Feasibility and utility of MRI and dynamic 18F-FDG-PET in an orthotopic organoid-based patient-derived mouse model of endometrial cancer

Abstract Background Pelvic magnetic resonance imaging (MRI) and whole-body positron emission tomography-computed tomography (PET-CT) play an important role at primary diagnostic work-up and in detecting recurrent disease in endometrial cancer (EC) patients, however the preclinical use of these imagi...

Full description

Bibliographic Details
Main Authors: Heidi Espedal, Hege F. Berg, Tina Fonnes, Kristine E. Fasmer, Camilla Krakstad, Ingfrid S. Haldorsen
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Journal of Translational Medicine
Subjects:
Online Access:https://doi.org/10.1186/s12967-021-03086-9
_version_ 1818736959523127296
author Heidi Espedal
Hege F. Berg
Tina Fonnes
Kristine E. Fasmer
Camilla Krakstad
Ingfrid S. Haldorsen
author_facet Heidi Espedal
Hege F. Berg
Tina Fonnes
Kristine E. Fasmer
Camilla Krakstad
Ingfrid S. Haldorsen
author_sort Heidi Espedal
collection DOAJ
description Abstract Background Pelvic magnetic resonance imaging (MRI) and whole-body positron emission tomography-computed tomography (PET-CT) play an important role at primary diagnostic work-up and in detecting recurrent disease in endometrial cancer (EC) patients, however the preclinical use of these imaging methods is currently limited. We demonstrate the feasibility and utility of MRI and dynamic 18F-fluorodeoxyglucose (FDG)-PET imaging for monitoring tumor progression and assessing chemotherapy response in an orthotopic organoid-based patient-derived xenograft (O-PDX) mouse model of EC. Methods 18 O-PDX mice (grade 3 endometrioid EC, stage IIIC1), selectively underwent weekly T2-weighted MRI (total scans = 32), diffusion-weighted MRI (DWI) (total scans = 9) and dynamic 18F-FDG-PET (total scans = 26) during tumor progression. MRI tumor volumes (vMRI), tumor apparent diffusion coefficient values (ADCmean) and metabolic tumor parameters from 18F-FDG-PET including maximum and mean standard uptake values (SUVmax/SUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG) and metabolic rate of 18F-FDG (MRFDG) were calculated. Further, nine mice were included in a chemotherapy treatment study (treatment; n = 5, controls; n = 4) and tumor ADCmean-values were compared to changes in vMRI and cellular density from histology at endpoint. A Mann–Whitney test was used to evaluate differences between groups. Results Tumors with large tumor volumes (vMRI) had higher metabolic activity (MTV and TLG) in a clear linear relationship (r2 = 0.92 and 0.89, respectively). Non-invasive calculation of MRFDG from dynamic 18F-FDG-PET (mean MRFDG = 0.39 μmol/min) was feasible using an image-derived input function. Treated mice had higher tumor ADCmean (p = 0.03), lower vMRI (p = 0.03) and tumor cellular density (p = 0.02) than non-treated mice, all indicating treatment response. Conclusion Preclinical imaging mirroring clinical imaging methods in EC is highly feasible for monitoring tumor progression and treatment response in the present orthotopic organoid mouse model.
first_indexed 2024-12-18T00:45:26Z
format Article
id doaj.art-57a90b1b7fe143fbad42e1c9ab593474
institution Directory Open Access Journal
issn 1479-5876
language English
last_indexed 2024-12-18T00:45:26Z
publishDate 2021-09-01
publisher BMC
record_format Article
series Journal of Translational Medicine
spelling doaj.art-57a90b1b7fe143fbad42e1c9ab5934742022-12-21T21:26:47ZengBMCJournal of Translational Medicine1479-58762021-09-0119111310.1186/s12967-021-03086-9Feasibility and utility of MRI and dynamic 18F-FDG-PET in an orthotopic organoid-based patient-derived mouse model of endometrial cancerHeidi Espedal0Hege F. Berg1Tina Fonnes2Kristine E. Fasmer3Camilla Krakstad4Ingfrid S. Haldorsen5Department of Clinical Medicine, University of BergenCentre for Cancer Biomarkers, Department of Clinical Science, University of BergenCentre for Cancer Biomarkers, Department of Clinical Science, University of BergenDepartment of Clinical Medicine, University of BergenCentre for Cancer Biomarkers, Department of Clinical Science, University of BergenDepartment of Clinical Medicine, University of BergenAbstract Background Pelvic magnetic resonance imaging (MRI) and whole-body positron emission tomography-computed tomography (PET-CT) play