Eva Wozniak

A genome-wide association study identifies a new ovarian cancer susceptibility locus on 9p22.2

Epithelial ovarian cancer has a major heritable component, but the known susceptibility genes explain less than half the excess familial risk. We performed a genome-wide association study (GWAS) to identify common ovarian cancer susceptibility alleles. We evaluated 507,094 SNPs genotyped in 1,817 cases and 2,353 controls from the UK and ∼2 million imputed SNPs. We genotyped the 22,790 top ranked SNPs in 4,274 cases and 4,809 controls of European ancestry from Europe, USA and Australia. We identified 12 SNPs at 9p22 associated with disease risk (P < 10−8). The most significant SNP (rs3814113; P = 2.5 × 10−17) was genotyped in a further 2,670 ovarian cancer cases and 4,668 controls, confirming its association (combined data odds ratio (OR) = 0.82, 95% confidence interval (CI) 0.79–0.86, Ptrend = 5.1 × 10−19). The association differs by histological subtype, being strongest for serous ovarian cancers (OR 0.77, 95% CI 0.73–0.81, Ptrend = 4.1 × 10−21).

Hormone-receptor expression and ovarian cancer survival: an Ovarian Tumor Tissue Analysis consortium study

BACKGROUND Few biomarkers of ovarian cancer prognosis have been established, partly because subtype-specific associations might be obscured in studies combining all histopathological subtypes. We examined whether tumour expression of the progesterone receptor (PR) and oestrogen receptor (ER) was associated with subtype-specific survival. METHODS 12 studies participating in the Ovarian Tumor Tissue Analysis consortium contributed tissue microarray sections and clinical data to our study. Participants included in our analysis had been diagnosed with invasive serous, mucinous, endometrioid, or clear-cell carcinomas of the ovary. For a patient to be eligible, tissue microarrays, clinical follow-up data, age at diagnosis, and tumour grade and stage had to be available. Clinical data were obtained from medical records, cancer registries, death certificates, pathology reports, and review of histological slides. PR and ER statuses were assessed by central immunohistochemistry analysis done by masked pathologists. PR and ER staining was defined as negative (<1% tumour cell nuclei), weak (1 to <50%), or strong (≥50%). Associations with disease-specific survival were assessed. FINDINGS 2933 women with invasive epithelial ovarian cancer were included: 1742 with high-grade serous carcinoma, 110 with low-grade serous carcinoma, 207 with mucinous carcinoma, 484 with endometrioid carcinoma, and 390 with clear-cell carcinoma. PR expression was associated with improved disease-specific survival in endometrioid carcinoma (log-rank p<0·0001) and high-grade serous carcinoma (log-rank p=0·0006), and ER expression was associated with improved disease-specific survival in endometrioid carcinoma (log-rank p<0·0001). We recorded no significant associations for mucinous, clear-cell, or low-grade serous carcinoma. Positive hormone-receptor expression (weak or strong staining for PR or ER, or both) was associated with significantly improved disease-specific survival in endometrioid carcinoma compared with negative hormone-receptor expression, independent of study site, age, stage, and grade (hazard ratio 0·33, 95% CI 0·21-0·51; p<0·0001). Strong PR expression was independently associated with improved disease-specific survival in high-grade serous carcinoma (0·71, 0·55-0·91; p=0·0080), but weak PR expression was not (1·02, 0·89-1·18; p=0·74). INTERPRETATION PR and ER are prognostic biomarkers for endometrioid and high-grade serous ovarian cancers. Clinical trials, stratified by subtype and biomarker status, are needed to establish whether hormone-receptor status predicts response to endocrine treatment, and whether it could guide personalised treatment for ovarian cancer. FUNDING Carraresi Foundation and others.

BRCA1 and BRCA2 Mutation Prevalence and Clinical Characteristics of a Population-Based Series of Ovarian Cancer Cases from Denmark

