Kubo, Michiaki

Abstract We previously reported, on the basis of a genome-wide association study for aromatase inhibitor-induced musculoskeletal symptoms, that single-nucleotide polymorphisms (SNPs) near the T-cell leukemia/lymphoma 1A (TCL1A) gene were associated with aromatase inhibitor-induced musculoskeletal pain and with estradiol (E2)-induced TCL1A expression. Furthermore, variation in TCL1A expression influenced the downstream expression of proinflammatory cytokines and cytokine receptors. Specifically, the top hit genome-wide association study SNP, rs11849538, created a functional estrogen response element (ERE) that displayed estrogen receptor (ER) binding and increased E2 induction of TCL1A expression only for the variant SNP genotype. In the present study, we pursued mechanisms underlying the E2-SNP-dependent regulation of TCL1A expression and, in parallel, our subsequent observations that SNPs at a distance from EREs can regulate ERα binding and that ER antagonists can reverse phenotypes associated with those SNPs. Specifically, we performed a series of functional genomic studies using a large panel of lymphoblastoid cell lines with dense genomic data that demonstrated that TCL1A SNPs at a distance from EREs can modulate ERα binding and expression of TCL1A as well as the expression of downstream immune mediators. Furthermore, 4-hydroxytamoxifen or fulvestrant could reverse these SNP-genotype effects. Similar results were found for SNPs in the IL17A cytokine and CCR6 chemokine receptor genes. These observations greatly expand our previous results and support the existence of a novel molecular mechanism that contributes to the complex interplay between estrogens and immune systems. They also raise the possibility of the pharmacological manipulation of the expression of proinflammatory cytokines and chemokines in a SNP genotype-dependent fashion.

Abstract Purpose: Tamoxifen and raloxifene, are primary prevention strategies for women at high risk of breast cancer (Visvanathan, 2013). Recent advances in genetic studies of breast cancer risk have identified common susceptibility loci that explain 14% of familial risk for breast cancer in the general population (Michailidou, 2013). However, it is not known if these loci are risk factors for breast cancer among high-risk women treated with SERMs for breast cancer prevention. We hypothesized that the large risk reduction associated with SERMs, coupled with the fact that several breast cancer loci correlate with family history, may limit the contribution of these common genetic loci to breast cancer in this high risk population. We present the first report to evaluate 75 established breast cancer susceptibility loci, in the context of a polygenic risk score (PRS), as a risk factor for breast cancer among high risk women taking raloxifene and tamoxifen for breast cancer prevention. Methods: We conducted a matched case-control study of 594 cases (i.e., participants who developed breast cancer while on SERM therapy) and 1,171 matched controls selected from the 33,000 participants enrolled in the NSABP P-1 and P-2 breast cancer prevention trials. Genotypes of 75 single nucleotide polymorphisms (SNPs) were available from a genome-wide association study conducted at the RIKEN Center for Genomic Medicine. We formed a quantitative PRS from reported per-SNP odds ratios (OR) for the 75 susceptibility loci. Conditional logistic regression was used to examine the PRS as a risk factor for breast cancer and to assess whether the PRS and breast cancer association differed by treatment type, family history, or other clinical characteristics. Analyses also examined associations of PRS with invasive vs. in situ cancer and ER-positive vs. ER-negative cancer. Results: The PRS ranged from 3.98 to 7.74, and a one unit change in PRS was associated with a 42% increase in breast cancer (OR=1.42; 95% CI: 1.18-1.70; P = 0.0002). There was evidence of a stronger association of PRS with breast cancer among women with no first-degree family history (OR=1.62, 95% CI: 1.18-2.21) compared to those with a positive family history (OR=1.32, 95% CI: 1.06-1.66) (Pintx<0.05). The PRS also appeared a stronger risk factor for ER-positive (OR=1.59, 95% CI: 1.25-2.02, P < 0.0002) vs. ER-negative (OR=1.05, 95% CI: 0.68-1.62, P=0.84) breast cancer, although differences did not reach statistical significance (Pintx=0.10). PRS and breast cancer associations were similar across tamoxifen and raloxifene treatments, age at trial entry, 5-year predicted Gail model risk, hysterectomy status, BMI, presence of atypical hyperplasia and invasive vs. in situ cancer. Conclusion: A polygenic risk score composed of 75 loci was a risk factor for ER-positive breast cancer, especially in the absence of a first-degree family history of breast cancer. Further, the PRS associations with breast cancer were similar for women taking tamoxifen or raloxifene for prevention. These data suggest that common genetic variation adds information on risk of ER-positive breast cancer in a high-risk population receiving SERMs. Citation Format: Celine M Vachon, Daniel J Schaid, James N Ingle, Matthew P Goetz, Donald L Wickerham, Michiaki Kubo, Erin E Carlson, Soonmyung Paik, Norman Wolmark, Yusuke Nakamura, Liewei Wang, Richard M Weinshilboum, Fergus J Couch. The contribution of common genetic variation to breast cancer risk among women receiving tamoxifen or raloxifene within the National Surgical Adjuvant Breast and Bowel Project (NSABP) P-1 and P-2 trials [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P6-10-03.

