A Pyropheophorbide Analogue Containing a Fused Methoxy Cyclohexenone Ring System Shows Promising Cancer-Imaging Ability.
Aimee J MarkoMykhaylo DukhNayan J PatelJoseph R MissertTymish OhulchanskyyWalter A TabaczynskiKei OhkuboShunichi FukuzumiRutao YaoMunawwar SajjadRavindra K PandeyPublished in: ChemMedChem (2019)
Herein we report the synthesis, photophysical properties, positron emission tomography (PET) imaging and photodynamic therapy (PDT) efficacy of methyl 3-(1'-m-iodobenzyloxy)ethyl-3-devinyl-verdin 4 (with or without the 124 I isotope). The PET imaging ability and ex vivo biodistribution of [124 I]4 were compared with the well-studied methyl [3-(124 1'-m-iodobenzyloxy)ethyl]-3-devinyl-pyropheophorbide-a methyl ester (PET-ONCO or [124 I]2) and [18 F]fluorodeoxyglucose ([18 F]FDG) in BALB/c mice bearing colon-26 tumors. Whole-body PET images of [124 I]4 containing a fused methoxy cyclohexenone ring system showed excellent tumor contrast with time (72>48>24 h post-injection). Ex vivo biodistribution results indicate that relative to the current clinical standard [18 F]FDG and [124 I]2 in 2 % ethanol formulation, [124 I]4, at the same radioactive dose (25 μCi per mouse), showed higher tumor uptake at 24 h post-injection and longer tumor retention. In biological environments, compound 4 showed lower fluorescence and lower singlet oxygen yield than 2, which is possibly due to higher aggregation caused by the presence of a fused cyclohexenone ring system, resulting in limited in vitro/in vivo PDT efficacy. Therefore, the chlorophyll-a analogue [124 I]4 provides easy access to a novel PET imaging agent (with no skin phototoxicity) to image cancer types-brain, renal carcinomas, pancreas-in which [18 F]FDG shows limitations.
Keyphrases
- pet imaging
- positron emission tomography
- photodynamic therapy
- computed tomography
- pet ct
- papillary thyroid
- squamous cell
- deep learning
- fluorescence imaging
- ionic liquid
- magnetic resonance
- drug delivery
- lymph node metastasis
- type diabetes
- metabolic syndrome
- ultrasound guided
- multiple sclerosis
- energy transfer
- insulin resistance
- white matter
- mass spectrometry
- squamous cell carcinoma
- contrast enhanced
- convolutional neural network
- skeletal muscle
- machine learning
- young adults
- childhood cancer
- wild type