Predicting the tumor response to radiotherapy using microarray analysis (Review)

Kazuhiko Ogawa, Sadayuki Murayama, Masaki Mori

Research output: Contribution to journalReview articlepeer-review

39 Citations (Scopus)

Abstract

Predicting the tumor response to radiotherapy is one of the major goals of human cancer treatment. Identification of the genes that are differentially expressed between radiosensitive and radioresistant cancers by global gene analysis may provide new insights into the mechanisms underlying clinical radioresistance and improve the efficacy of radiotherapy. In this study, we reviewed the published reports identifying sets of discriminating genes using microarray analysis that can be used for characterization and the prediction of response to radiotherapy in human cancers. These reports indicate that many of the identified genes were associated with DNA-repair, apoptosis, growth factor, signal transduction, cell cycle and cell adhesion. Several genes were found to be predictors of the radiation response with various cancers and certain sets of identified genes were also found to predict the radiation response by using clustering analysis. Global gene expression profiling of responders and nonresponders can be useful in predicting responses to radiotherapy and may also provide insights into the development of individualized therapies and novel therapeutic targets.

Original languageEnglish
Pages (from-to)1243-1248
Number of pages6
JournalOncology reports
Volume18
Issue number5
DOIs
Publication statusPublished - Nov 2007

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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