Summary
Pre-clinical animal models of spontaneous metastatic cancer are infrequent; the few that exist are resource intensive because determination of the presence of metastatic disease, metastatic burden, and response to therapy normally require multiple timed cohorts with animal sacrifice and extensive pathological examination. We identified and characterized a patient derived xenograft model with metastatic potential, adenocarcinoma pancreas xenograft 292921-168-R. In this study we performed a detailed imaging characterization (workflow below) of this model, which develops spontaneous lung metastases, details are provided in the attached standard operating procedures. Tumors in half of the mice were resected in the range 200-300 cm3 size; tumors in the other half were allowed to grow until it was necessary to euthanize them because of tumor size.
The imaging characteristics of this model (PDMR-292921-168-R), which is available from the National Cancer Institute Patient-Derived Models Repository (https://pdmr.cancer.gov/), is highly favorable for preclinical research studies of metastatic disease when used in conjunction with non-contrast T2 weighted MRI.
Results: Adenocarcinoma pancreas (PDMR-292921-168-R)
Table 1: Penetrance and location of pathological confirmed metastatic lesion(s).
# animals in Group |
# animals that displayed metastasis in MRI and confirmed by Pathology |
Pathology confirmation of MRI (primary imaging site) |
Other confirmed Location (s) |
10 (non-resected) |
4 (5 mice were EU due to xenograft size prior to observation of metastases) |
Lung |
Lung |
10 (resected) |
10 |
Lung |
Lung, Kidney, Nodes, Peritoneal Wall |
Percent penetrance with respect to the average time-to-metastasis for non-resected (plot A: time from implant) and resected (plot B: time from tumor resection) cohorts.
Plot A |
Plot B |
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PET/CT Characterization of the primary tumor: Baseline PET (SOP available below) were performed when tumor reached an approximate 200 mm3. Average SUVmax values (n=5) were calculated; [18F]FDG: 1.3 ± 0.2 and [18F]FLT: 2.3 ± 0.6.
Conclusion
Acknowledgements
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Frederick National Laboratory for Cancer Research – Special Thanks to Joseph D. Kalen, PhD, Lilia V. Ileva, MS, Lisa A Riffle, Nimit Patel, Keita Saito, PhD, Yvonne Evrard, PhD, Elijah Edmondson, DVM, PhD, Jessica Phillips, Simone Difilippantonio, PhD, Chelsea Sanders, Amy Janes, Lia Thang, Ulrike Wagner, Yanling Liu, PhD, John B. Freymann, and Justin Kirby.
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Division of Cancer Therapeutics and Diagnosis/National Cancer Institute - James L. Tatum, MD, Paula M Jacobs, PhD, Melinda G. Hollingshead, DVM, and James H. Doroshow, MD
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PixelMed Publishing – Special Thanks to David A. Clunie, MD
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University of Arkansas for Medical Sciences – Special Thanks to Kirk E. Smith
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This project has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Contract No. HHSN261201500003I. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.
Data Access
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Images (DICOM, 1.6 GB) |
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PDMR Patient Specimen (external) | |
Standard Operating Procedure 50101: MRI T2 Weighted Non-Contrast Protocol: Single Mouse Pulmonary Gated and Multi-Mouse Non-Gated |
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Standard Operating Procedure 50102: Positron Emission Tomography (PET) imaging protocol |
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Detailed Description
Image Statistics |
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Modalities |
MR |
Number of Subjects |
20 |
Number of Studies |
89 |
Number of Series |
160 |
Number of Images |
2657 |
Images Size (GB) | 1.6 GB |
Citations & Data Usage Policy
Users of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution 3.0 Unported License under which it has been published. Attribution should include references to the following citations:
Data Citation
Tatum, J., Kalen, J., Ileva, lilia, L, R., S, K., N, P., Jacobs, P., Sanders, C., A, J., Difilippantonio, S., L, T., hollingshead, melinda, J, P., Y, E., Clunie, D., Y, L., Suloway, C., Smith, K., U, W., … Doroshow, J. (n.d.). Imaging characterization of a metastatic patient derived model of adenocarcinoma pancreas: PDMR-292921-168-R. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2020.PCAK-8Z10
Acknowledgement
This project has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Contract No. HHSN261201500003I. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.
TCIA Citation
Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7
Other Publications Using This Data
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Version 1 (Current): Updated 2020/03/23
Data Type | Download all or Query/Filter |
---|---|
Images (DICOM, 1.6 GB) |
(Requires NBIA Data Retriever .) |
PDMR Patient Specimen (external) | |
SOP50101: MRI T2 Weighted Non-Contrast Protocol: Single Mouse Pulmonary Gated and Multi-Mouse Non-Gated |