Polymorphism of hormone synthesis and metabolizing genes and breast cancer risk: A multigenic case-control study

A. Chakraborty, A. Mishra, S. Saxena
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Abstract

Endogenous and exogenous hormones influence breast cancer risk including estrogen biosynthesis pathway, vitamin D receptor pathway, and the androgen receptor pathway. Genes involved in these pathways are CYP17, which encodes an enzyme involved in estradiol and testosterone synthesis, androgen receptor (AR), which binds testosterone and DHT and regulates breast cell growth and the vitamin D receptor (VDR), which binds vitamin D and down-regulates breast growth.The current study was proposed to determine whether polymorphisms in the CAG repeat in exon 1 of AR, MspAI T > C substitution of CYP17, and ApaI, 7aqI, poly-A repeat in the VDR gene contribute to breast cancer risk. Logistic regression models were used to evaluate individual and joint contributions of genotypes to breast cancer risk.Seventy (70) breast cancer patients and eighty healthy women (80) were recruited for the study. PCR based RFLP and fragment analysis assays were used to determine genotypes of hormone metabolizing genes. Considering CYP17 A2 allele, VDR Poly-(A) L, and AR ≥ 20 CAG repeats as high risk alleles, a multigenic model of breast cancer susceptibility was developed to identify women who carry a combination of alleles to put them at relatively higher risk to develop breast cancer. All the high-risk genotypes were positively associated with risk. The risk among women carrying three high-risk alleles was OR:4.68 [95% confidence interval (CI), 0.77-28.0; p for trend = 0.10] compared with those who carried none. The conditional logistic regression analysis revealed that the heterozygous TC genotype for CYP17 and AR1AR2 of AR, imparted significantly fourfold risk for the breast cancer risk, in comparison to the referent genotype TT and AR1AR1 [adjusted ORs:3.705(1.236,11.106), p = 0.019] and [4.391(1.324,14.557), p = 0.016], respectively. Gene X Gene interaction showed that the combinations TC*AA, TC*Aa, TC*aa and CC*Aa imparted significantly four to fifteen fold more risk for the breast cancer [(4.377 (1.159, 16.520), p = 0.029); 4.041(1.092, 14.956), p = 0.036); (15.071(0.975, 232.81), p = 0.052); (4.151(1.053, 16.371), p = 0.042), respectively)]. Genes involved in hormone synthesis and metabolizing pathway may play a role in breast cancer development as supported by the multigenic model of breast cancer susceptibility.
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激素合成和代谢基因多态性与乳腺癌风险:一项多基因病例对照研究
影响乳腺癌风险的内源性和外源性激素包括雌激素生物合成途径、维生素D受体途径和雄激素受体途径。参与这些途径的基因是CYP17,它编码一种参与雌二醇和睾酮合成的酶,雄激素受体(AR),它结合睾酮和DHT并调节乳房细胞的生长,维生素D受体(VDR),它结合维生素D并下调乳房的生长。本研究旨在确定AR外显子1 CAG重复序列的多态性、CYP17的MspAI T > C替代以及VDR基因中ApaI、7aqI、poly-A重复序列的多态性是否与乳腺癌风险有关。Logistic回归模型用于评估个体和联合基因型对乳腺癌风险的贡献。70名乳腺癌患者和80名健康女性被招募参加这项研究。采用基于PCR的RFLP和片段分析方法确定激素代谢基因的基因型。考虑到CYP17 A2等位基因、VDR Poly-(A) L和AR≥20 CAG重复基因为高危等位基因,我们建立了乳腺癌易感性的多基因模型,以确定携带这些等位基因组合的女性患乳腺癌的风险相对较高。所有高危基因型均与风险呈正相关。携带三个高危等位基因的妇女的风险为OR:4.68[95%置信区间(CI), 0.77-28.0;P(趋势值= 0.10)与无携带者相比。条件logistic回归分析显示,与对照基因型TT和AR1AR1相比,AR CYP17和AR1AR2的杂合TC基因型对乳腺癌的风险增加了4倍[调整后的or值分别为3.705(1.236,11.106),p = 0.019]和4.391(1.324,14.557),p = 0.016]。基因X交互作用显示,TC*AA、TC*AA、TC*AA和CC* AA组合使乳腺癌发病风险增加4 ~ 15倍[(4.377 (1.159,16.520),p = 0.029];4.041(1.092, 14.956), p = 0.036);(15.071(0.975, 232.81), p = 0.052);(4.151(1.053, 16.371), p = 0.042))。参与激素合成和代谢途径的基因可能在乳腺癌的发展中发挥作用,乳腺癌易感性的多基因模型支持。
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