Imaging Primary Lung Cancers in Mice to Study Radiation Biology
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...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | en_US |
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Elsevier
2016
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| Online Access: | http://hdl.handle.net/1721.1/101255 https://orcid.org/0000-0001-5785-8911 |
| _version_ | 1811081972222525440 |
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| author | 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 Jacks, Tyler E |
| author2 | Koch Institute for Integrative Cancer Research at MIT |
| author_facet | Koch Institute for Integrative Cancer Research at MIT 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 Jacks, Tyler E |
| author_sort | Kirsch, David G. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:55:20Z |
| format | Article |
| id | mit-1721.1/101255 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:55:20Z |
| publishDate | 2016 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/1012552022-09-27T22:53:39Z Imaging Primary Lung Cancers in Mice to Study Radiation Biology 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 Jacks, Tyler E Koch Institute for Integrative Cancer Research at MIT Kirsch, David G. Santiago, Philip M. Jacks, Tyler E. 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. 2016-02-24T17:11:59Z 2016-02-24T17:11:59Z 2010-03 2009-11 Article http://purl.org/eprint/type/JournalArticle 03603016 http://hdl.handle.net/1721.1/101255 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. https://orcid.org/0000-0001-5785-8911 en_US http://dx.doi.org/10.1016/j.ijrobp.2009.11.038 International Journal of Radiation Oncology*Biology*Physics Creative Commons Attribution-Noncommercial-NoDerivatives http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier PMC |
| spellingShingle | 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 Jacks, Tyler E Imaging Primary Lung Cancers in Mice to Study Radiation Biology |
| title | Imaging Primary Lung Cancers in Mice to Study Radiation Biology |
| title_full | Imaging Primary Lung Cancers in Mice to Study Radiation Biology |
| title_fullStr | Imaging Primary Lung Cancers in Mice to Study Radiation Biology |
| title_full_unstemmed | Imaging Primary Lung Cancers in Mice to Study Radiation Biology |
| title_short | Imaging Primary Lung Cancers in Mice to Study Radiation Biology |
| title_sort | imaging primary lung cancers in mice to study radiation biology |
| url | http://hdl.handle.net/1721.1/101255 https://orcid.org/0000-0001-5785-8911 |
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