Systematic review and meta-analysis of the impact of abnormal expression of long non coding RNA on the prognosis of acute myeloid leukemia.

IF 2.8 3区生物学 Q2 GENETICS & HEREDITY Frontiers in Genetics Pub Date : 2025-02-04 eCollection Date: 2025-01-01 DOI:10.3389/fgene.2025.1524449

Guihong Liu, Liangliang Sun, Peng Lv, Rong Qiao, Lihang Wang, Arong Jin

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Abstract

Objective: Long non-coding RNA (lncRNA) is aberrantly expressed in a variety of tumor diseases. To date, its specific role in acute myeloid leukemia (AML) has not been fully elucidated. This study aims to evaluate the association between aberrant lncRNA expression and poor prognosis in AML patients, and to systematically assess the relationship between aberrant lncRNA expression and AML prognosis.

Methods: We conducted a comprehensive literature search in PubMed, Embase, Cochrane Library, CNKI (China National Knowledge Infrastructure), WanFang (China Wanfang Database), VIP (China VIP Database), and Sinomed (China Biomedical Literature Database) to identify relevant Chinese and English articles. The search period covered from the inception of these databases to 4 August 2024. Articles were screened according to predefined inclusion and exclusion criteria, and meta-analysis was performed using Stata.

Results: A total of 25 articles were included in the analysis. Aberrant lncRNA expression was significantly associated with reduced overall survival (univariate HR = 2.46, 95%CI 2.11-2.88, P < 0.001; multivariate HR = 2.46, 95%CI 2.11-2.88, P < 0.001), event-free survival (HR = 1.51, 95%CI 1.19-1.90, P = 0.001), recurrence-free survival (HR = 2.82, 95%CI 2.03-3.91, P < 0.001), and disease-free survival (HR = 2.390, 95%CI 1.037-5.507, P = 0.041). These findings were statistically significant. The 25 articles collectively identified 22 lncRNAs whose aberrant expression was associated with AML prognosis. Notably, multiple studies highlighted the aberrant expression of lncRNA CRNDE, ZEB2-AS1, and TUG1 as being particularly relevant to AML prognosis. Our meta-analysis revealed that high expression of lncRNA CRNDE and TUG1 was associated with reduced overall survival, while high expression of lncRNA ZEB2-AS1 was linked to decreased disease-free survival, both with statistically significant differences.

Conclusion: The expression levels of lncRNAs are closely associated with the prognosis of AML patients and may serve as important indicators for monitoring prognosis in the future. However, further high-quality studies are needed to validate these findings.

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长链非编码RNA异常表达对急性髓性白血病预后影响的系统回顾和荟萃分析。

目的：长链非编码RNA （lncRNA）在多种肿瘤疾病中异常表达。迄今为止，其在急性髓性白血病（AML）中的具体作用尚未完全阐明。本研究旨在评估AML患者lncRNA表达异常与预后不良的关系，系统评估lncRNA表达异常与AML预后的关系。方法：我们在PubMed、Embase、Cochrane Library、CNKI（中国国家知识基础设施）、WanFang（中国万方数据库）、VIP（中国VIP数据库）和Sinomed（中国生物医学文献数据库）中进行了全面的文献检索，以确定相关的中文和英文文章。检索期间从这些数据库开始到2024年8月4日。根据预先确定的纳入和排除标准对文章进行筛选，并使用Stata进行meta分析。结果：共纳入25篇文献。lncRNA表达异常与总生存率降低显著相关(单因素HR = 2.46, 95%CI 2.11-2.88, P < 0.001；多变量HR = 2.46, 95%CI 2.11-2.88, P < 0.001)、无事件生存率（HR = 1.51, 95%CI 1.19-1.90, P = 0.001）、无复发生存率（HR = 2.82, 95%CI 2.03-3.91, P < 0.001）、无疾病生存率（HR = 2.390, 95%CI 1.037-5.507, P = 0.041）。这些发现具有统计学意义。这25篇文章共鉴定出22种lncrna的异常表达与AML预后相关。值得注意的是，多项研究强调lncRNA、CRNDE、ZEB2-AS1和TUG1的异常表达与AML预后特别相关。我们的荟萃分析显示，lncRNA CRNDE和TUG1的高表达与总生存期降低相关，而lncRNA ZEB2-AS1的高表达与无病生存期降低相关，两者差异具有统计学意义。结论：lncrna的表达水平与AML患者的预后密切相关，未来可能作为监测预后的重要指标。然而，需要进一步的高质量研究来验证这些发现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Genetics Biochemistry, Genetics and Molecular Biology-Molecular Medicine

CiteScore

5.50

自引率

8.10%

发文量

3491

审稿时长

14 weeks

期刊介绍： Frontiers in Genetics publishes rigorously peer-reviewed research on genes and genomes relating to all the domains of life, from humans to plants to livestock and other model organisms. Led by an outstanding Editorial Board of the world’s leading experts, this multidisciplinary, open-access journal is at the forefront of communicating cutting-edge research to researchers, academics, clinicians, policy makers and the public. The study of inheritance and the impact of the genome on various biological processes is well documented. However, the majority of discoveries are still to come. A new era is seeing major developments in the function and variability of the genome, the use of genetic and genomic tools and the analysis of the genetic basis of various biological phenomena.