Anti‐BCMA Immuno‐NanoPET Radiotracers for Improved Detection of Multiple Myeloma
Name
adhm.202101565.pdf
Description
Published version
Size
1.3 MB
Format
Adobe PDF
Checksum (MD5)
6f37fefff9dbce3e241a2d7dd477a332
Author(s)
Thomas, Eloise
Mathieu, Clélia
Moreno‐Gaona, Patricia
Mittelheisser, Vincent
Lux, François
Tillement, Olivier
Pivot, Xavier
Ghoroghchian, Paiman Peter
Detappe, Alexandre
Date Issued
January 2022
Journal
Advanced Healthcare Materials
Publisher
Wiley
Citation
Thomas, Eloise, Mathieu, Clélia, Moreno‐Gaona, Patricia, Mittelheisser, Vincent, Lux, François et al. 2022. "Anti‐BCMA Immuno‐NanoPET Radiotracers for Improved Detection of Multiple Myeloma." Advanced Healthcare Materials, 11 (2).
Version
Final published version
Abstract
Current clinical imaging modalities for the sensitive and specific detection of multiple myeloma (MM) rely on nonspecific imaging contrast agents based on gadolinium chelates for magnetic resonance imaging (MRI) or for 18 F-FDG-directed and combined positron emission tomography (PET) and computed tomography (CT) scans. These tracers are not, however, able to detect minute plasma cell populations in the tumor niche, leading to false negative results. Here, a novel PET-based anti-BCMA nanoplatform labeled with 64 Cu is developed to improve the monitoring of these cells in both the spine and femur and to compare its sensitivity and specificity to more conventional immunoPET (64 Cu labeled anti-BCMA antibody) and passively targeted PET radiotracers (64 CuCl2 and 18 F-FDG). This proof-of-concept preclinical study confirmed that by conjugating up to four times more radioisotopes per antibody with the immuno-nanoPET platform, an improvement in the sensitivity and in the specificity of PET to detect tumor cells in an orthotopic model of MM is observed when compared to the traditional immunoPET approach. It is anticipated that when combined with tumor biopsy, this immuno-nanoPET platform may improve the management of patients with MM.
MIT Department
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1002/adhm.202101565