an important role at primary diagnostic work-up and in detecting recurrent disease in endometrial cancer (EC) patients, however the preclinical use of these imaging methods is currently limited. We demonstrate the feasibility and utility of MRI and dynamic 18F-fluorodeoxyglucose (FDG)-PET imaging for monitoring tumor progression and assessing chemotherapy response in an orthotopic organoid-based patient-derived xenograft (O-PDX) mouse model of EC. Methods 18 O-PDX mice (grade 3 endometrioid EC, stage IIIC1), selectively underwent weekly T2-weighted MRI (total scans = 32), diffusion-weighted MRI (DWI) (total scans = 9) and dynamic 18F-FDG-PET (total scans = 26) during tumor progression. MRI tumor volumes (vMRI), tumor apparent diffusion coefficient values (ADCmean) and metabolic tumor parameters from 18F-FDG-PET including maximum and mean standard uptake values (SUVmax/SUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG) and metabolic rate of 18F-FDG (MRFDG) were calculated. Further, nine mice were included in a chemotherapy treatment study (treatment; n = 5, controls; n = 4) and tumor ADCmean-values were compared to changes in vMRI and cellular density from histology at endpoint. A Mann–Whitney test was used to evaluate differences between groups. Results Tumors with large tumor volumes (vMRI) had higher metabolic activity (MTV and TLG) in a clear linear relationship (r2 = 0.92 and 0.89, respectively). Non-invasive calculation of MRFDG from dynamic 18F-FDG-PET (mean MRFDG = 0.39 μmol/min) was feasible using an image-derived input function. Treated mice had higher tumor ADCmean (p = 0.03), lower vMRI (p = 0.03) and tumor cellular density (p = 0.02) than non-treated mice, all indicating treatment response. Conclusion Preclinical imaging mirroring clinical imaging methods in EC is highly feasible for monitoring tumor progression and treatment response in the present orthotopic organoid mouse model.https://doi.org/10.1186/s12967-021-03086-9Preclinical imagingEndometrial cancerOrganoid-PDX modelsDynamic PETTranslational imagingMultimodal imaging
spellingShingle Heidi Espedal
Hege F. Berg
Tina Fonnes
Kristine E. Fasmer
Camilla Krakstad
Ingfrid S. Haldorsen
Feasibility and utility of MRI and dynamic 18F-FDG-PET in an orthotopic organoid-based patient-derived mouse model of endometrial cancer
Journal of Translational Medicine
Preclinical imaging
Endometrial cancer
Organoid-PDX models
Dynamic PET
Translational imaging
Multimodal imaging
title Feasibility and utility of MRI and dynamic 18F-FDG-PET in an orthotopic organoid-based patient-derived mouse model of endometrial cancer
title_full Feasibility and utility of MRI and dynamic 18F-FDG-PET in an orthotopic organoid-based patient-derived mouse model of endometrial cancer
title_fullStr Feasibility and utility of MRI and dynamic 18F-FDG-PET in an orthotopic organoid-based patient-derived mouse model of endometrial cancer
title_full_unstemmed Feasibility and utility of MRI and dynamic 18F-FDG-PET in an orthotopic organoid-based patient-derived mouse model of endometrial cancer
title_short Feasibility and utility of MRI and dynamic 18F-FDG-PET in an orthotopic organoid-based patient-derived mouse model of endometrial cancer
title_sort feasibility and utility of mri and dynamic 18f fdg pet in an orthotopic organoid based patient derived mouse model of endometrial cancer
topic Preclinical imaging
Endometrial cancer
Organoid-PDX models
Dynamic PET
Translational imaging
Multimodal imaging
url https://doi.org/10.1186/s12967-021-03086-9
work_keys_str_mv AT heidiespedal feasibilityandutilityofmrianddynamic18ffdgpetinanorthotopicorganoidbasedpatientderivedmousemodelofendometrialcancer
AT hegefberg feasibilityandutilityofmrianddynamic18ffdgpetinanorthotopicorganoidbasedpatientderivedmousemodelofendometrialcancer
AT tinafonnes feasibilityandutilityofmrianddynamic18ffdgpetinanorthotopicorganoidbasedpatientderivedmousemodelofendometrialcancer
AT kristineefasmer feasibilityandutilityofmrianddynamic18ffdgpetinanorthotopicorganoidbasedpatientderivedmousemodelofendometrialcancer
AT camillakrakstad feasibilityandutilityofmrianddynamic18ffdgpetinanorthotopicorganoidbasedpatientderivedmousemodelofendometrialcancer
AT ingfridshaldorsen feasibilityandutilityofmrianddynamic18ffdgpetinanorthotopicorganoidbasedpatientderivedmousemodelofendometrialcancer