SummaryThis collection consists of magnetic resonance images (MRI) of genetically engineered mouse models (GEMMs) of breast cancer. These images were acquired as part of a Department of Defense (DOD) Breast Cancer Research Program (BCRP) Postdoctoral Award W81XWH-12-1-0307 entitled “Investigating Ductal Carcinoma in Situ Using Noninvasive Imaging of Genetically Engineered Mouse Models
A particular emphasis of this project was to study the earliest stages of breast cancer—preinvasive ductal carcinoma in situ (DCIS)—and to interrogate the underlying genetic events that influence progression into invasive disease. In particular, we focused on the role of perturbed Rb, p53 and BRCA1 functionality and how these pathways, acting alone and in combination, can influence the development and progression of DCIS. GEMMs serve as an excellent model system wherein genetic changes can be controlled and manipulated over time. In vivo MRI is a superb technique for noninvasively tracking and characterizing these microscopic early stage cancers as they develop, change and transition into lethal invasive disease.
For more information, please contact Dr. Sunny Jansen (firstname.lastname@example.org).
- Jansen SA et al, NMR Biomed. 2011 Aug;24(7):880-7.
- Jansen SA et al, Breast Cancer Res. 2009;11(5):R65.
- Jansen SA et al, Radiology. 2009 Nov;253(2):399-406.
- Jansen SA et al, Phys Med Biol. 2008 Oct 7;53(19):5481-93.
- DOD Award: http://oai.dtic.mil/oai/oai?verb=getRecord&metadataPrefix=html&identifier=ADA585341.
Number of Patients
Number of Studies
Number of Series
Number of Images
|Images Size (GB)||8.6|
|Image Data Links||Note|
|Complete Collection||This is the complete collection. Click the data link if this is the first time you are accessing this collection.|
|Click the data link to access all data added to the collection up until Q3 2015|
|Mouse-Mammary_Q4_2015 (TBD)||Click the data link to access all data added to the collection in Q4 2015|
Mouse GBM: A Pilot Collection: Sunny_jansen_NBIA_mouseGBM_update_ICR_508.ppt .
Citation using DOI
We would like to acknowledge the individuals and institutions that have provided data for this collection:
- National Cancer Institute (Frederick, Maryland) - Special thanks to Sunny Jansen, PhD from the Department of Mouse Cancer Genetics Program.