Nathanson, Katherine L.

Abstract Sequencing tests assaying panels of genes or whole exomes are widely available for cancer risk evaluation. However, methods for classification of variants resulting from this testing are not well studied. We evaluated the ability of American College of Medical Genetics and Genomics (ACMG) guidelines to define the rate of mutations and variants of uncertain significance (VUS) in 180 medically relevant genes, including all ACMG designated reportable cancer and non-cancer genes, in individuals who met guidelines for hereditary cancer risk evaluation. We performed whole exome sequencing in 404 individuals in 257 families and classified 1640 variants from these genes. Potentially clinically actionable (likely-pathogenic/pathogenic, LP/P) versus nonactionable (VUS/likely-benign/benign) calls were 92% and 88% concordant with locus specific databases and Clinvar, respectively. LP/P mutations were identified in 11 of 25 breast cancer susceptibility genes in 27 BRCA1/2 negative families (11%). Evaluation of 84 additional autosomal dominant cancer susceptibility genes identified LP/P mutations in only four additional families (1.7%), suggesting they do not influence risk in this cohort. However, individuals from nine of 257 families (3.5%) had incidental LP/P mutations in 32 non-cancer disease genes, and 7% of individuals were monoallelic carriers of an LP/P mutation in 39 autosomal recessive cancer syndrome genes. Furthermore, 90% of individuals had at least one VUS. In summary, these data support the clinical utility of ACMG variant classification guidelines. In addition, evaluation of extended panels of cancer genes in breast/ovarian cancer families leads to only an incremental clinical benefit but substantially increases the complexity of the results. Citation Format: Kara N. Maxwell, Steven N. Hart, Joseph Vijai, Kasmintan A. Schrader, Tinu Thomas, Bradley Wubbenhorst, Vignesh Ravichandran, Raymond M. Moore, Chunling Hu, Lucia Guidugli, Brandon Wenz, Thomas P. Slavin, Susan M. Domchek, Mark E. Robson, Csilla Szabo, Susan L. Neuhausen, Jeffrey N. Weitzel, Kenneth Offit, Fergus J. Couch, Katherine L. Nathanson. Evaluation of ACMG guideline classified variants in 180 cancer and incidental non-cancer genes in families with breast/ovarian cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 5220.

Abstract Genome wide association studies (GWAS) have mapped multiple independent cancer risk loci (n = 6) to a small region on chr5p15.33 for at least ten distinct cancers, including bladder, breast, glioma, lung, melanoma, non-melanoma skin, ovarian, pancreas, prostate, and testicular germ cell cancer. This region harbors two plausible target genes, TERT which encodes the catalytic subunit of telomerase reverse transcriptase which maintains chromosome ends by adding telomeres repeats, and CLPTM1L which encodes the cleft lip and palate transmembrane protein 1-like protein which promotes cancer cell growth, protect cells from apoptosis, and can induce abnormal cytokinesis. The most significant pancreatic cancer GWAS SNP on chr5p15.33 was rs401681 (P = 3.7×10−7, OR = 1.19), located in the 13th intron of the CLPTM1L gene and within the independent multi-cancer risk locus in this region most distant from TERT. Imputation and fine mapping in pancreatic cancer resolved this signal by three orders of magnitude (P = 1.4×10−10, OR = 1.30) to a set of seven highly correlated SNPs. Electrophoretic mobility shift assays (EMSA) and luciferase assays across these SNPs led us to a single SNP, rs36115365, that showed allele-specific effects in both assays and overlapped with prominent ENCODE marks indicating regulatory potential. Examining this SNP across cell lines derived from multiple types of cancer linked to this locus, specifically pancreatic, testicular, lung, and melanoma, established a consistent pattern of a specific protein binding and enhanced regulatory activity for the risk allele across eight cancer cell lines (two cell lines per cancer type). siRNA-based targeting of the putative gene regulatory-region harboring rs36115365 resulted in a strong inhibition of TERT expression (average 60%, range 45-85%) but no effect on CLPTM1L expression. This inhibition of TERT expression was stronger from the pancreatic cancer risk as compared to the protective allele. Quantitative mass spectrometry identified Zinc finger protein 148 (ZNF148) as the protein specifically binding the risk allele, further supported by direct and allele-specific binding of purified recombinant ZNF148 in EMSA assays. Lastly, siRNA-mediated knockdown of ZNF148 resulted in significant reduction of TERT but not CLPTM1L expression across multiple cancer cell lines. Our results indicate that the pancreatic cancer GWAS signal at the single independent chr5p15.33 multi-cancer risk locus most distant from TERT may be explained by a single SNP that influences TERT expression via ZNF148. Citation Format: Kevin M. Brown, Jun Fang, Jinping Jia, Zhaoming Wang, Matthew Makowski, Tongwu Zhang, Jason Hoskins, Jiyeon Choi, Younghun Han, Mingfeng Zhang, Mai Xu, Peter Kanetsky, Andresson Thorkell, Gloria M. Petersen, Katherine L. Nathanson, Christopher I. Amos, Maria T. Landi, Stephen J. Chanock, Michiel Vermeulen, Laufey T. Amundadottir. Functional characterization of a multicancer risk locus on chr5p15.33 reveals regulation of TERT by ZNF148. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4610. doi:10.1158/1538-7445.AM2015-4610

