| Summary: | 碩士 === 國立陽明大學 === 臨床醫學研究所 === 99 === Lung cancer is the leading cause of death in many countries. Non-small cell lung cancer (NSCLC) accounts for more than 85% of all lung cancer cases and adenocarcinoma is the most common subtype of NSCLC. In recent studies, a specific group of patients who are adenocarcinoma histology, females, never-smokers, and East Asian origin showing high response to epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) and resulting in better survival, which latterly was attributed to high prevalence of EGFR mutations. On the other hands, those patients that had been surgically resected in early stage have a high potential (almost 30%) to development distant or local recurrence. Since such specific group of patients developed NSCLC might be associated with the alteration of gene expression, microarray profiling of early stage NSCLC from this group of patients might be suitable to create the model for recurrence prediction. 25 paired adjacent normal-tumor matched tissue samples from female never-smokers of NSCLC were subjected to gene expression profiling by using Affymetrix microarray. Our study has revealed a set of candidate genes by penalized Cox or Logistic model, which could be used to predict risk of recurrence in node-negative stage I NSCLC after surgery. The prioritized gene sets for predicting recurrence were verified by immunohistochemistry (IHC) analysis.
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