Genetic variation in estrogen and progesterone pathway genes and breast cancer risk: an exploration of tumor subtype-specific effects

被引:13
作者
Nyante, Sarah J. [1 ]
Gammon, Marilie D. [2 ,3 ]
Kaufman, Jay S. [4 ]
Bensen, Jeannette T. [2 ,3 ]
Lin, Dan Yu [3 ,5 ]
Barnholtz-Sloan, Jill S. [6 ]
Hu, Yijuan [5 ]
He, Qianchuan [7 ]
Luo, Jingchun [3 ]
Millikan, Robert C. [2 ,3 ]
机构
[1] NCI, Div Canc Epidemiol & Genet, Bethesda, MD 20892 USA
[2] Univ N Carolina, Dept Epidemiol, Chapel Hill, NC USA
[3] Univ N Carolina, Lineberger Comprehens Canc Ctr, Chapel Hill, NC 27599 USA
[4] McGill Univ, Dept Epidemiol Biostat & Occupat Hlth, Montreal, PQ, Canada
[5] Univ N Carolina, Dept Biostat, Chapel Hill, NC USA
[6] Case Western Reserve Univ, Sch Med, Case Comprehens Canc Ctr, Cleveland, OH USA
[7] Fred Hutchinson Canc Res Ctr, Seattle, WA 98104 USA
基金
美国国家卫生研究院;
关键词
Breast cancer; Single nucleotide polymorphisms; Estrogen receptor; Progesterone receptor; Cytochrome P450 family 19 subfamily A polypeptide 1; 17-Beta hydroxysteroid dehydrogenase type II; Sex hormone-binding globulin; 3-Beta hydroxysteroid dehydrogenase type I; GENOME-WIDE ASSOCIATION; BASAL-LIKE SUBTYPE; SUSCEPTIBILITY LOCI; POPULATION STRATIFICATION; LINKAGE DISEQUILIBRIUM; COMMON VARIANTS; HUMAN AROMATASE; RECEPTOR; POLYMORPHISM; CELLS;
D O I
10.1007/s10552-014-0491-2
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
To determine whether associations between estrogen pathway-related single nucleotide polymorphisms (SNPs) and breast cancer risk differ by molecular subtype, we evaluated associations between SNPs in cytochrome P450 family 19 subfamily A polypeptide 1 (CYP19A1), estrogen receptor (ESR1), 3-beta hydroxysteroid dehydrogenase type I (HSD3B1), 17-beta hydroxysteroid dehydrogenase type II (HSD17B2), progesterone receptor (PGR), and sex hormone-binding globulin (SHBG) and breast cancer risk in a case-control study in North Carolina. Cases (n = 1,972) were women 20-74 years old and diagnosed with breast cancer between 1993 and 2001. Population-based controls (n = 1,776) were frequency matched to cases by age and race. A total of 195 SNPs were genotyped, and linkage disequilibrium was evaluated using the r (2) statistic. Odds ratios (ORs) and 95 % confidence intervals (CIs) for associations with breast cancer overall and by molecular subtype were estimated using logistic regression. Monte Carlo methods were used to control for multiple comparisons; two-sided p values < 3.3 x 10(-4) were statistically significant. Heterogeneity tests comparing the two most common subtypes, luminal A (n = 679) and basal-like (n = 200), were based on the Wald statistic. ESR1 rs6914211 (AA vs. AT+TT, OR 2.24, 95 % CI 1.51-3.33), ESR1 rs985191 (CC vs. AA, OR 2.11, 95 % CI 1.43-3.13), and PGR rs1824128 (TT+GT vs. GG, OR 1.33, 95 % CI 1.14-1.55) were associated with risk after accounting for multiple comparisons. Rs6914211 and rs985191 were in strong linkage disequilibrium among controls (African-Americans r (2) = 0.70; whites r (2) = 0.95). There was no evidence of heterogeneity between luminal A and basal-like subtypes, and the three SNPs were also associated with elevated risk of the less common luminal B, HER2+/ER-, and unclassified subtypes. ESR1 and PGR SNPs were associated with risk, but lack of heterogeneity between subtypes suggests variants in hormone-related genes may play similar roles in the etiology of breast cancer molecular subtypes.
引用
收藏
页码:121 / 131
页数:11
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