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构建 ceRNA 网络以鉴定与非小细胞肺癌相关的 lncRNA 和 mRNA。

Construction of ceRNA network to identify the lncRNA and mRNA related to non-small cell lung cancer.

机构信息

Department of Respiratory and Critical Care Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

Research Unit of Respiratory Disease, Central South University, Changsha, Hunan, China.

出版信息

PLoS One. 2021 Oct 29;16(10):e0259091. doi: 10.1371/journal.pone.0259091. eCollection 2021.

DOI:10.1371/journal.pone.0259091
PMID:34714841
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8555814/
Abstract

BACKGROUND

Non-small cell lung cancer (NSCLC) harms human health, but its pathogenesis remains unclear. We wish to provide more molecular therapeutic targets for NSCLC.

METHODS

The NSCLC tissue and normal tissue samples were screened for genetic comparison in the TCGA database. The predicted lncRNA and mRNA in BEAS2B and A549 cells were detected.

RESULTS

Volcano plot displayed differentially expressed lncRNAs and mRNAs in adjacent tissues and NSCLC tissues. The survival curve showed that the lncRNA and mRNA had a significant impact on the patient's survival. The results of GO term enrichment analysis indicated that mRNA functions were enriched in cell cycle-related pathways. In the ceRNA interaction network, 13 lncRNAs and 20 miRNAs were found to have an interactive relationship. Finally, 3 significantly different lncRNAs (LINC00968, lnc-FAM92A-9 and lnc-PTGFR-1) and 6 mRNAs (CTCFL, KRT5, LY6D, TMEM, GBP6, and TMEM179) with potential therapeutic significance were screened out. And the cell experiment verified our results.

CONCLUSION

We screened out clinically significant 3 lncRNAs and 6 mRNAs involved in the ceRNA network, which were the key to our future research on the treatment of NSCLC.

摘要

背景

非小细胞肺癌(NSCLC)危害人类健康,但发病机制尚不清楚。我们希望为 NSCLC 提供更多的分子治疗靶点。

方法

在 TCGA 数据库中筛选 NSCLC 组织和正常组织样本进行遗传比较。检测 BEAS2B 和 A549 细胞中的预测 lncRNA 和 mRNA。

结果

火山图显示了相邻组织和 NSCLC 组织中差异表达的 lncRNA 和 mRNA。生存曲线表明 lncRNA 和 mRNA 对患者的生存有显著影响。GO 术语富集分析结果表明,mRNA 功能富集在细胞周期相关途径中。在 ceRNA 相互作用网络中,发现 13 个 lncRNA 和 20 个 miRNA 具有相互作用关系。最后,筛选出 3 个具有潜在治疗意义的显著差异的 lncRNA(LINC00968、lnc-FAM92A-9 和 lnc-PTGFR-1)和 6 个 mRNA(CTCFL、KRT5、LY6D、TMEM、GBP6 和 TMEM179)。细胞实验验证了我们的结果。

结论

我们筛选出了 ceRNA 网络中与临床意义相关的 3 个 lncRNA 和 6 个 mRNA,它们是我们未来研究 NSCLC 治疗的关键。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be84/8555814/eec736ba894f/pone.0259091.g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be84/8555814/268e405163c3/pone.0259091.g009.jpg
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