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3. A Survey on Resource Allocation and Energy Efficient Maximization for IRS-Aided MIMO Wireless Communication

Author

Nivetha Baskar, Poongundran Selvaprabhu, Vinoth Babu Kumaravelu, Sunil Chinnadurai, Vetriveeran Rajamani, Vivek Menon U, and Vinoth Kumar C

Subjects
Multiple-input multiple-output (MIMO), intelligent reflecting surfaces (IRS), resource allocation, energy efficiency, optimization technique, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

This survey paper provides a comprehensive overview of integrating Multiple-Input Multiple-Output (MIMO) with Intelligent Reflecting Surfaces (IRS) in wireless communication systems. IRS is known as reconfigurable metasurfaces, have emerged as a transformative technology to enhance wireless communication performance by manipulating the propagation environment. This work delves into the fundamental concepts of MIMO and IRS technologies, exploring their benefits and applications. It subsequently investigates the synergies of resource allocation and energy efficiency that emerge when these technologies are combined, elucidating the IRS improved in MIMO systems through signal manipulation and beamforming. Through an in-depth analysis of various techniques and cutting-edge algorithms in resource allocation and energy efficiency can explore the key research areas such as optimization techniques, beamforming strategies and practical implementation consideration. Furthermore, it provides open research directions, individually addressing topics such as limitations of resource allocation and energy efficiency in the MIMO IRS system. This paper offers insights into MIMO-enabled IRS systems challenges and future trends. Through presenting a consolidated view of the current state-of-the-art, this survey underscores their potential to revolutionize wireless communication paradigms, ushering in an era of enhanced connectivity, spectral efficiency and improved coverage.

Published
2024
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5. Seismic Response Prediction of RC Buildings Using Artificial Neural Network

Author

Menon, U. Abhijit, Nair, Deepthy S., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Marano, Giuseppe Carlo, editor, Rahul, A. V., editor, Antony, Jiji, editor, Unni Kartha, G., editor, Kavitha, P. E., editor, and Preethi, M., editor

Published
2023
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8. A novel unified interference management scheme for multicellular MIMO communication with instantaneous relay.

Author

Menon U, Vivek and Selvaprabhu, Poongundran

Subjects
*WIRELESS communications, *TELECOMMUNICATION, *BENCHMARKING (Management), *DEGREES of freedom, *IMAC (Computer)
Abstract

Summary: In the world of emerging wireless networks, interference poses a significant challenge to reliable wireless communication. Additionally, these networks are prone to path loss and blockages, which can be addressed by utilizing the advanced technology of multihop communication with instantaneous relay (IR). However, scenarios involving IR‐assisted networks are considered instances of multihop communications that face potential obstacles caused by interference. As a result, multiple interference management approaches exist to tackle this interference issue, among which aligned interference neutralization (AIN) is a state‐of‐the‐art technology that seamlessly unifies two established interference management strategies: interference alignment (IA) and interference neutralization (IN). Therefore, this paper presents a novel tristaged AIN scheme to mitigate interference in a multicellular multiple‐input multiple‐output (MIMO) interference multiple access channel (IMAC). In the proposed scheme, the initial stage‐1 involves transmitting message signals from individual transmitters or users to the IR and the receiving base stations (BSs). In stage‐2, the IR neutralizes half of the interference signals by performing IN. Finally, in stage‐3, IA is carried out at the receiver BS terminals, aligning the remaining interference signals equally within the available dimensions. Based on this proposed approach, we determined that for an IR‐aided multicellular MIMO IMAC, the achievable degree of freedom (DoF) is 2N. The proposed approach's robustness and effectiveness have been analyzed through extensive simulations, and these simulation results indicated that the proposed approach outperforms other benchmark interference management techniques in terms of DoF and sum rate, thereby improving user performance. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Prognostic gene expression signature for high-grade serous ovarian cancer

Author

Bowtell, D., Chenevix-Trench, G., Green, A., Webb, P., DeFazio, A., Gertig, D., Traficante, N., Fereday, S., Moore, S., Hung, J., Harrap, K., Sadkowsky, T., Pandeya, N., Malt, M., Mellon, A., Robertson, R., Vanden Bergh, T., Jones, M., Mackenzie, P., Maidens, J., Nattress, K., Chiew, Y.E., Stenlake, A., Sullivan, H., Alexander, B., Ashover, P., Brown, S., Corrish, T., Green, L., Jackman, L., Ferguson, K., Martin, K., Martyn, A., Ranieri, B., White, J., Jayde, V., Mamers, P., Bowes, L., Galletta, L., Giles, D., Hendley, J., Alsop, K., Schmidt, T., Shirley, H., Ball, C., Young, C., Viduka, S., Tran, Hoa, Bilic, Sanela, Glavinas, Lydia, Brooks, Julia, Stuart-Harris, R., Kirsten, F., Rutovitz, J., Clingan, P., Glasgow, A., Proietto, A., Braye, S., Otton, G., Shannon, J., Bonaventura, T., Stewart, J., Begbie, S., Friedlander, M., Bell, D., Baron-Hay, S., Ferrier,a, A., Gard, G., Nevell, D., Pavlakis, N., Valmadre, S., Young, B., Camaris, C., Crouch, R., Edwards, L., Hacker, N., Marsden, D., Robertson, G., Beale, P., Beith, J., Carter, J., Dalrymple, C., Houghton, R., Russell, P., Links, M., Grygiel, J., Hill, J., Brand, A., Byth, K., Jaworski, R., Harnett, P., Sharma, R., Wain, G., Ward, B., Papadimos, D., Crandon, A., Cummings, M., Horwood, K., Obermair, A., Perrin, L., Wyld, D., Nicklin, J., Davy, M., Oehler, M.K., Hall, C., Dodd, T., Healy, T., Pittman, K., Henderson, D., Miller, J., Pierdes, J., Blomfield, P., Challis, D., McIntosh, R., Parker, A., Brown, B., Rome, R., Allen, D., Grant, P., Hyde, S., Laurie, R., Robbie, M., Healy, D., Jobling, T., Manolitsas, T., McNealage, J., Rogers, P., Susil, B., Sumithran, E., Simpson, I., Phillips, K., Rischin, D., Fox, S., Johnson, D., Lade, S., Loughrey, M., O’Callaghan, N., Murray, W., Waring, P., Billson, V., Pyman, J., Neesham, D., Quinn, M., Underhill, C., Bell, R., Ng, L.F., Blum, R., Ganju, V., Hammond, I., Leung, Y., McCartney, A., Buck, M., Haviv, I., Purdie, D., Whiteman, D., Zeps, N., Millstein, J., Budden, T., Goode, E.L., Anglesio, M.S., Talhouk, A., Intermaggio, M.P., Leong, H.S., Chen, S., Elatre, W., Gilks, B., Nazeran, T., Volchek, M., Bentley, R.C., Wang, C., Chiu, D.S., Kommoss, S., Leung, S.C.Y., Senz, J., Lum, A., Chow, V., Sudderuddin, H., Mackenzie, R., George, J., Steed, H., Koziak, J.M., Köbel, M., McNeish, I.A., Goranova, T., Ennis, D., Macintyre, G., Silva De Silva, D., Ramón y Cajal, T., García-Donas, J., Hernando Polo, S., Rodriguez, G.C., Cushing-Haugen, K.L., Harris, H.R., Greene, C.S., Zelaya, R.A., Behrens, S., Fortner, R.T., Sinn, P., Herpel, E., Lester, J., Lubiński, J., Oszurek, O., Tołoczko, A., Cybulski, C., Menkiszak, J., Pearce, C.L., Pike, M.C., Tseng, C., Alsop, J., Rhenius, V., Song, H., Jimenez-Linan, M., Piskorz, A.M., Gentry-Maharaj, A., Karpinskyj, C., Widschwendter, M., Singh, N., Kennedy, C.J., Harnett, P.R., Gao, B., Johnatty, S.E., Sayer, R., Boros, J., Winham, S.J., Keeney, G.L., Kaufmann, S.H., Larson, M.C., Luk, H., Hernandez, B.Y., Thompson, P.J., Wilkens, L.R., Carney, M.E., Trabert, B., Lissowska, J., Brinton, L., Sherman, M.E., Bodelon, C., Hinsley, S., Lewsley, L.A., Glasspool, R., Banerjee, S.N., Stronach, E.A., Haluska, P., Ray-Coquard, I., Mahner, S., Winterhoff, B., Slamon, D., Levine, D.A., Kelemen, L.E., Benitez, J., Chang-Claude, J., Gronwald, J., Wu, A.H., Menon, U., Goodman, M.T., Schildkraut, J.M., Wentzensen, N., Brown, R., Berchuck, A., deFazio, A., Gayther, S.A., García, M.J., Henderson, M.J., Rossing, M.A., Beeghly-Fadiel, A., Fasching, P.A., Orsulic, S., Karlan, B.Y., Konecny, G.E., Huntsman, D.G., Bowtell, D.D., Brenton, J.D., Doherty, J.A., Pharoah, P.D.P., and Ramus, S.J.

