Yu Sung-Liang, Chen Hsuan-Yu, Chang Gee-Chen, Chen Chih-Yi, Chen Huei-Wen, Singh Sher, Cheng Chiou-Ling, Yu Chong-Jen, Lee Yung-Chie, Chen Han-Shiang, Su Te-Jen, Chiang Ching-Cheng, Li Han-Ni, Hong Qi-Sheng, Su Hsin-Yuan, Chen Chun-Chieh, Chen Wan-Jiun, Liu Chun-Chi, Chan Wing-Kai, Chen Wei J, Li Ker-Chau, Chen Jeremy J W, Yang Pan-Chyr
Department of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University College of Medicine, Taipei, Taiwan 100, Republic of China.
Cancer Cell. 2008 Jan;13(1):48-57. doi: 10.1016/j.ccr.2007.12.008.
We investigated whether microRNA expression profiles can predict clinical outcome of NSCLC patients. Using real-time RT-PCR, we obtained microRNA expressions in 112 NSCLC patients, which were divided into the training and testing sets. Using Cox regression and risk-score analysis, we identified a five-microRNA signature for the prediction of treatment outcome of NSCLC in the training set. This microRNA signature was validated by the testing set and an independent cohort. Patients with high-risk scores in their microRNA signatures had poor overall and disease-free survivals compared to the low-risk-score patients. This microRNA signature is an independent predictor of the cancer relapse and survival of NSCLC patients.
我们研究了微小RNA表达谱是否能够预测非小细胞肺癌（NSCLC）患者的临床结局。通过实时逆转录聚合酶链反应（RT-PCR），我们获取了112例NSCLC患者的微小RNA表达情况，并将这些患者分为训练集和测试集。利用Cox回归和风险评分分析，我们在训练集中确定了一个由五种微小RNA组成的特征图谱，用于预测NSCLC的治疗结局。该微小RNA特征图谱在测试集和一个独立队列中得到了验证。与低风险评分患者相比，微小RNA特征图谱中风险评分高的患者总生存期和无病生存期较差。这种微小RNA特征图谱是NSCLC患者癌症复发和生存的独立预测指标。
