Expression of microRNA miR-126 and miR-200c is associated with prognosis in patients with non-small cell lung cancer
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MicroRNAs (miRNAs) are short non-coding RNAs that exert a critical influence on tumorigenesis through post-transcriptional modification and are considered to be potential biomarkers for the diagnosis or prognosis of various cancers. Although several miRNAs have been proposed as relevant biomarkers for non-small cell lung cancer (NSCLC), detailed working mechanisms and validated prognostic significance of these miRNAs remain controversial. In this study, we evaluated expression levels of miRNA-126 (miR-126) and miR-200c in 72 NSCLCs and 30 benign lung tissues by quantitative reverse transcription polymerase chain reaction (qRT-PCR) and analyzed the correlation of miRNA expression with a variety of clinicopathological factors and patient survival. Compared with the benign control group, miR-126 expression was significantly downregulated in NSCLCs (p < 0.001), while miR-200c expression was significantly upregulated in NSCLCs (p < 0.001). The expression of miR-126 was significantly higher in NSCLCs with a tumor size of ≤3 cm than in those with a tumor size of >3 cm (p = 0.026). There were no other significant associations between miRNA expression and clinicopathological features. In univariate survival analysis for all NSCLC patients, high miR-200c expression (p = 0.037), large tumor size (p = 0.026), and lymphovascular invasion (p = 0.012) were significantly correlated with worse overall survival. High miR-126 expression was significantly associated with favorable prognosis only in patients with adenocarcinoma (p = 0.033). In multivariate analysis, miR-200c and tumor size remained as independent prognostic factors. Our results suggest that miR-126 might play tumor-suppressive and miR-200c an oncogenic role, and these miR’s are potential prognostic biomarkers for NSCLC.
KeywordsNon-small cell lung cancer miRNA miR-126 miR-200c Quantitative RT-PCR Prognosis
Conflict of interest
The authors declare that they have no conflict of interest.
- 1.Parkin DM (2001) Global cancer statistics in the year 2000. Lancet Oncol 55:371–377Google Scholar
- 2.Spira A, Ettinger DS (2004) Multidisciplinary management of lung cancer. N Eng J Med 59:225–249Google Scholar
- 25.Landi MT, Zhao Y, Rotunno M, Koshiol J, Liu H, Bergen AW, Rubagotti M, Goldstein AM, Linnoila I, Marincola FM, Tucker MA, Bertazzi PA, Pesatori AC, Caporaso NE, McShane LM, Wang E (2010) MicroRNA expression differentiates histology and predicts survival of lung cancer. Clin Cancer Res 16:430–441PubMedCrossRefPubMedCentralGoogle Scholar
- 26.Yu SL, Chen HY, Chang GC, Chen CY, Chen HW, Singh S, Cheng CL, Yu CJ, Lee YC, Chen HS, Su TJ, Chiang CC, Li HN, Hong QS, Su HY, Chen CC, Chen WJ, Liu CC, Chan WK, Chen WJ, Li KC, Chen JJ, Yang PC (2008) MicroRNA signature predicts survival and relapse in lung cancer. Cancer Cell 13:48–57PubMedCrossRefGoogle Scholar
- 28.Hamano R, Miyata H, Yamasaki M, Kurokawa Y, Hara J, Moon JH, Nakajima K, Takiguchi S, Fujiwara Y, Mori M, Doki Y (2011) Overexpression of miR-200c induces chemoresistance in esophageal cancers mediated through activation of the Akt signaling pathway. Clin Cancer Res 17:3029–3038PubMedCrossRefGoogle Scholar