Chacko Priya, Rajan Balakrishnan, Mathew Beela Sarah, Joseph Thomas, Pillai M Radhakrishnai
Division of Molecular Medicine, Drug Development & Chemoinformatics, Regional Cancer Centre, Thiruvananthapuram 695011, Kerala State, India.
Breast Cancer. 2004;11(4):380-8. doi: 10.1007/BF02968046.
Breast cancer is the most common cancer among women worldwide. Life-time exposure to steroid hormones, especially estrogen, is a major risk factor for breast cancer. Functional polymorphisms in genes encoding steroid metabolizing enzymes may thus be important as biomarkers of individual susceptibility to breast cancer. The CYP17 and SULT1A1 genes encode for two enzymes involved in hormone biosynthesis and metabolism. Single nucleotide polymorphisms of these genes may result in inter-individual variability in steroid hormone biosynthesis and metabolism thus influence the development of breast cancer.
We tested this hypothesis by conducting a case - control study on a group of 140 breast cancer cases and 140 healthy age-matched controls. Analysis of CYP17 and SULT1A1 genotypes were done by polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP).
The genetic polymorphisms of the estrogen-related genes SULT1A1(OR=2.5, 95% CI=1.28-4.98) and CYP17 (OR=4.1, 95= CI=1.78-9.63) were associated with an increased risk of breast cancer among postmenopausal women. Our data also showed evidence for the genetic regulation of serum 17 beta estradiol (E2) levels as measured by ELISA among the premenopausal women with a significant increase in the serum E2 level for the CYP17 A2 variants.
These results suggest that both CYP17 and SULT1A1 genotypes could be important determinants of breast cancer risk in Indian women and may help in early identification of high risk subjects. Such genotype analysis resulting in a high-risk profile holds considerable promise for individualizing screening, diagnosis and therapeutic intervention in breast cancer.
乳腺癌是全球女性中最常见的癌症。一生中接触甾体激素,尤其是雌激素,是乳腺癌的主要危险因素。因此,编码甾体代谢酶的基因中的功能多态性可能作为个体对乳腺癌易感性的生物标志物具有重要意义。CYP17和SULT1A1基因编码参与激素生物合成和代谢的两种酶。这些基因的单核苷酸多态性可能导致甾体激素生物合成和代谢的个体间差异,从而影响乳腺癌的发生发展。
我们通过对一组140例乳腺癌病例和140例年龄匹配的健康对照进行病例对照研究来验证这一假设。采用聚合酶链反应(PCR)和限制性片段长度多态性(RFLP)分析CYP17和SULT1A1基因型。
雌激素相关基因SULT1A1(OR=2.5,95%CI=1.28 - 4.98)和CYP17(OR=4.1,95%CI=1.78 - 9.63)的基因多态性与绝经后女性患乳腺癌的风险增加有关。我们的数据还显示,在绝经前女性中,通过酶联免疫吸附测定(ELISA)测量的血清17β雌二醇(E2)水平存在基因调控证据,CYP17 A2变体的血清E2水平显著升高。
这些结果表明,CYP17和SULT1A1基因型可能是印度女性乳腺癌风险的重要决定因素,有助于早期识别高危人群。这种导致高危特征的基因型分析在乳腺癌的个体化筛查、诊断和治疗干预方面具有很大的前景。