Abstract Germline mutations of BRCA1 and BRCA2 underlie joint susceptibility to breast and ovarian cancers, but do not account for all cases. Genome wide association studies show little overlap between common variants associated with breast and ovarian cancer susceptibility, whereas rare variants in genes initially identified as breast cancer susceptibility genes also confer susceptibility to ovarian cancer cases, unselected for breast cancer. Ovarian and breast tumors also are observed in Peutz-Jeghers and possibly in Lynch syndrome. To further elucidate rare germline susceptibilities for breast and ovarian cancer, we have ascertained a unique cohort of 90 BRCA1/2-negative probands with a personal history of breast cancer and ovarian/fallopian tube/peritoneal cancer, unselected for family history. Cases are from the clinical genetics services of Memorial Sloan-Kettering Cancer Center and University of Pennsylvania. Analysis is ongoing using both targeted and exome sequencing approaches. Germline DNA of 69 cases will be subjected to whole exome sequencing. A total of 21 additional cases will undergo targeted sequencing for 28 genes (8 cases) and an extended panel of 54 genes (13 cases). The majority of ovarian cancers are high-grade serous epithelial ovarian carcinoma (n=51), in combination with invasive ductal or DCIS (n=36), invasive lobular (n=4), or unspecified (n=11) breast cancers. The remaining ovarian subgroups comprise other epithelial subtypes; endometrioid (n=9), clear cell (n=3), mucinous and low-grade serous (n=3) and non-epithelial (n=4) or unclassified (n=20), in combination with invasive ductal or DCIS (n=21), invasive lobular (n=5) or unspecified (n=13) breast cancers. Preliminary analysis of the targeted set of genes in 69 cases, reveals 43 predicted pathogenic coding or splice site variants; 17 of which are within PALB2, MSH2, MSH6, BARD1, FANCE, CDKN2A, TP53, SETD2, SIRT1, BRIP1, RAD50, and RAD51D and are not seen in dbSNP138, 1000 Genomes or Exome Variant Server ESP6500 and 26 variants with reported frequencies in MUTYH, MSH6, MLH1, FAM175A, RAD50, UIMC1, JARID2, PHF3, SIRT1, MRE11A, ATM, BRCA2, TP53BP1, CDH1, RAD51D, BRCA1, BABAM1 of less than 1% allele frequency in public databases. Analysis of these variants across and within histologic subtypes is being undertaken to look for specific genotype-phenotype correlations. Analysis of novel candidate genes and pathways by co-segregation, functional analysis, as well as external replication is underway to determine whether shared rare variants, mutated genes, or altered pathways confer cancer susceptibility in this cohort. Germline susceptibility to breast and ovarian cancer is heterogenous and remains a critical research and clinical question. Improved understanding of the susceptibility genetics will allow further examination of the utility of targeted cancer prevention strategies in those who are found to be at risk. Citation Format: Kasmintan A. Schrader, Kara N. Maxwell, Joseph Vijai, Steven Hart, Tinu Thomas, Bradley Wubbenhorst, Lucia Guidugli, Robert Klein, Marina Corines, Liying Zhang, Susan Neuhausen, Jeffrey Weitzel, Namrata Gupta, Larry Norton, Clifford Hudis, Gad Getz, Mark Daly, Steven Lipkin, David Altshuler, Fergus Couch, Katherine Nathanson, Kenneth Offit. Determination of cancer susceptibility in probands with breast and ovarian cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 3282. doi:10.1158/1538-7445.AM2014-3282

