MicroRNA Signature Predicts Survival and Relapse in Lung Cancer
Journal
Cancer Cell
Journal Volume
13
Journal Issue
1
Pages
48-57
Date Issued
2008
Author(s)
HSUAN-YU CHEN
Chang G.-C.
Chen C.-Y.
Singh S.
Cheng C.-L.
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.
Li K.-C.
Chen J.J.W.
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.
SDGs
Other Subjects
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
Type
journal article