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Cancer Therapy: Preclinical |
Authors' Affiliations: 1 Department of Radiation Oncology, Brain Tumor Center of Wake Forest University, Wake Forest University School of Medicine, Winston-Salem, North Carolina; 2 Biomedical Engineering Group, Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan; and 3 Radiation Oncology Sciences Program, Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
Requests for reprints: David Gius, Radiation Oncology Sciences Program, Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Building 10, B3B69, Bethesda, MD 20892. Phone: 301-496-5457; Fax: 301-480-5439; E-mail. giusd{at}mail.nih.gov.
Purpose: There is a growing awareness that radiation-induced normal tissue injury in late-responding organs, such as the brain, kidney, and lung, involves complex and dynamic responses between multiple cell types that not only lead to targeted cell death but also acute and chronic alterations in cell function. The specific genes involved in the acute and chronic responses of these late-responding normal tissues remain ill defined; understanding these changes is critical to understanding the mechanism of organ damage. As such, the aim of the present study was to identify candidate genes involved in the development of radiation injury in the murine kidney and brain using microarray analysis.
Experimental Design: A multimodality experimental approach combined with a comprehensive expression analysis was done to determine changes in normal murine tissue gene expression at 8 and 24 hours after irradiation.
Results: A comparison of the gene expression patterns in normal mouse kidney and brain was strikingly different. This observation was surprising because it has been long assumed that the changes in irradiation-induced gene expression in normal tissues are preprogrammed genetic changes that are not affected by tissue-specific origin.
Conclusions: This study shows the potential of microarray analysis to identify gene expression changes in irradiated normal tissue cells and suggests how normal cells respond to the damaging effects of ionizing radiation is complex and markedly different in cells of differing origin.
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