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2. Height and Body Mass Index as Modifiers of Breast Cancer Risk in BRCA1/2 Mutation Carriers: A Mendelian Randomization Study

Author

Qian, F., Wang, S.F., Mitchell, J., McGuffog, L., Barrowdale, D., Leslie, G., Oosterwijk, J.C., Chung, W.K., Evans, D.G., Engel, C., Kast, K., Aalfs, C.M., Adank, M.A., Adlard, J., Agnarsson, B.A., Aittomaki, K., Alducci, E., Andrulis, I.L., Arun, B.K., Ausems, M.G.E.M., Azzollini, J., Barouk-Simonet, E., Barwell, J., Belotti, M., Benitez, J., Berger, A., Borg, A., Bradbury, A.R., Brunet, J., Buys, S.S., Caldes, T., Caligo, M.A., Campbell, I., Caputo, S.M., Chiquette, J., Claes, K.B.M., Collee, J.M., Couch, F.J., Coupier, I., Daly, M.B., Davidson, R., Diez, O., Domchek, S.M., Donaldson, A., Dorfling, C.M., Eeles, R., Feliubadalo, L., Foretova, L., Fowler, J., Friedman, E., Frost, D., Ganz, P.A., Garber, J., Garcia-Barberan, V., Glendon, G., Godwin, A.K., Garcia, E.B.G., Gronwald, J., Hahnen, E., Hamann, U., Henderson, A., Hendricks, C.B., Hopper, J.L., Hulick, P.J., Imyanitov, E.N., Isaacs, C., Izatt, L., Izquierdo, A., Jakubowska, A., Kaczmarek, K., Kang, E., Karlan, B.Y., Kets, C.M., Kim, S.W., Kim, Z., Kwong, A., Laitman, Y., Lasset, C., Lee, M.H., Lee, J.W., Lee, J., Lester, J., Lesueur, F., Loud, J.T., Lubinski, J., Mebirouk, N., Meijers-Heijboer, H.E.J., Meindl, A., Miller, A., Montagna, M., Mooij, T.M., Morrison, P.J., Mouret-Fourme, E., Nathanson, K.L., Neuhausen, S.L., Nevanlinna, H., Niederacher, D., Nielsen, F.C., Nussbaum, R.L., Offit, K., Olah, E., Ong, K.R., Ottini, L., Park, S.K., Peterlongo, P., Pfeiler, G., Phelan, C.M., Poppe, B., Pradhan, N., Radice, P., Ramus, S.J., Rantala, J., Robson, M., Rodriguez, G.C., Schmutzler, R.K., Selkirk, C.G.H., Shah, P.D., Simard, J., Singer, C.F., Sokolowska, J., Stoppa-Lyonnet, D., Sutter, C., Tan, Y.Y., Teixeira, M.R., Teo, S.H., Terry, M.B., Thomassen, M., Tischkowitz, M., Toland, A.E., Tucker, K.M., Tung, N., Asperen, C.J. van, Engelen, K. van, Rensburg, E.J. van, Wang-Gohrke, S., Wappenschmidt, B., Weitzel, J.N., Yannoukakos, D., Greene, M.H., Rookus, M.A., Easton, D.F., Chenevix-Trench, G., Antoniou, A.C., Goldgar, D.E., Olopade, O.I., Rebbeck, T.R., Huo, D.Z., GEMO Study Collaborators, HEBON, EMBRACE, Clinical Genetics, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Targeted Gynaecologic Oncology (TARGON), Leslie, Goska [0000-0001-5756-6222], Tischkowitz, Marc [0000-0002-7880-0628], Easton, Douglas [0000-0003-2444-3247], Antoniou, Antonis [0000-0001-9223-3116], Apollo - University of Cambridge Repository, Klinische Genetica, MUMC+: DA KG Polikliniek (9), RS: GROW - R4 - Reproductive and Perinatal Medicine, Human Genetics, ARD - Amsterdam Reproduction and Development, Epidemiology and Data Science, Human genetics, CCA - Cancer biology and immunology, Amsterdam Neuroscience - Complex Trait Genetics, and Amsterdam Reproduction & Development (AR&D)

Subjects
Oncology, Cancer Research, LOCI, Disease, DISEASE, Body Mass Index, breast cancer risk, 0302 clinical medicine, Risk Factors, GENETIC-VARIANTS, EPIDEMIOLOGY, skin and connective tissue diseases, 2. Zero hunger, BRCA1 Protein, Articles, Prognosis, INSULIN, 3. Good health, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], FAMILY, 030220 oncology & carcinogenesis, OBESITY, BIOLOGICAL PATHWAYS, Female, Risk assessment, Adult, medicine.medical_specialty, Breast Neoplasms, Polymorphism, Single Nucleotide, EMBRACE, GEMO Study Collaborators, BMI, 03 medical and health sciences, Breast cancer, SDG 3 - Good Health and Well-being, BRCA1/2, Internal medicine, Mendelian randomization, medicine, Journal Article, Humans, Genetic Predisposition to Disease, HEBON, BRCA2 Protein, IDENTIFICATION, Proportional hazards model, business.industry, Mendelian Randomization Analysis, medicine.disease, Obesity, Confidence interval, Body Height, Mutation, WEIGHT, business, Body mass index
Abstract

Contains fulltext : 206539.pdf (Publisher’s version ) (Closed access) BACKGROUND: BRCA1/2 mutations confer high lifetime risk of breast cancer, although other factors may modify this risk. Whether height or body mass index (BMI) modifies breast cancer risk in BRCA1/2 mutation carriers remains unclear. METHODS: We used Mendelian randomization approaches to evaluate the association of height and BMI on breast cancer risk, using data from the Consortium of Investigators of Modifiers of BRCA1/2 with 14 676 BRCA1 and 7912 BRCA2 mutation carriers, including 11 451 cases of breast cancer. We created a height genetic score using 586 height-associated variants and a BMI genetic score using 93 BMI-associated variants. We examined both observed and genetically determined height and BMI with breast cancer risk using weighted Cox models. All statistical tests were two-sided. RESULTS: Observed height was positively associated with breast cancer risk (HR = 1.09 per 10 cm increase, 95% confidence interval [CI] = 1.0 to 1.17; P = 1.17). Height genetic score was positively associated with breast cancer, although this was not statistically significant (per 10 cm increase in genetically predicted height, HR = 1.04, 95% CI = 0.93 to 1.17; P = .47). Observed BMI was inversely associated with breast cancer risk (per 5 kg/m2 increase, HR = 0.94, 95% CI = 0.90 to 0.98; P = .007). BMI genetic score was also inversely associated with breast cancer risk (per 5 kg/m2 increase in genetically predicted BMI, HR = 0.87, 95% CI = 0.76 to 0.98; P = .02). BMI was primarily associated with premenopausal breast cancer. CONCLUSION: Height is associated with overall breast cancer and BMI is associated with premenopausal breast cancer in BRCA1/2 mutation carriers. Incorporating height and BMI, particularly genetic score, into risk assessment may improve cancer management.

Published
2019

4. Prediction of Breast and Prostate Cancer Risks in Male BRCA1 and BRCA2 Mutation Carriers Using Polygenic Risk Scores

Author

Lecarpentier, J., Silvestri, V., Kuchenbaecker, K.B., Barrowdale, D., Dennis, J., McGuffog, L., Soucy, P., Leslie, G., Rizzolo, P., Navazio, A.S., Valentini, V., Zelli, V., Lee, A., Olama, A.A. al, Tyrer, J.P., Southey, M., John, E.M., Conner, T.A., Goldgar, D.E., Buys, S.S., Janavicius, R., Steele, L., Ding, Y.C., Neuhausen, S.L., Hansen, T.V.O., Osorio, A., Weitzel, J.N., Toss, A., Medici, V., Cortesi, L., Zanna, I., Palli, D., Radice, P., Manoukian, S., Peissel, B., Azzollini, J., Viel, A., Cini, G., Damante, G., Tommasi, S., Peterlongo, P., Fostira, F., Hamann, U., Evans, D.G., Henderson, A., Brewer, C., Eccles, D., Cook, J., Ong, K.R., Walker, L., Side, L.E., Porteous, M.E., Davidson, R., Hodgson, S., Frost, D., Adlard, J., Izatt, L., Eeles, R., Ellis, S., Tischkowitz, M., Godwin, A.K., Meindl, A., Gehrig, A., Dworniczak, B., Sutter, C., Engel, C., Niederacher, D., Steinemann, D., Hahnen, E., Hauke, J., Rhiem, K., Kast, K., Arnold, N., Ditsch, N., Wang-Gohrke, S., Wappenschmidt, B., Wand, D., Lasset, C., Stoppa-Lyonnet, D., Belotti, M., Damiola, F., Barjhoux, L., Mazoyer, S., Heetvelde, M. van, Poppe, B., Leeneer, K. de, Claes, K.B.M., Hoya, M. de la, Garcia-Barberan, V., Caldes, T., Perez Segura, P., Kiiski, J.I., Aittomaki, K., Khan, S., Nevanlinna, H., Asperen, C.J. van, Vaszko, T., Kasler, M., Olah, E., Balmana, J., Gutierrez-Enriquez, S., Diez, O., Teule, A., Izquierdo, A., Darder, E., Brunet, J., Valle, J. del, Feliubadalo, L., Pujana, M.A., Lazaro, C., Arason, A., Agnarsson, B.A., Johannsson, O.T., Barkardottir, R.B., Alducci, E., Tognazzo, S., Montagna, M., Teixeira, M.R., Pinto, P., Spurdle, A.B., Holland, H., Lee, J.W., Lee, M.H., Lee, J., Kim, S.W., Kang, E., Kim, Z., Sharma, P., Rebbeck, T.R., Vijai, J., Robson, M., Lincoln, A., Musinsky, J., Gaddam, P., Tan, Y.Y., Berger, A., Singer, C.F., Loud, J.T., Greene, M.H., Mulligan, A.M., Glendon, G., Andrulis, I.L., Toland, A.E., Senter, L., Bojesen, A., Nielsen, H.R., Skytte, A.B., Sunde, L., Jensen, U.B., Pedersen, I.S., Krogh, L., Kruse, T.A., Caligo, M.A., Yoon, S.Y., Teo, S.H., Wachenfeldt, A. von, Huo, D., Nielsen, S.M., Olopade, O.I., Nathanson, K.L., Domchek, S.M., Lorenchick, C., Jankowitz, R.C., Campbell, I., James, P., Mitchell, G., Orr, N., Park, S.K., Thomassen, M., Offit, K., Couch, F.J., Simard, J., Easton, D.F., Chenevix-Trench, G., Schmutzler, R.K., Antoniou, A.C., Ottini, L., EMBRACE, GEMO Study Collaborators, HEBON, KConFab Investigators, Dennis, Joe [0000-0003-4591-1214], Leslie, Goska [0000-0001-5756-6222], Lee, Andrew [0000-0003-0677-0252], Amin Al Olama, Ali [0000-0002-7178-3431], Tyrer, Jonathan [0000-0003-3724-4757], Tischkowitz, Marc [0000-0002-7880-0628], Easton, Douglas [0000-0003-2444-3247], Antoniou, Antonis [0000-0001-9223-3116], and Apollo - University of Cambridge Repository

