Imaging Primary Lung Cancers in Mice to Study Radiation Biology

David G. Kirsch, Jan Grimm, Alexander R. Guimaraes, Gregory R. Wojtkiewicz, Bradford A. Perez, Philip M. Santiago, Nikolas K. Anthony, Thomas Forbes, Karen Doppke, Ralph Weissleder, Tyler Jacks

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)973-977
Number of pages5
JournalInternational Journal of Radiation Oncology Biology Physics
Volume76
Issue number4
DOIs
StatePublished - Mar 15 2010
Externally publishedYes

Keywords

  • Genetically engineered mouse models of cancer
  • K-Ras
  • Lung cancer
  • Micro-computed tomography
  • p53

ASJC Scopus subject areas

  • Radiation
  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

Fingerprint

Dive into the research topics of 'Imaging Primary Lung Cancers in Mice to Study Radiation Biology'. Together they form a unique fingerprint.

Cite this