Imaging Primary Lung Cancers in Mice to Study Radiation Biology
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Jacks_Imaging primary.pdf
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Author(s)
Kirsch, David G.
Grimm, Jan
Guimaraes, Alexander R.
Wojtkiewicz, Gregory R.
Perez, Bradford A.
Santiago, Philip M.
Anthony, Nikolas K.
Forbes, Thomas
Doppke, Karen
Weissleder, Ralph
Date Issued
March 2010
Journal
International Journal of Radiation Oncology*Biology*Physics
Publisher
Elsevier
Citation
Kirsch, David G., Jan Grimm, Alexander R. Guimaraes, Gregory R. Wojtkiewicz, Bradford A. Perez, Philip M. Santiago, Nikolas K. Anthony, et al. “Imaging Primary Lung Cancers in Mice to Study Radiation Biology.” International Journal of Radiation Oncology*Biology*Physics 76, no. 4 (March 2010): 973–977.
Version
Author's final manuscript
Abstract
Purpose
To image a genetically engineered mouse model of non–small-cell lung cancer with micro–computed tomography (micro-CT) to measure tumor response to radiation therapy.
Methods and Materials
The Cre-loxP system was used to generate primary lung cancers in mice with mutation in K-ras alone or in combination with p53 mutation. Mice were serially imaged by micro-CT, and tumor volumes were determined. A comparison of tumor volume by micro-CT and tumor histology was performed. Tumor response to radiation therapy (15.5 Gy) was assessed with micro-CT.
Results
The tumor volume measured with free-breathing micro-CT scans was greater than the volume calculated by histology. Nevertheless, this imaging approach demonstrated that lung cancers with mutant p53 grew more rapidly than lung tumors with wild-type p53 and also showed that radiation therapy increased the doubling time of p53 mutant lung cancers fivefold.
Conclusions
Micro-CT is an effective tool to noninvasively measure the growth of primary lung cancers in genetically engineered mice and assess tumor response to radiation therapy. This imaging approach will be useful to study the radiation biology of lung cancer.
MIT Department
Koch Institute for Integrative Cancer Research at MIT
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Creative Commons Attribution-Noncommercial-NoDerivatives
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DOI of Published Version
https://doi.org/10.1016/j.ijrobp.2009.11.038
