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Shimelis, Hermela

https://orcid.org/0000-0003-1284-8909

Mayo Clinic

Mayo Clinic

Citations 20

Risk of Different Cancers Among First-degree Relatives of Pancreatic Cancer Patients: Influence of Probands’ Susceptibility Gene Mutation Status
Antwi, Samuel O. , Fagan, Sarah , Chaffee, Kari G. , Hu, Chunling , Lilyquist, Jenna , Oberg, Ann L. , Petersen, Gloria M. , Rabe, Kari G. , Polley, Eric C. , Hart, Steven N. , Shimelis, Hermela , Gnanaolivu, Rohan D., McWilliams, Robert R. , Antwi, Samuel O , Hu, Chunling , Bamlet, William R. , Gnanaolivu, Rohan , Couch, Fergus J.

JNCI: Journal of the National Cancer Institute | November 27, 2017 | Volume: 111 | Issue: 3 | Pages: 264-271

10.1093/jnci/djx272 Get It

Abstract 4286: What have we learned from pancreatic cancer patients undergoing multigene panel testing
LaDuca, Holly , Lilyquist, Jenna , Black, Mary Helen , Davis, Brigette Tippin, Goldgar, David E. , Dolinsky, Jill S. , Hu, Chunling , Shimelis, Hermela , Polley, Eric C. , Couch, Fergus J.

Cancer Research | July 31, 2017 | Volume: 77 | Issue: 13_Supplement | Pages: 4286-4286

10.1158/1538-7445.am2017-4286 Get It

Abstract Purpose: The relevance of inherited pathogenic variants in cancer predisposition genes to pancreatic cancer (PC) is not well understood. Several small studies have identified pathogenic variants in 4% to 14% of unselected PC patients using multigene panels of predisposition genes, but only BRCA2, ATM, and PALB2 have been clearly implicated in this disease. We aimed to assess the clinical and molecular characteristics of PC patients referred for hereditary cancer genetic testing, and to estimate the risk of PC associated with pathogenic variants in panel-based cancer predisposition genes. Methods: PC patients (n=1,819) were ascertained from a large cohort of over 140,000 patients undergoing multigene panel testing (MGPT) of predisposition genes between March 2012 and June 2016 at a single diagnostic laboratory. Clinical histories and molecular results were reviewed and summarized. Gene-level variant frequencies among PC cases were compared to those from the Exome Aggregation Consortium (ExAC) to calculate gene-specific pancreatic cancer risk ratios. Results: PC patients were predominantly Caucasian (76.5%) and female (58.9%), with a median age at diagnosis of 61 years (51.7). Of these, 33.5% reported additional cancer primaries, and 44.8% reported a family history of PC. Overall, 15.4% of PC patients were found to have at least one pathogenic/likely pathogenic variant in panel-based predisposition genes. Genes with the highest frequencies of pathogenic/likely pathogenic variants included BRCA2 (3.9%), ATM (3.6%), CHEK2 (excluding p.Ile157Thr) (2.0%), PALB2 (1.5%), VHL (1.4%), CDKN2A (1.2%), BRCA1 (0.8%), and MSH6 (0.8%). 21.8% of BRCA1 and BRCA2 carriers did not meet BRCA1/2 testing criteria and 61.5% of MSH6 carriers did not meet Lynch syndrome testing criteria. No CDKN2A families met diagnostic criteria for familial atypical multiple mole melanoma syndrome, and 44% did not report any personal or family history of melanoma. To estimate associations between pathogenic variants and pancreatic cancer, Caucasian PC cases were compared to non-Finnish European, non-TCGA ExAC reference controls. Pathogenic variants in ATM, BRCA2, CDKN2A, MSH6, and PALB2 were significantly associated with high PC risks. Pathogenic variants in BRCA1 were associated with a moderate risk of PC (RR=2.7). Conclusions: These findings shed light on the spectrum of mutations that can be expected for PC patients referred for cancer predisposition testing. The results confirm the associations of CDKN2A and BRCA2 variants with PC, and expand on the phenotypic spectrum associated with these variants. Furthermore, these results suggest that ATM, PALB2, and MSH6 may be high-risk PC genes, warranting further investigation in case-control and family-based studies. Citation Format: Holly LaDuca, Chunling Hu, Hermela Shimelis, Eric Polley, Jenna Lilyquist, Mary Helen Black, Brigette Tippin Davis, David E. Goldgar, Jill Dolinsky, Fergus J. Couch. What have we learned from pancreatic cancer patients undergoing multigene panel testing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4286. doi:10.1158/1538-7445.AM2017-4286
Abstract 3406: Hereditary risks of male breast cancer in a multi-gene panel testing cohort
Pritzlaff, Mary , Summerour, Pia, McFarland, Rachel, Li, Shuwei , Dolinsky, Jill S. , Goldgar, David E. , LaDuca, Holly , Chao, Elizabeth , Shimelis, Hermela , Couch, Fergus J.

