Molecular gene signature and prognosis of non-small cell lung cancer

Poyin Huang, Chiou Ling Cheng, Ya Hsuan Chang, Chia Hsin Liu, Yi Chiung Hsu, Jin Shing Chen, Gee Chen Chang, Bing Ching Ho, Kang Yi Su, Hsuan Yu Chen, Sung Liang Yu

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


The current staging system for non-small cell lung cancer (NSCLC) is inadequate for predicting outcome. Risk score, a linear combination of the values for the expression of each gene multiplied by a weighting value which was estimated from univariate Cox proportional hazard regression, can be useful. The aim of this study is to analyze survival-related genes with TaqMan Low-Density Array (TLDA) and risk score to explore gene-signature in lung cancer. A total of 96 NSCLC specimens were collected and randomly assigned to a training (n = 48) or a testing cohort (n = 48). A panel of 219 survival-associated genes from published studies were used to develop a 6-gene risk score. The risk score was used to classify patients into high or low-risk signature and survival analysis was performed. Cox models were used to evaluate independent prognostic factors. A 6-gene signature including ABCC4, ADRBK2, KLHL23, PDS5A, UHRF1 and ZNF551 was identified. The risk score in both training (HR = 3.14, 95% CI: 1.14-8.67, p = 0.03) and testing cohorts (HR = 5.42, 95% CI: 1.56-18.84, p = 0.01) was the independent prognostic factor. In merged public datasets including GSE50081, GSE30219, GSE31210, GSE19188, GSE37745, GSE3141 and GSE31908, the risk score (HR = 1.50, 95% CI: 1.25-1.80, p < 0.0001) was also the independent prognostic factor. The risk score generated from expression of a small number of genes did perform well in predicting overall survival and may be useful in routine clinical practice.

Original languageEnglish
Pages (from-to)51898-51907
Number of pages10
Issue number32
StatePublished - 1 Aug 2016


  • Gene signature
  • Non-small cell lung cancer
  • Prognosis
  • Risk score
  • TaqMan Low-Density Array


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