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Updated: May 17, 2025
![Dynamic Imaging of Chimeric Antigen Receptor T Cells with [18F]Tetrafluoroborate Positron Emission Tomography/Computed Tomography](/_next/image?url=https%3A%2F%2Fcloudfront.jove.com%2FCDNSource%2Fteasers%2F62334.jpg&w=3840&q=50)
Dynamic Imaging of Chimeric Antigen Receptor T Cells with [18F]Tetrafluoroborate Positron Emission Tomography/Computed Tomography
Published on: February 17, 2022
Bispecific Antibodies and CAR T in Multiple Myeloma: Appropriate Selection of Patients and Sequencing
M Puppi1,2, I Sacchetti1,2, K Mancuso1,2
1IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy.
Abstract:
T-cell redirecting therapies (TCR) marked a step forward in the treatment of relapsed/refractory multiple myeloma (RRMM). These agents, represented by chimeric antigen receptor (CAR) T-cells and bispecific antibodies (BsAbs), proved to ameliorate the prognosis of difficult-to-treat patients in pivotal clinical trials, leading to their introduction into clinical practice. Both strategies rely on recruiting patients' T-cells against specific tumor antigens, with B-cell maturation antigen (BCMA) and G-protein coupled receptor group C family 5 member D (GPRC5D) being the targets most extensively studied. Nevertheless, most of these regimens under the current label do not hesitate in a clear plateau of survival curves, thus raising the scenario of patients receiving more than one TCR agent in sequence. Also, they differ in their toxicity profiles and administration features. Consequently, the appropriate application of these agents mandates a careful selection of the right treatment for the right patient, with the ultimate intent of optimizing patient outcomes. In this respect, practical considerations regarding tumor- and patient-specific features are of high importance. Tailored clinical trials and analysis of real-word experiences are also crucial to produce evidence-based recommendations. Likewise, pre-clinical research is critical for the conceptualization of treatment algorithms potentially driven by immunological clues and knowledge of mechanisms of resistance. In this review we aim at providing practical guidance for defining the most appropriate treatment sequencing and determining the selection of patients for each treatment.
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