Cancer Research | July 31, 2017 | Volume: 77 | Issue: 13_Supplement | Pages: 3406-3406

10.1158/1538-7445.am2017-3406 Get It

Abstract While the population-based risk for breast cancer in males remains relatively low (1:1000), inherited predisposition can significantly raise this to as high as 10%, in men who carry a mutation in the BRCA2 gene. Lifetime breast cancer risks of 1-2% have also been reported in men who carry a mutation in BRCA1. These risks, as well as elevated risks of prostate, pancreatic, and melanoma cancers, are important to discuss in families diagnosed with Hereditary Breast and Ovarian Cancer Syndrome, which is often viewed as being clinically relevant only to the women in an affected family. However, beyond the BRCA1/2 genes, limited data is available on hereditary predisposition to male breast cancer. We analyzed clinical histories and molecular results from multi-gene panel testing for hereditary cancer predisposition in a cohort of 715 men affected by breast cancer. A total of 708 male breast cancer patients were eligible for inclusion in the final analysis. Molecular testing included analysis of 5 to 59 genes for DNA coding sequence and copy number variants by next-generation sequencing and microarray. Genetic variants identified were classified according to a 5-tier system using previously validated algorithms1,2. Only those variants classified as pathogenic or likely pathogenic were included in the analyses as positive for a mutation. Overall, a mutation was detected in 18% of these men. Four subjects carried a mutation in two different breast cancer predisposition genes. BRCA2 and CHEK2 were the most frequently mutated genes. The risk of breast cancer was significantly elevated compared to public controls in individuals with a mutation in BRCA2 (odds ratio (OR)=13.9; p=1.92x10-16), CHEK2 (OR=3.8; p=6.24x10-24) and PALB2 (OR=6.6, p=0.01). Average age was similar amongst men with (63.5±2.7 years) and without (62.3±1.2 years) mutations, as were clinical and family histories of additional cancers. The high overall diagnostic yield suggests the utility of testing all male breast cancer patient regardless of age or family history by multigene panel testing, and provides data to support risk-based counseling and medical recommendations for screening and/or prevention in male mutation carriers. 1. 1. LaDuca et al. Genet Med. 2014 Nov;16(11):830-7 2. 2. Richards et al. Genet Med. 2015 May;17(5):405-24 Citation Format: Elizabeth C. Chao, Mary Pritzlaff, Summerour Pia, Rachel McFarland, Shuwei Li, Jill Dolinsky, David Goldgar, Hermela Shimelis, Fergus Couch, LaDuca Holly. Hereditary risks of male breast cancer in a multi-gene panel testing cohort [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3406. doi:10.1158/1538-7445.AM2017-3406
Abstract 1287: Multigene panel testing and risk estimates in 10,233 ovarian cancer cases
Lilyquist, Jenna , LaDuca, Holly , Moore, Raymond M. , Dolinsky, Jill S. , Goldgar, David E. , Polley, Eric C. , Shimelis, Hermela , Hu, Chunling , Hart, Steven N. , Couch, Fergus J.