Abstract Massively parallel next generation sequencing data (NGS) has proved to be useful in identification of rare Mendelian disorders. Efforts are on-going to use NGS for discovery of novel rare variants in common disease etiology. Distinguishing rare private mutations from causal variants remains a major challenge in complex disorders. With decreasing cost, investigators are generating NGS data for common cancers. However, power and other considerations suggest that a consortia approach of pooling data is more likely to succeed where individual efforts fail. Combining data within such consortia brings its own level of challenges. We enumerate these challenges and suggest recommendations based on our experience of combining and harmonizing NGS data on 358 breast cancer samples from four centers; (City of Hope n=8, Mayo Clinic n=221, MSKCC n=96 and University of Pennsylvania n=33). Major concerns were ability of individual datasets to discover known and novel variations, depth of coverage across the exome, and quality of variants. Using pre- and post-processed data, we demonstrate an increased power for detecting variants when using a joint-calling method, quality control (QC) and quality assurance pre- and post-merge, as well as the advantages of combined annotations and filtering procedures. To generate a filtered list of high confident calls, we subset the data on Depth per Allele (DP), Genotyping Quality (GQ), Allele balance, Phred likelihood score (PL) as well as using frequency filters on the alternate allele both within the data and comparing against convenience control summaries. We describe general principles and QC measures to be adopted when NGS data is used from diverse sources, specifically applicable to large consortia. Note: This abstract was not presented at the meeting. Citation Format: Joseph Vijai, Steven Hart, Tinu Thomas, Bradley Wubbenhorst, Lucia Guidugli, Kasmintan Schrader, Kara Maxwell, Lauren Jacobs, Danylo Villano, Robert Klein, Steven Lipkin, Susan Neuhausen, Jeffrey Weitzel, David Altshuler, Fergus Couch, Kenneth Offit, Katherine Nathanson. Harmonization of next generation sequencing data within consortia for gene discovery in familial breast cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2378. doi:10.1158/1538-7445.AM2014-2378

Abstract BRCA1 and BRCA2 (BRCA) testing is uninformative in approximately 80% of families with clinical features of inherited susceptibility to breast cancer. Early identification of the individuals at risk in BRCAx families may lead to enhanced screening and prevention strategies, and potentially improved overall survival as has been seen for carriers of BRCA1/2 mutations. A proportion of these families are likely explained by mutations in other high penetrance and moderate penetrance breast cancer susceptibility genes. Although multi-gene panels are now commercially available for clinical testing, only limited information is available on the spectrum of mutations in breast cancer susceptibility genes in specific subgroups of high-risk breast cancer patients. We performed whole exome sequencing in 278 BRCA1/2 negative individuals with high-risk familial breast cancer, defined as a proband and at least two first or second degree relatives with breast cancer. Samples included 232 individuals from 97 families and 49 unrelated individuals, for a total of 146 independent cases. Data were analyzed for identification of all variants in 18 known high and moderate penetrance breast cancer susceptibility genes, in addition to BRCA1 and BRCA2. Two of the 97 families and one of the 49 singletons (2% of independent cases) were found to have deleterious mutations in high penetrance genes, namely TP53 (2) and CDH1 (1). In addition, nine of 146 independent cases (6%) were found to have deleterious mutations in the other predisposition genes. Mutations in ATM and CHEK2 accounted for seven of the ten moderate penetrance mutations identified; additionally one family had a mutation in BLM, one in MRE11A, and one in PALB2. Furthermore, 15 of 146 independent cases (10%) were found to have variants of unknown significance (VUS) in one of eight genes. There were no deleterious mutations or VUS in eight of the 18 genes. Our data show that significant genetic heterogeneity exists in BRCAx families. Large-scale collaborative efforts will be required to attain sufficient power to understand how to appropriately apply these results clinically in cancer risk evaluation. Citation Format: Kara N. Maxwell, Lucia Guidugli, Kasmintan Schrader, Steven Hart, Vijai Joseph, Tinu Thomas, Xianshu Wang, Bradley Wubbenhorst, Robert Klein, Susan M. Domchek, Csilla Szabo, Susan Neuhausen, Jeffrey Weitzel, Katherine L. Nathanson, Kenneth Offit, Fergus Couch. High and moderate penetrance germline mutations in a number of genes are responsible for a small proportion of familial breast cancer risk in BRCAx families. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1291. doi:10.1158/1538-7445.AM2014-1291