Purpose: To evaluate the prevalence of BRCA1 and BRCA2 mutations and associations with clinical correlates of disease in a population-based series of ovarian cancer cases from Denmark. Methods: DNA sequencing and multiplex ligation-dependent probe amplification analysis were used to analyze the BRCA1 and BRCA2 genes for coding sequence mutations and large genomic rearrangements in 445 confirmed cases of ovarian cancer. We evaluated associations between mutation status and clinical characteristics, including cancer risks for first-degree relatives and clinicopathologic features of tumors. Results: Deleterious BRCA1 or BRCA2 mutations were identified in 26 cases; thus, mutations in these genes are responsible for at least 5.8% of ovarian cancer cases in this population. Five different mutations were identified in more than one individual, suggesting that they may be founder mutations in Denmark. We identified several differences between mutation carriers and noncarriers: mutation carriers were diagnosed at a significantly early age (median, 49 and 61 years, respectively; P = 0.0001); the frequency of BRCA1 mutation carriers was 23% for women diagnosed <40 years, 15% for 40 to 49 years, 4% for 50 to 59 years, and 2% for ≥60 years (P = 0.00002); ovarian cancer in carriers was diagnosed at a later stage (P = 0.002) and tumors were of poorer grade (P = 0.0001); and first-degree relatives of mutation carriers had greater relative risks of both ovarian cancer [10.6 (95% confidence interval, 4.2-26.6); P < 0.0001] and breast cancer <60 years [8.7 (95% confidence interval, 3.0-25.0); P < 0.0001]. Conclusion: These data may have a significant effect on risk assessment and clinical management of individuals from Denmark who are predisposed to ovarian cancer because they carry a BRCA1 or BRCA2 mutation.

Biomarker-Based Ovarian Carcinoma Typing: A Histologic Investigation in the Ovarian Tumor Tissue Analysis Consortium

Background: Ovarian carcinoma is composed of five major histologic types, which associate with outcome and predict therapeutic response. Our aim was to evaluate histologic type assessments across the centers participating in the Ovarian Tumor Tissue Analysis (OTTA) consortium using an immunohistochemical (IHC) prediction model. Methods: Tissue microarrays (TMA) and clinical data were available for 524 pathologically confirmed ovarian carcinomas. Centralized IHC was conducted for ARID1A, CDKN2A, DKK1, HNF1B, MDM2, PGR, TP53, TFF3, VIM, and WT1, and three histologic type assessments were compared: the original pathologic type, an IHC-based calculated type (termed TB_COSPv2), and a WT1-assisted TMA core review. Results: The concordance between TB_COSPv2 type and original type was 73%. Applying WT1-assisted core review, the remaining 27% discordant cases subdivided into unclassifiable (6%), TB_COSPv2 error (6%), and original type error (15%). The largest discordant subgroup was classified as endometrioid carcinoma by original type and as high-grade serous carcinoma (HGSC) by TB_COSPv2. When TB_COSPv2 classification was used, the difference in overall survival of endometrioid carcinoma compared with HGSC became significant [RR 0.60; 95% confidence interval (CI), 0.37–0.93; P = 0.021], consistent with previous reports. In addition, 71 cases with unclear original type could be histologically classified by TB_COSPv2. Conclusions: Research cohorts, particularly those across different centers within consortia, show significant variability in original histologic type diagnosis. Our IHC-based reclassification produced more homogeneous types with respect to outcome than original type. Impact: Biomarker-based classification of ovarian carcinomas is feasible, improves comparability of results across research studies, and can reclassify cases which lack reliable original pathology. Cancer Epidemiol Biomarkers Prev; 22(10); 1677–86. ©2013 AACR.

Common alleles in candidate susceptibility genes associated with risk and development of epithelial ovarian cancer

Common germline genetic variation in the population is associated with susceptibility to epithelial ovarian cancer. Microcell‐mediated chromosome transfer and expression microarray analysis identified nine genes associated with functional suppression of tumorogenicity in ovarian cancer cell lines; AIFM2, AKTIP, AXIN2, CASP5, FILIP1L, RBBP8, RGC32, RUVBL1 and STAG3. Sixty‐three tagging single nucleotide polymorphisms (tSNPs) in these genes were genotyped in 1,799 invasive ovarian cancer cases and 3,045 controls to look for associations with disease risk. Two SNPs in RUVBL1, rs13063604 and rs7650365, were associated with increased risk of serous ovarian cancer [HetOR = 1.42 (1.15–1.74) and the HomOR = 1.63 (1.10–1.42), p‐trend = 0.0002] and [HetOR = 0.97 (0.80–1.17), HomOR = 0.74 (0.58–0.93), p‐trend = 0.009], respectively. We genotyped rs13063604 and rs7650365 in an additional 4,590 cases and 6,031 controls from ten sites from the United States, Europe and Australia; however, neither SNP was significant in Stage 2. We also evaluated the potential role of tSNPs in these nine genes in ovarian cancer development by testing for allele‐specific loss of heterozygosity (LOH) in 286 primary ovarian tumours. We found frequent LOH for tSNPs in AXIN2, AKTIP and RGC32 (64, 46 and 34%, respectively) and one SNP, rs1637001, in STAG3 showed significant allele‐specific LOH with loss of the common allele in 94% of informative tumours (p = 0.015). Array comparative genomic hybridisation indicated that this nonrandom allelic imbalance was due to amplification of the rare allele. In conclusion, we show evidence for the involvement of a common allele of STAG3 in the development of epithelial ovarian cancer.