Cancer Research | July 31, 2017 | Volume: 77 | Issue: 13_Supplement | Pages: 1287-1287

10.1158/1538-7445.am2017-1287 Get It

Abstract Germline pathogenic variants in BRCA1 and BRCA2 account for 10% of ovarian cancer (OC), including ovarian, fallopian tube, and primary peritoneal carcinomas. Pathogenic variants in BRIP1, RAD51C, RAD51D, and other cancer predisposition genes have been observed in another 2% to 5% of OCs. However, the specific genes associated with OC and estimates of risk associated with pathogenic variants in the individual genes are not well defined. We sought to determine the relevance of multigene panel testing results for OC cases. The study was focused on 140,449 individuals, including 10,233 OC cases, receiving clinical panel testing of cancer predisposition genes. Standardized relative risks (SRR) for pathogenic variants in 18 cancer predisposition genes were estimated using reference controls from the Exome Aggregation Consortium (ExAC). The median (range) age at diagnosis of OC was 57 (21-90) years. OC cases were 76.2% Caucasian, 3.6% African American, 4.6% Asian, 4.7% Hispanic, and 10.9% unknown/other. Among the 10,233 OC cases, 1391 (13.6%) had pathogenic mutations, including 1032 pathogenic mutations among the 7793 Caucasian OC cases (13.2%). Using the non-Finnish European ExAC (excluding TCGA samples) reference controls, the allele frequency for all pathogenic variants in each gene was summed and compared to the frequency of mutations in the Caucasian OC cases. Pathogenic variants in the known OC predisposition genes: BRCA1, BRCA2, BRIP1, MSH2, MSH6, RAD51C, and RAD51D were associated with a high risk of OC (SRR>4.0). Additionally, significant associations were observed for pathogenic variants in suspected OC risk genes ATM and PALB2 (SRR=2.06 and 2.78, respectively). This study identified several genes routinely screened on multigene panel testing that confer high or moderate risks of OC. Associations with known OC predisposition genes were confirmed. In addition, this study provides evidence that PALB2 is a moderate risk OC gene, and that ATM may confer lower to moderate risks of OC. If confirmed in future studies, these risks should be carefully considered in future screening and management of OC patients. In contrast, BARD1 and genes in the MRN complex were not associated with clinically relevant risks of OC. Citation Format: Jenna Lilyquist, Holly LaDuca, Eric Polley, Hermela Shimelis, Chunling Hu, Raymond Moore, Steven N. Hart, Fergus J. Couch, Jill Dolinsky, David E. Goldgar. Multigene panel testing and risk estimates in 10,233 ovarian cancer cases [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1287. doi:10.1158/1538-7445.AM2017-1287
BRCA2 Hypomorphic Missense Variants Confer Moderate Risks of Breast Cancer