Published
2020
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11. Epithelial-Mesenchymal Transition (EMT) Gene Variants and Epithelial Ovarian Cancer (EOC) Risk

Author

Amankwah, EK, Lin, HY, Tyrer, JP, Lawrenson, K, Dennis, J, Chornokur, G, Aben, KKH, Anton-Culver, H, Antonenkova, N, Bruinsma, F, Bandera, EV, Bean, YT, Beckmann, MW, Bisogna, M, Bjorge, L, Bogdanova, N, Brinton, LA, Brooks-Wilson, A, Bunker, CH, Butzow, R, Campbell, IG, Carty, K, Chen, Z, Chen, YA, Chang-Claude, J, Cook, LS, Cramer, DW, Cunningham, JM, Cybulski, C, Dansonka-Mieszkowska, A, du Bois, A, Despierre, E, Dicks, E, Doherty, JA, Dörk, T, Dürst, M, Easton, DF, Eccles, DM, Edwards, RP, Ekici, AB, Fasching, PA, Fridley, BL, Gao, YT, Gentry-Maharaj, A, Giles, GG, Glasspool, R, Goodman, MT, Gronwald, J, Harrington, P, Harter, P, Hasmad, HN, Hein, A, Heitz, F, Hildebrandt, MAT, Hillemanns, P, Hogdall, CK, Hogdall, E, Hosono, S, Iversen, ES, Jakubowska, A, Jensen, A, Ji, BT, Karlan, BY, Jim, H, Kellar, M, Kiemeney, LA, Krakstad, C, Kjaer, SK, Kupryjanczyk, J, Lambrechts, D, Lambrechts, S, Le, ND, Lee, AW, Lele, S, Leminen, A, Lester, J, Levine, DA, Liang, D, Lim, BK, Lissowska, J, Lu, K, Lubinski, J, Lundvall, L, Massuger, LFAG, Matsuo, K, Mcguire, V, Mclaughlin, JR, Mcneish, I, Menon, U, Milne, RL, Modugno, F, Moysich, KB, Ness, RB, Nevanlinna, H, Eilber, U, Odunsi, K, Olson, SH, Orlow, I, Orsulic, S, and Weber, RP

Subjects
Epidemiology, Public Health and Health Services, Genetics
Abstract

Epithelial-mesenchymal transition (EMT) is a process whereby epithelial cells assume mesenchymal characteristics to facilitate cancer metastasis. However, EMT also contributes to the initiation and development of primary tumors. Prior studies that explored the hypothesis that EMT gene variants contribute to epithelial ovarian carcinoma (EOC) risk have been based on small sample sizes and none have sought replication in an independent population. We screened 15,816 single-nucleotide polymorphisms (SNPs) in 296 genes in a discovery phase using data from a genome-wide association study of EOC among women of European ancestry (1,947 cases and 2,009 controls) and identified 793 variants in 278 EMT-related genes that were nominally (P < 0.05) associated with invasive EOC. These SNPs were then genotyped in a larger study of 14,525 invasive-cancer patients and 23,447 controls. A P-value

Published
2015

12. Evaluation of candidate stromal epithelial cross-talk genes identifies association between risk of serous ovarian cancer and TERT, a cancer susceptibility "hot-spot".

Author

Johnatty, SE, Beesley, J, Chen, X, Macgregor, S, Duffy, DL, Spurdle, AB, deFazio, A, Gava, N, Webb, PM, Rossing, MA, Doherty, JA, Goodman, MT, Lurie, G, Thompson, PJ, Wilkens, LR, Ness, RB, Moysich, KB, Chang-Claude, J, Wang-Gohrke, S, Cramer, DW, Terry, KL, Hankinson, SE, Tworoger, SS, Garcia-Closas, M, Yang, H, Lissowska, J, Chanock, SJ, Pharoah, PD, Song, H, Whitemore, AS, Pearce, CL, Stram, DO, Wu, AH, Pike, MC, Gayther, SA, Ramus, SJ, Menon, U, Gentry-Maharaj, A, Anton-Culver, H, Ziogas, A, Hogdall, E, Kjaer, SK, Hogdall, C, Berchuck, A, Schildkraut, JM, Iversen, ES, Moorman, PG, Phelan, CM, Sellers, TA, Cunningham, JM, Vierkant, RA, Rider, DN, Goode, EL, Haviv, I, Chenevix-Trench, G, Ovarian, CAC, Australian, OCSG, and Australian, CSOC

Abstract

We hypothesized that variants in genes expressed as a consequence of interactions between ovarian cancer cells and the host micro-environment could contribute to cancer susceptibility. We therefore used a two-stage approach to evaluate common single nucleotide polymorphisms (SNPs) in 173 genes involved in stromal epithelial interactions in the Ovarian Cancer Association Consortium (OCAC). In the discovery stage, cases with epithelial ovarian cancer (n=675) and controls (n=1,162) were genotyped at 1,536 SNPs using an Illumina GoldenGate assay. Based on Positive Predictive Value estimates, three SNPs-PODXL rs1013368, ITGA6 rs13027811, and MMP3 rs522616-were selected for replication using TaqMan genotyping in up to 3,059 serous invasive cases and 8,905 controls from 16 OCAC case-control studies. An additional 18 SNPs with Pper-alleleor=0.5). However genotypes at TERT rs7726159 were associated with ovarian cancer risk in the smaller, five-study replication study (Pper-allele=0.03). Combined analysis of the discovery and replication sets for this TERT SNP showed an increased risk of serous ovarian cancer among non-Hispanic whites [adj. ORper-allele 1.14 (1.04-1.24) p=0.003]. Our study adds to the growing evidence that, like the 8q24 locus, the telomerase reverse transcriptase locus at 5p15.33, is a general cancer susceptibility locus.

Published
2010

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

Author

Quaye, L, Song, H, Ramus, SJ, Gentry-Maharaj, A, Høgdall, E, DiCioccio, RA, McGuire, V, Wu, AH, Van Den Berg, DJ, Pike, MC, Wozniak, E, Doherty, JA, Rossing, MA, Ness, RB, Moysich, KB, Høgdall, C, Blaakaer, J, The Ovarian Cancer Association Consortium, Easton, DF, Ponder, BAJ, Jacobs, IJ, Menon, U, Whittemore, AS, Krüger-Kjaer, S, Pearce, CL, Pharoah, PDP, and Gayther, SA

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Rare Diseases, Human Genome, Clinical Research, Genetics, Ovarian Cancer, Cancer, Patient Safety, 2.1 Biological and endogenous factors, Aetiology, Adult, Aged, Class I Phosphatidylinositol 3-Kinases, Female, Genes, erbB-2, Genetic Predisposition to Disease, Genotype, Haplotypes, Humans, Intracellular Signaling Peptides and Proteins, Middle Aged, Oncogenes, Ovarian Neoplasms, Phosphatidylinositol 3-Kinases, Polymorphism, Single Nucleotide, Proto-Oncogene Proteins, Proto-Oncogene Proteins B-raf, Proto-Oncogene Proteins p21(ras), ras Proteins, risk of ovarian cancer, polymorphism, oncogene, association studies, Ovarian Cancer Association Consortium, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

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

Published
2009

14. Validating genetic risk associations for ovarian cancer through the international Ovarian Cancer Association Consortium.

