Abstract 5223: Prognostic value of microRNA signature in non-small-cell lung cancer: A microRNA expression analysis

Abstract

Abstract Purpose: MicroRNA (miRNA) plays significant role in the development and progression of cancer. We aimed to identify miRNA signatures to be used as diagnostic and prognostic biomarkers in non-small-cell lung cancer (NSCLC). Experimental Design: Patients with NSCLC who underwent surgical resection and didn't receive any therapy before surgery were randomly divided into training set (198 patients) and test set (199 patients). The miRNA expression levels were detected by microarray and selected miRNAs were verified by quantitative real-time PCR (qRT-PCR). The other 302 patients from another center were used as an independent set to verify the miRNA signature. Results: A 37-miRNA signature consisting of 15 downregulated miRNAs and 22 upregulated miRNAs was established for distinguishing NSCLC specimens from noncancerous lung tissues in the training set with 98.2% accuracy. In the test set, the classification accuracy of the signature was 98.5%. Then three miRNAs were chosen to construct prognostic signature in the training set. A formula based on the 3 miRNAs was built to calculate prognostic index. Kaplan-Meier analysis showed that patients with a high prognostic index had a significant poorer survival than those with a low index. The 3-miRNA signature was validated in test set with the same formula for computing the prognostic index. The expression levels of 4 miRNAs including the 3 miRNA in the prognostic signature were verified by RT-PCR in 33 paired NSCLC and corresponding noncancerous lung tissues. The expression level of the 3 miRNA was detected by qRT-PCR in the independent set. Survival analysis showed that the 3-miRNA signature was associated with survival in the independent set. Multivariate analysis indicated that the 3-miRNA signature was an independent prognostic biomarker. A combination of the 3-miRNA signature and TNM stage had much better prognostic ability than did TNM stage alone in the training, test and independent sets. Conclusions: The 37-miRNA and 3-miRNA signatures identified in our study may be useful biomarkers for diagnosis and prognosis of NSCLC patients. Note: This abstract was not presented at the meeting. Citation Format: Heng-Ying Pu, Da Fu, Mei-Yin Zhang, Yin-Lian Cha, Hai-Shan Peng, Lan-Jun Zhang, Wei-Hua Jia, Yi-Xin Zeng, Wan-Qing Liu, Steven X.F. Zheng, Guo-Hong Hu, Hui-Yun Wang. Prognostic value of microRNA signature in non-small-cell lung cancer: A microRNA expression analysis. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 5223. doi:10.1158/1538-7445.AM2014-5223