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lncRNAs MALAT1、HOTAIR和AFAP1-AS1与肺癌发生淋巴结转移风险相关性的比较荟萃分析

A Comparative Meta-Analysis on the Association of lncRNAs MALAT1, HOTAIR, and AFAP1-AS1 With the Risk of Developing Lymph Node Metastasis in Lung Cancer.

作者信息

Tasnim Anha, Sumaiya Afra Anjum, Noman Abdullah Al, Tahsin Anika, Saba Abdullah Al, Ahmed Rubaiat, Yasmin Tahirah, Nabi A H M Nurun

机构信息

Laboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.

出版信息

Cancer Rep (Hoboken). 2024 Dec;7(12):e70091. doi: 10.1002/cnr2.70091.

DOI:10.1002/cnr2.70091
PMID:39725668
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11671231/
Abstract

BACKGROUND

Numerous studies have demonstrated the significance of long noncoding RNA (lncRNA) in the development of cancer metastasis. The expression levels of many lncRNAs are elevated in metastatic lung cancer patients compared to non-metastatic lung cancer patients.

OBJECTIVES

The primary objective of the study was to investigate the association between the expression levels of three lncRNAs (MALAT1, HOTAIR, and AFAP1-AS1) and lymph node metastasis (LNM) of lung cancer.

METHODS

Cell Press, PubMed, SpringerLink, Web of Science, and Google Scholar were explored to perform the literature search. After screening 1862 articles, 66 English-language articles were selected based on the inclusion and exclusion criteria. From those articles, 17 publications comprising 1622 lung cancer patients were chosen for statistical analyses as well as quality assessment tests.

RESULTS

Forest plot analysis revealed that there was a significant difference in the incidence of LNM between the high and low MALAT1 expression groups (OR = 3.21, 95% CI: 1.34-7.67; random effects model). Significant differences were also observed in the incidence of LNM between patients with high and low HOTAIR expression levels (OR = 4.17, 95% CI: 1.47-11.82; random effects model). The expression level of AFAP1-AS1 was found to be significantly associated with LNM in lung cancer (OR = 2.31, 95% CI: 1.39-3.85, random effects model). Additional analysis from GEPIA and GEO databases revealed that the expression levels of these lncRNAs vary according to the type of tumor tissue, organ of metastasis, and cancer stage. However, these databases show that the result for AFAP1-AS1 is the most aligned with the meta-analysis's findings. Furthermore, several quality assessment tests showed that the AFAP1-AS1 studies are more reliable compared to the studies of other lncRNAs.

CONCLUSION

This study suggested that LNM in lung cancer patients is associated mostly with an elevated AFAP1-AS1 lncRNA level among the pool of three lncRNAs analyzed. Before these results can be implemented in a clinical setting, it is essential to conduct further validation and undertake comprehensive analysis to ensure robustness and reliability.

摘要

背景

众多研究已证明长链非编码RNA（lncRNA）在癌症转移发展中的重要性。与非转移性肺癌患者相比，许多lncRNAs的表达水平在转移性肺癌患者中有所升高。

目的

本研究的主要目的是调查三种lncRNAs（MALAT1、HOTAIR和AFAP1-AS1）的表达水平与肺癌淋巴结转移（LNM）之间的关联。

方法

检索了Cell Press、PubMed、SpringerLink、Web of Science和Google Scholar进行文献搜索。在筛选1862篇文章后，根据纳入和排除标准选择了66篇英文文章。从这些文章中，选择了17篇包含1622例肺癌患者的出版物进行统计分析以及质量评估测试。

结果

森林图分析显示，MALAT1高表达组和低表达组之间LNM的发生率存在显著差异（OR = 3.21，95% CI：1.34 - 7.67；随机效应模型）。在HOTAIR高表达和低表达水平的患者之间，LNM的发生率也观察到显著差异（OR = 4.17，95% CI：1.47 - 11.82；随机效应模型）。发现AFAP1-AS1的表达水平与肺癌中的LNM显著相关（OR = 2.31，95% CI：1.39 - 3.85，随机效应模型）。来自GEPIA和GEO数据库的进一步分析表明，这些lncRNAs的表达水平根据肿瘤组织类型、转移器官和癌症分期而有所不同。然而，这些数据库显示AFAP1-AS1的结果与荟萃分析的结果最一致。此外，一些质量评估测试表明，与其他lncRNAs的研究相比，AFAP1-AS1的研究更可靠。

结论

本研究表明，在分析的三种lncRNAs中，肺癌患者的LNM主要与AFAP1-AS1 lncRNA水平升高有关。在将这些结果应用于临床之前，必须进行进一步的验证并进行全面分析，以确保稳健性和可靠性。

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The combined use of long non-coding RNA HOTAIR and polycomb group protein EZH2 as a prognostic marker of lung adenocarcinoma.长链非编码RNA HOTAIR与多梳蛋白EZH2联合用作肺腺癌的预后标志物。
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