Abstract Background:BRCA1 and BRCA2 mutation carriers are at substantially increased risk for developing breast and ovarian cancer. The incomplete penetrance coupled with the variable age at diagnosis in carriers of the same mutation suggests the existence of genetic and nongenetic modifying factors. In this study, we evaluated the putative role of variants in many candidate modifier genes. Methods: Genotyping data from 15,252 BRCA1 and 8,211 BRCA2 mutation carriers, for known variants (n = 3,248) located within or around 445 candidate genes, were available through the iCOGS custom-designed array. Breast and ovarian cancer association analysis was performed within a retrospective cohort approach. Results: The observed P values of association ranged between 0.005 and 1.000. None of the variants was significantly associated with breast or ovarian cancer risk in either BRCA1 or BRCA2 mutation carriers, after multiple testing adjustments. Conclusion: There is little evidence that any of the evaluated candidate variants act as modifiers of breast and/or ovarian cancer risk in BRCA1 or BRCA2 mutation carriers. Impact: Genome-wide association studies have been more successful at identifying genetic modifiers of BRCA1/2 penetrance than candidate gene studies. Cancer Epidemiol Biomarkers Prev; 24(1); 308–16. ©2014 AACR.

The cloning of the breast cancer susceptibility genes BRCA1 and BRCA2 nearly two decades ago helped set in motion an avalanche of research exploring how genomic information can be optimally applied to identify and clinically care for individuals with a high risk of developing cancer. Genetic testing for mutations in BRCA1 , BRCA2 , and other breast cancer susceptibility genes has since proved to be a valuable tool for determining eligibility for enhanced screening and prevention strategies, as well as for identifying patients most likely to benefit from a targeted therapy. Here, we discuss the landscape of inherited mutations and sequence variants in BRCA1 and BRCA2 , the complexities of determining disease risk when the pathogenicity of sequence variants is uncertain, and current strategies for clinical management of women who carry BRCA1/2 mutations.

Abstract BRCA1 and BRCA2 are the most important breast and ovarian cancer susceptibility genes. Biallelic mutations in BRCA2 can lead to Fanconi anemia and predisposition to cancers, whereas biallelic BRCA1 mutations have not been confirmed, presumably because one wild-type BRCA1 allele is required during embryogenesis. This study describes an individual who was diagnosed with ovarian carcinoma at age 28 and found to have one allele with a deleterious mutation in BRCA1, c.2457delC (p.Asp821Ilefs*25), and a second allele with a variant of unknown significance in BRCA1, c.5207T>C (p.Val1736Ala). Medical records revealed short stature, microcephaly, developmental delay, and significant toxicity from chemotherapy. BRCA1 p.Val1736Ala cosegregated with cancer in multiple families, associated tumors showed loss of wild-type BRCA1, and BRCA1 p.Val1736Ala showed reduced DNA damage localization. These findings represent the first validated example of biallelic deleterious human BRCA1 mutations and have implications for the interpretation of genetic test results. Significance: Accurate assessment of genetic testing data for BRCA1 mutations is essential for clinical monitoring and treatment strategies. Here, we report the first validated example of an individual with biallelic BRCA1 mutations, early-onset ovarian cancer, and clinically significant hypersensitivity to chemotherapy. Cancer Discov; 3(4); 399–405. ©2012 AACR. See related commentary by D'Andrea, p. 376 This article is highlighted in the In This Issue feature, p. 363

Abstract The relevance of many BRCA2 variants of uncertain significance (VUS) to breast cancer has not been determined due to limited genetic information from families carrying these alterations. Here, we classified six new variants as pathogenic or nonpathogenic by analysis of genetic information from families carrying 64 individual BRCA2 DNA binding domain (DBD) missense mutations using a multifactorial likelihood model of cancer causality. Next, we evaluated the use of a homology-directed DNA break repair (HDR) functional assay as a method for inferring the clinical relevance of VUS in the DBD of BRCA2 using 18 established nonpathogenic missense variants and all 13 established pathogenic missense mutations from the BRCA2 DBD. Compared with the known status of these variants based on the multifactorial likelihood model, the sensitivity of the HDR assay for pathogenic mutations was estimated at 100% [95% confidence interval (CI): 75.3%–100%] and specificity was estimated at 100% (95% CI: 81.5%–100%). A statistical classifier for predicting the probability of pathogenicity of BRCA2 DBD variants was developed using these functional results. When applied to 33 additional VUS, the classifier identified eight with 99% or more probability of nonpathogenicity and 18 with 99% or more probability of pathogenicity. Thus, in the absence of genetic evidence, a cell-based HDR assay can provide a probability of pathogenicity for all VUS in the BRCA2 DBD, suggesting that the assay can be used in combination with other information to determine the cancer relevance of BRCA2 VUS. Cancer Res; 73(1); 265–75. ©2012 AACR.