Author

Pearce, CL, Near, AM, Van Den Berg, DJ, Ramus, SJ, Gentry-Maharaj, A, Menon, U, Gayther, SA, Anderson, AR, Edlund, CK, Wu, AH, Chen, X, Beesley, J, Webb, PM, Holt, SK, Chen, C, Doherty, JA, Rossing, MA, Whittemore, AS, McGuire, V, DiCioccio, RA, Goodman, MT, Lurie, G, Carney, ME, Wilkens, LR, Ness, RB, Moysich, KB, Edwards, R, Jennison, E, Kjaer, SK, Hogdall, E, Hogdall, CK, Goode, EL, Sellers, TA, Vierkant, RA, Cunningham, JM, Schildkraut, JM, Berchuck, A, Moorman, PG, Iversen, ES, Cramer, DW, Terry, KL, Vitonis, AF, Titus-Ernstoff, L, Song, H, Pharoah, PDP, Spurdle, AB, Anton-Culver, H, Ziogas, A, Brewster, W, Galitovskiy, V, Chenevix-Trench, G, Australian Cancer Study, and Australian Ovarian Cancer Study Group

Subjects
Australian Cancer Study, Australian Ovarian Cancer Study Group, Humans, Ovarian Neoplasms, Neoplasm Invasiveness, Genetic Predisposition to Disease, DNA Ligases, DNA-Binding Proteins, Risk Factors, Case-Control Studies, Cohort Studies, Genotype, Heterozygote, Homozygote, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, Female, Cytochrome P-450 CYP3A, DNA Ligase ATP, ovarian cancer, genetic susceptibility, oestrogen metabolism, CYP3A4, pooled-analyses, Polymorphism, Single Nucleotide, Ovarian Cancer, Genetics, Clinical Research, Cancer, Rare Diseases, 2.1 Biological and endogenous factors, Oncology & Carcinogenesis, Oncology and Carcinogenesis, Public Health and Health Services
Abstract

The search for genetic variants associated with ovarian cancer risk has focused on pathways including sex steroid hormones, DNA repair, and cell cycle control. The Ovarian Cancer Association Consortium (OCAC) identified 10 single-nucleotide polymorphisms (SNPs) in genes in these pathways, which had been genotyped by Consortium members and a pooled analysis of these data was conducted. Three of the 10 SNPs showed evidence of an association with ovarian cancer at P< or =0.10 in a log-additive model: rs2740574 in CYP3A4 (P=0.011), rs1805386 in LIG4 (P=0.007), and rs3218536 in XRCC2 (P=0.095). Additional genotyping in other OCAC studies was undertaken and only the variant in CYP3A4, rs2740574, continued to show an association in the replication data among homozygous carriers: OR(homozygous(hom))=2.50 (95% CI 0.54-11.57, P=0.24) with 1406 cases and 2827 controls. Overall, in the combined data the odds ratio was 2.81 among carriers of two copies of the minor allele (95% CI 1.20-6.56, P=0.017, p(het) across studies=0.42) with 1969 cases and 3491 controls. There was no association among heterozygous carriers. CYP3A4 encodes a key enzyme in oestrogen metabolism and our finding between rs2740574 and risk of ovarian cancer suggests that this pathway may be involved in ovarian carcinogenesis. Additional follow-up is warranted.

Published
2009

15. Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel

Author

Levi, H, Carmi, S, Rosset, S, Yerushalmi, R, Zick, A, Yablonski-Peretz, T, Wang, Q, Bolla, MK, Dennis, J, Michailidou, K, Lush, M, Ahearn, T, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Arndt, V, Augustinsson, A, Auvinen, P, Freeman, LB, Beckmann, M, Behrens, S, Bermisheva, M, Bodelon, C, Bogdanova, NV, Bojesen, SE, Brenner, H, Byers, H, Camp, N, Castelao, J, Chang-Claude, J, Chirlaque, M-D, Chung, W, Clarke, C, Collee, MJ, Colonna, S, Couch, F, Cox, A, Cross, SS, Czene, K, Daly, M, Devilee, P, Dork, T, Dossus, L, Eccles, DM, Eliassen, AH, Eriksson, M, Evans, G, Fasching, P, Fletcher, O, Flyger, H, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Garcia-Saenz, JA, Genkinger, J, Giles, GG, Goldberg, M, Guenel, P, Hall, P, Hamann, U, He, W, Hillemanns, P, Hollestelle, A, Hoppe, R, Hopper, J, Jakovchevska, S, Jakubowska, A, Jernstrom, H, John, E, Johnson, N, Jones, M, Vijai, J, Kaaks, R, Khusnutdinova, E, Kitahara, C, Koutros, S, Kristensen, V, Kurian, AW, Lacey, J, Lambrechts, D, Le Marchand, L, Lejbkowicz, F, Lindblom, A, Loibl, S, Lori, A, Lubinski, J, Mannermaa, A, Manoochehri, M, Mavroudis, D, Menon, U, Mulligan, A, Murphy, R, Nevelsteen, I, Newman, WG, Obi, N, O'Brien, K, Offit, K, Olshan, A, Plaseska-Karanfilska, D, Olson, J, Panico, S, Park-Simon, T-W, Patel, A, Peterlongo, P, Rack, B, Radice, P, Rennert, G, Rhenius, V, Romero, A, Saloustros, E, Sandler, D, Schmidt, MK, Schwentner, L, Shah, M, Sharma, P, Simard, J, Southey, M, Stone, J, Tapper, WJ, Taylor, J, Teras, L, Toland, AE, Troester, M, Truong, T, van der Kolk, LE, Weinberg, C, Wendt, C, Yang, XR, Zheng, W, Ziogas, A, Dunning, AM, Pharoah, P, Easton, DF, Ben-Sachar, S, Elefant, N, Shamir, R, Elkon, R, Levi, H, Carmi, S, Rosset, S, Yerushalmi, R, Zick, A, Yablonski-Peretz, T, Wang, Q, Bolla, MK, Dennis, J, Michailidou, K, Lush, M, Ahearn, T, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Arndt, V, Augustinsson, A, Auvinen, P, Freeman, LB, Beckmann, M, Behrens, S, Bermisheva, M, Bodelon, C, Bogdanova, NV, Bojesen, SE, Brenner, H, Byers, H, Camp, N, Castelao, J, Chang-Claude, J, Chirlaque, M-D, Chung, W, Clarke, C, Collee, MJ, Colonna, S, Couch, F, Cox, A, Cross, SS, Czene, K, Daly, M, Devilee, P, Dork, T, Dossus, L, Eccles, DM, Eliassen, AH, Eriksson, M, Evans, G, Fasching, P, Fletcher, O, Flyger, H, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Garcia-Saenz, JA, Genkinger, J, Giles, GG, Goldberg, M, Guenel, P, Hall, P, Hamann, U, He, W, Hillemanns, P, Hollestelle, A, Hoppe, R, Hopper, J, Jakovchevska, S, Jakubowska, A, Jernstrom, H, John, E, Johnson, N, Jones, M, Vijai, J, Kaaks, R, Khusnutdinova, E, Kitahara, C, Koutros, S, Kristensen, V, Kurian, AW, Lacey, J, Lambrechts, D, Le Marchand, L, Lejbkowicz, F, Lindblom, A, Loibl, S, Lori, A, Lubinski, J, Mannermaa, A, Manoochehri, M, Mavroudis, D, Menon, U, Mulligan, A, Murphy, R, Nevelsteen, I, Newman, WG, Obi, N, O'Brien, K, Offit, K, Olshan, A, Plaseska-Karanfilska, D, Olson, J, Panico, S, Park-Simon, T-W, Patel, A, Peterlongo, P, Rack, B, Radice, P, Rennert, G, Rhenius, V, Romero, A, Saloustros, E, Sandler, D, Schmidt, MK, Schwentner, L, Shah, M, Sharma, P, Simard, J, Southey, M, Stone, J, Tapper, WJ, Taylor, J, Teras, L, Toland, AE, Troester, M, Truong, T, van der Kolk, LE, Weinberg, C, Wendt, C, Yang, XR, Zheng, W, Ziogas, A, Dunning, AM, Pharoah, P, Easton, DF, Ben-Sachar, S, Elefant, N, Shamir, R, and Elkon, R