Subjects
Adult, Aged, 80 and over, Male, Heterozygote, Multifactorial Inheritance, Genes, BRCA2, Age Factors, Genes, BRCA1, Prostatic Neoplasms, Middle Aged, Polymorphism, Single Nucleotide, Risk Assessment, Breast Neoplasms, Male, Case-Control Studies, Mutation, Humans, Genetic Predisposition to Disease, Genetic Testing, skin and connective tissue diseases, Aged, Genome-Wide Association Study
Abstract

$\textbf{Purpose}$ $\textit{BRCA1/2}$ mutations increase the risk of breast and prostate cancer in men. Common genetic variants modify cancer risks for female carriers of $\textit{BRCA1/2}$ mutations. We investigated-for the first time to our knowledge-associations of common genetic variants with breast and prostate cancer risks for male carriers of $\textit{BRCA1/2}$ mutations and implications for cancer risk prediction. $\textbf{Materials and Methods}$ We genotyped 1,802 male carriers of $\textit{BRCA1/2}$ mutations from the Consortium of Investigators of Modifiers of $\textit{BRCA1/2}$ by using the custom Illumina OncoArray. We investigated the combined effects of established breast and prostate cancer susceptibility variants on cancer risks for male carriers of $\textit{BRCA1/2}$ mutations by constructing weighted polygenic risk scores (PRSs) using published effect estimates as weights. $\textbf{Results}$ In male carriers of $\textit{BRCA1/2}$ mutations, PRS that was based on 88 female breast cancer susceptibility variants was associated with breast cancer risk (odds ratio per standard deviation of PRS, 1.36; 95% CI, 1.19 to 1.56; $P$ = 8.6 × 10$^{-6}$)). Similarly, PRS that was based on 103 prostate cancer susceptibility variants was associated with prostate cancer risk (odds ratio per SD of PRS, 1.56; 95% CI, 1.35 to 1.81; $P$ = 3.2 × 10$^{-9}$)). Large differences in absolute cancer risks were observed at the extremes of the PRS distribution. For example, prostate cancer risk by age 80 years at the 5th and 95th percentiles of the PRS varies from 7% to 26% for carriers of $\textit{BRCA1}$ mutations and from 19% to 61% for carriers of $\textit{BRCA2}$ mutations, respectively. $\textbf{Conclusion}$ PRSs may provide informative cancer risk stratification for male carriers of $\textit{BRCA1/2}$ mutations that might enable these men and their physicians to make informed decisions on the type and timing of breast and prostate cancer risk management.

Published
2017

5. Evaluation of Polygenic Risk Scores for Breast and Ovarian Cancer Risk Prediction in BRCA1 and BRCA2 Mutation Carriers

Author

de Lange, JL, Goldgar, DE, Dorfling, CM, van Rensburg, EJ, Chun Ding, Y, Ejlertsen, B, Antoniou, AC, Easton, DF, Chenevix-Trench, G, Couch, FJ, Offit, K, Pharoah, PDP, Simard, J, Lester, J, Karlan, BY, James, P, Arun, BK, Nathanson, KL, Domchek, SM, Bradbury, AR, Nussbaum, RL, Ganz, PA, Olopade, OI, Rantala, J, Ehrancrona, H, Borg, A, Arver, B, Laitman, Y, Friedman, E, Berger, R, Teo, SH, Caligo, MA, Thomassen, M, Sokilde Pedersen, I, Kruse, TA, Jenson, UB, Andrulis, AE, Andrulis, IL, Mulligan, AM, Glendon, G, Martyn, J, Rodriguez, GC, Piedmonte, M, Hays, JL, Hulick, PJ, Imyanitov, EN, Rennert, G, Loud, JT, Greene, MX, Tea, MKM, Singer, CF, Rappaport-Fuerhauser, C, Pfeiler, G, Vijai, J, Gaddam, P, Foretova, L, Tischkowitz, M, Olswold, C, KConFab Investigators, K, Kyung Park, S, Teixeira, MR, Montagna, M, Agata, S, Chiquette, J, Barkardottir, RB, Sukiennicki, G, Lubinski, J, Kaczmarek, K, Jakubowska, A, Gronwald, J, Teule, A, Lazaro, C, Brunet, J, Diez, O, Olah, E, Kwong, A, van Os, TAM, van Doorn, HC, van den Ouweland, AMW, van Asperen, CJ, Rookus, MA, Oosterwijk, JC, Meijers-Heijboer, HE, Kets, CM, HEBO, N, Hogervorst, FB, Gomez Garcia, EB, Ausems, MGEM, Nevanlinna, H, Aittomaki, K, Garcia-Barberan, V, de la Hoya, M, Poppe, B, Gerdes, AM, Hansen, TV, Claes, KBM, Isaacs, C, Stoppa-Lyonnet, D, Sokolowska, J, Mazoyer, S, Lesueur, F, Barouk-Simonet, E, EMBRAC, E, GEMO, SC, Golmard, L, Elan, C, Slager, S, Hallberg, E, Benitez, J, Collonge-Rame, MA, Barjhoux, L, Wappenschmidt, B, Wang-Gohrke, S, Varon-Mateeva, R, Osorio, A, Cohen, N, Lawler, W, Weitzel, JN, Peterlongo, P, Pensotti, V, Dolcetti, R, Schmutzler, RK, Barile, M, Bonanni, B, Azzollini, J, Manoukian, S, Peissel, B, Radice, P, Savarese, A, Papi, L, Giannini, G, Niederacher, D, Meindl, A, Fostira, F, Konstantopoulou, I, Adlard, J, Brewer, C, Cook, J, Davidson, R, Eccles, D, Eeles, R, Ellis, S, Kast, K, Hauke, J, Hahnen, E, Gehrig, A, Engel, C, Dworniczak, B, Frost, D, Hodgson, S, Izatt, L, Lalloo, F, Ong, KR, Godwin, AK, Arnold, N, Kuchenbaecker, KB, McGuffog, L, Barrowdale, D, Lee, A, Soucy, P, Dennis, J, Robson, M, Spurdle, AB, Ramus, SJ, Mavaddat, N, Terry, MB, Neuhausen, SL, Couch, F, Lush, M, Hamann, U, Southey, M, John, EM, Chung, WK, Daly, MB, and Buys, SS

Subjects
endocrine system diseases, skin and connective tissue diseases
Abstract

Background: Genome-wide association studies (GWAS) have identified 94 common single-nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk and 18 associated with ovarian cancer (OC) risk. Several of these are also associated with risk of BC or OC for women who carry a pathogenic mutation in the high-risk BC and OC genes BRCA1 or BRCA2. The combined effects of these variants on BC or OC risk for BRCA1 and BRCA2 mutation carriers have not yet been assessed while their clinical management could benefit from improved personalized risk estimates. Methods: We constructed polygenic risk scores (PRS) using BC and OC susceptibility SNPs identified through population-based GWAS: for BC (overall, estrogen receptor [ER]–positive, and ER-negative) and for OC. Using data from 15 252 female BRCA1 and 8211 BRCA2 carriers, the association of each PRS with BC or OC risk was evaluated using a weighted cohort approach, with time to diagnosis as the outcome and estimation of the hazard ratios (HRs) per standard deviation increase in the PRS. Results: The PRS for ER-negative BC displayed the strongest association with BC risk in BRCA1 carriers (HR = 1.27, 95% confidence interval [CI] = 1.23 to 1.31, P = 8.2×10−53). In BRCA2 carriers, the strongest association with BC risk was seen for the overall BC PRS (HR = 1.22, 95% CI = 1.17 to 1.28, P = 7.2×10−20). The OC PRS was strongly associated with OC risk for both BRCA1 and BRCA2 carriers. These translate to differences in absolute risks (more than 10% in each case) between the top and bottom deciles of the PRS distribution; for example, the OC risk was 6% by age 80 years for BRCA2 carriers at the 10th percentile of the OC PRS compared with 19% risk for those at the 90th percentile of PRS. Conclusions: BC and OC PRS are predictive of cancer risk in BRCA1 and BRCA2 carriers. Incorporation of the PRS into risk prediction models has promise to better inform decisions on cancer risk management.

