Jaana M. Hartikainen

A common coding variant in CASP8 is associated with breast cancer risk

The Breast Cancer Association Consortium (BCAC) has been established to conduct combined case-control analyses with augmented statistical power to try to confirm putative genetic associations with breast cancer. We genotyped nine SNPs for which there was some prior evidence of an association with breast cancer: CASP8 D302H (rs1045485), IGFBP3 −202 C → A (rs2854744), SOD2 V16A (rs1799725), TGFB1 L10P (rs1982073), ATM S49C (rs1800054), ADH1B 3′ UTR A → G (rs1042026), CDKN1A S31R (rs1801270), ICAM5 V301I (rs1056538) and NUMA1 A794G (rs3750913). We included data from 9–15 studies, comprising 11,391–18,290 cases and 14,753–22,670 controls. We found evidence of an association with breast cancer for CASP8 D302H (with odds ratios (OR) of 0.89 (95% confidence interval (c.i.): 0.85–0.94) and 0.74 (95% c.i.: 0.62–0.87) for heterozygotes and rare homozygotes, respectively, compared with common homozygotes; Ptrend = 1.1 × 10−7) and weaker evidence for TGFB1 L10P (OR = 1.07 (95% c.i.: 1.02–1.13) and 1.16 (95% c.i.: 1.08–1.25), respectively; Ptrend = 2.8 × 10−5). These results demonstrate that common breast cancer susceptibility alleles with small effects on risk can be identified, given sufficiently powerful studies.NOTE: In the version of this article initially published, there was an error that affected the calculations of the odds ratios, confidence intervals, between-study heterogeneity, trend test and test for association for SNP ICAM5 V301I in Table 1 (ICAM5 V301I); genotype counts in Supplementary Table 2 (ICAM5; ICR_FBCS and Kuopio studies) and minor allele frequencies, trend test and odds ratios for heterozygotes and rare homozygotes in Supplementary Table 3 (ICAM5; ICR_FBCS and Kuopio studies). The errors in Table 1 have been corrected in the PDF version of the article. The errors in supplementary information have been corrected online.

The role of genetic breast cancer susceptibility variants as prognostic factors

Recent genome-wide association studies identified 11 single nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk. We investigated these and 62 other SNPs for their prognostic relevance. Confirmed BC risk SNPs rs17468277 (CASP8), rs1982073 (TGFB1), rs2981582 (FGFR2), rs13281615 (8q24), rs3817198 (LSP1), rs889312 (MAP3K1), rs3803662 (TOX3), rs13387042 (2q35), rs4973768 (SLC4A7), rs6504950 (COX11) and rs10941679 (5p12) were genotyped for 25 853 BC patients with the available follow-up; 62 other SNPs, which have been suggested as BC risk SNPs by a GWAS or as candidate SNPs from individual studies, were genotyped for replication purposes in subsets of these patients. Cox proportional hazard models were used to test the association of these SNPs with overall survival (OS) and BC-specific survival (BCS). For the confirmed loci, we performed an accessory analysis of publicly available gene expression data and the prognosis in a different patient group. One of the 11 SNPs, rs3803662 (TOX3) and none of the 62 candidate/GWAS SNPs were associated with OS and/or BCS at P<0.01. The genotypic-specific survival for rs3803662 suggested a recessive mode of action [hazard ratio (HR) of rare homozygous carriers=1.21; 95% CI: 1.09-1.35, P=0.0002 and HR=1.29; 95% CI: 1.12-1.47, P=0.0003 for OS and BCS, respectively]. This association was seen similarly in all analyzed tumor subgroups defined by nodal status, tumor size, grade and estrogen receptor. Breast tumor expression of these genes was not associated with prognosis. With the exception of rs3803662 (TOX3), there was no evidence that any of the SNPs associated with BC susceptibility were associated with the BC survival. Survival may be influenced by a distinct set of germline variants from those influencing susceptibility.

