Mechanistic Insights for Optimizing PSMA Radioligand Therapy
Aravind S. Ravi Kumar, Michael S. Hofman
Abstract
Abstract PSMA radioligand therapy is a promising new class of therapy for prostate cancer. Heterogeneity of PSMA expression is an important factor explaining variability in clinical results. The ability to visualize the target with theranostics provides unique mechanistic insights. Potential clinically applicable strategies to improve patient selection and optimize therapeutic efficacy are discussed. See related article by Current et al., p. 2946
Topics & Concepts
RadioligandProstate cancerMedicineSelection (genetic algorithm)OncologyCancerComputational biologyBioinformaticsInternal medicineBiologyComputer scienceReceptorArtificial intelligenceProstate Cancer Treatment and ResearchRadiopharmaceutical Chemistry and ApplicationsPeptidase Inhibition and Analysis