Bowtell, David D.L.

Abstract Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70 917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46 450 breast cancer cases and 42 461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P < 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P < 10−4) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P < 10−8. Results from the second analytic approach were consistent with those from the first (P > 10−10). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.

AbstractMucinous ovarian carcinomas (MCs) typically do not respond to current conventional therapy. We have previously demonstrated amplification of HER2 in 6 of 33 (18.2%) mucinous ovarian carcinomas (MCs) and presented anecdotal evidence of response with HER2‐targeted treatment in a small series of women with recurrent HER2‐amplified (HER2+) MC. Here, we explore HER2 amplification and KRAS mutation status in an independent cohort of 189 MCs and 199 mucinous borderline ovarian tumours (MBOTs) and their association to clinicopathological features. HER2 status was assessed by immunohistochemistry (IHC), FISH, and CISH, and interpreted per ASCO/CAP guidelines, with intratumoural heterogeneity assessment on full sections, where available. KRAS mutation testing was performed with Sanger sequencing. Stage and grade were associated with recurrence on both univariate and multivariate analysis (p < 0.001). Assessment of HER2 status revealed overexpression/amplification of HER2 in 29/154 (18.8%) MCs and 11/176 (6.2%) MBOTs. There was excellent agreement between IHC, FISH, and CISH assessment of HER2 status (perfect concordance of HER2 0 or 1+ IHC with non‐amplified status, and 3+ IHC with amplified status). KRAS mutations were seen in 31/71 (43.6%) MCs and 26/33 (78.8%) MBOTs, and were near mutually exclusive of HER2 amplification. In the 189 MC cases, a total of 54 recurrences and 59 deaths (53 of progressive disease) were observed. Within MCs, either HER2 amplification/overexpression or KRAS mutation was associated with decreased likelihood of disease recurrence (p = 0.019) or death (p = 0.0041) when compared to cases with neither feature. Intratumoural heterogeneity was noted in 26% of HER2‐overexpressing cases. These data support the stratification of MCs for the testing of new treatments, with HER2‐targeted therapy as a viable option for HER2+ advanced or recurrent disease. Further research is required to delineate the molecular and clinical features of the ∼34% of MC cases with neither HER2 amplification nor KRAS mutations.

Abstract Background: The five year survival rate for women with ovarian cancer (OC) is less than 40%. Crucial to improving the outcomes for ovarian cancer patients is the development of accurate pre-clinical models of human epithelial OC, which can be used to unravel the mechanisms underlying its evolution and behaviour. Methods: We have generated a novel xenograft model of human high-grade serous OC (HG-SOC) in order to enable preclinical molecular and drug response assessment of individual HG-SOC: this includes a comparison of standard OC xeno-transplantion approaches (intra-peritoneal, subcutaneous and sub renal capsular), with the novel use of the rodent ovarian bursa, the orthotopic site. Utilising the rodent bursa may better replicate the relevant microenvironment and increase the success of EOC xeno-transplantion. Other aspects designed to optimize the model include the use of NOD-SCID-IL-2rg recipient mice, systemic estrogen supplementation and transplantation of fresh human HG-SOC fragments which have had no prior in vitro culture. Histological, functional and molecular analysis of the novel xenograft cohort (at baseline and following xenotransplantation) includes histological review; documentation of in vitro Homologous Recombination (HR) DNA repair and drug response capabilities (using novel α-irradiation and explant drug assays); classification according to molecular subtype (Tothill classfier); documentation of NHEJ pathway status, BRCA1/2 status and other DNA repair gene status. In vivo drug treatment studies are being performed, with the choice of treatment targeted to the specific molecular characteristics of the HG-SOC in question. Results: Fourteen consecutive chemotherapy naive potentially HG-SOC samples have been collected. Corresponding clinical data has been collected. Data concerning DNA repair capability and response to DNA damaging agents will be presented, including IHC for markers of DNA damage (γH2AX), DNA repair (RAD51) and apoptosis (capsase 3 cleavage). HG-SOC in this cohort have been classified according to Tothilll (Tothill et al 2008). Eight appropriate HG-SOC have been transplanted and 5 of the first 6 have successfully xenografted, with phenotyping of xenografts underway. In vivo analysis of response to cisplatin treatment and other relevant therapeutics will be presented. Conclusions: A novel xenograft model has been developed of human HG-SOC, which includes comparative characterization of important prognostic features both in the baseline panel of fresh human HG-SOC and in subsequent xenografts. This clinically, functionally and molecularly annotated consecutive xenograft cohort of HG-SOC will provide outstanding utility for the development of improved therapeutic approaches. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3276. doi:1538-7445.AM2012-3276

AbstractOver 22,000 cases of ovarian cancer were diagnosed in 2007 in the United States, but only a fraction of them can be attributed to mutations in highly penetrant genes such as BRCA1. To determine whether low-penetrance genetic variants contribute to ovarian cancer risk, we genotyped 1,536 single nucleotide polymorphisms (SNP) in several candidate gene pathways in 848 epithelial ovarian cancer cases and 798 controls in the North Carolina Ovarian Cancer Study (NCO) using a customized Illumina array. The inflammation gene interleukin-18 (IL18) showed the strongest evidence for association with epithelial ovarian cancer in a gene-by-gene analysis (P = 0.002) with a &lt;25% chance of being a false-positive finding (q value = 0.240). Using a multivariate model search algorithm over 11 IL18 tagging SNPs, we found that the association was best modeled by rs1834481. Further, this SNP uniquely tagged a significantly associated IL18 haplotype and there was an increased risk of epithelial ovarian cancer per rs1834481 allele (odds ratio, 1.24; 95% confidence interval, 1.06-1.45). In a replication stage, 12 independent studies from the Ovarian Cancer Association Consortium (OCAC) genotyped rs1834481 in an additional 5,877 cases and 7,791 controls. The fixed effects estimate per rs1834481 allele was null (odds ratio, 0.99; 95% confidence interval, 0.94-1.05) when data from the 12 OCAC studies were combined. The effect estimate remained unchanged with the addition of the initial North Carolina Ovarian Cancer Study data. This analysis shows the importance of consortia, like the OCAC, in either confirming or refuting the validity of putative findings in studies with smaller sample sizes. (Cancer Epidemiol Biomarkers Prev 2008;17(12):3567–72)