The relationship between polymorphism of IGF2BP2 gene rs4402960 and risk of pan-cancer: a meta-analysis and a bioinformatics analysis.

IF 1.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Fengke Lu, Gan Gao, Hongyu Zhang, Wei Zhang
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引用次数: 0

Abstract

Objective: To conduct a meta-analysis and a bioinformatics analysis to assess the relationship between IGF2BP2 gene polymorphism and pan-cancer risk.

Methods: PubMed, EMBASE, and Web of Science were conducted to literature searches. The heterogeneity test was used in five genetic models. Odds ratios (OR), 95% confidence intervals (CI), and p-values were used to evaluate the combined effects of various genetic models. Subgroup analysis and Meta-regression analysis were used to analyze the characteristics of heterogeneity. Sensitivity analysis and publication bias were also performed. Transcriptomic information on IGF2BP2 was downloaded and analyzed from the TCGA and GTEx databases. GEPIA (http://gepia.cancer-pku.cn/) was performed to analyze the relationship between IGF2BP2 expression and cancer tissue.

Results: This meta-analysis contained 7 case-control studies, with 5,908 cases and 7,890 controls. There were significant differences in the heterozygous genetic model of IGF2BP2 gene rs4402960 polymorphism (OR = 1.080, 95% CI = 1.003-1.163, p = 0.041). In subgroup analysis based on ethnicity, There was a statistical significant association in Chinese (heterozygous: OR = 1.110, 95% CI = 1.010-1.220, p = 0.030). Bioinformatics analysis found that IGF2BP2 was over-expressed in pan-cancer (p < 0.01). In addition, the Kaplan-Meier estimate showed that there is statistical significance of OS between the low and high IGF2BP2 TPM groups in Lung adenocarcinoma (p <0.001).

Conclusions: To sum up, IGF2BP2 gene polymorphism may be related to cancer risk. IGF2BP2 has diagnostic value in the diagnosis and treatment of pan-cancer.

IGF2BP2 基因 rs4402960 多态性与泛癌症风险的关系:一项荟萃分析和一项生物信息学分析。
目的进行荟萃分析和生物信息学分析,评估 IGF2BP2 基因多态性与泛癌症风险之间的关系:方法:对PubMed、EMBASE和Web of Science进行文献检索。在五个遗传模型中使用了异质性检验。使用比值比(OR)、95% 置信区间(CI)和 p 值评估各种遗传模型的综合效应。亚组分析和元回归分析用于分析异质性的特征。此外,还进行了敏感性分析和发表偏倚分析。从TCGA和GTEx数据库下载并分析了IGF2BP2的转录组信息。GEPIA(http://gepia.cancer-pku.cn/)用于分析IGF2BP2表达与癌症组织之间的关系:该荟萃分析包含 7 项病例对照研究,其中有 5908 例病例和 7890 例对照。在 IGF2BP2 基因 rs4402960 多态性的杂合遗传模型中,存在明显差异(OR = 1.080,95% CI = 1.003-1.163,p = 0.041)。在基于种族的亚组分析中,中国人(杂合子:OR = 1.110,95% CI = 1.010-1.220,p = 0.030)与该多态性有显著统计学关联。生物信息学分析发现,IGF2BP2 在肺腺癌泛癌(p IGF2BP2 TPM 组)中过度表达(p 结论):综上所述,IGF2BP2 基因多态性可能与癌症风险有关。IGF2BP2 在泛癌症的诊断和治疗中具有诊断价值。
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来源期刊
Nucleosides, Nucleotides & Nucleic Acids
Nucleosides, Nucleotides & Nucleic Acids 生物-生化与分子生物学
CiteScore
2.60
自引率
7.70%
发文量
91
审稿时长
6 months
期刊介绍: Nucleosides, Nucleotides & Nucleic Acids publishes research articles, short notices, and concise, critical reviews of related topics that focus on the chemistry and biology of nucleosides, nucleotides, and nucleic acids. Complete with experimental details, this all-inclusive journal emphasizes the synthesis, biological activities, new and improved synthetic methods, and significant observations related to new compounds.
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