Mesman, Romy L.S. , Nicolai, Catharina Von , Ehlén, Åsa , Guidugli, Lucia, Martin, Charlotte , Calléja, Fabienne M.G.R., Hallberg, Emily, Hinton, Jamie, Lilyquist, Jenna , Hu, Chunling , Aalfs, Cora M. , Aittomäki, Kristiina, Andrulis, Irene L. , Beckmann, Matthias W. , Benı́tez, Javier , Bogdanova, Natalia , Bojesen, Stig E. , Bolla, Manjeet K. , Børresen‐Dale, Anne‐Lise , Brauch, Hiltrud , Brennan, Paul , Brenner, Hermann , Brouwers, Barbara , Brüning, Thomas , Burwinkel, Barbara , Chang‐Claude, Jenny , Chenevix‐Trench, Georgia , Cheng, Ching‐Yu , Choi, Ji‐Yeob , Collée, J. Margriet, Darabi, Hatef, Dörk, Thilo , Fasching, Peter A. , Figueroa, Jonine D. , Flyger, Henrik, García‐Closas, Montserrat , Glendon, Gord, Guénel, Pascal , Haiman, Christopher A., Hamann, Ute, Hartman, Mikael , Hogervorst, Frans B.L., Hopper, John L. , Jakubowska, Anna , Kang, Daehee , Kosma, Veli‐Matti , Kristensen, Vessela N. , Lai, Kah-Nyin, Lambrechts, Diether , Li, Jingmei , Lindblom, Annika , Lubiński, Jan , Macháčková, Eva , Mannermaa, Arto, Margolin, Sara , Matsuo, Keitaro , Miao, Hui , Michailidou, Kyriaki , Muir, Kenneth , Olswold, Curtis, Oosterwijk, Jan J.C., Osório, Ana , Peterlongo, Paolo , Peto, Julian , Pylkäs, Katri , Radice, Paolo , Rashid, Muhammad Usman , Rhenius, Valerie , Sangrajrang, Suleeporn , Sawyer, Elinor J. , Schmidt, Marjanka K. , Schoemaker, Minouk J. , Seynaeve, Caroline, Shah, Mitul , Shrubsole, Martha J. , Slager, Susan, Southey, Melissa C. , Swerdlow, Anthony J. , Teo, Soo‐Hwang , Tomlinson, Ian , Torres, Diana , Truong, Thérèse , Kolk, Lizet E. van der, Wang, Qin, Winqvist, Robert , Wu, Anna H. , Yu, Jyh‐Cherng , Zheng, Wei , Zheng, Ying , Leary, Jennifer, Walker, Logan C. , Foretová, Lenka , Claes, Kathleen , Varesco, Liliana , Moghadasi, Setareh , Easton, Douglas F. , Devilee, Peter , Vrieling, Harry , Monteiro, Álvaro N.A. , Goldgar, David E., Carreira, Aura , Vreeswijk, Maaike P.G. , Bowtell, David D.L. , Lambrechts, Diether , Shimelis, Hermela , Meeks, Huong , Anton‐Culver, Hoda , Arndt, Volker , Broeks, Annegien , Cox, Angela , Cross, Simon S. , Czene, Kamila , Dennis, Joe , dos‐Santos‐Silva, Isabel , Dunning, Alison M. , Giles, Graham G. , Hall, Per N , Hollestelle, Antoinette , Ito, Hidemi , Marchand, Loı̈c Le , Lophatananon, Artitaya , Mannermaa, Arto, Marmé, Frederik , Milne, Roger L. , Neuhausen, Susan L. , Nevanlinna, Heli , Olson, Janet E. , Pharoah, Paul D.P. , Rudolph, Anja , Shen, Chen‐Yang , Shu, Xiao‐Ou , Stram, Daniel O. , Asperen, Christi J. van , Wang, Qin, Fostira, Florentia , Spurdle, Amanda B. , Goldgar, David E., Couch, Fergus J. , Dörk, Thilo , Lambrechts, Diether , Peterlongo, Paolo , Teo, Soo H , Shrubsole, Martha J , Monteiro, Alvaro N , Swerdlow, Anthony J , Vreeswijk, Maaike P G , Radice, Paolo , Claes, Kathleen B M , Southey, Melissa C , Muir, Kenneth , Matsuo, Keitaro , Jakubowska, Anna , Lambrechts, Diether , Brenner, Hermann , Guénel, Pascal , Hartman, Mikael , Li, Jingmei , Torres, Diana , García-Closas, Montserrat , Schmidt, Marjanka K , Hu, Chunling , Michailidou, Kyriaki , Bogdanova, Natalia V , Benitez, Javier , Chenevix-Trench, Georgia , Zheng, Wei , Figueroa, Jonine D , Bowtell, David D , Pylkäs, Katri , Rashid, Muhammad U , Devilee, Peter , Lubinski, Jan , Bojesen, Stig E , Schoemaker, Minouk J , Truong, Therese , Brauch, Hiltrud , Lindblom, Annika , Sawyer, Elinor J , Kang, Daehee