Published
2017

7. Fine-Scale Mapping at 9p22.2 Identifies Candidate Causal Variants That Modify Ovarian Cancer Risk in BRCA1 and BRCA2 Mutation Carriers

Author

Pfeiler, G, Vigorito, E, Kuchenbaecker, KB, Beesley, J, Adlard, J, Agnarsson, BA, Andrulis, IL, Arun, BK, Barjhoux, L, Belotti, M, Benitez, J, Berger, A, Phelan, CM, Piedmonte, M, Poppe, B, Pujana, MA, Radice, P, Rennert, G, Rodriguez, GC, Rookus, MA, Ross, EA, Bojesen, A, Schmutzler, RK, Simard, J, Singer, CF, Slavin, TP, Soucy, P, Southey, M, Steinemann, D, Stoppa-Lyonnet, D, Sukiennicki, G, Sutter, C, Bonanni, B, Szabo, CI, Tea, MK, Teixeira, MR, Teo, SH, Terry, MB, Thomassen, M, Tibiletti, MG, Tihomirova, L, Tognazzo, S, van Rensburg, EJ, Brewer, C, Varesco, L, Varon-Mateeva, R, Vratimos, A, Weitzel, JN, McGuffog, L, Kirk, J, Toland, AE, Hamann, U, Lindor, N, Ramus, SJ, Caldes, T, Greene, MH, Couch, FJ, Offit, K, Pharoah, PDP, Chenevix-Trench, G, Antoniou, AC, Prokunina-Olsson, L, Caligo, MA, Campbell, I, Chan, SB, Claes, KBM, Cohn, DE, Cook, J, Daly, MB, Damiola, F, Davidson, R, Pauw, AD, Delnatte, C, Diez, O, Domchek, SM, Dumont, M, Durda, K, Dworniczak, B, Easton, DF, Eccles, D, Edwinsdotter Ardnor, C, Eeles, R, Ejlertsen, B, Ellis, S, Evans, G, Feliubadalo, L, Fostira, F, Foulkes, WD, Friedman, E, Frost, D, Gaddam, P, Ganz, PA, Garber, J, Garcia-Barberan, V, Gauthier-Villars, M, Gehrig, A, Gerdes, AM, Giraud, S, Godwin, AK, Goldgar, DE, Hake, CR, Hansen, TVO, Healey, S, Hodgson, S, Hogervorst, FBL, Houdayer, C, Hulick, PJ, Imyanitov, EN, Isaacs, C, Izatt, L, Izquierdo, A, Jacobs, L, Jakubowska, A, Janavicius, R, Jaworska-Bieniek, K, Jensen, UB, John, EM, Vijai, J, Karlan, BY, Kast, K, Investigators, K, Khan, S, Kwong, A, Laitman, Y, Lester, J, Lesueur, F, Liljegren, A, Lubinski, J, Mai, PL, Manoukian, S, Mazoyer, S, Meindl, A, Mensenkamp, AR, Montagna, M, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Niederacher, D, Olah, E, Olopade, OI, Ong, KR, Osorio, A, Park, SK, Paulsson-Karlsson, Y, Pedersen, IS, Peissel, B, and Peterlongo, P

Subjects
endocrine system diseases, skin and connective tissue diseases
Abstract

Population-based genome wide association studies have identified a locus at 9p22.2 associated with ovarian cancer risk, which also modifies ovarian cancer risk in BRCA1 and BRCA2 mutation carriers. We conducted fine-scale mapping at 9p22.2 to identify potential causal variants in BRCA1 and BRCA2 mutation carriers. Genotype data were available for 15,252 (2,462 ovarian cancer cases) BRCA1 and 8,211 (631 ovarian cancer cases) BRCA2 mutation carriers. Following genotype imputation, ovarian cancer associations were assessed for 4,873 and 5,020 SNPs in BRCA 1 and BRCA 2 mutation carriers respectively, within a retrospective cohort analytical framework. In BRCA1 mutation carriers one set of eight correlated candidate causal variants for ovarian cancer risk modification was identified (top SNP rs10124837, HR: 0.73, 95%CI: 0.68 to 0.79, p-value 2× 10−16). These variants were located up to 20 kb upstream of BNC2. In BRCA2 mutation carriers one region, up to 45 kb upstream of BNC2, and containing 100 correlated SNPs was identified as candidate causal (top SNP rs62543585, HR: 0.69, 95%CI: 0.59 to 0.80, p-value 1.0 × 10−6). The candidate causal in BRCA1 mutation carriers did not include the strongest associated variant at this locus in the general population. In sum, we identified a set of candidate causal variants in a region that encompasses the BNC2 transcription start site. The ovarian cancer association at 9p22.2 may be mediated by different variants in BRCA1 mutation carriers and in the general population. Thus, potentially different mechanisms may underlie ovarian cancer risk for mutation carriers and the general population

Published
2016

13. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

Author

Phelan, CM, Kuchenbaecker, KB, Tyrer, JP, Kar, SP, Lawrenson, K, Winham, SJ, Dennis, J, Pirie, A, Riggan, MJ, Chornokur, G, Earp, MA, Lyra, PC, Lee, JM, Coetzee, S, Beesley, J, McGuffog, L, Soucy, P, Dicks, E, Lee, A, Barrowdale, D, Lecarpentier, J, Leslie, G, Aalfs, CM, Aben, KKH, Adams, M, Adlard, J, Andrulis, IL, Anton-Culver, H, Antonenkova, N, AOCS Study Group, Aravantinos, G, Arnold, N, Arun, BK, Arver, B, Azzollini, J, Balmaña, J, Banerjee, SN, Barjhoux, L, Barkardottir, RB, Bean, Y, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, MQ, Birrer, MJ, Bjorge, L, Black, A, Blankstein, K, Blok, MJ, Bodelon, C, Bogdanova, N, Bojesen, A, Bonanni, B, Borg, Å, Bradbury, AR, Brenton, JD, Brewer, C, Brinton, L, Broberg, P, Brooks-Wilson, A, Bruinsma, F, Brunet, J, Buecher, B, Butzow, R, Buys, SS, Caldes, T, Caligo, MA, Campbell, I, Cannioto, R, Carney, ME, Cescon, T, Chan, SB, Chang-Claude, J, Chanock, S, Chen, XQ, Chiew, Y-E, Chiquette, J, Chung, WK, Claes, KBM, Conner, T, Cook, LS, Cook, J, Cramer, DW, Cunningham, JM, D'Aloisio, AA, Daly, MB, Damiola, F, Damirovna, SD, Dansonka-Mieszkowska, A, Dao, F, Davidson, R, DeFazio, A, Delnatte, C, Doheny, KF, Diez, O, Ding, YC, Doherty, JA, Domchek, SM, Dorfling, CM, Dörk, T, Dossus, L, Duran, M, Dürst, M, Dworniczak, B, Eccles, D, Edwards, T, Eeles, R, Eilber, U, Ejlertsen, B, Ekici, AB, Ellis, S, Elvira, M, EMBRACE Study, Eng, KH, Engel, C, Evans, DG, Fasching, PA, Ferguson, S, Ferrer, SF, Flanagan, JM, Fogarty, ZC, Fortner, RT, Fostira, F, Foulkes, WD, Fountzilas, G, Fridley, BL, Friebel, TM, Friedman, E, Frost, D, Ganz, PA, Garber, J, García, MJ, Garcia-Barberan, V, Gehrig, A, GEMO Study Collaborators, Gentry-Maharaj, A, Gerdes, A-M, Giles, GG, Glasspool, R, Glendon, G, Godwin, AK, Goldgar, DE, Goranova, T, Gore, M, Greene, MH, Gronwald, J, Gruber, S, Hahnen, E, Haiman, CA, Håkansson, N, Hamann, U, Hansen, TVO, Harrington, PA, Harris, HR, Hauke, J, HEBON Study, Hein, A, Henderson, A, Hildebrandt, MAT, Hillemanns, P, Hodgson, S, Høgdall, CK, Høgdall, E, Hogervorst, FBL, Holland, H, Hooning, MJ, Hosking, K, Huang, R-Y, Hulick, PJ, Hung, J, Hunter, DJ, Huntsman, DG, Huzarski, T, Imyanitov, EN, Isaacs, C, Iversen, ES, Izatt, L, Izquierdo, A, Jakubowska, A, James, P, Janavicius, R, Jernetz, M, Jensen, A, Jensen, UB, John, EM, Johnatty, S, Jones, ME, Kannisto, P, Karlan, BY, Karnezis, A, Kast, K, KConFab Investigators, Kennedy, CJ, Khusnutdinova, E, Kiemeney, LA, Kiiski, JI, Kim, S-W, Kjaer, SK, Köbel, M, Kopperud, RK, Kruse, TA, Kupryjanczyk, J, Kwong, A, Laitman, Y, Lambrechts, D, Larrañaga, N, Larson, MC, Lazaro, C, Le, ND, Le Marchand, L, Lee, JW, Lele, SB, Leminen, A, Leroux, D, Lester, J, Lesueur, F, Levine, DA, Liang, D, Liebrich, C, Lilyquist, J, Lipworth, L, Lissowska, J, Lu, KH, Lubinński, J, Luccarini, C, Lundvall, L, Mai, PL, Mendoza-Fandiño, G, Manoukian, S, Massuger, LFAG, May, T, Mazoyer, S, McAlpine, JN, McGuire, V, McLaughlin, McNeish, I, Meijers-Heijboer, H, Meindl, A, Menon, U, Mensenkamp, AR, Merritt, MA, Milne, RL, Mitchell, G, Modugno, F, Moes-Sosnowska, J, Moffitt, M, Montagna, M, Moysich, KB, Mulligan, AM, Musinsky, J, Nathanson, KL, Nedergaard, L, Ness, RB, Neuhausen, SL, Nevanlinna, H, Niederacher, D, Nussbaum, RL, Odunsi, K, Olah, E, Olopade, OI, Olsson, H, Olswold, C, O'Malley, DM, Ong, K-R, Onland-Moret, NC, OPAL Study Group, Orr, N, Orsulic, S, Osorio, A, Palli, D, Papi, L, Park-Simon, T-W, Paul, J, Pearce, CL, Pedersen, IS, Peeters, PHM, Peissel, B, Peixoto, A, Pejovic, T, Pelttari, LM, Permuth, JB, Peterlongo, P, Pezzani, L, Pfeiler, G, Phillips, K-A, Piedmonte, M, Pike, MC, Piskorz, AM, Poblete, Pocza, T, Poole, EM, Poppe, B, Porteous, ME, Prieur, F, Prokofyeva, D, Pugh, E, Pujana, MA, Pujol, P, Radice, P, Rantala, J, Rappaport-Fuerhauser, C, Rennert, G, Rhiem, K, Rice, P, Richardson, A, Robson, M, Rodriguez, GC, Rodríguez-Antona, C, Romm, J, Rookus, MA, Rossing, MA, Rothstein, JH, Rudolph, A, Runnebaum, IB, Salvesen, HB, Sandler, DP, Schoemaker, MJ, Senter, L, Setiawan, VW, Severi, G, Sharma, P, Shelford, T, Siddiqui, N, Side, LE, Sieh, W, Singer, CF, Sobol, H, Song, H, Southey, MC, Spurdle, AB, Stadler, Z, Steinemann, D, Stoppa-Lyonnet, D, Sucheston-Campbell, LE, Sukiennicki, G, Sutphen, R, Sutter, C, Swerdlow, AJ, Szabo, CI, Szafron, L, Tan, YY, Taylor, JA, Tea, M-K, Teixeira, MR, Teo, S-H, Terry, KL, Thompson, PJ, Thomsen, LCV, Thull, DL, Tihomirova, L, Tinker, AV, Tischkowitz, M, Tognazzo, S, Toland, AE, Tone, A, Trabert, B, Travis, RC, Trichopoulou, A, Tung, N, Tworoger, SS, Van Altena, AM, Van Den Berg, D, Van Der Hout, AH, Van Der Luijt, RB, Van Heetvelde, M, Van Nieuwenhuysen, E, Van Rensburg, EJ, Vanderstichele, A, Varon-Mateeva, R, Vega, A, Edwards, DV, Vergote, I, Vierkant, RA, Vijai, J, Vratimos, A, Walker, L, Walsh, C, Wand, D, Wang-Gohrke, S, Wappenschmidt, B, Webb, PM, Weinberg, CR, Weitzel, JN, Wentzensen, N, Whittemore, AS, Wijnen, JT, Wilkens, LR, Wolk, A, Woo, M, Wu, X, Wu, AH, Yang, H, Yannoukakos, D, Ziogas, A, Zorn, KK, Narod, SA, Easton, DF, Amos, CI, Schildkraut, JM, Ramus, SJ, Ottini, L, Goodman, MT, Park, SK, Kelemen, LE, Risch, HA, Thomassen, M, Offit, K, Simard, J, Schmutzler, RK, Hazelett, D, Monteiro, AN, Couch, FJ, Berchuck, A, Chenevix-Trench, G, Goode, EL, Sellers, TA, Gayther, SA, Antoniou, AC, and Pharoah, PDP