Abstract

BACKGROUND: Polygenic risk score (PRS), calculated based on genome-wide association studies (GWASs), can improve breast cancer (BC) risk assessment. To date, most BC GWASs have been performed in individuals of European (EUR) ancestry, and the generalisation of EUR-based PRS to other populations is a major challenge. In this study, we examined the performance of EUR-based BC PRS models in Ashkenazi Jewish (AJ) women. METHODS: We generated PRSs based on data on EUR women from the Breast Cancer Association Consortium (BCAC). We tested the performance of the PRSs in a cohort of 2161 AJ women from Israel (1437 cases and 724 controls) from BCAC (BCAC cohort from Israel (BCAC-IL)). In addition, we tested the performance of these EUR-based BC PRSs, as well as the established 313-SNP EUR BC PRS, in an independent cohort of 181 AJ women from Hadassah Medical Center (HMC) in Israel. RESULTS: In the BCAC-IL cohort, the highest OR per 1 SD was 1.56 (±0.09). The OR for AJ women at the top 10% of the PRS distribution compared with the middle quintile was 2.10 (±0.24). In the HMC cohort, the OR per 1 SD of the EUR-based PRS that performed best in the BCAC-IL cohort was 1.58±0.27. The OR per 1 SD of the commonly used 313-SNP BC PRS was 1.64 (±0.28). CONCLUSIONS: Extant EUR GWAS data can be used for generating PRSs that identify AJ women with markedly elevated risk of BC and therefore hold promise for improving BC risk assessment in AJ women.

Published
2023

16. A Likelihood Ratio Approach for Utilizing Case-Control Data in the Clinical Classification of Rare Sequence Variants: Application to BRCA1 and BRCA2

Author

Cutting, G, Zanti, M, O'Mahony, DG, Parsons, MT, Li, H, Dennis, J, Aittomakkiki, K, Andrulis, IL, Anton-Culver, H, Aronson, KJ, Augustinsson, A, Becher, H, Bojesen, SE, Bolla, MK, Brenner, H, Brown, MA, Buys, SS, Canzian, F, Caputo, SM, Castelao, JE, Chang-Claude, J, Czene, K, Daly, MB, De Nicolo, A, Devilee, P, Dork, T, Dunning, AM, Dwek, M, Eccles, DM, Engel, C, Evans, DG, Fasching, PA, Gago-Dominguez, M, Garcia-Closas, M, Garcia-Saenz, JA, Gentry-Maharaj, A, Geurts-Giele, WRR, Giles, GG, Glendon, G, Goldberg, MS, Garcia, EBG, Guendert, M, Guenel, P, Hahnen, E, Haiman, CA, Hall, P, Hamann, U, Harkness, EF, Hogervorst, FBL, Hollestelle, A, Hoppe, R, Hopper, JL, Houdayer, C, Houlston, RS, Howell, A, Investigators, A, Jakimovska, M, Jakubowska, A, Jernstrom, H, John, EM, Kaaks, R, Kitahara, CM, Koutros, S, Kraft, P, Kristensen, VN, Lacey, J, Lambrechts, D, Leone, M, Lindblom, A, Lush, M, Mannermaa, A, Manoochehri, M, Manoukian, S, Margolin, S, Martinez, ME, Menon, U, Milne, RL, Monteiro, AN, Murphy, RA, Neuhausen, SL, Nevanlinna, H, Newman, WG, Offit, K, Park, SK, James, P, Peterlongo, P, Peto, J, Plaseska-Karanfilska, D, Punie, K, Radice, P, Rashid, MU, Rennert, G, Romero, A, Rosenberg, EH, Saloustros, E, Sandler, DP, Schmidt, MK, Schmutzler, RK, Shu, X-O, Simard, J, Southey, MC, Stone, J, Stoppa-Lyonnet, D, Tamimi, RM, Tapper, WJ, Taylor, JA, Teo, SH, Teras, LR, Terry, MB, Thomassen, M, Troester, MA, Vachon, CM, Vega, A, Vreeswijk, MPG, Wang, Q, Wappenschmidt, B, Weinberg, CR, Wolk, A, Zheng, W, Feng, B, Couch, FJ, Spurdle, AB, Easton, DF, Goldgar, DE, Michailidou, K, Cutting, G, Zanti, M, O'Mahony, DG, Parsons, MT, Li, H, Dennis, J, Aittomakkiki, K, Andrulis, IL, Anton-Culver, H, Aronson, KJ, Augustinsson, A, Becher, H, Bojesen, SE, Bolla, MK, Brenner, H, Brown, MA, Buys, SS, Canzian, F, Caputo, SM, Castelao, JE, Chang-Claude, J, Czene, K, Daly, MB, De Nicolo, A, Devilee, P, Dork, T, Dunning, AM, Dwek, M, Eccles, DM, Engel, C, Evans, DG, Fasching, PA, Gago-Dominguez, M, Garcia-Closas, M, Garcia-Saenz, JA, Gentry-Maharaj, A, Geurts-Giele, WRR, Giles, GG, Glendon, G, Goldberg, MS, Garcia, EBG, Guendert, M, Guenel, P, Hahnen, E, Haiman, CA, Hall, P, Hamann, U, Harkness, EF, Hogervorst, FBL, Hollestelle, A, Hoppe, R, Hopper, JL, Houdayer, C, Houlston, RS, Howell, A, Investigators, A, Jakimovska, M, Jakubowska, A, Jernstrom, H, John, EM, Kaaks, R, Kitahara, CM, Koutros, S, Kraft, P, Kristensen, VN, Lacey, J, Lambrechts, D, Leone, M, Lindblom, A, Lush, M, Mannermaa, A, Manoochehri, M, Manoukian, S, Margolin, S, Martinez, ME, Menon, U, Milne, RL, Monteiro, AN, Murphy, RA, Neuhausen, SL, Nevanlinna, H, Newman, WG, Offit, K, Park, SK, James, P, Peterlongo, P, Peto, J, Plaseska-Karanfilska, D, Punie, K, Radice, P, Rashid, MU, Rennert, G, Romero, A, Rosenberg, EH, Saloustros, E, Sandler, DP, Schmidt, MK, Schmutzler, RK, Shu, X-O, Simard, J, Southey, MC, Stone, J, Stoppa-Lyonnet, D, Tamimi, RM, Tapper, WJ, Taylor, JA, Teo, SH, Teras, LR, Terry, MB, Thomassen, M, Troester, MA, Vachon, CM, Vega, A, Vreeswijk, MPG, Wang, Q, Wappenschmidt, B, Weinberg, CR, Wolk, A, Zheng, W, Feng, B, Couch, FJ, Spurdle, AB, Easton, DF, Goldgar, DE, and Michailidou, K

Abstract

A large number of variants identified through clinical genetic testing in disease susceptibility genes, are of uncertain significance (VUS). Following the recommendations of the American College of Medical Genetics and Genomics (ACMG) and Association for Molecular Pathology (AMP), the frequency in case-control datasets (PS4 criterion), can inform their interpretation. We present a novel case-control likelihood ratio-based method that incorporates gene-specific age-related penetrance. We demonstrate the utility of this method in the analysis of simulated and real datasets. In the analyses of simulated data, the likelihood ratio method was more powerful compared to other methods. Likelihood ratios were calculated for a case-control dataset of BRCA1 and BRCA2 variants from the Breast Cancer Association Consortium (BCAC), and compared with logistic regression results. A larger number of variants reached evidence in favor of pathogenicity, and a substantial number of variants had evidence against pathogenicity - findings that would not have been reached using other case-control analysis methods. Our novel method provides greater power to classify rare variants compared to classical case-control methods. As an initiative from the ENIGMA Analytical Working Group, we provide user-friendly scripts and pre-formatted excel calculators for implementation of the method for rare variants in BRCA1, BRCA2 and other high-risk genes with known penetrance.