Breast Cancer–Associated Abraxas Mutation Disrupts Nuclear Localization and DNA Damage Response Functions

A germline mutation in the Abraxas gene impairs BRCA1 DNA damage response function and is associated with familial breast cancer. A New Member of the Cancer Susceptibility Club Before 1990, breast cancer was generally viewed as genetically intractable, a disease that was the result of a complex interplay between multiple genes and environmental factors. The discovery that it is linked to mutations in BRCA1 in certain families transformed this view, and since that time, mutations in several genes involved in BRCA1-related pathways have also been associated with breast cancer susceptibility. Now, Solyom et al. add a new member to this set. BRCA1 plays a key role in the DNA damage response via its interactions with multiple proteins. One such protein, Abraxas, organizes a large BRCA1-containing complex that is required for this response. Solyom et al. investigated whether mutations in the Abraxas gene might be linked to familial breast cancer, screening patients from 125 Finnish breast cancer families for germline Abraxas mutations. One mutation (R361Q), which affects a conserved residue in a potential nuclear localization signal, was found in patients from three of the families, but not in healthy female controls. Furthermore, R361Q was found to segregate with a cancer phenotype in the two families for which this analysis was possible. Additionally, the researchers showed that the R361Q mutation impairs the nuclear localization of Abraxas in cultured cells. The mutant protein also was not recruited to sites of DNA damage, unlike its wild-type counterpart. Moreover, expression of the R361Q variant caused hypersensitivity to ionizing radiation and reduced BRCA1 localization at sites of DNA damage in several cell lines. These observations suggest that the Abraxas R361Q variant negatively affects the localization of its binding partners at sites where DNA repair is needed. The work of Solyom et al. establishes Abraxas as a breast cancer susceptibility gene; in time, the R361Q mutation may be added to a list of mutations for which breast cancer–prone families can be tested. Breast cancer is the most common cancer in women in developed countries and has a well-established genetic component. Germline mutations in a network of genes encoding BRCA1, BRCA2, and their interacting partners confer hereditary susceptibility to breast cancer. Abraxas directly interacts with the BRCA1 BRCT (BRCA1 carboxyl-terminal) repeats and contributes to BRCA1-dependent DNA damage responses, making Abraxas a candidate for yet unexplained disease susceptibility. Here, we have screened 125 Northern Finnish breast cancer families for coding region and splice-site Abraxas mutations and genotyped three tagging single-nucleotide polymorphisms within the gene from 991 unselected breast cancer cases and 868 female controls for common cancer-associated variants. A novel heterozygous alteration, c.1082G>A (Arg361Gln), that results in abrogated nuclear localization and DNA response activities was identified in three breast cancer families and in one additional familial case from an unselected breast cancer cohort, but not in healthy controls (P = 0.002). On the basis of its exclusive occurrence in familial cancers, disease cosegregation, evolutionary conservation, and disruption of critical BRCA1 functions, the recurrent Abraxas c.1082G>A mutation connects to cancer predisposition. These findings contribute to the concept of a BRCA-centered tumor suppressor network and provide the identity of Abraxas as a new breast cancer susceptibility gene.

Refinement of the 22q12-q13 Breast Cancer–Associated Region: Evidence of TMPRSS6 as a Candidate Gene in an Eastern Finnish Population

Although many risk factors for breast cancer are known, most of the genetic background and molecular mechanisms still remain to be elucidated. We have previously published an autosome-wide microsatellite scan for breast cancer association and here we report a follow-up study for one of the detected regions. Ten single nucleotide polymorphisms (SNP) were genotyped in an Eastern Finnish population sample of 497 breast cancer cases and 458 controls to refine the 550-kb region on 22q12-q13 and identify the breast cancer–associated gene(s) in this region. We also studied 22q12-q13 for allelic imbalance for the detection of a possible tumor suppressor gene and to see whether the breast cancer association and allelic imbalance in this region could be connected. A SNP (rs733655) in matriptase-2 gene (TMPRSS6) was detected to associate with breast cancer risk. The genotype frequencies of rs733655 differed significantly between cases and controls in the entire sample and in the geographically and genetically more homogeneous subsample with P = 0.044 and P = 0.0003, respectively. The heterozygous genotype TC was observed to be the risk genotype in both samples (odds ratios, 1.39; 95% confidence intervals, 1.06-1.83 and odds ratios, 2.11; 95% confidence intervals, 1.46-3.05). An associated two-marker haplotype involving SNP rs733655 (empirical P = 0.041) provides further evidence for breast cancer risk factor locating on 22q12-q13, possibly being TMPRSS6. Our results suggest that matriptase-2 gene is associated with breast cancer risk in the Eastern Finnish population.

