miR-138-5p在非小细胞肺癌中的表达及临床意义

目的探讨微小RNA-138-5p(miR-138-5p)在非小细胞肺癌(NSCLC)中的表达及临床意义。方法采用实时荧光定量PCR(QPCR)检测102例NSCLC组织和98例癌旁组织中miRNA-138-5p表达,分析miRNA-138-5p表达与NSCLC临床病理特征(性别、年龄、TNM分期、肿瘤直径和淋巴结转移)的关系; Kaplan-Miere法绘制生存曲线,差异行Log-rank检验;Cox回归模型分析影响总生存(OS)的因素。结果 QPCR检测结果显示,NSCLC组织中miR-138-5p表达水平为0. 42±0. 11,显著低于癌旁组织的1. 03±0. 28,差异具有统计学意义(P<0. 05)。miR-138-5p表达与TNM分期、肿瘤直径及淋巴结转移均有关(P<0. 05)。miR-138-5p高表达者的中位OS>36个月,显著高于低表达者的26个月,差异有统计学意义(P<0. 05)。Cox单因素分析显示除miR-138-5p表达外,淋巴结转移、肿瘤直径和TNM分期也与OS有关(P<0. 05)。结论 miR-138-5p在NSCLC中表达下调,其表达与NSCLC发生发展、预后有关,miR-138-5p可作为NSCLC诊断和预后预测新的靶点。

Expression and clinical significance of miRNA-138-5p in non-small cell lung cancer

Objective To investigate the expression and significance of miRNA-138-5p （miR-138-5p） in non-small cell lung cancer （NSCLC）. Methods Real-time fluorescence quantitative PCR （QPCR） was used to detect the expression of miR-138-5p in 102 NSCLC tissues and 98 paracancerous tissues. The relationship between the expression of miR-138-5p and the clinicopathological features of NSCLC （sex， age， TNM stage， tumor size and lymph node metastasis） were analyzed. The survival curve was drawn by Kaplan-Miere method， and the difference was checked by Log-rank test. Cox regression model was used to analyze the factors affecting overall survival（OS）. Results The expression level of miR-138-5p in NSCLC tissues was 0.42±0.11， significantly lower than 1.03 ±0.28 in adjacent tissues （P＜0.05）. The expression of miR-138-5p was correlated with TNM stage， tumor size and lymph node metastasis （P＜0.05）. The median OS of high expression of miR-138-5p was more than 36 months， which was significantly higher than that of low expression of miR-138-5p （P＜0.05）. Cox univariate analysis showed that besides the expression of miR-138-5p， lymph node metastasis， tumor size and TNM stage were also associated with OS （P＜0.05）. Conclusion The expression of miR-138-5p is down-regulated in NSCLC， which is related to the development and prognosis of NSCLC. MiR-138-5p can be used as a new target for diagnosis and prognosis prediction of NSCLC.