Published
2023

17. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

Author

Mueller, SH, Lai, AG, Valkovskaya, M, Michailidou, K, Bolla, MK, Wang, Q, Dennis, J, Lush, M, Abu-Ful, Z, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Aronson, KJ, Augustinsson, A, Baert, T, Freeman, LEB, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bonanni, B, Brenner, H, Brucker, SY, Buys, SS, Castelao, JE, Chan, TL, Chang-Claude, J, Chanock, SJ, Choi, J-Y, Chung, WK, Colonna, S, Cornelissen, S, Couch, FJ, Czene, K, Daly, MB, Devilee, P, Dork, T, Dossus, L, Dwek, M, Eccles, DM, Ekici, AB, Eliassen, AH, Engel, C, Evans, DG, Fasching, PA, Fletcher, O, Flyger, H, Gago-Dominguez, M, Gao, Y-T, Garcia-Closas, M, Garcia-Saenz, JA, Genkinger, J, Gentry-Maharaj, A, Grassmann, F, Guenel, P, Gundert, M, Haeberle, L, Hahnen, E, Haiman, CA, Hakansson, N, Hall, P, Harkness, EF, Harrington, PA, Hartikainen, JM, Hartman, M, Hein, A, Ho, W-K, Hooning, MJ, Hoppe, R, Hopper, JL, Houlston, RS, Howell, A, Hunter, DJ, Huo, D, Investigators, A, Ito, H, Iwasaki, M, Jakubowska, A, Janni, W, John, EM, Jones, ME, Jung, A, Kaaks, R, Kang, D, Khusnutdinova, EK, Kim, S-W, Kitahara, CM, Koutros, S, Kraft, P, Kristensen, VN, Kubelka-Sabit, K, Kurian, AW, Kwong, A, Lacey, J, Lambrechts, D, Le Marchand, L, Li, J, Linet, M, Lo, W-Y, Long, J, Lophatananon, A, Mannermaa, A, Manoochehri, M, Margolin, S, Matsuo, K, Mavroudis, D, Menon, U, Muir, K, Murphy, RA, Nevanlinna, H, Newman, WG, Niederacher, D, O'Brien, KM, Obi, N, Offit, K, Olopade, O, Olshan, AF, Olsson, H, Park, SK, Patel, A, Perou, CM, Peto, J, Pharoah, PDP, Plaseska-Karanfilska, D, Presneau, N, Rack, B, Radice, P, Ramachandran, D, Rashid, MU, Rennert, G, Romero, A, Ruddy, KJ, Ruebner, M, Saloustros, E, Sandler, DP, Sawyer, EJ, Schmidt, MK, Schmutzler, RK, Schneider, MO, Scott, C, Shah, M, Sharma, P, Shen, C-Y, Shu, X-O, Simard, J, Surowy, H, Tamimi, RM, Tapper, WJ, Taylor, JA, Teo, SH, Teras, LR, Toland, AE, Tollenaar, RAEM, Torres, D, Torres-Mejia, G, Troester, MA, Truong, T, Vachon, CM, Vijai, J, Weinberg, CR, Wendt, C, Winqvist, R, Wolk, A, Wu, AH, Yamaji, T, Yang, XR, Yu, J-C, Zheng, W, Ziogas, A, Ziv, E, Dunning, AM, Easton, DF, Hemingway, H, Hamann, U, Kuchenbaecker, KB, Mueller, SH, Lai, AG, Valkovskaya, M, Michailidou, K, Bolla, MK, Wang, Q, Dennis, J, Lush, M, Abu-Ful, Z, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Aronson, KJ, Augustinsson, A, Baert, T, Freeman, LEB, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bonanni, B, Brenner, H, Brucker, SY, Buys, SS, Castelao, JE, Chan, TL, Chang-Claude, J, Chanock, SJ, Choi, J-Y, Chung, WK, Colonna, S, Cornelissen, S, Couch, FJ, Czene, K, Daly, MB, Devilee, P, Dork, T, Dossus, L, Dwek, M, Eccles, DM, Ekici, AB, Eliassen, AH, Engel, C, Evans, DG, Fasching, PA, Fletcher, O, Flyger, H, Gago-Dominguez, M, Gao, Y-T, Garcia-Closas, M, Garcia-Saenz, JA, Genkinger, J, Gentry-Maharaj, A, Grassmann, F, Guenel, P, Gundert, M, Haeberle, L, Hahnen, E, Haiman, CA, Hakansson, N, Hall, P, Harkness, EF, Harrington, PA, Hartikainen, JM, Hartman, M, Hein, A, Ho, W-K, Hooning, MJ, Hoppe, R, Hopper, JL, Houlston, RS, Howell, A, Hunter, DJ, Huo, D, Investigators, A, Ito, H, Iwasaki, M, Jakubowska, A, Janni, W, John, EM, Jones, ME, Jung, A, Kaaks, R, Kang, D, Khusnutdinova, EK, Kim, S-W, Kitahara, CM, Koutros, S, Kraft, P, Kristensen, VN, Kubelka-Sabit, K, Kurian, AW, Kwong, A, Lacey, J, Lambrechts, D, Le Marchand, L, Li, J, Linet, M, Lo, W-Y, Long, J, Lophatananon, A, Mannermaa, A, Manoochehri, M, Margolin, S, Matsuo, K, Mavroudis, D, Menon, U, Muir, K, Murphy, RA, Nevanlinna, H, Newman, WG, Niederacher, D, O'Brien, KM, Obi, N, Offit, K, Olopade, O, Olshan, AF, Olsson, H, Park, SK, Patel, A, Perou, CM, Peto, J, Pharoah, PDP, Plaseska-Karanfilska, D, Presneau, N, Rack, B, Radice, P, Ramachandran, D, Rashid, MU, Rennert, G, Romero, A, Ruddy, KJ, Ruebner, M, Saloustros, E, Sandler, DP, Sawyer, EJ, Schmidt, MK, Schmutzler, RK, Schneider, MO, Scott, C, Shah, M, Sharma, P, Shen, C-Y, Shu, X-O, Simard, J, Surowy, H, Tamimi, RM, Tapper, WJ, Taylor, JA, Teo, SH, Teras, LR, Toland, AE, Tollenaar, RAEM, Torres, D, Torres-Mejia, G, Troester, MA, Truong, T, Vachon, CM, Vijai, J, Weinberg, CR, Wendt, C, Winqvist, R, Wolk, A, Wu, AH, Yamaji, T, Yang, XR, Yu, J-C, Zheng, W, Ziogas, A, Ziv, E, Dunning, AM, Easton, DF, Hemingway, H, Hamann, U, and Kuchenbaecker, KB

Abstract

BACKGROUND: Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes. METHODS: We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes' coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry. RESULTS: In European ancestry samples, 14 genes were significantly associated (q < 0.05) with BC. Of those, two genes, FMNL3 (P = 6.11 × 10-6) and AC058822.1 (P = 1.47 × 10-4), represent new associations. High FMNL3 expression has previously been linked to poor prognosis in several other cancers. Meta-analysis of samples with diverse ancestry discovered further associations including established candidate genes ESR1 and CBLB. Furthermore, literature review and database query found further support for a biologically plausible link with cancer for genes CBLB, FMNL3, FGFR2, LSP1, MAP3K1, and SRGAP2C. CONCLUSIONS: Using extended gene-based aggregation tests including coding and regulatory variation, we report identification of plausible target genes for previously identified single-marker associations with BC as well as the discovery of novel genes implicated in BC development. Including multi ancestral cohorts in this study enabled the identification of otherwise missed disease associations as ESR1 (P = 1.31 × 10-5), demonstrating the importance of diversifying study cohorts.