Genetic Polymorphisms and Protein Expression of NRF2 and Sulfiredoxin Predict Survival Outcomes in Breast Cancer

NRF2 activates several protective genes, such as sulfiredoxin (SRXN1), as a response to oxidative and xenobiotic stress. Defects in NRF2 pathway may increase cancer susceptibility. In tumor cells, activation of NRF2 may lead to chemo- and radioresistance and thus affect patient outcome. Nine single-nucleotide polymorphisms on NRF2 gene and eight on SRXN1 were genotyped in 452 patients with breast cancer and 370 controls. Protein expression of NRF2 and SRXN1 was studied in 373 breast carcinomas by immunohistochemistry. Statistical significance of the associations between genotypes, protein expression, clinicopathologic variables, and survival was assessed. A high level (>25%) of cytoplasmic NRF2 positivity was observed in 237 of 361 (66%) and SRXN1 positivity was observed in 82 of 363 (23%) cases. The NRF2 rs6721961 genotype TT was associated with increased risk of breast cancer [P = 0.008; OR, 4.656; confidence interval (CI), 1.350-16.063] and the T allele was associated with a low extent of NRF2 protein expression (P = 0.0003; OR, 2.420; CI, 1.491-3.926) and negative SRXN1 expression (P = 0.047; OR, 1.867; CI = 1.002-3.478). The NRF2 rs2886162 allele A was associated with low NRF2 expression (P = 0.011; OR, 1.988; CI, 1.162-3.400) and the AA genotype was associated with a worse survival (P = 0.032; HR, 1.687; CI, 1.047-2.748). The NRF2 rs1962142 T allele was associated with a low level of cytoplasmic NRF2 expression (P = 0.036) and negative sulfiredoxin expression (P = 0.042). The NRF2 rs2706110 AA genotype was associated with an increased risk of breast cancer, and the SRXN1 rs6053666 C allele was associated with a decrease in breast cancer risk (P = 0.011 and 0.017). NRF2 and SRXN1 genetic polymorphisms are associated with breast cancer risk and survival, implicating that mechanisms associated with reactive oxygen species and NRF2 pathway are involved in breast cancer initiation and progression.

Identification of new genetic susceptibility Loci for breast cancer through consideration of gene-environment interactions

Genes that alter disease risk only in combination with certain environmental exposures may not be detected in genetic association analysis. By using methods accounting for gene‐environment (G × E) interaction, we aimed to identify novel genetic loci associated with breast cancer risk. Up to 34,475 cases and 34,786 controls of European ancestry from up to 23 studies in the Breast Cancer Association Consortium were included. Overall, 71,527 single nucleotide polymorphisms (SNPs), enriched for association with breast cancer, were tested for interaction with 10 environmental risk factors using three recently proposed hybrid methods and a joint test of association and interaction. Analyses were adjusted for age, study, population stratification, and confounding factors as applicable. Three SNPs in two independent loci showed statistically significant association: SNPs rs10483028 and rs2242714 in perfect linkage disequilibrium on chromosome 21 and rs12197388 in ARID1B on chromosome 6. While rs12197388 was identified using the joint test with parity and with age at menarche (P‐values = 3 × 10−07), the variants on chromosome 21 q22.12, which showed interaction with adult body mass index (BMI) in 8,891 postmenopausal women, were identified by all methods applied. SNP rs10483028 was associated with breast cancer in women with a BMI below 25 kg/m2 (OR = 1.26, 95% CI 1.15–1.38) but not in women with a BMI of 30 kg/m2 or higher (OR = 0.89, 95% CI 0.72–1.11, P for interaction = 3.2 × 10−05). Our findings confirm comparable power of the recent methods for detecting G × E interaction and the utility of using G × E interaction analyses to identify new susceptibility loci.