Subjects
ovarian cancer, endocrine system diseases, genome-wide association studies, epidemiology, female genital diseases and pregnancy complications, 3. Good health
Abstract

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 $\textit{BRCA1}$ and $\textit{BRCA2}$ mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.

14. Cancer Risks Associated With BRCA1 and BRCA2 Pathogenic Variants.

Author

Li S, Silvestri V, Leslie G, Rebbeck TR, Neuhausen SL, Hopper JL, Nielsen HR, Lee A, Yang X, McGuffog L, Parsons MT, Andrulis IL, Arnold N, Belotti M, Borg Å, Buecher B, Buys SS, Caputo SM, Chung WK, Colas C, Colonna SV, Cook J, Daly MB, de la Hoya M, de Pauw A, Delhomelle H, Eason J, Engel C, Evans DG, Faust U, Fehm TN, Fostira F, Fountzilas G, Frone M, Garcia-Barberan V, Garre P, Gauthier-Villars M, Gehrig A, Glendon G, Goldgar DE, Golmard L, Greene MH, Hahnen E, Hamann U, Hanson H, Hassan T, Hentschel J, Horvath J, Izatt L, Janavicius R, Jiao Y, John EM, Karlan BY, Kim SW, Konstantopoulou I, Kwong A, Laugé A, Lee JW, Lesueur F, Mebirouk N, Meindl A, Mouret-Fourme E, Musgrave H, Ngeow Yuen Yie J, Niederacher D, Park SK, Pedersen IS, Ramser J, Ramus SJ, Rantala J, Rashid MU, Reichl F, Ritter J, Rump A, Santamariña M, Saule C, Schmidt G, Schmutzler RK, Senter L, Shariff S, Singer CF, Southey MC, Stoppa-Lyonnet D, Sutter C, Tan Y, Teo SH, Terry MB, Thomassen M, Tischkowitz M, Toland AE, Torres D, Vega A, Wagner SA, Wang-Gohrke S, Wappenschmidt B, Weber BHF, Yannoukakos D, Spurdle AB, Easton DF, Chenevix-Trench G, Ottini L, and Antoniou AC

Subjects
BRCA1 Protein genetics, BRCA2 Protein genetics, Female, Genetic Predisposition to Disease, Heterozygote, Humans, Infant, Newborn, Male, Mutation, Risk, Breast Neoplasms, Breast Neoplasms, Male, Ovarian Neoplasms epidemiology, Ovarian Neoplasms genetics, Pancreatic Neoplasms epidemiology, Pancreatic Neoplasms genetics
Abstract

Purpose: To provide precise age-specific risk estimates of cancers other than female breast and ovarian cancers associated with pathogenic variants (PVs) in BRCA1 and BRCA2 for effective cancer risk management., Methods: We used data from 3,184 BRCA1 and 2,157 BRCA2 families in the Consortium of Investigators of Modifiers of BRCA1/2 to estimate age-specific relative (RR) and absolute risks for 22 first primary cancer types adjusting for family ascertainment., Results: BRCA1 PVs were associated with risks of male breast (RR = 4.30; 95% CI, 1.09 to 16.96), pancreatic (RR = 2.36; 95% CI, 1.51 to 3.68), and stomach (RR = 2.17; 95% CI, 1.25 to 3.77) cancers. Associations with colorectal and gallbladder cancers were also suggested. BRCA2 PVs were associated with risks of male breast (RR = 44.0; 95% CI, 21.3 to 90.9), stomach (RR = 3.69; 95% CI, 2.40 to 5.67), pancreatic (RR = 3.34; 95% CI, 2.21 to 5.06), and prostate (RR = 2.22; 95% CI, 1.63 to 3.03) cancers. The stomach cancer RR was higher for females than males (6.89 v 2.76; P = .04). The absolute risks to age 80 years ranged from 0.4% for male breast cancer to approximately 2.5% for pancreatic cancer for BRCA1 carriers and from approximately 2.5% for pancreatic cancer to 27% for prostate cancer for BRCA2 carriers., Conclusion: In addition to female breast and ovarian cancers, BRCA1 and BRCA2 PVs are associated with increased risks of male breast, pancreatic, stomach, and prostate (only BRCA2 PVs) cancers, but not with the risks of other previously suggested cancers. The estimated age-specific risks will refine cancer risk management in men and women with BRCA1/2 PVs., Competing Interests: Timothy R. RebbeckHonoraria: AstraZeneca (I)Consulting or Advisory Role: AstraZeneca (I) Andrew LeeEmployment: IlluminaPatents, Royalties, Other Intellectual Property: I am an inventor of the BOADICEA model that is licensed to Cambridge Enterprise (part of the University of Cambridge) for commercialization. I have received royalties from Cambridge Enterprise. Norbert ArnoldHonoraria: AstraZeneca Åke BorgHonoraria: Roche, AstraZenecaTravel, Accommodations, Expenses: Roche, AstraZeneca Sandrine CaputoResearch Funding: AstraZeneca/France (Inst) Wendy K. ChungConsulting or Advisory Role: RegeneronResearch Funding: Biogen Chrystelle ColasConsulting or Advisory Role: AstraZeneca/Merck, Pfizer Miguel de la HoyaConsulting or Advisory Role: AstraZenecaResearch Funding: AstraZeneca D. Gareth EvansHonoraria: AstraZeneca Tanja N. FehmConsulting or Advisory Role: Roche, Novartis, Pfizer, AstraZeneca, Daiichi Sankyo, MSD OncologyTravel, Accommodations, Expenses: Roche George FountzilasStock and Other Ownership Interests: GENPREX Inc (I), ARIAD (I), Deciphera Pharmaceuticals Inc (I), Daiichi Sankyo, RFL Holdings, FORMYCONHonoraria: AstraZenecaConsulting or Advisory Role: Pfizer, Roche, NovartisSpeakers' Bureau: Roche (I), LEO Pharma (I), Pfizer (I)Travel, Accommodations, Expenses: Merck (I), Pfizer (I), K.A.M Oncology/Hematology (I) Megan FronePatents, Royalties, Other Intellectual Property: Receive royalties for being a codeveloper of CancerGene Connect Eric HahnenConsulting or Advisory Role: AstraZeneca Helen HansonHonoraria: Pfizer Beth Y. KarlanConsulting or Advisory Role: Roche Pharma AG, Merck, Mercy Bioanalytics, GRAILResearch Funding: GOG Foundation (Inst), NCI-NRG Oncology (Inst), Genentech/Roche (Inst)Patents, Royalties, Other Intellectual Property: US and EU patent on gene signatureOther Relationship: Elsevier Irene KonstantopoulouSpeakers' Bureau: AstraZenecaResearch Funding: AstraZeneca Ava KwongHonoraria: Stryker, AstraZeneca Taiwan Limited, Roche Singapore, Pfizer, AstraZeneca Hong Kong Ltd Joanne Ngeow Yuen YieResearch Funding: AstraZeneca Rita K. SchmutzlerHonoraria: AstraZeneca, Clovis, MSD/AstraZenecaConsulting or Advisory Role: AstraZeneca, MSD/AstraZenecaResearch Funding: Amgen Leigha SenterConsulting or Advisory Role: AstraZeneca/MerckSpeakers' Bureau: AstraZeneca/Merck Christian F. SingerHonoraria: Novartis, AstraZeneca/MedImmune, Daiichi Sankyo Europe GmbHConsulting or Advisory Role: AstraZeneca/MedImmune, Daiichi-Sankyo, Gilead Sciences, Sanofi/Aventis, NovartisSpeakers' Bureau: Novartis, AstraZeneca/MedImmuneResearch Funding: Novartis, Sanofi, Myriad Genetics, Roche, AstraZeneca/MedImmuneTravel, Accommodations, Expenses: Roche, Novartis Dominique Stoppa-LyonnetHonoraria: AstraZeneca/Merck (Inst) Soo Hwang TeoSpeakers' Bureau: AstraZeneca, Pfizer, Roche Sebastian A. WagnerConsulting or Advisory Role: Bayer Antonis C. AntoniouPatents, Royalties, Other Intellectual Property: Inventor of the BOADICEA model, which has been licensed to Cambridge Enterprise for commercialization. May receive royalties if commercialization is realized.No other potential conflicts of interest were reported.