Published
2023

18. Concurrent RB1 loss and BRCA-deficiency predicts enhanced immunological response and long-term survival in tubo-ovarian high-grade serous carcinoma.

Author

Saner, FAM, Takahashi, K, Budden, T, Pandey, A, Ariyaratne, D, Zwimpfer, TA, Meagher, NS, Fereday, S, Twomey, L, Pishas, KI, Hoang, T, Bolithon, A, Traficante, N, Alsop, K, Christie, EL, Kang, E-Y, Nelson, GS, Ghatage, P, Lee, C-H, Riggan, MJ, Alsop, J, Beckmann, MW, Boros, J, Brand, AH, Brooks-Wilson, A, Carney, ME, Coulson, P, Courtney-Brooks, M, Cushing-Haugen, KL, Cybulski, C, El-Bahrawy, MA, Elishaev, E, Erber, R, Gayther, SA, Gentry-Maharaj, A, Blake Gilks, C, Harnett, PR, Harris, HR, Hartmann, A, Hein, A, Hendley, J, AOCS Group, Hernandez, BY, Jakubowska, A, Jimenez-Linan, M, Jones, ME, Kaufmann, SH, Kennedy, CJ, Kluz, T, Koziak, JM, Kristjansdottir, B, Le, ND, Lener, M, Lester, J, Lubiński, J, Mateoiu, C, Orsulic, S, Ruebner, M, Schoemaker, MJ, Shah, M, Sharma, R, Sherman, ME, Shvetsov, YB, Singh, N, Rinda Soong, T, Steed, H, Sukumvanich, P, Talhouk, A, Taylor, SE, Vierkant, RA, Wang, C, Widschwendter, M, Wilkens, LR, Winham, SJ, Anglesio, MS, Berchuck, A, Brenton, JD, Campbell, I, Cook, LS, Doherty, JA, Fasching, PA, Fortner, RT, Goodman, MT, Gronwald, J, Huntsman, DG, Karlan, BY, Kelemen, LE, Menon, U, Modugno, F, Pharoah, PDP, Schildkraut, JM, Sundfeldt, K, Swerdlow, AJ, Goode, EL, DeFazio, A, Köbel, M, Ramus, SJ, Bowtell, DDL, Garsed, DW, Saner, FAM, Takahashi, K, Budden, T, Pandey, A, Ariyaratne, D, Zwimpfer, TA, Meagher, NS, Fereday, S, Twomey, L, Pishas, KI, Hoang, T, Bolithon, A, Traficante, N, Alsop, K, Christie, EL, Kang, E-Y, Nelson, GS, Ghatage, P, Lee, C-H, Riggan, MJ, Alsop, J, Beckmann, MW, Boros, J, Brand, AH, Brooks-Wilson, A, Carney, ME, Coulson, P, Courtney-Brooks, M, Cushing-Haugen, KL, Cybulski, C, El-Bahrawy, MA, Elishaev, E, Erber, R, Gayther, SA, Gentry-Maharaj, A, Blake Gilks, C, Harnett, PR, Harris, HR, Hartmann, A, Hein, A, Hendley, J, AOCS Group, Hernandez, BY, Jakubowska, A, Jimenez-Linan, M, Jones, ME, Kaufmann, SH, Kennedy, CJ, Kluz, T, Koziak, JM, Kristjansdottir, B, Le, ND, Lener, M, Lester, J, Lubiński, J, Mateoiu, C, Orsulic, S, Ruebner, M, Schoemaker, MJ, Shah, M, Sharma, R, Sherman, ME, Shvetsov, YB, Singh, N, Rinda Soong, T, Steed, H, Sukumvanich, P, Talhouk, A, Taylor, SE, Vierkant, RA, Wang, C, Widschwendter, M, Wilkens, LR, Winham, SJ, Anglesio, MS, Berchuck, A, Brenton, JD, Campbell, I, Cook, LS, Doherty, JA, Fasching, PA, Fortner, RT, Goodman, MT, Gronwald, J, Huntsman, DG, Karlan, BY, Kelemen, LE, Menon, U, Modugno, F, Pharoah, PDP, Schildkraut, JM, Sundfeldt, K, Swerdlow, AJ, Goode, EL, DeFazio, A, Köbel, M, Ramus, SJ, Bowtell, DDL, and Garsed, DW

Abstract

BACKGROUND: Somatic loss of the tumour suppressor RB1 is a common event in tubo-ovarian high-grade serous carcinoma (HGSC), which frequently co-occurs with alterations in homologous recombination DNA repair genes including BRCA1 and BRCA2 (BRCA). We examined whether tumour expression of RB1 was associated with survival across ovarian cancer histotypes (HGSC, endometrioid (ENOC), clear cell (CCOC), mucinous (MOC), low-grade serous carcinoma (LGSC)), and how co-occurrence of germline BRCA pathogenic variants and RB1 loss influences long-term survival in a large series of HGSC. PATIENTS AND METHODS: RB1 protein expression patterns were classified by immunohistochemistry in epithelial ovarian carcinomas of 7436 patients from 20 studies participating in the Ovarian Tumor Tissue Analysis consortium and assessed for associations with overall survival (OS), accounting for patient age at diagnosis and FIGO stage. We examined RB1 expression and germline BRCA status in a subset of 1134 HGSC, and related genotype to survival, tumour infiltrating CD8+ lymphocyte counts and transcriptomic subtypes. Using CRISPR-Cas9, we deleted RB1 in HGSC cell lines with and without BRCA1 mutations to model co-loss with treatment response. We also performed genomic analyses on 126 primary HGSC to explore the molecular characteristics of concurrent homologous recombination deficiency and RB1 loss. RESULTS: RB1 protein loss was most frequent in HGSC (16.4%) and was highly correlated with RB1 mRNA expression. RB1 loss was associated with longer OS in HGSC (hazard ratio [HR] 0.74, 95% confidence interval [CI] 0.66-0.83, P = 6.8 ×10-7), but with poorer prognosis in ENOC (HR 2.17, 95% CI 1.17-4.03, P = 0.0140). Germline BRCA mutations and RB1 loss co-occurred in HGSC (P < 0.0001). Patients with both RB1 loss and germline BRCA mutations had a superior OS (HR 0.38, 95% CI 0.25-0.58, P = 5.2 ×10-6) compared to patients with either alteration alone, and their median OS was three times longer than non-carr

