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Excerpt

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, melanoma xenograft 425362-245-T. 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-425362-245-T) 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: Melanoma (PDMR-425362-245-T)


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

(6 mice were EU due to xenograft size prior to observation of metastasis)


Lung


Kidney

1512, 1516, 1518, 1520

10 (resected)

10

Lung

Kidney, Liver, Pancreas


1506, 1508, 1509, 1510, 1511, 1515, 1517, 1519, 1521, 1523





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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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. 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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Localtab
activetrue
titleData Access

Data Access

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.


Data TypeDownload all or Query/Filter
Images (DICOM, 2.3 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

Standard Operating Procedure 50102 Positron Emission Tomography (PET) imaging protocol


Click the Versions tab for more info about data releases.





Localtab
titleDetailed Description

Detailed Description



Image Statistics


Modalities

MR, SR

Number of Subjects

20

Number of Studies

115

Number of Series

210

Number of Images

3509

Images Size (GB)2.3 GB




   


Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy


Tcia license 4 international


Info
titleData Citation

Tatum, J. L., Kalen, J. D., Jacobs, P. M., Ileva, L. V., Riffle, L. A., Keita, S., Patel, N., Sanders, C., James, A., Difilippantonio, S., Thang, L., Hollingshead, M. G., Phillips, J., Edmondson, E., Evrard, Y., Clunie, D. A., Liu, Y., Smith, K. E., Wagner, U., … Doroshow, J. H. (2020). Imaging characterization of a metastatic patient derived model of melanoma: PDMR-425362-245-T [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2020.7YRS-7J97




Info
titleAcknowledgement

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
titleTCIA 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: https://doi.org/10.1007/s10278-013-9622-7


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Localtab
titleVersions

Version 1 (Current): Updated 2020/05/22


Data TypeDownload all or Query/Filter
Images (DICOM, 2.3 GB)

(Requires NBIA Data Retriever .)

PDMR Patient Specimen (external)
Standard Operating Procedure 50101 MRI T2 Weighted Non-Contrast Protocol Single Mouse Pulmonary Gated and Multi-Mouse Non-Gated

Standard Operating Procedure 50102 Positron Emission Tomography (PET) imaging protocol






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