分析 microRNA(miRNA)表达谱揭示了与非小细胞肺癌相关的 11 个关键生物标志物。

Analysis of microRNA (miRNA) expression profiles reveals 11 key biomarkers associated with non-small cell lung cancer.

机构信息

Department of Clinical Medicine, Xi'an Medical University, Shaanxi Research Center of Respiratory Diseases Prevention and Diagnosis and Treatment, Xi'an City, Shaanxi Province, 710021, China.

Department of Respiratory, First Affiliated Hospital of Xi'an Medical University, Shaanxi Research Center of Respiratory Diseases Prevention & Diagnosis and Treatment, Xi'an City, Shaanxi Province, China.

出版信息

World J Surg Oncol. 2017 Sep 19;15(1):175. doi: 10.1186/s12957-017-1244-y.

Abstract

BACKGROUND

Non-small cell lung cancer (NSCLC) accounts for more than 85% of lung cancer cases which cause most of cancer-related deaths globally. However, the results vary largely in different studies due to different platforms and sample sizes. Here, we aim to identify the key miRNAs in the carcinogenesis of NSCLC that might be potential biomarkers for this cancer.

METHODS

Meta-analysis was performed on miRNA profile using seven datasets of NSCLC studies. Furthermore, we predicted and investigated the functions of genes regulated by key miRNAs.

RESULTS

Eleven key miRNAs were identified, including 2 significantly upregulated ones (hsa-miR-21-5p and hsa-miR-233-3p) and 9 downregulated ones (hsa-miR-126-3p, hsa-miR-133a-3p, hsa-miR-140-5p, hsa-miR-143-5p, hsa-miR-145-5p, hsa-miR-30a-5p, hsa-miR-30d-3p, hsa-miR-328-3pn, and hsa-miR-451). The functional enrichment analysis revealed that both up- and downregulated miRNAs were proportionally associated with regulation of transcription from RNA polymerase II promoter. According to transcription factor analysis, there were 65 (43.9%) transcription factors influenced by both up- and downregulated miRNAs.

CONCLUSIONS

In this study, 11 meta-signature miRNAs, as well as their target genes and transcription factors, were found to play significant role in carcinogenesis of NSCLC. These target genes identified in our study may be profitable to diagnosis and prognostic prediction of NSCLC as biomarkers.

摘要

背景

非小细胞肺癌(NSCLC)占肺癌病例的 85%以上,导致了全球大部分癌症相关死亡。然而,由于不同的平台和样本量,不同研究的结果差异很大。在这里,我们旨在确定 NSCLC 发生过程中的关键 miRNA,这些 miRNA 可能是这种癌症的潜在生物标志物。

方法

使用 NSCLC 研究的七个数据集进行 miRNA 谱的荟萃分析。此外,我们预测和研究了受关键 miRNA 调节的基因的功能。

结果

确定了 11 个关键 miRNA,包括 2 个显著上调的 miRNA(hsa-miR-21-5p 和 hsa-miR-233-3p)和 9 个下调的 miRNA(hsa-miR-126-3p、hsa-miR-133a-3p、hsa-miR-140-5p、hsa-miR-143-5p、hsa-miR-145-5p、hsa-miR-30a-5p、hsa-miR-30d-3p、hsa-miR-328-3pn 和 hsa-miR-451)。功能富集分析表明,上调和下调的 miRNA 都与 RNA 聚合酶 II 启动子转录的调节呈比例相关。根据转录因子分析,有 65 个(43.9%)转录因子受到上调和下调 miRNA 的共同影响。

结论

在这项研究中,发现了 11 个元特征 miRNA,以及它们的靶基因和转录因子,在 NSCLC 的发生中起着重要作用。我们在这项研究中鉴定的这些靶基因可能作为生物标志物有助于 NSCLC 的诊断和预后预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/655a/5606074/6e6827f42a94/12957_2017_1244_Fig1_HTML.jpg

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