Published
2023

19. Lifetime ovulatory years and risk of epithelial ovarian cancer: a multinational pooled analysis.

Author

Fu, Z., Brooks, M.M., Irvin, S., Jordan, S., Aben, K.K.H., Anton-Culver, H., Bandera, E.V., Beckmann, M.W., Berchuck, A., Brooks-Wilson, A., Chang-Claude, J., Cook, L.S., Cramer, D.W, Cushing-Haugen, K.L., Doherty, J.A., Ekici, A.B., Fasching, P.A., Fortner, R.T., Gayther, S.A., Gentry-Maharaj, A., Giles, G.G., Goode, E.L., Goodman, M.T., Harris, H.R., Hein, A., Kaaks, R., Kiemeney, L.A., Köbel, M., Kotsopoulos, J., Le, N.D., Lee, A.W.C., Matsuo, K., McGuire, V., McLaughlin, J.R., Menon, U., Milne, R.L., Moysich, K.B., Pearce, C.L., Pike, M.C., Qin, B., Ramus, S.J., Riggan, M.J., Rothstein, J.H., Schildkraut, J.M., Sieh, W., Sutphen, R., Terry, K.L., Thompson, P.J., Titus, L., Altena, A.M. van, White, E., Whittemore, A.S., Wu, A.H., Zheng, W., Ziogas, Argyrios, Taylor, S.E., Tang, L., Songer, T., Wentzensen, N., Webb, P.M., Risch, H.A., Modugno, F., Fu, Z., Brooks, M.M., Irvin, S., Jordan, S., Aben, K.K.H., Anton-Culver, H., Bandera, E.V., Beckmann, M.W., Berchuck, A., Brooks-Wilson, A., Chang-Claude, J., Cook, L.S., Cramer, D.W, Cushing-Haugen, K.L., Doherty, J.A., Ekici, A.B., Fasching, P.A., Fortner, R.T., Gayther, S.A., Gentry-Maharaj, A., Giles, G.G., Goode, E.L., Goodman, M.T., Harris, H.R., Hein, A., Kaaks, R., Kiemeney, L.A., Köbel, M., Kotsopoulos, J., Le, N.D., Lee, A.W.C., Matsuo, K., McGuire, V., McLaughlin, J.R., Menon, U., Milne, R.L., Moysich, K.B., Pearce, C.L., Pike, M.C., Qin, B., Ramus, S.J., Riggan, M.J., Rothstein, J.H., Schildkraut, J.M., Sieh, W., Sutphen, R., Terry, K.L., Thompson, P.J., Titus, L., Altena, A.M. van, White, E., Whittemore, A.S., Wu, A.H., Zheng, W., Ziogas, Argyrios, Taylor, S.E., Tang, L., Songer, T., Wentzensen, N., Webb, P.M., Risch, H.A., and Modugno, F.

Abstract

Item does not contain fulltext, BACKGROUND: The role of ovulation in epithelial ovarian cancer (EOC) is supported by the consistent protective effects of parity and oral contraceptive use. Whether these factors protect through anovulation alone remains unclear. We explored the association between lifetime ovulatory years (LOY) and EOC. METHODS: LOY was calculated using 12 algorithms. Odds ratios (ORs) and 95% confidence intervals (CIs) estimated the association between LOY or LOY components and EOC among 26 204 control participants and 21 267 case patients from 25 studies. To assess whether LOY components act through ovulation suppression alone, we compared beta coefficients obtained from regression models with expected estimates assuming 1 year of ovulation suppression has the same effect regardless of source. RESULTS: LOY was associated with increased EOC risk (OR per year increase = 1.014, 95% CI = 1.009 to 1.020 to OR per year increase = 1.044, 95% CI = 1.041 to 1.048). Individual LOY components, except age at menarche, also associated with EOC. The estimated model coefficient for oral contraceptive use and pregnancies were 4.45 times and 12- to 15-fold greater than expected, respectively. LOY was associated with high-grade serous, low-grade serous, endometrioid, and clear cell histotypes (ORs per year increase = 1.054, 1.040, 1.065, and 1.098, respectively) but not mucinous tumors. Estimated coefficients of LOY components were close to expected estimates for high-grade serous but larger than expected for low-grade serous, endometrioid, and clear cell histotypes. CONCLUSIONS: LOY is positively associated with nonmucinous EOC. Differences between estimated and expected model coefficients for LOY components suggest factors beyond ovulation underlie the associations between LOY components and EOC in general and for non-HGSOC.

Published
2023

20. CCNE1 and survival of patients with tubo-ovarian high-grade serous carcinoma: An Ovarian Tumor Tissue Analysis consortium study

Author

Kang, E-Y, Weir, A, Meagher, NS, Farrington, K, Nelson, GS, Ghatage, P, Lee, C-H, Riggan, MJ, Bolithon, A, Popovic, G, Leung, B, Tang, K, Lambie, N, Millstein, J, Alsop, J, Anglesio, MS, Ataseven, B, Barlow, E, Beckmann, MW, Berger, J, Bisinotto, C, Boesmueller, H, Boros, J, Brand, AH, Brooks-Wilson, A, Brucker, SY, Carney, ME, Casablanca, Y, Cazorla-Jimenez, A, Cohen, PA, Conrads, TP, Cook, LS, Coulson, P, Courtney-Brooks, M, Cramer, DW, Crowe, P, Cunningham, JM, Cybulski, C, Darcy, KM, El-Bahrawy, MA, Elishaev, E, Erber, R, Farrell, R, Fereday, S, Fischer, A, Garcia, MJ, Gayther, SA, Gentry-Maharaj, A, Gilks, CB, Grube, M, Harnett, PR, Harrington, SP, Harter, P, Hartmann, A, Hecht, JL, Heikaus, S, Hein, A, Heitz, F, Hendley, J, Hernandez, BY, Hernando Polo, S, Heublein, S, Hirasawa, A, Hogdall, E, Hogdall, CK, Horlings, HM, Huntsman, DG, Huzarski, T, Jewell, A, Jimenez-Linan, M, Jones, ME, Kaufmann, SH, Kennedy, CJ, Khabele, D, Kommoss, FKF, Kruitwagen, RFPM, Lambrechts, D, Le, ND, Lener, M, Lester, J, Leung, Y, Linder, A, Loverix, L, Lubinski, J, Madan, R, Maxwell, GL, Modugno, F, Neuhausen, SL, Olawaiye, A, Olbrecht, S, Orsulic, S, Palacios, J, Pearce, CL, Pike, MC, Quinn, CM, Mohan, GR, Rodriguez-Antona, C, Ruebner, M, Ryan, A, Salfinger, SG, Sasamoto, N, Schildkraut, JM, Schoemaker, MJ, Shah, M, Sharma, R, Shvetsov, YB, Singh, N, Sonke, GS, Steele, L, Stewart, CJR, Sundfeldt, K, Swerdlow, AJ, Talhouk, A, Tan, A, Taylor, SE, Terry, KL, Toloczko, A, Traficante, N, Van de Vijver, KK, van der Aa, MA, Van Gorp, T, Van Nieuwenhuysen, E, Van-Wagensveld, L, Vergote, I, Vierkant, RA, Wang, C, Wilkens, LR, Winham, SJ, Wu, AH, Benitez, J, Berchuck, A, Candido Dos Reis, FJ, DeFazio, A, Fasching, PA, Goode, EL, Goodman, MT, Gronwald, J, Karlan, BY, Kommoss, S, Menon, U, Sinn, H-P, Staebler, A, Brenton, JD, Bowtell, DD, Pharoah, PDP, Ramus, SJ, Kobel, M, Kang, E-Y, Weir, A, Meagher, NS, Farrington, K, Nelson, GS, Ghatage, P, Lee, C-H, Riggan, MJ, Bolithon, A, Popovic, G, Leung, B, Tang, K, Lambie, N, Millstein, J, Alsop, J, Anglesio, MS, Ataseven, B, Barlow, E, Beckmann, MW, Berger, J, Bisinotto, C, Boesmueller, H, Boros, J, Brand, AH, Brooks-Wilson, A, Brucker, SY, Carney, ME, Casablanca, Y, Cazorla-Jimenez, A, Cohen, PA, Conrads, TP, Cook, LS, Coulson, P, Courtney-Brooks, M, Cramer, DW, Crowe, P, Cunningham, JM, Cybulski, C, Darcy, KM, El-Bahrawy, MA, Elishaev, E, Erber, R, Farrell, R, Fereday, S, Fischer, A, Garcia, MJ, Gayther, SA, Gentry-Maharaj, A, Gilks, CB, Grube, M, Harnett, PR, Harrington, SP, Harter, P, Hartmann, A, Hecht, JL, Heikaus, S, Hein, A, Heitz, F, Hendley, J, Hernandez, BY, Hernando Polo, S, Heublein, S, Hirasawa, A, Hogdall, E, Hogdall, CK, Horlings, HM, Huntsman, DG, Huzarski, T, Jewell, A, Jimenez-Linan, M, Jones, ME, Kaufmann, SH, Kennedy, CJ, Khabele, D, Kommoss, FKF, Kruitwagen, RFPM, Lambrechts, D, Le, ND, Lener, M, Lester, J, Leung, Y, Linder, A, Loverix, L, Lubinski, J, Madan, R, Maxwell, GL, Modugno, F, Neuhausen, SL, Olawaiye, A, Olbrecht, S, Orsulic, S, Palacios, J, Pearce, CL, Pike, MC, Quinn, CM, Mohan, GR, Rodriguez-Antona, C, Ruebner, M, Ryan, A, Salfinger, SG, Sasamoto, N, Schildkraut, JM, Schoemaker, MJ, Shah, M, Sharma, R, Shvetsov, YB, Singh, N, Sonke, GS, Steele, L, Stewart, CJR, Sundfeldt, K, Swerdlow, AJ, Talhouk, A, Tan, A, Taylor, SE, Terry, KL, Toloczko, A, Traficante, N, Van de Vijver, KK, van der Aa, MA, Van Gorp, T, Van Nieuwenhuysen, E, Van-Wagensveld, L, Vergote, I, Vierkant, RA, Wang, C, Wilkens, LR, Winham, SJ, Wu, AH, Benitez, J, Berchuck, A, Candido Dos Reis, FJ, DeFazio, A, Fasching, PA, Goode, EL, Goodman, MT, Gronwald, J, Karlan, BY, Kommoss, S, Menon, U, Sinn, H-P, Staebler, A, Brenton, JD, Bowtell, DD, Pharoah, PDP, Ramus, SJ, and Kobel, M