Cancer Research | March 10, 2017 | Volume: 77 | Issue: 11 | Pages: 2789-2799

10.1158/0008-5472.can-16-2568 Get It

Abstract Breast cancer risks conferred by many germline missense variants in the BRCA1 and BRCA2 genes, often referred to as variants of uncertain significance (VUS), have not been established. In this study, associations between 19 BRCA1 and 33 BRCA2 missense substitution variants and breast cancer risk were investigated through a breast cancer case–control study using genotyping data from 38 studies of predominantly European ancestry (41,890 cases and 41,607 controls) and nine studies of Asian ancestry (6,269 cases and 6,624 controls). The BRCA2 c.9104A>C, p.Tyr3035Ser (OR = 2.52; P = 0.04), and BRCA1 c.5096G>A, p.Arg1699Gln (OR = 4.29; P = 0.009) variant were associated with moderately increased risks of breast cancer among Europeans, whereas BRCA2 c.7522G>A, p.Gly2508Ser (OR = 2.68; P = 0.004), and c.8187G>T, p.Lys2729Asn (OR = 1.4; P = 0.004) were associated with moderate and low risks of breast cancer among Asians. Functional characterization of the BRCA2 variants using four quantitative assays showed reduced BRCA2 activity for p.Tyr3035Ser compared with wild-type. Overall, our results show how BRCA2 missense variants that influence protein function can confer clinically relevant, moderately increased risks of breast cancer, with potential implications for risk management guidelines in women with these specific variants. Cancer Res; 77(11); 2789–99. ©2017 AACR.
Abstract P2-02-03: Optimized prediction of deleterious missense mutations in BRCA1 and BRCA2 genes
Hart, SN, Lindor, NM, Monteiro, Augusta , Iversen, Edwin S. , Goldgar, DE, Couch, FJ, Hoskin, Tanya L. , Shimelis, Hermela , Feng, Bing , Suman, Vera J.

Cancer Research | March 1, 2017 | Volume: 77 | Issue: 4_Supplement | Pages: P2-02-03-P2-02-03

10.1158/1538-7445.sabcs16-p2-02-03 Get It

Abstract Approximately 15% of genetic screens for mutations in BRCA1 and BRCA2 identify Variants of Uncertain Significance (VUS). Primarily missense mutations, VUS are often difficult to interpret, leading to either uncertainty in how to properly counsel a patient or an unnecessary prophylactic surgery. Given the paucity of data for which missenses are classified as truly pathogenic, computational deleterious missense prediction (DMP) algorithms are used to predict whether a mutation is likely deleterious or neutral. Accuracy of DMPs can vary considerably and have only been calibrated on a relatively small number of missense mutations of demonstrable effect on protein function. In this study, the performance of 41 different DMPs was compared to functional data from 455 functionally characterized missense variants in BRCA1 and BRCA2. New optimized thresholds for classifying missense mutations as deleterious are presented for several existing models as well as a newly derived naïve voting method (NVM). The areas under the curve estimates for the NVM approach are between 0.889-0.922, much higher than previous methods. We estimate that the overall pathogenic potential of missense variants to be 6.8% for BRCA1 and 3.2% of BRCA2, but can be as high as 50% depending on protein location. Overall these results provide key insights into how to predict deleterious missense mutations in BRCA1 and BRCA2. Citation Format: Hart SN, Hoskin T, Shimelis H, Feng B, Lindor NM, Monteiro A, Iversen E, Goldgar DE, Suman V, Couch FJ. Optimized prediction of deleterious missense mutations in BRCA1 and BRCA2 genes [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P2-02-03.
Abstract 4685: Characterization of variants of uncertain significance (VUS) in breast and ovarian cancer predisposition genes
Schröeder, Andreas , Hallberg, Emily, Lipton, Gary, Iversen, Edwin S. , Lindor, Noralane M. , Couch, Fergus J. , Shimelis, Hermela , Hu, Chunling

Cancer Research | August 5, 2015 | Volume: 75 | Issue: 15_Supplement | Pages: 4685-4685