Published
2022
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15. Author Correction: A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers.

Author

Coignard J, Lush M, Beesley J, O'Mara TA, Dennis J, Tyrer JP, Barnes DR, McGuffog L, Leslie G, Bolla MK, Adank MA, Agata S, Ahearn T, Aittomäki K, Andrulis IL, Anton-Culver H, Arndt V, Arnold N, Aronson KJ, Arun BK, Augustinsson A, Azzollini J, Barrowdale D, Baynes C, Becher H, Bermisheva M, Bernstein L, Białkowska K, Blomqvist C, Bojesen SE, Bonanni B, Borg A, Brauch H, Brenner H, Burwinkel B, Buys SS, Caldés T, Caligo MA, Campa D, Carter BD, Castelao JE, Chang-Claude J, Chanock SJ, Chung WK, Claes KBM, Clarke CL, Collée JM, Conroy DM, Czene K, Daly MB, Devilee P, Diez O, Ding YC, Domchek SM, Dörk T, Dos-Santos-Silva I, Dunning AM, Dwek M, Eccles DM, Eliassen AH, Engel C, Eriksson M, Evans DG, Fasching PA, Flyger H, Fostira F, Friedman E, Fritschi L, Frost D, Gago-Dominguez M, Gapstur SM, Garber J, Garcia-Barberan V, García-Closas M, García-Sáenz JA, Gaudet MM, Gayther SA, Gehrig A, Georgoulias V, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Guénel P, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Harrington PA, Hart SN, He W, Hogervorst FBL, Hollestelle A, Hopper JL, Horcasitas DJ, Hulick PJ, Hunter DJ, Imyanitov EN, Jager A, Jakubowska A, James PA, Jensen UB, John EM, Jones ME, Kaaks R, Kapoor PM, Karlan BY, Keeman R, Khusnutdinova E, Kiiski JI, Ko YD, Kosma VM, Kraft P, Kurian AW, Laitman Y, Lambrechts D, Le Marchand L, Lester J, Lesueur F, Lindstrom T, Lopez-Fernández A, Loud JT, Luccarini C, Mannermaa A, Manoukian S, Margolin S, Martens JWM, Mebirouk N, Meindl A, Miller A, Milne RL, Montagna M, Nathanson KL, Neuhausen SL, Nevanlinna H, Nielsen FC, O'Brien KM, Olopade OI, Olson JE, Olsson H, Osorio A, Ottini L, Park-Simon TW, Parsons MT, Pedersen IS, Peshkin B, Peterlongo P, Peto J, Pharoah PDP, Phillips KA, Polley EC, Poppe B, Presneau N, Pujana MA, Punie K, Radice P, Rantala J, Rashid MU, Rennert G, Rennert HS, Robson M, Romero A, Rossing M, Saloustros E, Sandler DP, Santella R, Scheuner MT, Schmidt MK, Schmidt G, Scott C, Sharma P, Soucy P, Southey MC, Spinelli JJ, Steinsnyder Z, Stone J, Stoppa-Lyonnet D, Swerdlow A, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Teulé A, Thull DL, Tischkowitz M, Toland AE, Torres D, Trainer AH, Truong T, Tung N, Vachon CM, Vega A, Vijai J, Wang Q, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Wolk A, Yadav S, Yang XR, Yannoukakos D, Zheng W, Ziogas A, Zorn KK, Park SK, Thomassen M, Offit K, Schmutzler RK, Couch FJ, Simard J, Chenevix-Trench G, Easton DF, Andrieu N, and Antoniou AC

Abstract

A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-23162-4.

Published
2021
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16. A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers.

Author

Coignard J, Lush M, Beesley J, O'Mara TA, Dennis J, Tyrer JP, Barnes DR, McGuffog L, Leslie G, Bolla MK, Adank MA, Agata S, Ahearn T, Aittomäki K, Andrulis IL, Anton-Culver H, Arndt V, Arnold N, Aronson KJ, Arun BK, Augustinsson A, Azzollini J, Barrowdale D, Baynes C, Becher H, Bermisheva M, Bernstein L, Białkowska K, Blomqvist C, Bojesen SE, Bonanni B, Borg A, Brauch H, Brenner H, Burwinkel B, Buys SS, Caldés T, Caligo MA, Campa D, Carter BD, Castelao JE, Chang-Claude J, Chanock SJ, Chung WK, Claes KBM, Clarke CL, Collée JM, Conroy DM, Czene K, Daly MB, Devilee P, Diez O, Ding YC, Domchek SM, Dörk T, Dos-Santos-Silva I, Dunning AM, Dwek M, Eccles DM, Eliassen AH, Engel C, Eriksson M, Evans DG, Fasching PA, Flyger H, Fostira F, Friedman E, Fritschi L, Frost D, Gago-Dominguez M, Gapstur SM, Garber J, Garcia-Barberan V, García-Closas M, García-Sáenz JA, Gaudet MM, Gayther SA, Gehrig A, Georgoulias V, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Guénel P, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Harrington PA, Hart SN, He W, Hogervorst FBL, Hollestelle A, Hopper JL, Horcasitas DJ, Hulick PJ, Hunter DJ, Imyanitov EN, Jager A, Jakubowska A, James PA, Jensen UB, John EM, Jones ME, Kaaks R, Kapoor PM, Karlan BY, Keeman R, Khusnutdinova E, Kiiski JI, Ko YD, Kosma VM, Kraft P, Kurian AW, Laitman Y, Lambrechts D, Le Marchand L, Lester J, Lesueur F, Lindstrom T, Lopez-Fernández A, Loud JT, Luccarini C, Mannermaa A, Manoukian S, Margolin S, Martens JWM, Mebirouk N, Meindl A, Miller A, Milne RL, Montagna M, Nathanson KL, Neuhausen SL, Nevanlinna H, Nielsen FC, O'Brien KM, Olopade OI, Olson JE, Olsson H, Osorio A, Ottini L, Park-Simon TW, Parsons MT, Pedersen IS, Peshkin B, Peterlongo P, Peto J, Pharoah PDP, Phillips KA, Polley EC, Poppe B, Presneau N, Pujana MA, Punie K, Radice P, Rantala J, Rashid MU, Rennert G, Rennert HS, Robson M, Romero A, Rossing M, Saloustros E, Sandler DP, Santella R, Scheuner MT, Schmidt MK, Schmidt G, Scott C, Sharma P, Soucy P, Southey MC, Spinelli JJ, Steinsnyder Z, Stone J, Stoppa-Lyonnet D, Swerdlow A, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Teulé A, Thull DL, Tischkowitz M, Toland AE, Torres D, Trainer AH, Truong T, Tung N, Vachon CM, Vega A, Vijai J, Wang Q, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Wolk A, Yadav S, Yang XR, Yannoukakos D, Zheng W, Ziogas A, Zorn KK, Park SK, Thomassen M, Offit K, Schmutzler RK, Couch FJ, Simard J, Chenevix-Trench G, Easton DF, Andrieu N, and Antoniou AC

Subjects
Adult, Alleles, Female, Genotype, Humans, Linkage Disequilibrium, Middle Aged, Mutation, Quantitative Trait Loci genetics, Risk Factors, BRCA1 Protein genetics, BRCA2 Protein genetics, Breast Neoplasms genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study methods, Polymorphism, Single Nucleotide
Abstract

Breast cancer (BC) risk for BRCA1 and BRCA2 mutation carriers varies by genetic and familial factors. About 50 common variants have been shown to modify BC risk for mutation carriers. All but three, were identified in general population studies. Other mutation carrier-specific susceptibility variants may exist but studies of mutation carriers have so far been underpowered. We conduct a novel case-only genome-wide association study comparing genotype frequencies between 60,212 general population BC cases and 13,007 cases with BRCA1 or BRCA2 mutations. We identify robust novel associations for 2 variants with BC for BRCA1 and 3 for BRCA2 mutation carriers, P < 10 -8 , at 5 loci, which are not associated with risk in the general population. They include rs60882887 at 11p11.2 where MADD, SP11 and EIF1, genes previously implicated in BC biology, are predicted as potential targets. These findings will contribute towards customising BC polygenic risk scores for BRCA1 and BRCA2 mutation carriers.

Published
2021
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17. Circulating biomarkers for early detection and clinical management of colorectal cancer.

Author

Marcuello M, Vymetalkova V, Neves RPL, Duran-Sanchon S, Vedeld HM, Tham E, van Dalum G, Flügen G, Garcia-Barberan V, Fijneman RJ, Castells A, Vodicka P, Lind GE, Stoecklein NH, Heitzer E, and Gironella M

Subjects
Circulating MicroRNA, Circulating Tumor DNA, Colorectal Neoplasms etiology, Colorectal Neoplasms therapy, Disease Management, Early Detection of Cancer, Humans, Liquid Biopsy methods, Neoplastic Cells, Circulating, Prognosis, Biomarkers, Tumor blood, Colorectal Neoplasms blood, Colorectal Neoplasms diagnosis
Abstract

New non-invasive approaches that can complement and improve on current strategies for colorectal cancer (CRC) screening and management are urgently needed. A growing number of publications have documented that components of tumors, which are shed into the circulation, can be detected in the form of liquid biopsies and can be used to detect CRC at early stages, to predict response to certain therapies and to detect CRC recurrence in a minimally invasive way. The analysis of circulating tumor DNA (ctDNA), tumor-derived cells (CTC, circulating tumor cells) or circulating microRNA (miRNA) in blood and other body fluids, have a great potential to improve different aspects of CRC management. The challenge now is to find which types of components, biofluids and detection methods would be the most suitable to be applied in the different steps of CRC detection and treatment. This chapter will provide an up to date review on ctDNA, CTCs and circulating miRNAs as new biomarkers for CRC, either for clinical management or early detection, highlighting their advantages and limitations., (Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Published
2019
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18. Mendelian randomisation study of height and body mass index as modifiers of ovarian cancer risk in 22,588 BRCA1 and BRCA2 mutation carriers.

