Medicine College, Altamira University Campus, Federal University of Para, Altamira, PA, Brazil.
Parnaiba Delta Federal University, Parnaiba, PI, Brazil.
Gene. 2023 Jun 15;869:147392. doi: 10.1016/j.gene.2023.147392. Epub 2023 Mar 24.
Hepatocellular carcinoma (HCC) is considered as the second cause of cancer-related deaths worldwide. Genetic variations are associated with HCC risk, an issue that has been the subject of several meta-analyses. However, meta-analyses have an important limitation on the likelihood of false positive data. Henceforth, this study aimed to assess the level of noteworthiness in the meta-analyses by means of a Bayesian approach. A systematic search was performed for meta-analyses with associations between gene polymorphisms and HCC. The calculations for the False-Positive Rate Probability (FPRP) and the Bayesian False Discovery Probability (BFDP) were performed to assess the noteworthiness with a statistical power of 1.2 and 1.5 of Odds Ratio at a prior probability of 10 and 10. The quality of studies was evaluated by the Venice criteria. As additional analyses, the gene-gene and protein-protein networks were designed for these genes and products. As results, we found 33 meta-analytic studies on 45 polymorphisms occurring in 35 genes. A total of 1,280 values for FPRP and BFDP were obtained. Seventy-five for FPRP (5.86%) and 95 for BFDP (14.79%) were noteworthy. In conclusion, the polymorphisms in CCND1, CTLA4, EGF, IL6, IL12A, KIF1B, MDM2, MICA, miR-499, MTHFR, PNPLA3, STAT4, TM6SF2, and XPD genes were considered as noteworthy biomarkers for HCC risk.
肝细胞癌 (HCC) 被认为是全球癌症相关死亡的第二大原因。遗传变异与 HCC 风险相关，这一问题已经成为多项荟萃分析的主题。然而，荟萃分析在假阳性数据的可能性方面存在重要的局限性。因此，本研究旨在通过贝叶斯方法评估荟萃分析的显著性水平。系统地搜索了与基因多态性和 HCC 之间关联的荟萃分析。计算了假阳性率概率 (FPRP) 和贝叶斯假发现概率 (BFDP)，以评估在先验概率为 10 和 10 的情况下，优势比为 1.2 和 1.5 的显著性水平。使用威尼斯标准评估研究质量。作为额外的分析，为这些基因和产物设计了基因-基因和蛋白质-蛋白质网络。结果，我们发现了 33 项关于 35 个基因中 45 个多态性的荟萃分析研究。共获得了 1,280 个 FPRP 和 BFDP 值。FPRP 有 75 个（5.86%）和 BFDP 有 95 个（14.79%）值得注意。总之，CCND1、CTLA4、EGF、IL6、IL12A、KIF1B、MDM2、MICA、miR-499、MTHFR、PNPLA3、STAT4、TM6SF2 和 XPD 基因中的多态性被认为是 HCC 风险的有意义的生物标志物。
