Predicting the response to preoperative radiation or chemoradiation by a microarray analysis of the gene expression profiles in rectal cancer

被引:0
|
作者
Takashi Akiyoshi
Takashi Kobunai
Toshiaki Watanabe
机构
[1] Japanese Foundation for Cancer Research,Gastroenterological Center, Department of Gastroenterological Surgery, Cancer Institute Hospital
[2] Teikyo University School of Medicine,Department of Surgery
[3] The University of Tokyo,Department of Surgical Oncology
来源
Surgery Today | 2012年 / 42卷
关键词
Rectal cancer; Microarray; Radiation; Chemoradiation; Gene expression profile;
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学科分类号
摘要
Preoperative radiotherapy or chemoradiotherapy (CRT) has become a standard treatment for patients with locally advanced rectal cancer. However, there is a wide spectrum of responses to preoperative CRT, ranging from none to complete. There has been intense interest in the identification of molecular biomarkers to predict the response to preoperative CRT, in order to spare potentially non-responsive patients from unnecessary treatment. However, no specific molecular biomarkers have yet been definitively proven to be predictive of the response to CRT. Instead of focusing on specific factors, microarray-based gene expression profiling technology enables the simultaneous analysis of large numbers of genes, and might therefore have immense potential for predicting the response to preoperative CRT. We herein review published studies using a microarray-based analysis to identify gene expression profiles associated with the response of rectal cancer to radiation or CRT. Although some studies have reported gene expression signatures capable of high predictive accuracy, the compositions of these signatures have differed considerably, with little gene overlap. However, considering the promising data regarding gene profiling in breast cancer, the microarray analysis could still have potential to improve the management of locally advanced rectal cancer. Increasing the number of patients analyzed for more accurate prediction and the extensive validation of predictive classifiers in prospective clinical trials are necessary before such profiling can be incorporated into future clinical practice.
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页码:713 / 719
页数:6
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