MicroRNA signature predicts survival and relapse in lung cancer.
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.
Yu
Sung-Liang
SL
Department of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University College of Medicine, Taipei, Taiwan 100, Republic of China.
Chen
Hsuan-Yu
HY
Chang
Gee-Chen
GC
Chen
Chih-Yi
CY
Chen
Huei-Wen
HW
Singh
Sher
S
Cheng
Chiou-Ling
CL
Yu
Chong-Jen
CJ
Lee
Yung-Chie
YC
Chen
Han-Shiang
HS
Su
Te-Jen
TJ
Chiang
Ching-Cheng
CC
Li
Han-Ni
HN
Hong
Qi-Sheng
QS
Su
Hsin-Yuan
HY
Chen
Chun-Chieh
CC
Chen
Wan-Jiun
WJ
Liu
Chun-Chi
CC
Chan
Wing-Kai
WK
Chen
Wei J
WJ
Li
Ker-Chau
KC
Chen
Jeremy J W
JJ
Yang
Pan-Chyr
PC
D000368:Aged; D002289:Carcinoma, Non-Small-Cell Lung / Q000145:classification / Q000235:genetics* / Q000473:pathology; D015331:Cohort Studies; D018572:Disease-Free Survival; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D053208:Kaplan-Meier Estimate; D008175:Lung Neoplasms / Q000145:classification / Q000175:diagnosis* / Q000235:genetics* / Q000473:pathology; D008297:Male; D035683:MicroRNAs / Q000235:genetics*; D009361:Neoplasm Invasiveness; D009364:Neoplasm Recurrence, Local / Q000235:genetics* / Q000473:pathology*; D009367:Neoplasm Staging; D011379:Prognosis; D012044:Regression Analysis; D015203:Reproducibility of Results
D035683:MicroRNAs