101. MicroRNA signature predicts survival and relapse in lung cancer
- Author
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Chong-Jen Yu, Qi Sheng Hong, Wei J. Chen, Liu Cc, Te Jen Su, Sher Singh, Gee-Chen Chang, Ker-Chau Li, Han Shiang Chen, Huei-Wen Chen, Jeremy J.W. Chen, Hsin Yuan Su, Yung Chie Lee, Chiou Ling Cheng, Wing Kai Chan, Sung-Liang Yu, Wan Jiun Chen, Li Hn, Chih Yi Chen, Hsuan-Yu Chen, Pan-Chyr Yang, Chun Chieh Chen, and Ching Cheng Chiang
- Subjects
Oncology ,Male ,medicine.medical_specialty ,Cancer Research ,Lung Neoplasms ,CELLCYCLE ,Kaplan-Meier Estimate ,Bioinformatics ,Disease-Free Survival ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Carcinoma, Non-Small-Cell Lung ,microRNA ,Carcinoma ,Medicine ,Humans ,Neoplasm Invasiveness ,Lung cancer ,030304 developmental biology ,Aged ,Neoplasm Staging ,0303 health sciences ,Training set ,business.industry ,Proportional hazards model ,Reproducibility of Results ,Cell Biology ,medicine.disease ,Prognosis ,respiratory tract diseases ,3. Good health ,Gene Expression Regulation, Neoplastic ,MicroRNAs ,030220 oncology & carcinogenesis ,Cohort ,Adenocarcinoma ,Regression Analysis ,Female ,Neoplasm Recurrence, Local ,business ,Cohort study - Abstract
SummaryWe 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.
- Published
- 2007