2020
DOI: 10.1371/journal.pone.0229407
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Quantification of fluorophore distribution and therapeutic response in matched in vivo and ex vivo pancreatic cancer model systems

Abstract: Therapeutic resistance plagues cancer outcomes, challenging treatment particularly in aggressive disease. A unique method to decipher drug interactions with their targets and inform therapy is to employ fluorescence-based screening tools; however, to implement productive screening assays, adequate model systems must be developed. Patientderived pancreatic cancer models (e.g., cell culture, patient-derived xenograft mouse models, and organoids) have been traditionally utilized to predict personalized therapeuti… Show more

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Cited by 3 publications
(2 citation statements)
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“…For example, there is a considerable lot-to-lot variability, Matrigel is derived from tumor tissue, and it inherently adds specific physicochemical matrix properties [ 48 ]. Furthermore, it has a significant autofluorescence in the green wavelength range [ 49 , 50 ], rendering its use in marker-specific microscopic analyses less efficient. We compared 3-D cultures made with and without BME and experienced issues of autofluorescence.…”
Section: Discussionmentioning
confidence: 99%
“…For example, there is a considerable lot-to-lot variability, Matrigel is derived from tumor tissue, and it inherently adds specific physicochemical matrix properties [ 48 ]. Furthermore, it has a significant autofluorescence in the green wavelength range [ 49 , 50 ], rendering its use in marker-specific microscopic analyses less efficient. We compared 3-D cultures made with and without BME and experienced issues of autofluorescence.…”
Section: Discussionmentioning
confidence: 99%
“…Such an approach generated a dose response in fluorescence intensity that was significantly higher than PDX mice administered the fluorophore alone (no GEM), though highest levels of drug uptake correlated with areas of necrosis as revealed by tissue morphology. And this methodology can also be applied to other drugs for similar evaluations (106). [ 18 F]-FAC metabolic PET imaging was as effective in measuring GEM uptake as [ 14 C]-GEM in 3 individual PDAC PDX mouse models, demonstrating [ 18 F]-FAC metabolic PET as a solid surrogate of GEM uptake (98).…”
Section: B Metabolismmentioning
confidence: 99%