https://scholars.lib.ntu.edu.tw/handle/123456789/502924
Title: | MicroRNA Signature Predicts Survival and Relapse in Lung Cancer | Authors: | SUNG-LIANG YU HSUAN-YU CHEN Chang G.-C. Chen C.-Y. HUEI-WEN CHEN Singh S. Cheng C.-L. CHONG-JEN YU Lee 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. Liu C.-C. Chan W.-K. WEI J. CHEN Li K.-C. Chen J.J.W. PAN-CHYR YANG |
Issue Date: | 2008 | Journal Volume: | 13 | Journal Issue: | 1 | Start page/Pages: | 48-57 | Source: | Cancer Cell | Abstract: | 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. ? 2008 Elsevier Inc. All rights reserved. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/502924 | ISSN: | 1535-6108 | DOI: | 10.1016/j.ccr.2007.12.008 | SDG/Keyword: | biological 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 process |
Appears in Collections: | 醫學檢驗暨生物技術學系 |
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