Abstract

Abstract Early stage non-small cell lung cancer (NSCLC) patients can be curatively treated by surgery alone or with adjuvant chemotherapy. However, about half of patients develop recurrence and eventually die of this disease. The purpose of this study is to identify circulating microRNAs (miRNA) as minimally invasive biomarkers for the prognosis of early stage NSCLC that may allow personalized clinical management of early stage NSCLC patients. Using a large series of 171 stage I and II NSCLC Caucasian patients, we screened and validated serum miRNA signatures predictive of recurrence and survival in these patients. We identified six miRNA expression ratios that were associated with recurrence and three miRNA expression ratios that were associated with overall survival. In Receiver Operating Characteristic (ROC) curve analysis, the area under the curve (AUC) for clinical variable-only model was 0.714 for recurrence and 0.678 for survival; however, the AUC increased to 0.878 for recurrence and 0.796 for survival when the miRNA ratio signatures were added to the recurrence and survival models respectively. The patients in the high risk group as defined by the 6 miRNA ratio signature exhibited an approximately 5-fold increased risk of develop recurrence compared with low risk patients. In survival analysis, the death rate increased over 4-fold in the high risk group compared with the low risk group. Our results suggest that the miRNA ratio signatures could serve as prognostic biomarkers for early stage NSCLC. Citation Format: Liren Zhang, Jack A. Roth, Jie Lian, Yuanqing Ye, Jian Gu, Xifeng Wu. Serum microRNA signatures predict recurrence and survival in Caucasian patients with early stage non-small cell lung cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4594. doi:10.1158/1538-7445.AM2015-4594

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call