10.1158/1538-7445.am2015-4685 Get It

Abstract Panel-based germline genetic testing of established breast and ovarian cancer predisposition genes is widely used in high-risk clinics to inform on risks of breast and ovarian cancer. While most protein truncating mutations identified in predisposition genes are associated with moderate to high risks of these cancers, variants of uncertain significance (VUS), in the form of missense and intronic variants, have an undefined relevance to cancer. Many hundreds of VUS in BRCA1 and BRCA2 identified by clinical genetic testing over the last 20 years still have uncertain clinical relevance. In addition, VUS in other known predisposition genes are being identified by current panel-testing in up to 10% of individuals without BRCA1 or BRCA2 mutations. These VUS cause problems in cancer risk estimation and clinical management of patients undergoing clinical genetic testing. In an effort to evaluate the clinical significance of VUS in cancer predisposition genes we have developed functional assays that characterize the impact of the variants on the functions of the proteins encoded by the predisposition genes. In particular, a homology directed repair reporter assay providing a quantitative measure of homologous recombination repair of DNA double strand breaks has been developed for characterization of VUS in homologous recombination associated genes. When applied to 13 known pathogenic and 30 known neutral variants from the DNA binding domain of BRCA2, this assay exhibits 100% specificity and 100% sensitivity. Based on these results a model estimating the probability of pathogenicity of each BRCA2 VUS was developed. The HDR assay and probability model has now been applied to 230 BRCA2 VUS identified through genetic testing. Here we identify 80 BRCA2 variants that are deficient in HDR activity. We further combined these results with prior probabilities of pathogenicity derived from the sequence based Align GVGD in silico prediction model to estimate the posterior probability of pathogenicity for each VUS. Our results suggest that in the absence of family based segregation information, results from the HDR functional assay and in silico prediction models can be used to predict the pathogenicity of BRCA2 VUS. The assay has also been used to characterize VUS in the PALB2 and RAD51C predisposition genes, leading to identification of a subset of missense variants that are deficient in HDR repair activity and may be associated with increased risk of breast and ovarian cancer. These results will prove useful for improved risk assessment of carriers of these BRCA2, PALB2 and RAD51C variants and their family members and for validation of other approaches to mutation classification. Citation Format: Fergus J. Couch, Hermela Shimelis, Andreas Schroeder, Chunling Hu, Emily Hallberg, Gary Lipton, Edwin Iversen, Noralane M. Lindor. Characterization of variants of uncertain significance (VUS) in breast and ovarian cancer predisposition genes. [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 4685. doi:10.1158/1538-7445.AM2015-4685
Exome sequencing identifies FANCM as a susceptibility gene for triple-negative breast cancer
Kiiski, Johanna I. , Pelttari, Liisa M. , Khan, Sofia , Freysteinsdóttir, Edda Sigríður, Reynisdóttir, Inga , Hart, Steven N. , Shimelis, Hermela , Vilske, Sara, Kallioniemi, Anne , Schleutker, Johanna , Leminen, Arto , Blomqvist, Carl , Barkardóttir, Rósa B. , Aittomäki, Kristiina , Nevanlinna, Heli , Bützow, Ralf C. , Couch, Fergus J. , Pelttari, L M , Nevanlinna, H , Schleutker, Johanna , Hart, Steven N , Shimelis, Hermela

Proceedings of the National Academy of Sciences | October 6, 2014 | Volume: 111 | Issue: 42 | Pages: 15172-15177

10.1073/pnas.1407909111 Get It

Significance The major portion of hereditary breast cancer still remains unexplained, and many susceptibility loci are yet to be found. Exome sequencing of 24 high-risk familial BRCA1/2 -negative breast cancer patients and further genotyping of a large sample set of breast/ovarian cancer cases and controls was used to discover previously unidentified susceptibility alleles and genes. A significant association of a FANCM nonsense mutation with breast cancer, especially triple-negative breast cancer, identifies FANCM as a breast cancer susceptibility gene. Identification of such risk alleles is expected to improve cancer risk assessment for breast cancer patients and families, and may lead to improvements in the prevention, early diagnosis, and treatment of cancer.