SUNG-LIANG YUHSUAN-YU CHENChang G.-C.Chen C.-Y.HUEI-WEN CHENSingh S.Cheng C.-L.CHONG-JEN YULee Y.-C.Chen H.-S.Su T.-J.Chiang C.-C.Li H.-N.Hong Q.-S.Su H.-Y.Chen C.-C.Chen, W.-J.W.-J.ChenLiu C.-C.Chan W.-K.WEI J. CHENLi K.-C.Chen J.J.W.PAN-CHYR YANG2020-06-172020-06-1720081535-6108https://scholars.lib.ntu.edu.tw/handle/123456789/502924We 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. ? 2008 Elsevier Inc. All rights reserved.[SDGs]SDG3biological marker; microRNA; adult; aged; article; cancer relapse; cancer survival; cohort analysis; controlled study; disease free survival; female; gene expression; human; human tissue; lung cancer; lung non small cell cancer; major clinical study; male; overall survival; prediction; priority journal; prognosis; proportional hazards model; real time polymerase chain reaction; risk assessment; treatment outcome; tumor suppressor gene; validation processjournal article10.1016/j.ccr.2007.12.008181673392-s2.0-37349096992