Investigation of gene‐environment interactions between 47 newly identified breast cancer susceptibility loci and environmental risk factors

A large genotyping project within the Breast Cancer Association Consortium (BCAC) recently identified 41 associations between single nucleotide polymorphisms (SNPs) and overall breast cancer (BC) risk. We investigated whether the effects of these 41 SNPs, as well as six SNPs associated with estrogen receptor (ER) negative BC risk are modified by 13 environmental risk factors for BC. Data from 22 studies participating in BCAC were pooled, comprising up to 26,633 cases and 30,119 controls. Interactions between SNPs and environmental factors were evaluated using an empirical Bayes‐type shrinkage estimator. Six SNPs showed interactions with associated p‐values (pint) <1.1 × 10−3. None of the observed interactions was significant after accounting for multiple testing. The Bayesian False Discovery Probability was used to rank the findings, which indicated three interactions as being noteworthy at 1% prior probability of interaction. SNP rs6828523 was associated with increased ER‐negative BC risk in women ≥170 cm (OR = 1.22, p = 0.017), but inversely associated with ER‐negative BC risk in women <160 cm (OR = 0.83, p = 0.039, pint = 1.9 × 10−4). The inverse association between rs4808801 and overall BC risk was stronger for women who had had four or more pregnancies (OR = 0.85, p = 2.0 × 10−4), and absent in women who had had just one (OR = 0.96, p = 0.19, pint = 6.1 × 10−4). SNP rs11242675 was inversely associated with overall BC risk in never/former smokers (OR = 0.93, p = 2.8 × 10−5), but no association was observed in current smokers (OR = 1.07, p = 0.14, pint = 3.4 × 10−4). In conclusion, recently identified BC susceptibility loci are not strongly modified by established risk factors and the observed potential interactions require confirmation in independent studies.

KEAP1 Genetic Polymorphisms Associate with Breast Cancer Risk and Survival Outcomes

Purpose: Defective oxidative stress response may increase cancer susceptibility. In tumors, these rescue mechanisms may cause chemo- and radioresistance impacting patient outcome. We previously showed that genetic variation in the nuclear factor erythroid 2–related factor 2 (NFE2L2) is associated with breast cancer risk and prognosis. Here we further studied this pathway by investigating Kelch-like ECH-associated protein 1 (KEAP1). Experimental Design: Five tagging SNPs in the KEAP1 gene were genotyped in 996 breast cancer cases and 880 controls from two Finnish case–control sets. KEAP1 protein expression was studied in 373 invasive breast cancer tumors. Results: rs34197572 genotype TT was associated with increased risk of breast cancer in the KBCP samples [P = 1.8×10−4; OR, 7.314; confidence interval (CI), 2.185–24.478]. rs11085735 allele A was associated with lower KEAP1 protein expression (P = 0.040; OR,= 3.545) and high nuclear NRF2 expression (P = 0.009; OR, 2.445) and worse survival in all invasive cases (P = 0.023; HR, 1.634). When including treatment data, rs11085735 was associated with recurrence-free survival (RFS; P = 0.020; HR, 1.545) and breast cancer–specific survival (P = 0.016; HR, 1.683) and rs34197572 with overall survival (P = 0.045; HR, 1.304). rs11085735 associated with RFS also among tamoxifen-treated cases (P = 0.003; HR, 3.517). Among radiotherapy-treated cases, overall survival was associated with rs34197572 (P = 0.018; HR, 1.486) and rs8113472 (P = 0.025; HR, 1.455). RFS was associated with rs9676881 (P = 0.024; HR, 1.452) and rs1048290 (P = 0.020; HR, 1.468) among all invasive cases and among estrogen receptor (ER)-positive tamoxifen-treated cases (P = 0.018; HR, 2.407 and P = 0.015; HR, 2.476, respectively). Conclusions: The present findings suggest that the investigated SNPs have effects related to oxidative stress induced by cancer treatment, supporting involvement of the NRF2/KEAP1 pathway in breast cancer susceptibility and patient outcome. Clin Cancer Res; 21(7); 1591–601. ©2015 AACR.

