Summary
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| location | https://www.cancerimagingarchive.net/collection/pdmr-292921-168-r/ |
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Pre-clinical animal models of spontaneous metastatic cancer are infrequent; the few that exist are exist are resource intensive because determination of the presence of metastatic disease, metastatic metastatic burden, and response to therapy normally require multiple timed cohorts with animal sacrifice and extensive pathological extensive pathological examination. We identified and characterized a patient derived xenograft model xenograft model with metastatic potential, adenocarcinoma pancreas xenograft 292921-168-R. In this study we performed a detailed imaging 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 cmmm3 size; tumors in the other half were allowed to grow until it was necessary to euthanize them because of tumor size. |
Image RemovedThe 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.
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) | Mouse ID: MRI with pathology confirmation of metastasis |
10 (non-resected) | 4 (5 mice were EU due to xenograft size prior to observation of metastases) | Lung | Lung | 1409, 1410, 1418, 1423 |
10 (resected) | 10 | Lung | Lung, Kidney, Nodes, Peritoneal Wall | 1405, 1407, 1408, 1411, 1413,1415, 1416, 1419, 1420, 1422
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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.
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Plot A |
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PET/CT Characterization of the primary tumor: Baseline PET (SOP
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available below) were performed when tumor reached an approximate 200
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mm3. Average SUVmax values (n=5) were calculated; [
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18F]FDG: 1.3 ± 0.2 and [
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18F]FLT: 2.3 ± 0.6.
Conclusion
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Excellent metastatic model with at least 50% penetrance un-resected and 100% with planned early resection. Metastases are well observed on T2 MRI imaging allowing non-invasive evaluation in treatment trials.
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
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 JanesJames, Lia Thang, Ulrike Wagner, Yanling Liu, PhD, John B. Freymann, and Justin Kirby.
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
PixelMed Publishing – Special Thanks to David A. Clunie, MD
University of Arkansas for Medical Sciences – Special Thanks to Kirk E. Smith
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. Number 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.
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| title | Data Access |
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| | Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever. Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.
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| Images (DICOM, 1.6 GB) |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/61080585/PDMR-292921-168-R.tcia?version=1&modificationDate=1584982370329&api=v2 |
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| url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=PDMR-292921-168-R |
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(Download requires the NBIA Data Retriever) | | Standard Operating Procedure 50101 |
| PDMR Patient Specimen (external) | | SOP50101: MRI T2 Weighted Non-Contrast Protocol: |
Single Single Mouse Pulmonary Gated and Multi-Mouse Non-Gated (pdf, 150 kB) |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/61080585/SOP50101_MRI%20T2%20Weighted%20Non-Contrast%20Protocol_Single%20Mouse%20Pulmonary%20Gated%20and%20Multi-Mouse%20Non-Gated |
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| | | Standard Operating Procedure 50102: Positron Emission Tomography (PET) imaging protocol (pdf, 141 kB) |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/61080585/SOP50102_Positron%20Emission%20Tomography%20%28PET%29%20imaging%20protocol.pdf?version=1&modificationDate=1588105011573&api=v2 |
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| Pdmr additional resources |
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The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data. |
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Modalities | MR, SR | Number of Subjects | 20 | Number of Studies | 89 | Number of Series | 160 | Number of Images | 2657 | | Images Size (GB) | 1.6 GB |
In addition to images, this collection includes Raw Data Storage SOP Class instances with MR Modality, generated by a Philips MR scanner; this data is not useful to anyone without the proprietary software to interpret it. |
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| Add any special restrictions in here. These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:| Tcia limited license policy |
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| Info |
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| 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 |
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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. | | Info |
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| 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 |
TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
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(Download requires the NBIA Data Retriever) |
SOP50101: MRI T2 Weighted Non-Contrast Protocol: Single Mouse Pulmonary Gated and Multi-Mouse Non-Gated |
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