wuerzburg, Germany.
Purpose:
Multiple myeloma is a hematologic malignancy originating from clonal plasma cells. Despite effective therapies, outcomes are highly variable suggesting marked disease heterogeneity. The role of functional imaging for therapeutic management of myeloma, such as positron emission tomography with 2-deoxy-2-[¹⁸F]fluoro-D-glucose (¹⁸F-FDG-PET), remains to be determined. Although some studies already suggested a prognostic value of ¹⁸F-FDG-PET, more specific tracers addressing hallmarks of myeloma biology, e.g. paraprotein biosynthesis, are needed. This study evaluated the amino acid tracers L-methyl-[¹¹C]-methionine (¹¹C-MET) and [¹⁸F]-fluoroethyl-L-tyrosine ((¹⁸F-Fet) for their potential to image myeloma and to characterize tumor heterogeneity.
Experimental Design:
To study the utility of ¹¹C-MET, ¹⁸F-Fet and ¹⁸F-FDG for myeloma imaging, time activity curves were compared in various human myeloma cell lines (INA-6, MM1.S, OPM-2) and correlated to cell-biological characteristics, such as marker gene expression and immunoglobulin levels. Likewise, patient-derived CD138⁺ plasma cells were characterized regarding uptake and biomedical features.
Results:
Using myeloma cell lines and patient-derived CD138⁺ plasma cells, we found that the relative uptake of ¹¹C-MET exceeds that of ¹⁸F-FDG 1.5- to 5-fold and that of ¹⁸F-Fet 7- to 20-fold. Importantly, ¹¹C-MET uptake significantly differed between cell types associated with worse prognosis (e.g. t(4;14) in OPM-2 cells) and indolent ones and correlated with intracellular immunoglobulin light chain and cell surface CD138 and CXCR4 levels. Direct comparison of radiotracer uptake in primary samples further validated the superiority of ¹¹C-MET.
Conclusion:
These data suggest that ¹¹C-MET might be a versatile biomarker for myeloma superior to routine functional imaging with ¹⁸F-FDG regarding diagnosis, risk stratification, prognosis and discrimination of tumor subtypes.
Insights
L-methyl-[¹¹C]-methionine (¹¹C-MET) shows superior uptake in multiple myeloma cells compared to other tracers. This amino acid tracer may improve diagnosis, risk stratification, and prognosis for myeloma patients.
Area of Science:
- Nuclear medicine
- Oncology
- Biomarker development
Background:
- Multiple myeloma is a heterogeneous plasma cell malignancy with variable outcomes.
- Current functional imaging like ¹⁸F-FDG-PET has limitations in assessing myeloma heterogeneity.
- There is a need for novel imaging tracers targeting myeloma-specific biology, such as paraprotein biosynthesis.
Purpose of the Study:
- To evaluate the utility of amino acid tracers L-methyl-[¹¹C]-methionine (¹¹C-MET) and [¹⁸F]-fluoroethyl-L-tyrosine ((¹⁸F-Fet) for multiple myeloma imaging.
- To compare the performance of ¹¹C-MET and ¹⁸F-Fet against ¹⁸F-FDG in characterizing myeloma.
- To assess the potential of these tracers in reflecting myeloma biology and heterogeneity.
Main Methods:
- Comparison of radiotracer uptake (¹¹C-MET, ¹⁸F-Fet, ¹⁸F-FDG) in human myeloma cell lines (INA-6, MM1.S, OPM-2).
- Correlation of tracer uptake with cell-biological characteristics including gene expression and immunoglobulin levels.
- Characterization of tracer uptake in patient-derived CD138⁺ plasma cells.
Main Results:
- ¹¹C-MET demonstrated significantly higher relative uptake (1.5-5x ¹⁸F-FDG, 7-20x ¹⁸F-Fet) in myeloma cells.
- ¹¹C-MET uptake correlated with prognostic markers (e.g., t(4;14)) and levels of intracellular immunoglobulin light chain, CD138, and CXCR4.
- ¹¹C-MET showed superior performance in direct comparisons using primary myeloma samples.
Conclusions:
- ¹¹C-MET is a promising amino acid tracer for multiple myeloma imaging.
- ¹¹C-MET may offer advantages over ¹⁸F-FDG for diagnosis, risk stratification, prognosis, and differentiating myeloma subtypes.
- ¹¹C-MET could serve as a versatile biomarker for assessing myeloma heterogeneity and biology.
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