Aims Citalopram ( CT ) and escitalopram ( S ‐ CT ) are among the most widely prescribed selective serotonin reuptake inhibitors used to treat major depressive disorder ( MDD ). We applied a genome‐wide association study to identify genetic factors that contribute to variation in plasma concentrations of CT or S ‐ CT and their metabolites in MDD patients treated with CT or S ‐ CT . Methods Our genome‐wide association study was performed using samples from 435 MDD patients. Linear mixed models were used to account for within‐subject correlations of longitudinal measures of plasma drug/metabolite concentrations (4 and 8 weeks after the initiation of drug therapy), and single‐nucleotide polymorphisms ( SNPs ) were modelled as additive allelic effects. Results Genome‐wide significant associations were observed for S ‐ CT concentration with SNPs in or near the CYP2C19 gene on chromosome 10 (rs1074145, P = 4.1 × 10 −9 ) and with S ‐didesmethylcitalopram concentration for SNPs near the CYP2D6 locus on chromosome 22 (rs1065852, P = 2.0 × 10 −16 ), supporting the important role of these cytochrome P450 ( CYP ) enzymes in biotransformation of citalopram. After adjustment for the effect of CYP2C19 functional alleles, the analyses also identified novel loci that will require future replication and functional validation. Conclusions In vitro and in vivo studies have suggested that the biotransformation of CT to monodesmethylcitalopram and didesmethylcitalopram is mediated by CYP isozymes. The results of our genome‐wide association study performed in MDD patients treated with CT or S ‐ CT have confirmed those observations but also identified novel genomic loci that might play a role in variation in plasma levels of CT or its metabolites during the treatment of MDD patients with these selective serotonin reuptake inhibitors.

Abstract The selective estrogen receptor modulators (SERM) tamoxifen and raloxifene can reduce the occurrence of breast cancer in high-risk women by 50%, but this U.S. Food and Drug Administration-approved prevention therapy is not often used. We attempted to identify genetic factors that contribute to variation in SERM breast cancer prevention, using DNA from the NSABP P-1 and P-2 breast cancer prevention trials. An initial discovery genome-wide association study identified common single-nucleotide polymorphisms (SNP) in or near the ZNF423 and CTSO genes that were associated with breast cancer risk during SERM therapy. We then showed that both ZNF423 and CTSO participated in the estrogen-dependent induction of BRCA1 expression, in both cases with SNP-dependent variation in induction. ZNF423 appeared to be an estrogen-inducible BRCA1 transcription factor. The OR for differences in breast cancer risk during SERM therapy for subjects homozygous for both protective or both risk alleles for ZNF423 and CTSO was 5.71. Significance: This study identified novel, functionally polymorphic genes involved in the estrogen-dependent regulation of BRCA1 expression, as well as a novel mechanism for genetic variation in SERM therapeutic effect. These observations, and definition of their underlying mechanisms, represent steps toward pharmacogenomically individualized SERM breast cancer prevention. Cancer Discov; 3(7); 812–25. ©2013 AACR. See related commentary by Machiela and Chanock, p. 728 This article is highlighted in the In This Issue feature, p. 705

