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...
Main Authors: | , , , , , |
---|---|
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 |