lncrna MALAT1、HOTAIR和AFAP1-AS1与肺癌淋巴结转移风险相关性的比较meta分析

IF 1.5 Q4 ONCOLOGY
Cancer reports Pub Date : 2024-12-26 DOI:10.1002/cnr2.70091
Anha Tasnim, Afra Anjum Sumaiya, Abdullah Al Noman, Anika Tahsin, Abdullah Al Saba, Rubaiat Ahmed, Tahirah Yasmin, A. H. M. Nurun Nabi
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引用次数: 0

摘要

背景:大量研究已经证实长链非编码RNA (lncRNA)在肿瘤转移过程中的重要作用。与非转移性肺癌患者相比,许多lncrna在转移性肺癌患者中的表达水平升高。目的:本研究的主要目的是探讨三种lncRNAs (MALAT1、HOTAIR和AFAP1-AS1)的表达水平与肺癌淋巴结转移(LNM)之间的关系。方法:利用Cell Press、PubMed、SpringerLink、Web of Science、谷歌Scholar等数据库进行文献检索。在对1862篇文章进行筛选后,根据纳入和排除标准筛选出66篇英文文章。从这些文章中,选择了17份出版物,包括1622名肺癌患者,进行统计分析和质量评估测试。结果:森林样图分析显示,MALAT1高表达组和低表达组之间LNM的发生率有显著差异(OR = 3.21, 95% CI: 1.34-7.67;随机效应模型)。HOTAIR高表达水平和低表达水平患者的LNM发生率也有显著差异(OR = 4.17, 95% CI: 1.47-11.82;随机效应模型)。AFAP1-AS1表达水平与肺癌LNM有显著相关性(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显示,这些lncrna的表达水平根据肿瘤组织类型、转移器官和癌症分期而变化。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,一些质量评估试验表明,与其他lncrna的研究相比,AFAP1-AS1的研究更可靠。结论:本研究提示,在分析的3种lncRNA中,肺癌患者LNM主要与AFAP1-AS1 lncRNA水平升高相关。在这些结果可以在临床环境中实施之前,有必要进行进一步的验证并进行全面的分析,以确保稳健性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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.

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来源期刊
Cancer reports
Cancer reports Medicine-Oncology
CiteScore
2.70
自引率
5.90%
发文量
160
审稿时长
17 weeks
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