Author

Qian F, Rookus MA, Leslie G, Risch HA, Greene MH, Aalfs CM, Adank MA, Adlard J, Agnarsson BA, Ahmed M, Aittomäki K, Andrulis IL, Arnold N, Arun BK, Ausems MGEM, Azzollini J, Barrowdale D, Barwell J, Benitez J, Białkowska K, Bonadona V, Borde J, Borg A, Bradbury AR, Brunet J, Buys SS, Caldés T, Caligo MA, Campbell I, Carter J, Chiquette J, Chung WK, Claes KBM, Collée JM, Collonge-Rame MA, Couch FJ, Daly MB, Delnatte C, Diez O, Domchek SM, Dorfling CM, Eason J, Easton DF, Eeles R, Engel C, Evans DG, Faivre L, Feliubadaló L, Foretova L, Friedman E, Frost D, Ganz PA, Garber J, Garcia-Barberan V, Gehrig A, Glendon G, Godwin AK, Gómez Garcia EB, Hamann U, Hauke J, Hopper JL, Hulick PJ, Imyanitov EN, Isaacs C, Izatt L, Jakubowska A, Janavicius R, John EM, Karlan BY, Kets CM, Laitman Y, Lázaro C, Leroux D, Lester J, Lesueur F, Loud JT, Lubiński J, Łukomska A, McGuffog L, Mebirouk N, Meijers-Heijboer HEJ, Meindl A, Miller A, Montagna M, Mooij TM, Mouret-Fourme E, Nathanson KL, Nehoray B, Neuhausen SL, Nevanlinna H, Nielsen FC, Offit K, Olah E, Ong KR, Oosterwijk JC, Ottini L, Parsons MT, Peterlongo P, Pfeiler G, Pradhan N, Radice P, Ramus SJ, Rantala J, Rennert G, Robson M, Rodriguez GC, Salani R, Scheuner MT, Schmutzler RK, Shah PD, Side LE, Simard J, Singer CF, Steinemann D, Stoppa-Lyonnet D, Tan YY, Teixeira MR, Terry MB, Thomassen M, Tischkowitz M, Tognazzo S, Toland AE, Tung N, van Asperen CJ, van Engelen K, van Rensburg EJ, Venat-Bouvet L, Vierstraete J, Wagner G, Walker L, Weitzel JN, Yannoukakos D, Antoniou AC, Goldgar DE, Olopade OI, Chenevix-Trench G, Rebbeck TR, and Huo D

Subjects
Adult, Aged, Female, Humans, Menopause, Middle Aged, Ovarian Neoplasms genetics, Proportional Hazards Models, Body Height, Body Mass Index, Genes, BRCA1, Genes, BRCA2, Heterozygote, Mendelian Randomization Analysis, Mutation, Ovarian Neoplasms etiology
Abstract

Background: Height and body mass index (BMI) are associated with higher ovarian cancer risk in the general population, but whether such associations exist among BRCA1/2 mutation carriers is unknown., Methods: We applied a Mendelian randomisation approach to examine height/BMI with ovarian cancer risk using the Consortium of Investigators for the Modifiers of BRCA1/2 (CIMBA) data set, comprising 14,676 BRCA1 and 7912 BRCA2 mutation carriers, with 2923 ovarian cancer cases. We created a height genetic score (height-GS) using 586 height-associated variants and a BMI genetic score (BMI-GS) using 93 BMI-associated variants. Associations were assessed using weighted Cox models., Results: Observed height was not associated with ovarian cancer risk (hazard ratio [HR]: 1.07 per 10-cm increase in height, 95% confidence interval [CI]: 0.94-1.23). Height-GS showed similar results (HR = 1.02, 95% CI: 0.85-1.23). Higher BMI was significantly associated with increased risk in premenopausal women with HR = 1.25 (95% CI: 1.06-1.48) and HR = 1.59 (95% CI: 1.08-2.33) per 5-kg/m 2 increase in observed and genetically determined BMI, respectively. No association was found for postmenopausal women. Interaction between menopausal status and BMI was significant (P interaction  < 0.05)., Conclusion: Our observation of a positive association between BMI and ovarian cancer risk in premenopausal BRCA1/2 mutation carriers is consistent with findings in the general population.

Published
2019
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19. Novel genetic mutations detected by multigene panel are associated with hereditary colorectal cancer predisposition.

Author

Martin-Morales L, Rofes P, Diaz-Rubio E, Llovet P, Lorca V, Bando I, Perez-Segura P, de la Hoya M, Garre P, Garcia-Barberan V, and Caldes T

Subjects
Adult, Aged, Colorectal Neoplasms pathology, Colorectal Neoplasms, Hereditary Nonpolyposis genetics, DNA Mismatch Repair, Female, Genetic Predisposition to Disease, High-Throughput Nucleotide Sequencing methods, Humans, Male, Middle Aged, Penetrance, Colorectal Neoplasms genetics, DNA Mutational Analysis methods, Mutation
Abstract

Half of the high-risk colorectal cancer families that fulfill the clinical criteria for Lynch syndrome lack germline mutations in the mismatch repair (MMR) genes and remain unexplained. Genetic testing for hereditary cancers is rapidly evolving due to the introduction of multigene panels, which may identify more mutations than the old screening methods. The aim of this study is the use of a Next Generation Sequencing panel in order to find the genes involved in the cancer predisposition of these families. For this study, 98 patients from these unexplained families were tested with a multigene panel targeting 94 genes involved in cancer predisposition. The mutations found were validated by Sanger sequencing and the segregation was studied when possible. We identified 19 likely pathogenic variants in 18 patients. Out of these, 8 were found in MMR genes (5 in MLH1, 1 in MSH6 and 2 in PMS2). In addition, 11 mutations were detected in other genes, including high penetrance genes (APC, SMAD4 and TP53) and moderate penetrance genes (BRIP1, CHEK2, MUTYH, HNF1A and XPC). Mutations c.1194G>A in SMAD4, c.714&#95;720dup in PMS2, c.2050T>G in MLH1 and c.1635&#95;1636del in MSH6 were novel. In conclusion, the detection of new pathogenic mutations in high and moderate penetrance genes could contribute to the explanation of the heritability of colorectal cancer, changing the individual clinical management. Multigene panel testing is a more effective method to identify germline variants in cancer patients compared to single-gene approaches and should be therefore included in clinical laboratories., Competing Interests: The authors have declared that no competing interests exist.

Published
2018
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20. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer.

