Year: 2021
Type: article
Abstract: Organoid tumor models have found application in a growing array of cancer studies due to their ability to closely recapitulate the structural and functional characteristics of solid tumors. However, organoids are too small to be compatible with common radiological tools used in oncology clinics. Here, we present a microscopy method to image 18 F-fluorodeoxyglucose in patient-derived tumor organoids with spatial resolution up to 100-fold better than that of clinical positron emission tomography (PET). When combined with brightfield imaging, this metabolic imaging approach functionally mirrors clinical PET/CT scans and provides a quantitative readout of cell glycolysis. In particular, the specific avidity of a tumor for FDG, or lack thereof, was maintained when the tumor cells were grown ex vivo as tumor organoids. In addition, cisplatin treatment caused a dose-dependent decrease in the metabolic activity of these organoids, with the exception of one patient whose tumor was also resistant to cisplatin treatment. Thus, FDG-imaging of organoids could be used to predict the response of individual patients to different treatments and provide a more personalized approach to cancer care.
Source: Nature Communications
Institutions: Stanford Medicine, Stanford University
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $5,560
Awards: G1293048454, G1594719872, G1692178206, Identification of Cooperative Genetic Alterations in the Pathogenesis of Oral Cancer, G1981154945, G2106804487, G2328161403, Quantitative Imaging of Cancer Drug Resistance via Radioluminescence Microarrays, G2637791190, Investigation and Translation of the Intestinal Stem Cell Niche, G3012013914, Modeling Primary Tumor Organoids for lmmunotherapy, G384504889, G4219022214, Functional Analysis of Oncogenic Networks in Primary Organoids, Human Lung Organoid Models of SARS-CoV-2 Infection, G4741720324, G523859069, G634220122, G6879675927, Organoid-based Discovery of Oncogenic Drivers and Treatment Resistance Mechanisms, G8876248541, G9000015428, G9000027027, G9000054125, G9000136162, G9000273506
OpenAlex ID: W3204150754