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, 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 mm3 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.



Plot A

Plot B


PET/CT Characterization of the primary tumor:  Baseline PET (SOP attached) were performed when tumor reached an approximate 200 mm3.   Average SUVmax values (n=5) were calculated; [18F]FDG: 2.7 ± 0.5 and [18F]FLT: 2.0 ± 0.3.

Conclusion:

Melanoma PDMR-425362-245-T model can be challenging due to the rapid growth of the xenograft and regrowth.  Metastases was 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:



Data Access

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





  

(Download requires NBIA Data Retriever)


Tracking spreadsheet for PDMR-425362-245-T (XLSX, 40 kB)




SR Conversion Routine (zip, 9 kB)

(Converts a tracking spreadsheet into a DICOM Structured Report) 




Standard Operating Procedure 50101 MRI T2 Weighted Non-Contrast Protocol Single Mouse Pulmonary Gated and Multi-Mouse Non-Gated (pdf, 133 kB)




Standard Operating Procedure 50102 Positron Emission Tomography (PET) imaging protocol (pdf, 140 kB)




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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


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.


   


Citations & Data Usage Policy

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


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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Version 2 (Current): Updated 2021/02/17

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

 




  

(Download requires NBIA Data Retriever)

Tracking spreadsheet for PDMR-425362-245-T




SR Conversion Routine (Converts a tracking spreadsheet into a DICOM Structured Report)




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




Added two supplementary files: 1) an example tracking spreadsheet for multi-cohort murine studies and 2) an SR Conversion Routine to convert the tracking spreadsheet parameters into a DICOM Structured Report (SR).

Version 1: Updated 2020/05/22

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





  

(Download requires the NBIA Data Retriever)

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