Author

Milne RL, Kuchenbaecker KB, Michailidou K, Beesley J, Kar S, Lindström S, Hui S, Lemaçon A, Soucy P, Dennis J, Jiang X, Rostamianfar A, Finucane H, Bolla MK, McGuffog L, Wang Q, Aalfs CM, Adams M, Adlard J, Agata S, Ahmed S, Ahsan H, Aittomäki K, Al-Ejeh F, Allen J, Ambrosone CB, Amos CI, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Arnold N, Aronson KJ, Auber B, Auer PL, Ausems MGEM, Azzollini J, Bacot F, Balmaña J, Barile M, Barjhoux L, Barkardottir RB, Barrdahl M, Barnes D, Barrowdale D, Baynes C, Beckmann MW, Benitez J, Bermisheva M, Bernstein L, Bignon YJ, Blazer KR, Blok MJ, Blomqvist C, Blot W, Bobolis K, Boeckx B, Bogdanova NV, Bojesen A, Bojesen SE, Bonanni B, Børresen-Dale AL, Bozsik A, Bradbury AR, Brand JS, Brauch H, Brenner H, Bressac-de Paillerets B, Brewer C, Brinton L, Broberg P, Brooks-Wilson A, Brunet J, Brüning T, Burwinkel B, Buys SS, Byun J, Cai Q, Caldés T, Caligo MA, Campbell I, Canzian F, Caron O, Carracedo A, Carter BD, Castelao JE, Castera L, Caux-Moncoutier V, Chan SB, Chang-Claude J, Chanock SJ, Chen X, Cheng TD, Chiquette J, Christiansen H, Claes KBM, Clarke CL, Conner T, Conroy DM, Cook J, Cordina-Duverger E, Cornelissen S, Coupier I, Cox A, Cox DG, Cross SS, Cuk K, Cunningham JM, Czene K, Daly MB, Damiola F, Darabi H, Davidson R, De Leeneer K, Devilee P, Dicks E, Diez O, Ding YC, Ditsch N, Doheny KF, Domchek SM, Dorfling CM, Dörk T, Dos-Santos-Silva I, Dubois S, Dugué PA, Dumont M, Dunning AM, Durcan L, Dwek M, Dworniczak B, Eccles D, Eeles R, Ehrencrona H, Eilber U, Ejlertsen B, Ekici AB, Eliassen AH, Engel C, Eriksson M, Fachal L, Faivre L, Fasching PA, Faust U, Figueroa J, Flesch-Janys D, Fletcher O, Flyger H, Foulkes WD, Friedman E, Fritschi L, Frost D, Gabrielson M, Gaddam P, Gammon MD, Ganz PA, Gapstur SM, Garber J, Garcia-Barberan V, García-Sáenz JA, Gaudet MM, Gauthier-Villars M, Gehrig A, Georgoulias V, Gerdes AM, Giles GG, Glendon G, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Goodfellow P, Greene MH, Alnæs GIG, Grip M, Gronwald J, Grundy A, Gschwantler-Kaulich D, Guénel P, Guo Q, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hallberg E, Hamann U, Hamel N, Hankinson S, Hansen TVO, Harrington P, Hart SN, Hartikainen JM, Healey CS, Hein A, Helbig S, Henderson A, Heyworth J, Hicks B, Hillemanns P, Hodgson S, Hogervorst FB, Hollestelle A, Hooning MJ, Hoover B, Hopper JL, Hu C, Huang G, Hulick PJ, Humphreys K, Hunter DJ, Imyanitov EN, Isaacs C, Iwasaki M, Izatt L, Jakubowska A, James P, Janavicius R, Janni W, Jensen UB, John EM, Johnson N, Jones K, Jones M, Jukkola-Vuorinen A, Kaaks R, Kabisch M, Kaczmarek K, Kang D, Kast K, Keeman R, Kerin MJ, Kets CM, Keupers M, Khan S, Khusnutdinova E, Kiiski JI, Kim SW, Knight JA, Konstantopoulou I, Kosma VM, Kristensen VN, Kruse TA, Kwong A, Lænkholm AV, Laitman Y, Lalloo F, Lambrechts D, Landsman K, Lasset C, Lazaro C, Le Marchand L, Lecarpentier J, Lee A, Lee E, Lee JW, Lee MH, Lejbkowicz F, Lesueur F, Li J, Lilyquist J, Lincoln A, Lindblom A, Lissowska J, Lo WY, Loibl S, Long J, Loud JT, Lubinski J, Luccarini C, Lush M, MacInnis RJ, Maishman T, Makalic E, Kostovska IM, Malone KE, Manoukian S, Manson JE, Margolin S, Martens JWM, Martinez ME, Matsuo K, Mavroudis D, Mazoyer S, McLean C, Meijers-Heijboer H, Menéndez P, Meyer J, Miao H, Miller A, Miller N, Mitchell G, Montagna M, Muir K, Mulligan AM, Mulot C, Nadesan S, Nathanson KL, Neuhausen SL, Nevanlinna H, Nevelsteen I, Niederacher D, Nielsen SF, Nordestgaard BG, Norman A, Nussbaum RL, Olah E, Olopade OI, Olson JE, Olswold C, Ong KR, Oosterwijk JC, Orr N, Osorio A, Pankratz VS, Papi L, Park-Simon TW, Paulsson-Karlsson Y, Lloyd R, Pedersen IS, Peissel B, Peixoto A, Perez JIA, Peterlongo P, Peto J, Pfeiler G, Phelan CM, Pinchev M, Plaseska-Karanfilska D, Poppe B, Porteous ME, Prentice R, Presneau N, Prokofieva D, Pugh E, Pujana MA, Pylkäs K, Rack B, Radice P, Rahman N, Rantala J, Rappaport-Fuerhauser C, Rennert G, Rennert HS, Rhenius V, Rhiem K, Richardson A, Rodriguez GC, Romero A, Romm J, Rookus MA, Rudolph A, Ruediger T, Saloustros E, Sanders J, Sandler DP, Sangrajrang S, Sawyer EJ, Schmidt DF, Schoemaker MJ, Schumacher F, Schürmann P, Schwentner L, Scott C, Scott RJ, Seal S, Senter L, Seynaeve C, Shah M, Sharma P, Shen CY, Sheng X, Shimelis H, Shrubsole MJ, Shu XO, Side LE, Singer CF, Sohn C, Southey MC, Spinelli JJ, Spurdle AB, Stegmaier C, Stoppa-Lyonnet D, Sukiennicki G, Surowy H, Sutter C, Swerdlow A, Szabo CI, Tamimi RM, Tan YY, Taylor JA, Tejada MI, Tengström M, Teo SH, Terry MB, Tessier DC, Teulé A, Thöne K, Thull DL, Tibiletti MG, Tihomirova L, Tischkowitz M, Toland AE, Tollenaar RAEM, Tomlinson I, Tong L, Torres D, Tranchant M, Truong T, Tucker K, Tung N, Tyrer J, Ulmer HU, Vachon C, van Asperen CJ, Van Den Berg D, van den Ouweland AMW, van Rensburg EJ, Varesco L, Varon-Mateeva R, Vega A, Viel A, Vijai J, Vincent D, Vollenweider J, Walker L, Wang Z, Wang-Gohrke S, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Wesseling J, Whittemore AS, Wijnen JT, Willett W, Winqvist R, Wolk A, Wu AH, Xia L, Yang XR, Yannoukakos D, Zaffaroni D, Zheng W, Zhu B, Ziogas A, Ziv E, Zorn KK, Gago-Dominguez M, Mannermaa A, Olsson H, Teixeira MR, Stone J, Offit K, Ottini L, Park SK, Thomassen M, Hall P, Meindl A, Schmutzler RK, Droit A, Bader GD, Pharoah PDP, Couch FJ, Easton DF, Kraft P, Chenevix-Trench G, García-Closas M, Schmidt MK, Antoniou AC, and Simard J

Subjects
Breast Neoplasms ethnology, Breast Neoplasms metabolism, Female, Genetic Predisposition to Disease ethnology, Genome-Wide Association Study methods, Heterozygote, Humans, Receptors, Estrogen metabolism, Risk Factors, White People genetics, BRCA1 Protein genetics, Breast Neoplasms genetics, Genetic Predisposition to Disease genetics, Mutation, Polymorphism, Single Nucleotide
Abstract

Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease. We conducted a GWAS using 21,468 ER-negative cases and 100,594 controls combined with 18,908 BRCA1 mutation carriers (9,414 with breast cancer), all of European origin. We identified independent associations at P < 5 × 10 -8 with ten variants at nine new loci. At P < 0.05, we replicated associations with 10 of 11 variants previously reported in ER-negative disease or BRCA1 mutation carrier GWAS and observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies. These 125 variants explain approximately 16% of the familial risk of this breast cancer subtype. There was high genetic correlation (0.72) between risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers. These findings may lead to improved risk prediction and inform further fine-mapping and functional work to better understand the biological basis of ER-negative breast cancer.

Published
2017
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21. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer.

Author

Phelan CM, Kuchenbaecker KB, Tyrer JP, Kar SP, Lawrenson K, Winham SJ, Dennis J, Pirie A, Riggan MJ, Chornokur G, Earp MA, Lyra PC Jr, Lee JM, Coetzee S, Beesley J, McGuffog L, Soucy P, Dicks E, Lee A, Barrowdale D, Lecarpentier J, Leslie G, Aalfs CM, Aben KKH, Adams M, Adlard J, Andrulis IL, Anton-Culver H, Antonenkova N, Aravantinos G, Arnold N, Arun BK, Arver B, Azzollini J, Balmaña J, Banerjee SN, Barjhoux L, Barkardottir RB, Bean Y, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bermisheva M, Bernardini MQ, Birrer MJ, Bjorge L, Black A, Blankstein K, Blok MJ, Bodelon C, Bogdanova N, Bojesen A, Bonanni B, Borg Å, Bradbury AR, Brenton JD, Brewer C, Brinton L, Broberg P, Brooks-Wilson A, Bruinsma F, Brunet J, Buecher B, Butzow R, Buys SS, Caldes T, Caligo MA, Campbell I, Cannioto R, Carney ME, Cescon T, Chan SB, Chang-Claude J, Chanock S, Chen XQ, Chiew YE, Chiquette J, Chung WK, Claes KBM, Conner T, Cook LS, Cook J, Cramer DW, Cunningham JM, D'Aloisio AA, Daly MB, Damiola F, Damirovna SD, Dansonka-Mieszkowska A, Dao F, Davidson R, DeFazio A, Delnatte C, Doheny KF, Diez O, Ding YC, Doherty JA, Domchek SM, Dorfling CM, Dörk T, Dossus L, Duran M, Dürst M, Dworniczak B, Eccles D, Edwards T, Eeles R, Eilber U, Ejlertsen B, Ekici AB, Ellis S, Elvira M, Eng KH, Engel C, Evans DG, Fasching PA, Ferguson S, Ferrer SF, Flanagan JM, Fogarty ZC, Fortner RT, Fostira F, Foulkes WD, Fountzilas G, Fridley BL, Friebel TM, Friedman E, Frost D, Ganz PA, Garber J, García MJ, Garcia-Barberan V, Gehrig A, Gentry-Maharaj A, Gerdes AM, Giles GG, Glasspool R, Glendon G, Godwin AK, Goldgar DE, Goranova T, Gore M, Greene MH, Gronwald J, Gruber S, Hahnen E, Haiman CA, Håkansson N, Hamann U, Hansen TVO, Harrington PA, Harris HR, Hauke J, Hein A, Henderson A, Hildebrandt MAT, Hillemanns P, Hodgson S, Høgdall CK, Høgdall E, Hogervorst FBL, Holland H, Hooning MJ, Hosking K, Huang RY, Hulick PJ, Hung J, Hunter DJ, Huntsman DG, Huzarski T, Imyanitov EN, Isaacs C, Iversen ES, Izatt L, Izquierdo A, Jakubowska A, James P, Janavicius R, Jernetz M, Jensen A, Jensen UB, John EM, Johnatty S, Jones ME, Kannisto P, Karlan BY, Karnezis A, Kast K, Kennedy CJ, Khusnutdinova E, Kiemeney LA, Kiiski JI, Kim SW, Kjaer SK, Köbel M, Kopperud RK, Kruse TA, Kupryjanczyk J, Kwong A, Laitman Y, Lambrechts D, Larrañaga N, Larson MC, Lazaro C, Le ND, Le Marchand L, Lee JW, Lele SB, Leminen A, Leroux D, Lester J, Lesueur F, Levine DA, Liang D, Liebrich C, Lilyquist J, Lipworth L, Lissowska J, Lu KH, Lubinński J, Luccarini C, Lundvall L, Mai PL, Mendoza-Fandiño G, Manoukian S, Massuger LFAG, May T, Mazoyer S, McAlpine JN, McGuire V, McLaughlin JR, McNeish I, Meijers-Heijboer H, Meindl A, Menon U, Mensenkamp AR, Merritt MA, Milne RL, Mitchell G, Modugno F, Moes-Sosnowska J, Moffitt M, Montagna M, Moysich KB, Mulligan AM, Musinsky J, Nathanson KL, Nedergaard L, Ness RB, Neuhausen SL, Nevanlinna H, Niederacher D, Nussbaum RL, Odunsi K, Olah E, Olopade OI, Olsson H, Olswold C, O'Malley DM, Ong KR, Onland-Moret NC, Orr N, Orsulic S, Osorio A, Palli D, Papi L, Park-Simon TW, Paul J, Pearce CL, Pedersen IS, Peeters PHM, Peissel B, Peixoto A, Pejovic T, Pelttari LM, Permuth JB, Peterlongo P, Pezzani L, Pfeiler G, Phillips KA, Piedmonte M, Pike MC, Piskorz AM, Poblete SR, Pocza T, Poole EM, Poppe B, Porteous ME, Prieur F, Prokofyeva D, Pugh E, Pujana MA, Pujol P, Radice P, Rantala J, Rappaport-Fuerhauser C, Rennert G, Rhiem K, Rice P, Richardson A, Robson M, Rodriguez GC, Rodríguez-Antona C, Romm J, Rookus MA, Rossing MA, Rothstein JH, Rudolph A, Runnebaum IB, Salvesen HB, Sandler DP, Schoemaker MJ, Senter L, Setiawan VW, Severi G, Sharma P, Shelford T, Siddiqui N, Side LE, Sieh W, Singer CF, Sobol H, Song H, Southey MC, Spurdle AB, Stadler Z, Steinemann D, Stoppa-Lyonnet D, Sucheston-Campbell LE, Sukiennicki G, Sutphen R, Sutter C, Swerdlow AJ, Szabo CI, Szafron L, Tan YY, Taylor JA, Tea MK, Teixeira MR, Teo SH, Terry KL, Thompson PJ, Thomsen LCV, Thull DL, Tihomirova L, Tinker AV, Tischkowitz M, Tognazzo S, Toland AE, Tone A, Trabert B, Travis RC, Trichopoulou A, Tung N, Tworoger SS, van Altena AM, Van Den Berg D, van der Hout AH, van der Luijt RB, Van Heetvelde M, Van Nieuwenhuysen E, van Rensburg EJ, Vanderstichele A, Varon-Mateeva R, Vega A, Edwards DV, Vergote I, Vierkant RA, Vijai J, Vratimos A, Walker L, Walsh C, Wand D, Wang-Gohrke S, Wappenschmidt B, Webb PM, Weinberg CR, Weitzel JN, Wentzensen N, Whittemore AS, Wijnen JT, Wilkens LR, Wolk A, Woo M, Wu X, Wu AH, Yang H, Yannoukakos D, Ziogas A, Zorn KK, Narod SA, Easton DF, Amos CI, Schildkraut JM, Ramus SJ, Ottini L, Goodman MT, Park SK, Kelemen LE, Risch HA, Thomassen M, Offit K, Simard J, Schmutzler RK, Hazelett D, Monteiro AN, Couch FJ, Berchuck A, Chenevix-Trench G, Goode EL, Sellers TA, Gayther SA, Antoniou AC, and Pharoah PDP

