Department of Clinical Laboratory, The Third Affiliated Hospital of Guangxi University of Chinese Medicine, Liuzhou Traditional Chinese Medical Hospital, The Third Clinical Faculty of Guangxi University of Chinese Medicine, Liuzhou, Guangxi, China.
Department of Gynecology, the Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou Worker's Hospital, Liuzhou, Guangxi, China.
Medicine (Baltimore). 2022 Sep 16;101(37):e30353. doi: 10.1097/MD.0000000000030353.
The present study aimed to conduct a meta-analysis of previously published studies in order to clarify the association of long noncoding RNA (lncRNAs) LINC00673 rs11655237 C> T polymorphism with cancer risk.
Systematic review and meta-analysis.
Electronic databases of PubMed, EMBASE, Web of Science, Cochrane Library, Chinese National Knowledge Infrastructure, and Wanfang Database were used to search relevant studies. Studies published up to October 20, 2019 were included. The included studies were assessed in the following genetic model: allelic model, homozygote model, Heterozygote model, dominant model, recessive model. Data syntheses were conducted using STATA 12.0.
Participants with various types cancers were included.
Odds ratio (ORs) and 95% confidence interval (CIs) were calculated to assess the risk of tumor.
Seven articles including 7 case-control studies, 7423 cases and 11,049 controls were adopted for meta-analysis. Our result demonstrated that LINC00673 rs11655237 C> T was related to the cancer among all model including allelic model (T vs C: pooled OR = 1.24, 95% CI = 1.16-1.41, P < .001), homozygous model (TT vs CC: pooled OR=1.54, 95% CI = 1.36-1.76, P < .001), heterozygous model (CT vs CC: pooled OR=1.24, 95% CI = 1.16-1.32, P < .001), dominant model (CT + TT vs CC: pooled OR=1.28, 95% CI = 1.20-1.36, P < .001) and recessive model (TT vs CT+ CC: pooled OR=1.42, 95% CI = 1.25-1.61, P < .001). Subgroup analysis also demonstrated that polymorphisms at this site also increased the risk of neuroblastoma.
Our results find that rs11655237 contributed to occurrence of cancer in all models in Chinese population.
本研究旨在对已发表的研究进行荟萃分析，以阐明长非编码 RNA（lncRNA）LINC00673 rs11655237 C>T 多态性与癌症风险的关联。
系统评价和荟萃分析。
使用 PubMed、EMBASE、Web of Science、Cochrane 图书馆、中国国家知识基础设施和万方数据库的电子数据库搜索相关研究。纳入截至 2019 年 10 月 20 日发表的研究。纳入的研究采用以下遗传模型进行评估：等位基因模型、纯合子模型、杂合子模型、显性模型、隐性模型。使用 STATA 12.0 进行数据综合。
纳入了各种类型的癌症患者。
计算比值比（ORs）和 95%置信区间（CIs）以评估肿瘤风险。
纳入了 7 项病例对照研究，共 7423 例病例和 11049 例对照，进行了荟萃分析。我们的结果表明，LINC00673 rs11655237 C>T 与所有模型中的癌症相关，包括等位基因模型（T 对 C：汇总 OR=1.24，95%CI=1.16-1.41，P<.001）、纯合子模型（TT 对 CC：汇总 OR=1.54，95%CI=1.36-1.76，P<.001）、杂合子模型（CT 对 CC：汇总 OR=1.24，95%CI=1.16-1.32，P<.001）、显性模型（CT+TT 对 CC：汇总 OR=1.28，95%CI=1.20-1.36，P<.001）和隐性模型（TT 对 CT+CC：汇总 OR=1.42，95%CI=1.25-1.61，P<.001）。亚组分析还表明，该位点的多态性也增加了神经母细胞瘤的风险。
我们的研究结果表明，rs11655237 在中国人群中所有模型中均导致癌症的发生。
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