Abstract Introduction: The NSABP P-1 and P-2 breast cancer prevention trials have demonstrated that the SERMs tamoxifen and raloxifene can reduce the risk of breast cancer in high risk women. Methods: We performed a nested matched case-control GWAS utilizing DNA from participants enrolled in P-1 and P-2. 592 participants developed invasive breast cancer or ductal carcinoma in situ, and were matched with 1171 controls who did not. Genome-wide genotyping with the Illumina 610-Quad chip and CYP2D6 genotyping for pertinent alleles were performed. Functional genomic studies involved the use of cultured cells, with siRNA knockdown, followed by qRT-PCR and Western blot analyses. Results: Eleven SNPs with p-values < 3E-05 were identified. Twenty one additional SNPs with p < 4E-05 were identified by imputation around the genotyped SNPs on chromosomes (Chrs) 4, 8, 9, 13, 16 and 22, which were then genotyped with the Invader platform. Initial functional genomic studies focused on 6 SNPs on Chr16 (p-values 1.81-9.55E-06), all of which were in ZNF423, a gene encoding a putative zinc-finger protein. The Chr16 minor variant SNP sequences had less risk than the common variant (OR=0.7). Our functional studies showed that incubation of Hs578T cells stably transfected with estrogen receptor (ER) α with 0.1 nM estradiol (E2) induced expression of ZNF423, BRCA1/2 for WT but not variant SNP sequences. There was also a striking difference between E2-induced ZNF423, BRCA1/2 expression for variant and WT SNPs in lymphoblastoid cell lines (LCLs) stably transfected with ERα, with only WT showing induction. ChIP assay showed that ZNF423 could bind to the 5’-flanking region of BRCA1, and reporter gene assays showed that ZNF423 could regulate BRCA1/2 transcription. In LCLs stably transfected with ERα and genotyped for ZNF423 SNPs, estrogen-dependent expression of all 3 genes occurred only in the presence of the WT, but not variant ZNF423 SNP sequences. Blockade of ERα with 4-OH tamoxifen prevented induction of expression in cells with WT sequences, but resulted in gene dose-dependent increases in BRCA1/2 expression in cells with variant SNP sequences-suggested that the minor variant has a “protective” effect during clinical SERM therapy and verified by ChIP assays. Conclusions: The SNPs in ZNF423 identified during GWAS were associated with differential E2-dependent induction of ZNF423, BRCA1 and BRCA2-implying that ZNF423 is “upstream” for the estrogen-dependent induction of BRCA1/2 expression. However, LCLs with variant SNP sequences showed greatly enhanced expression of ZNF423, BRCA1/2 during 4-OH tamoxifen exposure, while cells with WT sequences did not. These results may reveal a novel mechanism for SERM-dependent regulation of BRCA1/2 expression and may have implications for patient selection for SERM therapy. Funded by U10-CA37377, U10-CA69974 and U14-GM61388. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 4727. doi:10.1158/1538-7445.AM2011-4727

Abstract Introduction: Androstenedione is a precursor for estrogen biosynthesis catalyzed by aromatase. Plasma androstenedione concentrations in postmenopausal women with early stage breast cancer display large interindividual variation (Ingle et al., Cancer Res. 70:3278–86, 2010). We performed a GWAS to identify single nucleotide polymorphisms (SNPs) associated with plasma levels of androstenedione in 776 postmenopausal women with resected early stage breast cancer. Methods: Plasma androstenedione concentrations were measured by GC-MS/MS. GWAS was performed using Illumina Human610-Quad BeadChips. The GWAS results were controlled for population stratification (PS) by Eigenstrat analyses. Plasma androstenedione concentrations were associated with genotype by using a quasi-likelihood model with adjustment for PS, BMI, age and other clinical variables associated with androstenedione concentrations (p<0.01). Imputation using HapMap2 data was performed within 200 kb on either side of regions containing SNPs with p<E-05. Results: 563,945 SNPs were analyzed, followed by imputation. The genotyped SNP with the lowest p value, rs4736317 (p=4.61E-06), was on chromosome 8 near the CYP11B1 and CYP11B2 genes. This SNP had a multiplicative effect of 1.128 (95% Cl: 1.07, 1.19) and a MAF of 0.40. After imputation, 20 SNPs with apparent p<E-06 were observed in this same region, with the lowest p value for rs9773022 (p=8.1E-08). We then performed functional genomic studies, and observed that two of the SNPs with low p values (rs4736312, p=1.49E-05 and rs4736350, p=6.34E-06) created apparent Oct-1 transcription factor binding sites (TFBS). Differential nuclear protein binding of Oct-1 to probes for these SNPs was verified with EMS and supershift assays using nuclear extract from A549 and NCI-H295R cells. Treatment of these two cell lines with 10 nM androstenedione led to the disruption of Oct-1 binding with the A (wild type) allele on rs4736312. rs4736312 is located in the 3'-UTR of CYP11B1 15 bp distant from response elements for the progesterone receptor and the glucocorticoid receptor. We also demonstrated that CYP11B1 and CYP11B2 were induced by estradiol in U2OS cell lines that express ER receptor and by androstenedione in H295R cells that express the androgen receptor. Transfection of a reporter gene construct with the rs4736312 SNP sequences into COS-1 and H295R cells suppressed reporter gene activity for the variant SNP sequence as compared to wild type, an observation that may correlate with the higher plasma levels of androstenedione in women (549× 328 vs 410×208 mean×SD, M/ml) with the variant allele. Conclusion: We have identified a series of SNPs in a region of chromosome 8 in and around CYP11B1 and CYP11B2 that are associated with elevated plasma androstenedione concentrations in postmenopausal women with resected early stage breast cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2011 Nov 12-16; San Francisco, CA. Philadelphia (PA): AACR; Mol Cancer Ther 2011;10(11 Suppl):Abstract nr C114.