Tagging single-nucleotide polymorphisms in candidate oncogenes and susceptibility to ovarian cancer.

Low–moderate risk alleles that are relatively common in the population may explain a significant proportion of the excess familial risk of ovarian cancer (OC) not attributed to highly penetrant genes. In this study, we evaluated the risks of OC associated with common germline variants in five oncogenes (BRAF, ERBB2, KRAS, NMI and PIK3CA) known to be involved in OC development. Thirty-four tagging SNPs in these genes were genotyped in ∼1800 invasive OC cases and 3000 controls from population-based studies in Denmark, the United Kingdom and the United States. We found no evidence of disease association for SNPs in BRAF, KRAS, ERBB2 and PIK3CA when OC was considered as a single disease phenotype; but after stratification by histological subtype, we found borderline evidence of association for SNPs in KRAS and BRAF with mucinous OC and in ERBB2 and PIK3CA with endometrioid OC. For NMI, we identified a SNP (rs11683487) that was associated with a decreased risk of OC (unadjusted Pdominant=0.004). We then genotyped rs11683487 in another 1097 cases and 1792 controls from an additional three case–control studies from the United States. The combined odds ratio was 0.89 (95% confidence interval (CI): 0.80–0.99) and remained statistically significant (Pdominant=0.032). We also identified two haplotypes in ERBB2 associated with an increased OC risk (Pglobal=0.034) and a haplotype in BRAF that had a protective effect (Pglobal=0.005). In conclusion, these data provide borderline evidence of association for common allelic variation in the NMI with risk of epithelial OC.

Recruitment of newly diagnosed ovarian cancer patients proved challenging in a multicentre biobanking study

OBJECTIVE To explore the challenges of recruiting ovarian cancer patients and healthy controls to a cancer biobanking study. STUDY DESIGN AND SETTING The study was set up in gynecological cancer centers in 10 National Health Service trusts across the United Kingdom. Women were approached if they were undergoing investigations/awaiting treatment for ovarian cancer, had a previous diagnosis of ovarian cancer, or were attending for annual screening in an ovarian cancer screening trial. Those who consented completed a detailed epidemiologic questionnaire, provided blood and tissue samples if appropriate. RESULTS The overall proportion of those recruited compared with the expected targets was 76.4% for healthy controls, 86.0% for old cases, and 46.9% for new cases. Only 4 of 10 (40%) centers recruited over 50% of their target for new cases. Unwillingness to participate was reported as primarily because of patients being too unwell, wanting to focus only on their treatment, or having insufficient time because of conflicting medical appointments. Concerns about use of personal data or tissue and blood samples for genetic research and lack of direct benefit were reported as significant challenges to recruitment. CONCLUSION When setting recruitment targets for patients undergoing investigations or awaiting treatment for cancer (new cases), it is important to consider lower response rates because of various patient, logistical, and trial-specific challenges.

Association between common germline genetic variation in 94 candidate genes or regions and risks of invasive epithelial ovarian cancer.

Background Recent studies have identified several single nucleotide polymorphisms (SNPs) in the population that are associated with variations in the risks of many different diseases including cancers such as breast, prostate and colorectal. For ovarian cancer, the known highly penetrant susceptibility genes (BRCA1 and BRCA2) are probably responsible for only 40% of the excess familial ovarian cancer risks, suggesting that other susceptibility genes of lower penetrance exist. Methods We have taken a candidate approach to identifying moderate risk susceptibility alleles for ovarian cancer. To date, we have genotyped 340 SNPs from 94 candidate genes or regions, in up to 1,491 invasive epithelial ovarian cancer cases and 3,145 unaffected controls from three different population based studies from the UK, Denmark and USA. Results After adjusting for population stratification by genomic control, 18 SNPs (5.3%) were significant at the 5% level, and 5 SNPs (1.5%) were significant at the 1% level. The most significant association was for the SNP rs2107425, located on chromosome 11p15.5, which has previously been identified as a susceptibility allele for breast cancer from a genome wide association study (P-trend = 0.0012). When SNPs/genes were stratified into 7 different pathways or groups of validation SNPs, the breast cancer associated SNPs were the only group of SNPs that were significantly associated with ovarian cancer risk (P-heterogeneity = 0.0003; P-trend = 0.0028; adjusted (for population stratification) P-trend = 0.006). We did not find statistically significant associations when the combined data for all SNPs were analysed using an admixture maximum likelihood (AML) experiment-wise test for association (P-heterogeneity = 0.051; P-trend = 0.068). Conclusion These data suggest that a proportion of the SNPs we evaluated were associated with ovarian cancer risk, but that the effect sizes were too small to detect associations with individual SNPs.

