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miR-133a 表达对非小细胞肺癌的预后价值及其临床病理意义:基于荟萃分析和 TCGA 数据库的综合研究。

Prognostic Value of microRNA-133a Expression and Its Clinicopathologic Significance in Non-Small Cell Lung Cancer: A Comprehensive Study Based on Meta-Analysis and the TCGA Database.

出版信息

Oncol Res Treat. 2018;41(12):762-768. doi: 10.1159/000492343. Epub 2018 Nov 21.

DOI:10.1159/000492343
PMID:30458455
Abstract

BACKGROUND

The role of microRNA-133a (miR-133a) in non-small cell lung cancers (NSCLCs) is controversial. Thus, we conducted a comprehensive study based on meta-analysis and The Cancer Genome Atlas (TCGA) database.

METHODS

Publications were searched in both English and Chinese databases, and meta-analysis was performed using Stata 12.0. The clinical value of miR-133a in NSCLC was investigated by collecting and calculating data from the TCGA database, and the statistical analysis was performed in R 3.5.0.

RESULTS

5 studies with 364 cases were included in this meta-analysis. The combined pooled result showed that high expression of miR-133a was associated with a favorable survival outcome in NSCLC patients (hazard ratio 0.561, 95% confidence interval 0.396-0.794, p = 0.001). Meanwhile, a total of 984 NSCLC patients were extracted from the TCGA database. Results showed an area under the ROC curve value for miR-133a-3p of 0.902, and the expression of miR-133a-3p was linked with clinicopathologic parameters of NSCLC (p < 0.05), including sex, age, social status, and lymph node metastasis.

CONCLUSION

Our study indicated that miR-133a might act as a tumor suppressor and be a valuable independent prognostic and diagnostic biomarker for NSCLC, and NSCLC patients with high expression of miR-133 might have a better prognosis.

摘要

背景

微小 RNA-133a(miR-133a)在非小细胞肺癌(NSCLC)中的作用存在争议。因此,我们基于荟萃分析和癌症基因组图谱(TCGA)数据库进行了全面研究。

方法

在中英文数据库中进行了文献检索,并使用 Stata 12.0 进行荟萃分析。通过从 TCGA 数据库中收集和计算数据,研究 miR-133a 在 NSCLC 中的临床价值,并在 R 3.5.0 中进行统计分析。

结果

该荟萃分析纳入了 5 项研究共 364 例患者。合并后的汇总结果表明,miR-133a 高表达与 NSCLC 患者的生存结局良好相关(风险比 0.561,95%置信区间 0.396-0.794,p = 0.001)。同时,从 TCGA 数据库中提取了 984 例 NSCLC 患者。结果显示 miR-133a-3p 的 ROC 曲线下面积值为 0.902,miR-133a-3p 的表达与 NSCLC 的临床病理参数相关(p < 0.05),包括性别、年龄、社会地位和淋巴结转移。

结论

本研究表明,miR-133a 可能作为一种肿瘤抑制因子发挥作用,是 NSCLC 有价值的独立预后和诊断生物标志物,miR-133a 高表达的 NSCLC 患者可能具有更好的预后。

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