AbstractGene‐set analyses have been widely used in gene expression studies, and some of the developed methods have been extended to genome wide association studies (GWAS). Yet, complications due to linkage disequilibrium (LD) among single nucleotide polymorphisms (SNPs), and variable numbers of SNPs per gene and genes per gene‐set, have plagued current approaches, often leading to ad hoc “fixes.” To overcome some of the current limitations, we developed a general approach to scan GWAS SNP data for both gene‐level and gene‐set analyses, building on score statistics for generalized linear models, and taking advantage of the directed acyclic graph structure of the gene ontology when creating gene‐sets. However, other types of gene‐set structures can be used, such as the popular Kyoto Encyclopedia of Genes and Genomes (KEGG). Our approach combines SNPs into genes, and genes into gene‐sets, but assures that positive and negative effects of genes on a trait do not cancel. To control for multiple testing of many gene‐sets, we use an efficient computational strategy that accounts for LD and provides accurate step‐down adjustedP‐values for each gene‐set. Application of our methods to two different GWAS provide guidance on the potential strengths and weaknesses of our proposed gene‐set analyses.

Abstract Background and Aims: Cancer and Leukemia Group B 80303 was a randomized, phase III study in patients with advanced pancreatic cancer treated with gemcitabine plus either bevacizumab or placebo. We prospectively collected germline DNA and conducted a genome-wide association study (GWAS) using overall survival (OS) as the endpoint. Experimental Design: DNA from 351 patients was genotyped for more than 550,000 single-nucleotide polymorphisms (SNP). Associations between OS and SNPs were investigated using the log-linear 2-way multiplicative Cox proportional hazards model. The subset of 294 genetically European patients was used for the primary analysis. Results: A nonsynonymous SNP in interleukin (IL)17F (rs763780, H161R) and an intronic SNP in strong linkage disequilibrium (rs7771466) were associated with OS using genome-wide criteria (P ≤ 10−7). Median OS was significantly shorter (P = 2.61 × 10−8) for the rs763780 heterozygotes [3.1 months; 95% confidence interval (CI), 2.3–4.3] than for the patients without this variant (6.8 months; 95% CI, 5.8–7.3). After adjustment by stratification factors, the P value for the association was 9.51 × 10−7. Conclusions: The variant 161R form of IL-17F is a natural antagonist of the antiangiogenic effects of wild-type 161H IL-17F, and angiogenesis may play an important role in the metastatic spread of pancreatic cancer. In this preliminary study, we hypothesize that the angiogenetic potential of pancreatic cancers in patients with variant IL-17F is higher than that of tumors in patients with wild-type IL-17F, conferring worse prognosis. This exploratory GWAS may provide the foundation for testing the biology and clinical effects of novel genes and their heritable variants through mechanistic and confirmatory studies in pancreatic cancer. Clin Cancer Res; 18(2); 577–84. ©2011 AACR.