Guo Yong, Chen Zhaoli, Zhang Liang, Zhou Fang, Shi Susheng, Feng Xiaoli, Li Baozhong, Meng Xin, Ma Xi, Luo Mingyong, Shao Kang, Li Ning, Qiu Bin, Mitchelson Keith, Cheng Jing, He Jie
Medical Systems Biology Research Center, Tsinghua University, Beijing, China.
Cancer Res. 2008 Jan 1;68(1):26-33. doi: 10.1158/0008-5472.CAN-06-4418.
Esophageal cancer is the sixth leading cause of death from cancer and one of the least studied cancers worldwide. The global microRNA expression profile of esophageal cancer has not been reported previously. Here, for the first time, we have investigated expressed microRNAs in cryopreserved esophageal cancer tissues using advanced microRNA microarray techniques. Our microarray analyses identified seven microRNAs that could distinguish malignant esophageal cancer lesions from adjacent normal tissues. Some microRNAs could be correlated with the different clinicopathologic classifications. High expression of hsa-miR-103/107 correlated with poor survival by univariate analysis as well as by multivariate analysis. These results indicate that microRNA expression profiles are important diagnostic and prognostic markers of esophageal cancer, which might be analyzed simply using economical approaches such as reverse transcription-PCR.
食管癌是全球第六大癌症死因,也是全球研究最少的癌症之一。此前尚未有关于食管癌全球微小RNA表达谱的报道。在此,我们首次使用先进的微小RNA微阵列技术,对冷冻保存的食管癌组织中表达的微小RNA进行了研究。我们的微阵列分析鉴定出七种可区分恶性食管癌病变与相邻正常组织的微小RNA。一些微小RNA可能与不同的临床病理分类相关。通过单变量分析和多变量分析,hsa-miR-103/107的高表达与较差的生存率相关。这些结果表明,微小RNA表达谱是食管癌重要的诊断和预后标志物,可通过逆转录-聚合酶链反应等经济方法进行简单分析。