Division of Molecular Diagnostics, National Institute of Cancer Prevention and Research (NICPR)ICMR, I-7, Sector-39, Noida, Gautam Buddha Nagar, Uttar Pradesh 201301, India
Data Management Laboratory, National Institute of Cancer Prevention and Research (NICPR)ICMR, I-7, Sector-39, Noida, Gautam Buddha Nagar, Uttar Pradesh 201301, India.
Biosci Rep. 2018 Nov 30;38(6). doi: 10.1042/BSR20180694. Print 2018 Dec 21.
Association between Cyclin D1 (CCND1) single nucleotide polymorphism (SNP) rs9344 and cancer risk is paradoxical. Thus, we performed a meta-analysis to explore the association between variant and overall cancer risk in Indian population. Data from 12 published studies including 3739 subjects were collected using and was used to perform the meta-analysis. OR with 95%CI were calculated to establish the association. Overall, the cumulative findings demonstrated that polymorphism (rs9344) was not significantly associated with cancer risk in all the genetic models studied (dominant model: GG vs GA+AA: OR (95%CI) = 0.81 (0.60-1.09), =0.17; recessive model: GG+GA vs AA: OR (95%CI) = 1.23 (0.96-1.59), =0.11; co-dominant model: co-dominant model: ; allelic model: A vs G: OR (95%CI) = 1.20 (1.14-2.85), =0.23; allelic model: G vs A: OR (95%CI) = 0.83 (0.62-1.12), =0.23). Subgroup analysis according to cancer types presented significant association of polymorphism and increased breast cancer risk in dominant model (GG vs GA+AA: OR = 2.75, 95%CI = 1.54-4.90, =0.0006) and allelic model (G vs A: OR = 1.63, 95%CI = 1.22-2.19, =0.001). An increased esophageal cancer risk in recessive model (GG+GA vs AA: OR = 1.51, 95%CI = 1.05-2.16, =0.03) and co-dominant model (GG vs AA: OR = 2.51, 95%CI = 1.10-5.71, =0.03) was detected. A higher risk for colorectal cancer was detected under both the co-dominant models (GG vs AA: OR = 2.46, 95%CI = 1.34-4.51, =0.004 and GG vs GA: OR = 1.74, 95%CI = 1.14-2.67, =0.01). However, in case of cervical cancer risk a non-significant association was reported under the recessive model (GG+GA vs AA: OR = 1.52, 95%CI = 0.60-3.90, =0.38) with reference to polymorphism (rs9344). The trial sequential analysis (TSA) showed that the cumulative Z-curve neither crossed the trial sequential monitoring boundary nor reached the required information size (RIS). Thus, present meta-analysis remained inconclusive due to insufficient evidence. polymorphism rs9344 may not have a role in overall cancer susceptibility in Indian population. However, this polymorphism acts as a crucial risk factor for breast, esophageal, and colorectal cancer but not for cervical cancer. Future studies with larger sample size are required to draw a reliable conclusion.
环化酶 D1（CCND1）单核苷酸多态性（SNP）rs9344 与癌症风险之间的关联存在矛盾。因此，我们进行了荟萃分析，以探讨该变异与印度人群总体癌症风险的关系。使用 和 收集了来自 12 项已发表研究的 3739 名受试者的数据，并使用 进行荟萃分析。使用 OR 和 95%CI 来建立关联。
总体而言，累积研究结果表明，在所有研究的遗传模型中，多态性（rs9344）与癌症风险无显著相关性（显性模型：GG 与 GA+AA：OR（95%CI）=0.81（0.60-1.09），=0.17；隐性模型：GG+GA 与 AA：OR（95%CI）=1.23（0.96-1.59），=0.11；共显性模型：；等位基因模型：A 与 G：OR（95%CI）=1.20（1.14-2.85），=0.23；等位基因模型：G 与 A：OR（95%CI）=0.83（0.62-1.12），=0.23）。根据癌症类型进行的亚组分析显示，在显性模型（GG 与 GA+AA：OR=2.75，95%CI=1.54-4.90，=0.0006）和等位基因模型（G 与 A：OR=1.63，95%CI=1.22-2.19，=0.001）中，多态性与乳腺癌风险增加显著相关。在隐性模型（GG+GA 与 AA：OR=1.51，95%CI=1.05-2.16，=0.03）和共显性模型（GG 与 AA：OR=2.51，95%CI=1.10-5.71，=0.03）中检测到食管癌风险增加。在两种共显性模型（GG 与 AA：OR=2.46，95%CI=1.34-4.51，=0.004 和 GG 与 GA：OR=1.74，95%CI=1.14-2.67，=0.01）下，结直肠癌的风险更高。然而，在宫颈癌风险方面，在隐性模型（GG+GA 与 AA：OR=1.52，95%CI=0.60-3.90，=0.38）下，与 多态性（rs9344）相关的报道没有显著相关性。试验序贯分析（TSA）显示，累积 Z 曲线既没有穿过试验序贯监测边界，也没有达到所需的信息大小（RIS）。因此，由于证据不足，本次荟萃分析仍未得出结论。
rs9344 多态性可能与印度人群的总体癌症易感性无关。然而，这种多态性是乳腺癌、食管癌和结直肠癌的重要危险因素，但不是宫颈癌的危险因素。需要更大样本量的未来研究来得出可靠的结论。