Association Study of Prostate Cancer Susceptibility Variants with Risks of Invasive Ovarian, Breast, and Colorectal Cancer

Several prostate cancer susceptibility loci have recently been identified by genome-wide association studies. These loci are candidates for susceptibility to other epithelial cancers. The aim of this study was to test these tag single nucleotide polymorphisms (SNP) for association with invasive ovarian, colorectal, and breast cancer. Twelve prostate cancer-associated tag SNPs were genotyped in ovarian (2,087 cases/3,491 controls), colorectal (2,148 cases/2,265 controls) and breast (first set, 4,339 cases/4,552 controls; second set, 3,800 cases/3,995 controls) case-control studies. The primary test of association was a comparison of genotype frequencies between cases and controls, and a test for trend stratified by study where appropriate. Genotype-specific odds ratios (OR) were estimated by logistic regression. SNP rs2660753 (chromosome 3p12) showed evidence of association with ovarian cancer [per minor allele OR, 1.19; 95% confidence interval (95% CI), 1.04-1.37; P(trend) = 0.012]. This association was stronger for the serous histologic subtype (OR, 1.29; 95% CI, 1.09-1.53; P = 0.003). SNP rs7931342 (chromosome 11q13) showed some evidence of association with breast cancer (per minor allele OR, 0.95; 95% CI, 0.91-0.99; P(trend) = 0.028). This association was somewhat stronger for estrogen receptor-positive tumors (OR, 0.92; 95% CI, 0.87-0.98; P = 0.011). None of these tag SNPs were associated with risk of colorectal cancer. In conclusion, loci associated with risk of prostate cancer may also be associated with ovarian and breast cancer susceptibility. However, the effects are modest and warrant replication in larger studies.

Abstract 2928: Functional effects of SNPs in non-coding RNAs at the 3q25 ovarian cancer susceptibility locus

Genome-wide association studies have identified six common, low penetrance susceptibility loci for epithelial ovarian cancer (EOC). The functional mechanisms underlying disease susceptibility at these loci are unknown. SNPs at the 3q25 locus confer a 1.2-fold risk of serous EOC (P=7.1x10-8). To identify causal SNP(s) we used the 1000 genomes project to identify 952 correlated SNPs within a 884kb linkage disequilibrium region. Of these, 786 tagging SNPs were genotyped in ∼20,000 invasive EOC cases and 20,000 controls. Fine mapping limited the size of the risk region to ∼130kb and 43 possible causal SNPs. This region contains four protein-coding genes; none of the 43 SNPs was predicted to have a functional effect on the translated protein. Genomic profiling data from The Cancer Genome Atlas analysis of ∼500 serous EOCs indicated one gene in the region (TIPARP) was significantly down regulated compared to normal tissues (P=0.005). Using RT-PCR expression analysis, we found significantly lower TIPARP expression in EOC cell lines (N=37) compared to normal ovarian surface epithelial (OSE) and fallopian tube epithelial (FTE) cell lines (N=39) (P=1.57x10-8). TIPARP was also significantly downregulated in an in vitro model of early stage transformation of OSE cells (P=0.0003). Collectively, these data suggest that TIPARP is a novel tumor suppressor gene (TSG) in EOC development. TIPARP is a poly(ADP-ribose) polymerase known to catalyze histone ribosylation, an epigenetic modification that plays a role in DNA repair. We evaluated its functional significance in more detail using stable lentiviral-mediated shRNA knockdown of TIPARP in normal OSE/FTE cells. TIPARP knockdown induced cellular senescence similar to the effects of many classical TSG knockdowns in normal cells. We hypothesized that TIPARP may be involved in cellular response to DNA damage; when normal OSE/FTE cells were exposed to α-irradiation TIPARP was significantly upregulated in a dose-dependent manner. We examined the functional link between susceptibility SNPs and TiPARP expression. Of 43 putative causal SNPs, four fell within two non-coding RNAs- LOC730091 and TIPARP-AS1. There is no homology between LOC730091 and genes at the 3q25 locus; but TIPARP-ASI is a non-coding RNA with antisense sequence similarity to exon 1 of TIPARP. LOC730091 and TIPARP-AS1 were variably expressed in both normal ovarian and EOC cell lines. We found no correlation between LOC730091 and TIPARP expression; but cell lines expressing TIPARP-AS1 showed significantly reduced TIPARP expression. In summary, fine mapping at the 3q25 has identified multiple possible causal SNPs. Functional studies implicate TIPARP as a plausible target TSG in this region. EOC risk associated SNPs were located in a non-coding RNA that causes reduced expression of TIPARP suggesting a mechanism by which susceptibility SNPs may confer neoplastic transformation of ovarian epithelial cells. 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 2928. doi:1538-7445.AM2012-2928