Department of Medical Imaging, Linyi People's Hospital, Linyi, Shandong, China.
Eur Rev Med Pharmacol Sci. 2017 Sep;21(18):4087-4091.
The aim of the present study was to determine the expression levels of long intergenic non-protein coding RNA, regulator of reprogramming (linc-ROR) in non-small-cell lung cancer (NSCLC) patients and to further explore the prognostic value of this lncRNA.
In our investigation, we determined the expression of linc-ROR in human NSCLC tissues and matched normal lung tissues by quantitative Real-time-PCR analysis. Also, correlations between linc-ROR expression and the clinicopathological features were evaluated. Survival curves were plotted using the Kaplan-Meier method and differences in survival rates were analyzed using the log-rank test. Cox regression analyses were performed to explore the effect of linc-ROR as an independent predictor of survival.
We found that linc-ROR had high expression in NSCLC specimens than that in matched adjacent normal lung tissues (p < 0.01). In addition, higher linc-ROR expression levels were positively correlated with advanced TNM stage (p = 0.007), positive distant metastasis (p = 0.001) and LN metastasis (p = 0.011). Furthermore, significantly shorter 5-year overall survival (OS) and disease-free survival (DFS) were observed in patients with higher expression of linc-ROR (both p < 0.001). In a multivariate Cox model, it was found that linc-ROR expression was an independent prognostic factor for both 5-years OS (p = 0.001) and 5-year DFS (p = 0.001) in NSCLC.
Our findings indicate that linc-ROR plays an oncogenic role in NSCLC development and may function as a prognostic and predictive biomarker for NSCLC.
本研究旨在检测长链非编码 RNA，重编程调节因子（linc-ROR）在非小细胞肺癌（NSCLC）患者中的表达水平，并进一步探讨该 lncRNA 的预后价值。
在本研究中，我们通过实时定量 PCR 分析检测了 linc-ROR 在人 NSCLC 组织和配对的正常肺组织中的表达。同时，评估了 linc-ROR 表达与临床病理特征之间的相关性。采用 Kaplan-Meier 法绘制生存曲线，对数秩检验分析生存率差异。采用 Cox 回归分析探讨 linc-ROR 作为独立生存预测因子的作用。
我们发现 linc-ROR 在 NSCLC 标本中的表达高于配对的相邻正常肺组织（p<0.01）。此外，linc-ROR 表达水平越高，与晚期 TNM 分期（p=0.007）、远处转移阳性（p=0.001）和淋巴结转移阳性（p=0.011）呈正相关。此外，linc-ROR 高表达的患者 5 年总生存率（OS）和无病生存率（DFS）显著缩短（均 p<0.001）。在多变量 Cox 模型中，发现 linc-ROR 表达是 NSCLC 5 年 OS（p=0.001）和 5 年 DFS（p=0.001）的独立预后因素。
我们的研究结果表明，linc-ROR 在 NSCLC 发生发展中发挥致癌作用，可能作为 NSCLC 的预后和预测生物标志物。