Matriptase-2 gene (TMPRSS6) variants associate with breast cancer survival, and reduced expression is related to triple-negative breast cancer

Matriptase‐2 (TMPRSS6) has been identified as a breast cancer risk factor. Here, we examined relationships between TMPRSS6 genetic variations and breast cancer risk and survival, and determined the gene and protein expressions in breast tumors and assessed their clinical importance. Thirteen TMPRSS6 polymorphisms were genotyped in 462 invasive breast cancer cases and 458 controls. Gene expression was analyzed from 83 tumors and protein expression from 370 tumors. We then assessed the statistical significance of associations among genotypes, clinicopathological characteristics and survival. The TMPRSS6 variant rs2543519 was associated with breast cancer risk (p = 0.032). Multivariate analysis showed that four variants had effects on survival—rs2543519 (p = 0.017), rs2235324 (p = 0.038), rs14213212 (p = 0.044) and rs733655 (p = 0.021)—which were used to create a group variable that was associated with poorer prognosis correlating with more alleles related to reduced survival (p = 0.006; risk ratio, 2.375; 95% confidence interval, 1.287–4.382). Low gene expression was related to triple‐negative breast cancer (p = 0.0001), and lower protein expression was detected in undifferentiated (p = 0.019), large (p = 0.014) and ductal or lobular tumors (p = 0.036). These results confirm the association of TMRRSS6 variants with breast cancer risk and survival. Matriptase‐2 levels decrease with tumor progression, and lower gene expression is seen in poor‐prognosis‐related triple‐negative breast cancers. Our study is the first to show that matriptase‐2 gene variants are related to breast cancer prognosis, supporting matriptase‐2 involvement in tumor development.

RAD51B in Familial Breast Cancer

Common variation on 14q24.1, close to RAD51B, has been associated with breast cancer: rs999737 and rs2588809 with the risk of female breast cancer and rs1314913 with the risk of male breast cancer. The aim of this study was to investigate the role of RAD51B variants in breast cancer predisposition, particularly in the context of familial breast cancer in Finland. We sequenced the coding region of RAD51B in 168 Finnish breast cancer patients from the Helsinki region for identification of possible recurrent founder mutations. In addition, we studied the known rs999737, rs2588809, and rs1314913 SNPs and RAD51B haplotypes in 44,791 breast cancer cases and 43,583 controls from 40 studies participating in the Breast Cancer Association Consortium (BCAC) that were genotyped on a custom chip (iCOGS). We identified one putatively pathogenic missense mutation c.541C>T among the Finnish cancer patients and subsequently genotyped the mutation in additional breast cancer cases (n = 5259) and population controls (n = 3586) from Finland and Belarus. No significant association with breast cancer risk was seen in the meta-analysis of the Finnish datasets or in the large BCAC dataset. The association with previously identified risk variants rs999737, rs2588809, and rs1314913 was replicated among all breast cancer cases and also among familial cases in the BCAC dataset. The most significant association was observed for the haplotype carrying the risk-alleles of all the three SNPs both among all cases (odds ratio (OR): 1.15, 95% confidence interval (CI): 1.11–1.19, P = 8.88 x 10−16) and among familial cases (OR: 1.24, 95% CI: 1.16–1.32, P = 6.19 x 10−11), compared to the haplotype with the respective protective alleles. Our results suggest that loss-of-function mutations in RAD51B are rare, but common variation at the RAD51B region is significantly associated with familial breast cancer risk.