October 5, 2010 – Radiation therapy is used to treat more than half of all cancer cases, but patient response to therapy can vary greatly. Genetics is increasingly being recognized as a significant contributor to inter-individual response to radiation, but the biology underlying response remains poorly understood. In a study published online today in Genome Research (www.genome.org), researchers employed a pharmacogenomics approach to find biomarkers associated with radiation response that could help to more effectively tailor individual cancer treatments in the future.
Response to radiation treatment can range from complete eradication of the tumor to severe adverse reactions in normal tissues that complicate a patient's recovery. Several clinical factors, such as radiation dose and fraction, are known to influence radiation response, but it has recently been estimated that genetic factors may explain nearly 80% of the inter-individual variation of radiation response in normal tissue. If genetic variants and biological mechanisms contributing to radiation response are identified, more personalized treatment strategies could be employed in the clinic.
In this study, researchers led by Liewei Wang of the Mayo Clinic performed a genome-wide association study on 277 ethnically defined human lymphoblastoid cell lines (LCLs) to identify biomarkers for radiation response. Previous studies have found that genetic variation significantly influences gene expression following radiation treatment, however a possible relationship of basal gene expression with radiation response has not been extensively studied until now, and could be key to predicting response. The group integrated several lines of data from the LCLs, including 1.3 million single nucleotide polymorphisms (SNPs), genome-wide gene expression data, and ionizing radiation cytotoxicity phenotypes.
By looking for SNPs and gene expression patterns that associate with a radiation response phenotype, Wang's group narrowed down a list of candidate genes associated with radiation treatment response. To functionally validate the biomarkers, the team tested the associations of a set of the candidate genes in three cancer cell lines. The validation experiments confirmed the expression of five genes as involved in radiation-induced response.
Wang noted that this work not only identifies biomarkers, but also sets the stage for uncovering novel functions of these genes that could ultimately benefit individual patients. "These studies will provide a foundation for future translational studies to individualize radiation therapy based on the expression of these candidate genes," said Wang, "and may make it possible to design novel combination therapy for selected patients based on these biomarkers to overcome resistance."
Scientists from the Mayo Clinic (Rochester, MN) contributed to this study.
This work was supported by the National Institutes of Health, an ASPET-Astellas award, and a Center of Excellence in Clinical Pharmacology Award from the PhRMA Foundation.
The authors are available for more information by contacting Bob Nellis, Senior Communications Consultant at the Mayo Clinic Public Affairs Office (Nellis.Robert@mayo.edu; +1-507-284-5005).
Interested reporters may obtain copies of the manuscript from Peggy Calicchia, Editorial Secretary, Genome Research (email@example.com; +1-516-422-4012).
About the article:
The manuscript will be published online ahead of print on October 5, 2010. Its full citation is as follows: Niu N, Qin Y, Fridley BL, Hou J, Kalari KR, Zhu M, Wu T, Jenkins GD, Batzler A, Wang L. Radiation pharmacogenomics: A genome-wide association approach to identify radiation response biomarkers using human lymphoblastoid cell lines. Genome Res doi:10.1101/gr.107672.110.
About Genome Research:
Launched in 1995, Genome Research (www.genome.org) is an international, continuously published, peer-reviewed journal that focuses on research that provides novel insights into the genome biology of all organisms, including advances in genomic medicine. Among the topics considered by the journal are genome structure and function, comparative genomics, molecular evolution, genome-scale quantitative and population genetics, proteomics, epigenomics, and systems biology. The journal also features exciting gene discoveries and reports of cutting-edge computational biology and high-throughput methodologies.
About Cold Spring Harbor Laboratory Press:
Cold Spring Harbor Laboratory is a private, nonprofit institution in New York that conducts research in cancer and other life sciences and has a variety of educational programs. Its Press, originating in 1933, is the largest of the Laboratory's five education divisions and is a publisher of books, journals, and electronic media for scientists, students, and the general public.
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