Subjects
Alleles, BRCA1 Protein genetics, BRCA2 Protein genetics, Carcinoma, Ovarian Epithelial, Female, Genome-Wide Association Study, Genotype, Humans, Meta-Analysis as Topic, Mutation, Neoplasms, Glandular and Epithelial pathology, Ovarian Neoplasms pathology, Polymorphism, Single Nucleotide, Risk Factors, Telomere-Binding Proteins genetics, Genetic Loci genetics, Genetic Predisposition to Disease genetics, Neoplasms, Glandular and Epithelial genetics, Ovarian Neoplasms genetics
Abstract

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 BRCA1 and BRCA2 mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.

Published
2017
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22. Tumor burden monitoring using cell-free tumor DNA could be limited by tumor heterogeneity in advanced breast cancer and should be evaluated together with radiographic imaging.

Author

García-Saenz JA, Ayllón P, Laig M, Acosta-Eyzaguirre D, García-Esquinas M, Montes M, Sanz J, Barquín M, Moreno F, Garcia-Barberan V, Díaz-Rubio E, Caldes T, and Romero A

Subjects
Adult, Aged, Aged, 80 and over, Breast Neoplasms blood, Breast Neoplasms pathology, Class I Phosphatidylinositol 3-Kinases, DNA Mutational Analysis, Female, Humans, Mammography, Middle Aged, Mutation, Missense, Neoplasm Staging, Phosphatidylinositol 3-Kinases genetics, Tumor Burden, Biomarkers, Tumor blood, Breast Neoplasms diagnostic imaging, DNA, Neoplasm blood
Abstract

Background: Accurate measurement of tumor burden in breast cancer disease is essential to improve the clinical management of patients. In this study, we evaluate whether the fluctuations in the fraction of PIK3CA mutant allele correlates with tumor response according to RECIST criteria and tumor markers quantification., Methods: Eighty six plasma samples were analyzed by digital PCR using Rare Mutation Assays for E542K, E545K and H1047R. Mutant cfDNA and tumor markers CA15-3 and CEA were compared with radiographic imaging., Results: The agreement between PIK3CA mutation status in FFPE samples and circulating tumor DNA (ctDNA) was moderate (K = 0.591; 95% IC = 0.371-0.811). Restricting the analysis to the metastatic patients, we found a good agreement between PIK3CA mutation status assessed in liquid and solid biopsy (K = 0.798 95%; IC = 0.586-1). ctDNA showed serial changes with fluctuations correlating with tumor markers 15.3 and CEA in 7 out of 8 cases with Pearson correlation coefficients ranging from 0.99 to 0.46 and from 0.99 to 0.38 respectively. Similarly, fluctuations in the fraction of PIK3CA mutant allele always correlated with changes in lesion size seen on images, although in two cases it did not correlate with treatment responses as defined by RECIST criteria., Conclusion: oncogenic mutation quantification in plasma samples can be useful to monitor treatment outcome. However, it might be limited by tumor heterogeneity in advanced disease and it should be evaluated together with radiographic imaging.

Published
2017
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23. Fine-Scale Mapping at 9p22.2 Identifies Candidate Causal Variants That Modify Ovarian Cancer Risk in BRCA1 and BRCA2 Mutation Carriers.

Author

Vigorito E, Kuchenbaecker KB, Beesley J, Adlard J, Agnarsson BA, Andrulis IL, Arun BK, Barjhoux L, Belotti M, Benitez J, Berger A, Bojesen A, Bonanni B, Brewer C, Caldes T, Caligo MA, Campbell I, Chan SB, Claes KB, Cohn DE, Cook J, Daly MB, Damiola F, Davidson R, Pauw Ad, Delnatte C, Diez O, Domchek SM, Dumont M, Durda K, Dworniczak B, Easton DF, Eccles D, Edwinsdotter Ardnor C, Eeles R, Ejlertsen B, Ellis S, Evans DG, Feliubadalo L, Fostira F, Foulkes WD, Friedman E, Frost D, Gaddam P, Ganz PA, Garber J, Garcia-Barberan V, Gauthier-Villars M, Gehrig A, Gerdes AM, Giraud S, Godwin AK, Goldgar DE, Hake CR, Hansen TV, Healey S, Hodgson S, Hogervorst FB, Houdayer C, Hulick PJ, Imyanitov EN, Isaacs C, Izatt L, Izquierdo A, Jacobs L, Jakubowska A, Janavicius R, Jaworska-Bieniek K, Jensen UB, John EM, Vijai J, Karlan BY, Kast K, Khan S, Kwong A, Laitman Y, Lester J, Lesueur F, Liljegren A, Lubinski J, Mai PL, Manoukian S, Mazoyer S, Meindl A, Mensenkamp AR, Montagna M, Nathanson KL, Neuhausen SL, Nevanlinna H, Niederacher D, Olah E, Olopade OI, Ong KR, Osorio A, Park SK, Paulsson-Karlsson Y, Pedersen IS, Peissel B, Peterlongo P, Pfeiler G, Phelan CM, Piedmonte M, Poppe B, Pujana MA, Radice P, Rennert G, Rodriguez GC, Rookus MA, Ross EA, Schmutzler RK, Simard J, Singer CF, Slavin TP, Soucy P, Southey M, Steinemann D, Stoppa-Lyonnet D, Sukiennicki G, Sutter C, Szabo CI, Tea MK, Teixeira MR, Teo SH, Terry MB, Thomassen M, Tibiletti MG, Tihomirova L, Tognazzo S, van Rensburg EJ, Varesco L, Varon-Mateeva R, Vratimos A, Weitzel JN, McGuffog L, Kirk J, Toland AE, Hamann U, Lindor N, Ramus SJ, Greene MH, Couch FJ, Offit K, Pharoah PD, Chenevix-Trench G, and Antoniou AC

Subjects
Chromosome Mapping, Female, Humans, Polymorphism, Single Nucleotide, Chromosomes, Human, Pair 9, Genes, BRCA1, Genes, BRCA2, Genetic Carrier Screening, Genetic Predisposition to Disease, Ovarian Neoplasms genetics
Abstract

Population-based genome wide association studies have identified a locus at 9p22.2 associated with ovarian cancer risk, which also modifies ovarian cancer risk in BRCA1 and BRCA2 mutation carriers. We conducted fine-scale mapping at 9p22.2 to identify potential causal variants in BRCA1 and BRCA2 mutation carriers. Genotype data were available for 15,252 (2,462 ovarian cancer cases) BRCA1 and 8,211 (631 ovarian cancer cases) BRCA2 mutation carriers. Following genotype imputation, ovarian cancer associations were assessed for 4,873 and 5,020 SNPs in BRCA1 and BRCA 2 mutation carriers respectively, within a retrospective cohort analytical framework. In BRCA1 mutation carriers one set of eight correlated candidate causal variants for ovarian cancer risk modification was identified (top SNP rs10124837, HR: 0.73, 95%CI: 0.68 to 0.79, p-value 2× 10-16). These variants were located up to 20 kb upstream of BNC2. In BRCA2 mutation carriers one region, up to 45 kb upstream of BNC2, and containing 100 correlated SNPs was identified as candidate causal (top SNP rs62543585, HR: 0.69, 95%CI: 0.59 to 0.80, p-value 1.0 × 10-6). The candidate causal in BRCA1 mutation carriers did not include the strongest associated variant at this locus in the general population. In sum, we identified a set of candidate causal variants in a region that encompasses the BNC2 transcription start site. The ovarian cancer association at 9p22.2 may be mediated by different variants in BRCA1 mutation carriers and in the general population. Thus, potentially different mechanisms may underlie ovarian cancer risk for mutation carriers and the general population.

Published
2016
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