Mia M. Gaudet

P53 participates in cell cycle control, programmed cell death/apoptosis, and DNA repair, all pathways involved in carcinogenesis. TP53 variants may influence p53 function. We evaluated whether three well-characterized TP53 variants—Ex4 + 119 C > G (rs#1042522, Arg72Pro), IVS6 + 62 A > G (rs#1625895), and an IVS3 16 bp insertion/ deletion (INDEL; rs#17878362)—were associated with breast cancer risk in a population-based case-control study. Genotypes and haplotypes were determined using long-range PCR in a sample of 578 cases and 390 controls. For the Ex4 + 19 C > G SNP (rs1042522), women with the heterozygous genotype (G/C) had a 32% increase in breast cancer risk. Other variants were not associated with risk. We further examined whether these associations were modified by cigarette smoking status and detection of PAH–DNA adducts in circulating lymphocytes. Among current smokers, each copy of the minor alleles for the IVS6 + 62 A > G SNP (rs1625895) and the IVS3 INDEL polymorphism (rs17878362) was associated with lower breast cancer risk (OR = 0.49, 95% CI 0.27–0.90; OR = 0.42, 95% CI 0.22–0.78, respectively). However, among former smokers, the homozygous variant genotype for these 2 SNPs was observed among cases (4.1 and 3.2%, respectively) and not controls. Genotype associations were not modified by the presence or absence of DNA adducts in circulating lymphocytes. Three-loci haplotypes were not significantly associated with breast cancer risk. These results should be confirmed in larger studies, but suggest that cigarette smoking may influence breast cancer risk through interaction with p53.

Tumor necrosis factor (TNF) is critical to regulation of inflammation. Genetic variation in the promoter region of TNF has been associated with expression differences, and a range of auto-immune, infectious, and oncologic diseases. We analyzed eight common single nucleotide polymorphisms (SNPs) (rs746868, rs909253, rs1799964, rs1800630, rs1800750, rs1800629, rs361525, and rs1800610) to capture most of the genetic variation in TNF in addition to SNPs in lymphotoxin-alpha (LTA), a pro-inflammatory cytokine in linkage disequilibrium with the TNF promoter region. SNPs were genotyped in a USA population-based case-control study (3,318 cases, 2,841 controls). Promising results were followed-up in an independent population-based case-control study in Poland (2,228 cases, 2,378 controls). In both studies, women carrying the variant allele of rs361525 were at elevated breast cancer risk compared to the GG genotype (per allele OR = 1.18, 95% CI 1.04–1.35; P for trend = 0.008). Other SNPs were not significantly associated with breast cancer risk. Haplotype analyses did not reveal any additional associations between TNF and breast cancer risk. Data from 5,269 cases and 4,982 controls suggested that the rs361525 A allele, located in the TNF promoter region, was associated with a modest increase in breast cancer risk. Additional studies are required to replicate these findings and to determine whether rs361525 is a causative SNP or is a marker of a causative SNP.

Because catechol-O-methyltransferase (COMT) catalyzes the addition of methyl groups to stabilize catechol estrogens that may induce DNA damage, genetic variants could influence breast cancer risk. To comprehensively characterize genetic variation in this gene, we selected haplotype-tagging single nucleotide polymorphisms (htSNP) in COMT. A total of 11 htSNPs (including COMT Val¹⁵⁸Met) were selected based on the resequencing and dense genotyping approach of the Breast and Prostate Cancer Cohort Consortium. htSNPs were genotyped in a population-based, case-control study in Poland (1,995 cases and 2,296 controls). Individual SNPs were not significantly associated with risk. Haplotypes were estimated using the expectation-maximization algorithm. Overall differences in the haplotype distribution between cases and controls were assessed using a global score test. The TGAG haplotype (frequent in 4.3% of controls), in a linkage disequilibrium (LD) block that included the 3′ untranslated region (UTR) of COMT, was associated with breast cancer risk (odds ratio, 1.29; 95% confidence interval, 1.06-1.58) compared with the most common haplotype TGAA; however, the global test for haplotype associations was not significant (P = 0.09). Haplotypes in another LD block, which included COMT Val¹⁵⁸Met, were not associated with breast cancer risk (global P = 0.76). Haplotype-breast cancer risk associations were not significantly modified by hormonally related risk factors, family history of breast cancer, or tumor characteristics. In summary, our data does not support a substantial overall association between COMT haplotypes and breast cancer. The suggestion of increased risk associated with a haplotype in the 3′ UTR of COMT needs to be confirmed in independent study populations. (Cancer Res 2006; 66(19): 9781-5)

Four single nucleotide polymorphisms (SNPs) in CYP1B1 (Ex2+143 C>G, Ex2+356 G>T, Ex3+251 G>C, Ex3+315 A>G) cause amino acid changes (R48G, A119S, L432V and N453S, respectively) and are associated with increased formation of catechol estrogens; however, epidemiologic evidence only weakly supports an association between these variants and breast cancer risk. Because genetic variability conferring increased susceptibility could exist beyond these putative functional variants, we comprehensively examined the common genetic variability within CYP1B1. A total of eight haplotype-tagging (ht)SNPs (including Ex3+315 A>G), in addition to two putatively functional SNPs (Ex2+143 C>G and Ex3+251 G>C), were selected and genotyped in a large case–control study of Polish women (1995 cases and 2296 controls). Haplotypes were estimated using the expectation-maximization algorithm, and overall differences in the haplotype distribution between cases and controls were assessed using a global score test. We also evaluated levels of tumor CYP1B1 protein expression in a subset of 841 cases by immunohistochemistry, and their association with genetic variants. In the Polish population, we observed two linkage disequilibrium (LD)-defined blocks. Neither haplotypes (global P-value of 0.99 and 0.67 for each block of LD, respectively), nor individual SNPs (including three putatively functional SNPs) were associated with breast cancer risk. CYP1B1 was expressed in most tumor tissues (98%), and the level of expression was not related to the studied genetic variants. We found little evidence for modification of the estimated effect of haplotypes or individual SNPs by age, family history of breast cancer, or tumor hormone receptor status. The present study provides strong evidence against the existence of a substantial overall association between common genetic variation in CYP1B1 and breast cancer risk.

The gene encoding catechol-O-methyltransferase (COMT), critical to the inactivation of reactive catechol estrogens, has several single nucleotide polymorphisms (SNPs) that influence enzyme activity. A 3-SNP haplotype (IVS1+255 C>T; Ex4-12 G>A; 3′UTR-521 A>G), which has been shown to reduce COMT expression in the human brain, has been identified. To evaluate the influence of genetic variation of COMT on breast cancer risk, these 3-SNPs were genotyped in 1052 cases and 1098 controls. We estimated the associations between breast cancer and individual SNPs, as well as, multilocus haplotypes. We also examined surrogates of hormone exposure as potential modifiers of the putatively functional Ex4-12 SNP-breast cancer association. Odds ratios (OR) and 95% confidence intervals (CI) were based on age-adjusted unconditional logistic regression models. We found no association between the individual SNPs alone and breast cancer. When examining the association between breast cancer and the 3-SNP haplotypes, we observed a 19% increase in risk associated with each copy of the TGG haplotype (OR=1.19, 95% CI 0.96–1.49), relative to the common TAA haplotype, which was statistically significant when assuming a dominant model (OR=1.32, 95% CI 1.05–1.67, p-value=0.02). In this report of COMT haplotypes and breast cancer, we found some evidence that additional genetic variability beyond the Ex4-12 G>A SNP contributes to risk of breast cancer among a small subgroup of women; however, these results need to be replicated in additional studies.