It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Background
Patient-derived tumour organoids (PDOs) are highly advanced in vitro models for disease modelling, yet they lack vascularisation. To overcome this shortcoming, organoids can be inoculated onto the chorioallantoic membrane (CAM); the highly vascularised, not innervated extraembryonic membrane of fertilised chicken eggs. Therefore, we aimed to (1) establish a CAM patient-derived xenograft (PDX) model based on PDOs generated from the liver metastasis of a colorectal cancer (CRC) patient and (2) to evaluate the translational pipeline (patient – in vitro PDOs – in vivo CAM-PDX) regarding morphology, histopathology, expression of C-X-C chemokine receptor type 4 (CXCR4), and radiotracer uptake patterns.
Results
The main liver metastasis of the CRC patient exhibited high 2-[18F]FDG uptake and moderate and focal [68Ga]Ga-Pentixafor accumulation in the peripheral part of the metastasis. Inoculation of PDOs derived from this region onto the CAM resulted in large, highly viable, and extensively vascularised xenografts, as demonstrated immunohistochemically and confirmed by high 2-[18F]FDG uptake. The xenografts showed striking histomorphological similarity to the patient’s liver metastasis. The moderate expression of CXCR4 was maintained in ovo and was concordant with the expression levels of the patient’s sample and in vitro PDOs. Following in vitro re-culturing of CAM-PDXs, growth, and [68Ga]Ga-Pentixafor uptake were unaltered compared to PDOs before transplantation onto the CAM. Although [68Ga]Ga-Pentixafor was taken up into CAM-PDXs, the uptake in the baseline and blocking group were comparable and there was only a trend towards blocking.
Conclusions
We successfully established an in vivo CAM-PDX model based on CRC PDOs. The histomorphological features and target protein expression of the original patient’s tissue were mirrored in the in vitro PDOs, and particularly in the in vivo CAM-PDXs. The [68Ga]Ga-Pentixafor uptake patterns were comparable between in vitro, in ovo and clinical data and 2-[18F]FDG was avidly taken up in the patient’s liver metastasis and CAM-PDXs. We thus propose the CAM-PDX model as an alternative in vivo model with promising translational value for CRC patients.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details

1 Medical University of Vienna, Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Vienna, Austria (GRID:grid.22937.3d) (ISNI:0000 0000 9259 8492); Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria (GRID:grid.511291.f)
2 Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria (GRID:grid.511291.f); Medical University of Vienna, Department of Pathology, Vienna, Austria (GRID:grid.22937.3d) (ISNI:0000 0000 9259 8492)
3 Medical University of Vienna, Division of Molecular and Structural Preclinical Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Vienna, Austria (GRID:grid.22937.3d) (ISNI:0000 0000 9259 8492)
4 Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria (GRID:grid.511291.f)
5 Medical University of Vienna, Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Vienna, Austria (GRID:grid.22937.3d) (ISNI:0000 0000 9259 8492)
6 Medical University of Vienna, Division of Visceral Surgery, Department of General Surgery, Vienna, Austria (GRID:grid.22937.3d) (ISNI:0000 0000 9259 8492)
7 Medical University of Vienna, Department of Clinical Pharmacology, Vienna, Austria (GRID:grid.22937.3d) (ISNI:0000 0000 9259 8492)
8 Medical University of Vienna, Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Vienna, Austria (GRID:grid.22937.3d) (ISNI:0000 0000 9259 8492); Christian Doppler Laboratory Applied Metabolomics, Vienna, Austria (GRID:grid.22937.3d)
9 Medical University of Vienna, Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Vienna, Austria (GRID:grid.22937.3d) (ISNI:0000 0000 9259 8492); Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria (GRID:grid.511291.f); University of Vienna, Department for Inorganic Chemistry, Faculty of Chemistry, Vienna, Austria (GRID:grid.10420.37) (ISNI:0000 0001 2286 1424); Joint Applied Medicinal Radiochemistry Facility of the University of Vienna and the Medical University of Vienna, Vienna, Austria (GRID:grid.10420.37) (ISNI:0000 0001 2286 1424)
10 Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria (GRID:grid.511291.f); Medical University of Vienna, Department of Pathology, Vienna, Austria (GRID:grid.22937.3d) (ISNI:0000 0000 9259 8492); Medical University of Vienna, Comprehensive Cancer Center, Vienna, Austria (GRID:grid.22937.3d) (ISNI:0000 0000 9259 8492)
11 Medical University of Vienna, Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Vienna, Austria (GRID:grid.22937.3d) (ISNI:0000 0000 9259 8492); Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria (GRID:grid.511291.f); Joint Applied Medicinal Radiochemistry Facility of the University of Vienna and the Medical University of Vienna, Vienna, Austria (GRID:grid.10420.37) (ISNI:0000 0001 2286 1424)