Antony Sharon Benita, Scott Julius Xavier, Nagarthinam Indhumathi, Subramanian Vinodhini, Koshy Teena
Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, India.
Department of Pediatrics Oncology services, Sri Ramachandra Institute of Higher Education and Research, Chennai, India.
Biomark Med. 2025 Jun;19(11):435-449. doi: 10.1080/17520363.2025.2511466. Epub 2025 May 29.
MicroRNA (miRNA) single nucleotide polymorphisms (miRNA-SNPs) have been associated with pediatric acute lymphoblastic leukemia (ALL). However, since the results of these individual studies have been inconsistent, we performed a meta-analysis to help establish a statistical significance for the association between miRNA-SNPs and pediatric ALL risk. We also analyzed whether they confer susceptibility across country-specific studies by using different genetic models.
Articles published from 2001 to 2023 were collected from PubMed and Google Scholar databases. Through MetaGenyo, the association between miRNA- SNPs and pediatric ALL risk was calculated by pooled odds ratio [ORs] and 95% CI. A subgroup analysis of pooled ORs in country-specific studies was also performed.
Based on the inclusion and exclusion criteria, 14 studies were analyzed to extract data on miR146 rs2910164, miR-196a2 rs11614913, miR-612 rs12803915 and mir-499 rs3746444. While the pooled data analysis did not reveal any association, a subgroup analysis demonstrated country-specific differences in allele frequencies of all the four miRNAs in various genetic models, implying ethnicity-based risk.
Our results suggested that miRNA-SNPS can still be considered as a potential risk factor to be explored in more populations.
微小RNA（miRNA）单核苷酸多态性（miRNA-SNPs）已被证明与儿童急性淋巴细胞白血病（ALL）有关。然而，由于这些独立研究的结果并不一致，我们进行了一项荟萃分析，以帮助确定miRNA-SNPs与儿童ALL风险之间关联的统计学显著性。我们还通过使用不同的遗传模型分析了它们在不同国家的研究中是否具有易感性。
从PubMed和谷歌学术数据库中收集2001年至2023年发表的文章。通过MetaGenyo，采用合并比值比[ORs]和95%置信区间（CI）计算miRNA-SNPs与儿童ALL风险之间的关联。还对不同国家研究中的合并ORs进行了亚组分析。
根据纳入和排除标准，对14项研究进行分析，以提取关于miR146 rs2910164、miR-196a2 rs11614913、miR-612 rs12803915和mir-499 rs3746444的数据。虽然汇总数据分析未发现任何关联，但亚组分析表明，在各种遗传模型中，所有这四种miRNA的等位基因频率存在国家特异性差异，这意味着存在基于种族的风险。
我们的结果表明，miRNA-SNPS仍可被视为一个潜在的风险因素，有待在更多人群中进行探索。
