MicroRNA Signature Predicts Survival and Relapse in Lung Cancer

Sung Liang Yu, Hsuan Yu Chen, Gee Chen Chang, Chih Yi Chen, Huei Wen Chen, Sher Singh, Chiou Ling Cheng, Chong Jen Yu, Yung Chie Lee, Han Shiang Chen, Te Jen Su, Ching Cheng Chiang, Han Ni Li, Qi Sheng Hong, Hsin Yuan Su, Chun Chieh Chen, Wan Jiun Chen, Chun Chi Liu, Wing Kai Chan, Wei J. ChenKer Chau Li, Jeremy J.W. Chen, Pan Chyr Yang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

725 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)48-57
Number of pages10
JournalCancer Cell
Issue number1
Publication statusPublished - 2008 Jan 8



ASJC Scopus subject areas

  • Oncology
  • Cell Biology
  • Cancer Research


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