Development and In Vivo Evaluation of Small-Molecule Ligands for Positron Emission Tomography of Immune Checkpoint Modulation Targeting Programmed Cell Death 1 Ligand 1.
Karsten BammingerVerena PichlerChrysoula VrakaTanja LimbergerBoryana MonevaKatharina PallitschBarbara LiederAnna Sophia ZacherStefanie PontiKatarína BenčurováJiaye YangSandra HöglerPetra KodajovaLukas KennerMarcus HackerWolfgang WadsakPublished in: Journal of medicinal chemistry (2024)
A substantial portion of patients do not benefit from programmed cell death protein 1/programmed cell death 1 ligand 1 (PD-1/PD-L1) checkpoint inhibition therapies, necessitating a deeper understanding of predictive biomarkers. Immunohistochemistry (IHC) has played a pivotal role in assessing PD-L1 expression, but small-molecule positron emission tomography (PET) tracers could offer a promising avenue to address IHC-associated limitations, i.e., invasiveness and PD-L1 expression heterogeneity. PET tracers would allow for improved quantification of PD-L1 through noninvasive whole-body imaging, thereby enhancing patient stratification. Here, a large series of PD-L1 targeting small molecules were synthesized, leveraging advantageous substructures to achieve exceptionally low nanomolar affinities. Compound 5c emerged as a promising candidate (IC 50 = 10.2 nM) and underwent successful carbon-11 radiolabeling. However, a lack of in vivo tracer uptake in xenografts and notable accumulation in excretory organs was observed, underscoring the challenges encountered in small-molecule PD-L1 PET tracer development. The findings, including structure-activity relationships and in vivo biodistribution data, stand to illuminate the path forward for refining small-molecule PD-L1 PET tracers.
Keyphrases
- positron emission tomography
- small molecule
- computed tomography
- protein protein
- pet imaging
- pet ct
- end stage renal disease
- chronic kidney disease
- ejection fraction
- dna damage
- cancer therapy
- cell cycle
- photodynamic therapy
- big data
- patient reported outcomes
- drug delivery
- electronic health record
- amino acid
- data analysis
- binding protein