Department of Pharmacy, Faculty of Science, 378872Noakhali Science and Technology University, Noakhali, Bangladesh.
Laboratory of Pharmacogenomics and Molecular Biology, Department of Pharmacy, 378872Noakhali Science and Technology University, Noakhali, Bangladesh.
Int J Biol Markers. 2022 Sep;37(3):227-240. doi: 10.1177/03936155221104128. Epub 2022 May 30.
Several genetic association studies have analyzed the link between the catalase () C262T variant and different cancers, but the findings remain controversial. Our research centered on establishing a comprehensive correlation between the C262T variant and different cancers. This study was conducted using RevMan 5.4 software following the PRISMA 2020 guidelines. For this meta-analysis, 53 case-control studies (18,258 cases and 47,476 controls) were chosen. The analysis revealed that three genetic models were statistically linked ( < 0.05) to overall cancer susceptibility in codominant model 2 (COD2): odds ratio (OR) = 1.16, COD3: OR = 1.21, recessive model (RM): OR = 1.20). After stratification by ethnicity, a significant link ( < 0.05) was found in Caucasians (COD2: OR = 1.18, COD3: OR = 1.17, over-dominant model (ODM): OR = 1.19) and Asians (COD3: OR = 1.49). Subgroup analyses revealed a significant correlation ( < 0.05) with blood-and-bone-marrow-related cancer, skin cancer, gastrointestinal-tract-related cancer, prostate cancer, and gynecologic cancer. Three genetic models in population-based controls (COD2: OR = 1.19, COD3: OR = 1.17, RM: OR = 1.19) and two genetic models in hospital-based controls (COD3: OR = 1.40, RM: OR = 1.24) were found to be significantly correlated ( < 0.05) with cancer. Also, three genetic models for polymerase chain reaction-restriction fragment length polymorphism (COD3: OR = 1.46; RM: OR = 1.34, ODM: OR = 0.80) and three models for MALDI-TOF + MassARRAY (COD2: OR = 1.32, RM: OR = 1.26, allele model: OR = 1.14) genotyping methods showed significant association ( < 0.05) with cancer. The meta-regression showed that the quality scores might be a source of significant heterogeneity under the COD2 model (coefficient = 0.176, = 0.029). Trial sequential analysis also validated the adequacy of the sample size on overall findings. Our results indicate that C262T variant is associated with overall cancer susceptibility, especially in Caucasians and Asians. This variant may also be associated with blood-and-bone-marrow-related, GIT-related, prostate, skin, and gynecological cancers.
几项遗传关联研究分析了过氧化氢酶 (CAT) C262T 变体与不同癌症之间的联系，但研究结果仍存在争议。我们的研究集中在建立 CAT C262T 变体与不同癌症之间的综合相关性上。这项研究使用 RevMan 5.4 软件按照 PRISMA 2020 指南进行。对于这项荟萃分析，选择了 53 项病例对照研究（18258 例病例和 47476 例对照）。分析表明，三个遗传模型在共显性模型 2 (COD2) 中与总体癌症易感性具有统计学关联 ( < 0.05)：优势比 (OR) = 1.16，COD3：OR = 1.21，隐性模型 (RM)：OR = 1.20)。按种族分层后，在白种人 (COD2：OR = 1.18，COD3：OR = 1.17，过显性模型 (ODM)：OR = 1.19) 和亚洲人 (COD3：OR = 1.49) 中发现了显著的关联 ( < 0.05)。亚组分析显示与血液和骨髓相关癌症、皮肤癌、胃肠道相关癌症、前列腺癌和妇科癌症有显著相关性 ( < 0.05)。在基于人群的对照中，三个遗传模型 (COD2：OR = 1.19，COD3：OR = 1.17，RM：OR = 1.19) 和在基于医院的对照中，两个遗传模型 (COD3：OR = 1.40，RM：OR = 1.24) 被发现与癌症显著相关 ( < 0.05)。此外，聚合酶链反应-限制性片段长度多态性的三个遗传模型 (COD3：OR = 1.46；RM：OR = 1.34，ODM：OR = 0.80) 和基质辅助激光解吸电离飞行时间 + 质谱 (MALDI-TOF + MassARRAY) 的三个模型 (COD2：OR = 1.32，RM：OR = 1.26，等位基因模型：OR = 1.14) 显示与癌症显著相关 ( < 0.05)。荟萃回归表明 COD2 模型下质量评分可能是显著异质性的来源 (系数 = 0.176， = 0.029)。试验序贯分析也验证了总体发现的样本量是否充足。我们的研究结果表明，CAT C262T 变体与总体癌症易感性相关，特别是在白种人和亚洲人中。该变体还可能与血液和骨髓相关、胃肠道相关、前列腺、皮肤和妇科癌症相关。
