Kihara C, Tsunoda T, Tanaka T, Yamana H, Furukawa Y, Ono K, Kitahara O, Zembutsu H, Yanagawa R, Hirata K, Takagi T, Nakamura Y
Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan.
Cancer Res. 2001 Sep 1;61(17):6474-9.
We applied cDNA microarray analyses of 9216 genes to establish a genetic method for predicting the outcome of adjuvant chemotherapy to esophageal cancers. We analyzed expression profiles of 20 esophageal cancer tissues from patients who were treated with the same adjuvant chemotherapy after removal of tumor by operation, and we attempted to find genes associated with the duration of survival after surgery. By comparing expression profiles of those cancer tissues, we identified by statistical analysis 52 genes that were likely to be correlated with prognosis and possibly with sensitivity/resistance to the anticancer drugs. We also developed a drug response score based on the differential expression of these genes, and we found a significant correlation between the drug response score and individual patients' prognoses. Our results indicated that this scoring system, based on microarray analysis of selected genes, is likely to have great potential for predicting the prognosis of individual cancer patients with the adjuvant chemotherapy.
我们应用对9216个基因的cDNA微阵列分析来建立一种预测食管癌辅助化疗结果的遗传学方法。我们分析了20例食管癌组织的表达谱，这些患者在手术切除肿瘤后接受了相同的辅助化疗，我们试图找到与术后生存时间相关的基因。通过比较这些癌组织的表达谱，我们通过统计分析鉴定出52个可能与预后以及可能与抗癌药物敏感性/耐药性相关的基因。我们还基于这些基因的差异表达开发了一个药物反应评分，并且我们发现药物反应评分与个体患者的预后之间存在显著相关性。我们的结果表明，这种基于对选定基因进行微阵列分析的评分系统在预测接受辅助化疗的个体癌症患者的预后方面可能具有巨大潜力。
