Mass Spectrometry-Based Method for the Determination of the Biodistribution of Tumor-Targeting Small Molecule-Metal Conjugates.
Ettore GilardoniAureliano ZanaAndrea GalbiatiTheo SturmJacopo MillulSamuele CazzamalliDario NeriRiccardo StucchiPublished in: Analytical chemistry (2022)
Nuclear medicine plays a key role in modern diagnosis and cancer therapy. The development of tumor-targeting radionuclide conjugates (also named small molecule-radio conjugates (SMRCs)) represents a significant improvement over the clinical use of metabolic radiotracers (e.g., [ 18 F]-fluorodeoxyglucose) for imaging and over the application of biocidal external beam radiations for therapy. During the discovery of SMRCs, molecular candidates must be carefully evaluated typically by performing biodistribution assays in preclinical tumor models. Quantification methodologies based on radioactive counts are typically demanding due to safety concerns, availability of radioactive materials, and infrastructures. In this article, we report the development of a mass spectrometry (MS)-based method for the detection and quantification of small molecule-metal conjugates (SMMCs) as cold surrogates of SMRCs. We applied this methodology for the evaluation of the biodistribution of a particular class of tumor-targeting drug candidates based on nat Lu, nat Ga, and nat F and directed against fibroblast activation protein (FAP). The reliability of the liquid chromatography-MS (LC-MS) analysis was validated by a direct comparison of MS-based and radioactivity-based biodistribution data. The results show that MS biodistribution of stable isotope metal conjugates is an orthogonal tool for the preclinical characterization of different classes of radiopharmaceuticals.
Keyphrases
- mass spectrometry
- cancer therapy
- small molecule
- liquid chromatography
- drug delivery
- protein protein
- high resolution
- pet imaging
- multiple sclerosis
- capillary electrophoresis
- high resolution mass spectrometry
- high performance liquid chromatography
- gas chromatography
- ms ms
- tandem mass spectrometry
- computed tomography
- positron emission tomography
- high throughput
- cell therapy
- deep learning
- real time pcr
- single molecule
- fluorescence imaging
- smoking cessation
- clinical evaluation
- amino acid