Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China.
Department of Psychiatry, New York University Langone School of Medicine, One Park Ave, New York, NY, 10016, USA.
Sci Rep. 2019 Jul 26;9(1):10895. doi: 10.1038/s41598-019-47165-w.
As a long non-coding RNA (lncRNA) and a transcriptional regulator, Metastasis associated lung adenocarcioma transcript-1 (MALAT-1) has been reported to be associated with proliferation and metastasis of hepatocellular carcinoma (HCC). However, the effects of MALAT-1 single nucleotide polymorphisms (SNPs) on HCC remains poorly understood. This study, including 624 HCC cases and 618 controls, aimed to explore the potential associations between three common tagSNPs at MALAT-1 and HCC risk in a Southern Chinese population. No significant associations were observed between the three tagSNPs and HCC risk under any genetic models after adjusting for potential confounders. Additionally, there were no any significant associations in the stratified analysis, combined effect analysis, and multifactor dimensionality reduction (MDR) analysis. Unification analysis of mediation and interaction on HCC risk further showed that four decomposition of total effects ((controlled direct effect (CDE), the reference interaction effect (INTref), the mediated interaction effect (INTmed), or the pure indirect effect (PIE)) were also not significant. Neither was the association between the MALAT-1 SNPs and progression factors of HCC, including TNM staging, metastasis, and cancer embolus; Overall, this study suggested that tagSNPs rs11227209, rs619586, and rs3200401 at MALAT-1 were not significantly associated with HCC susceptibility. Nevertheless, large population-based studies are warranted to further explore the role of MALAT-1 SNPs in HCC incidence and development.
作为长链非编码 RNA(lncRNA)和转录调控因子,转移相关肺腺癌转录物 1(MALAT-1)已被报道与肝癌(HCC)的增殖和转移有关。然而,MALAT-1 单核苷酸多态性(SNP)对 HCC 的影响仍知之甚少。本研究包括 624 例 HCC 病例和 618 例对照,旨在探讨南方汉族人群中 MALAT-1 上三个常见标签 SNP 与 HCC 风险之间的潜在关联。在调整了潜在混杂因素后,这三个标签 SNP 与 HCC 风险在任何遗传模型下均无显著相关性。此外,在分层分析、合并效应分析和多因素降维分析(MDR)中也没有任何显著关联。对 HCC 风险的中介和交互作用的统一分析进一步表明,四种总效应的分解(受控直接效应(CDE)、参考交互效应(INTref)、中介交互效应(INTmed)或纯间接效应(PIE))也不显著。MALAT-1 SNP 与 HCC 的进展因素(包括 TNM 分期、转移和癌栓)之间也没有关联;总体而言,本研究表明 MALAT-1 上的标签 SNP rs11227209、rs619586 和 rs3200401 与 HCC 易感性无显著相关性。然而,需要进行大规模的基于人群的研究来进一步探讨 MALAT-1 SNP 在 HCC 发生和发展中的作用。