Abstract

BACKGROUND: Cyclin E1 (CCNE1) is a potential predictive marker and therapeutic target in tubo-ovarian high-grade serous carcinoma (HGSC). Smaller studies have revealed unfavorable associations for CCNE1 amplification and CCNE1 overexpression with survival, but to date no large-scale, histotype-specific validation has been performed. The hypothesis was that high-level amplification of CCNE1 and CCNE1 overexpression, as well as a combination of the two, are linked to shorter overall survival in HGSC. METHODS: Within the Ovarian Tumor Tissue Analysis consortium, amplification status and protein level in 3029 HGSC cases and mRNA expression in 2419 samples were investigated. RESULTS: High-level amplification (>8 copies by chromogenic in situ hybridization) was found in 8.6% of HGSC and overexpression (>60% with at least 5% demonstrating strong intensity by immunohistochemistry) was found in 22.4%. CCNE1 high-level amplification and overexpression both were linked to shorter overall survival in multivariate survival analysis adjusted for age and stage, with hazard stratification by study (hazard ratio [HR], 1.26; 95% CI, 1.08-1.47, p = .034, and HR, 1.18; 95% CI, 1.05-1.32, p = .015, respectively). This was also true for cases with combined high-level amplification/overexpression (HR, 1.26; 95% CI, 1.09-1.47, p = .033). CCNE1 mRNA expression was not associated with overall survival (HR, 1.00 per 1-SD increase; 95% CI, 0.94-1.06; p = .58). CCNE1 high-level amplification is mutually exclusive with the presence of germline BRCA1/2 pathogenic variants and shows an inverse association to RB1 loss. CONCLUSION: This study provides large-scale validation that CCNE1 high-level amplification is associated with shorter survival, supporting its utility as a prognostic biomarker in HGSC.

Published
2023

21. Lifetime ovulatory years and risk of epithelial ovarian cancer: a multinational pooled analysis

Author

Fu, Z, Brooks, MM, Irvin, S, Jordan, S, Aben, KKH, Anton-Culver, H, Bandera, E, Beckmann, MW, Berchuck, A, Brooks-Wilson, A, Chang-Claude, J, Cook, LS, Cramer, DW, Cushing-Haugen, KL, Doherty, JA, Ekici, AB, Fasching, PA, Fortner, RT, Gayther, SA, Gentry-Maharaj, A, Giles, GG, Goode, EL, Goodman, MT, Harris, HR, Hein, A, Kaaks, R, Kiemeney, LA, Koebel, M, Kotsopoulos, J, Le, ND, Lee, AW, Matsuo, K, McGuire, V, McLaughlin, JR, Menon, U, Milne, RL, Moysich, KB, Pearce, CL, Pike, MC, Qin, B, Ramus, SJ, Riggan, MJ, Rothstein, JH, Schildkraut, JM, Sieh, W, Sutphen, R, Terry, KL, Thompson, PJ, Titus, L, van Altena, AM, White, E, Whittemore, AS, Wu, AH, Zheng, W, Ziogas, A, Taylor, SE, Tang, L, Songer, T, Wentzensen, N, Webb, PM, Risch, HA, Modugno, F, Fu, Z, Brooks, MM, Irvin, S, Jordan, S, Aben, KKH, Anton-Culver, H, Bandera, E, Beckmann, MW, Berchuck, A, Brooks-Wilson, A, Chang-Claude, J, Cook, LS, Cramer, DW, Cushing-Haugen, KL, Doherty, JA, Ekici, AB, Fasching, PA, Fortner, RT, Gayther, SA, Gentry-Maharaj, A, Giles, GG, Goode, EL, Goodman, MT, Harris, HR, Hein, A, Kaaks, R, Kiemeney, LA, Koebel, M, Kotsopoulos, J, Le, ND, Lee, AW, Matsuo, K, McGuire, V, McLaughlin, JR, Menon, U, Milne, RL, Moysich, KB, Pearce, CL, Pike, MC, Qin, B, Ramus, SJ, Riggan, MJ, Rothstein, JH, Schildkraut, JM, Sieh, W, Sutphen, R, Terry, KL, Thompson, PJ, Titus, L, van Altena, AM, White, E, Whittemore, AS, Wu, AH, Zheng, W, Ziogas, A, Taylor, SE, Tang, L, Songer, T, Wentzensen, N, Webb, PM, Risch, HA, and Modugno, F

Abstract

BACKGROUND: The role of ovulation in epithelial ovarian cancer (EOC) is supported by the consistent protective effects of parity and oral contraceptive use. Whether these factors protect through anovulation alone remains unclear. We explored the association between lifetime ovulatory years (LOY) and EOC. METHODS: LOY was calculated using 12 algorithms. Odds ratios (ORs) and 95% confidence intervals (CIs) estimated the association between LOY or LOY components and EOC among 26 204 control participants and 21 267 case patients from 25 studies. To assess whether LOY components act through ovulation suppression alone, we compared beta coefficients obtained from regression models with expected estimates assuming 1 year of ovulation suppression has the same effect regardless of source. RESULTS: LOY was associated with increased EOC risk (OR per year increase = 1.014, 95% CI = 1.009 to 1.020 to OR per year increase = 1.044, 95% CI = 1.041 to 1.048). Individual LOY components, except age at menarche, also associated with EOC. The estimated model coefficient for oral contraceptive use and pregnancies were 4.45 times and 12- to 15-fold greater than expected, respectively. LOY was associated with high-grade serous, low-grade serous, endometrioid, and clear cell histotypes (ORs per year increase = 1.054, 1.040, 1.065, and 1.098, respectively) but not mucinous tumors. Estimated coefficients of LOY components were close to expected estimates for high-grade serous but larger than expected for low-grade serous, endometrioid, and clear cell histotypes. CONCLUSIONS: LOY is positively associated with nonmucinous EOC. Differences between estimated and expected model coefficients for LOY components suggest factors beyond ovulation underlie the associations between LOY components and EOC in general and for non-HGSOC.

Published
2023

22. Increased FOXJ1 protein expression is associated with improved overall survival in high-grade serous ovarian carcinoma: an Ovarian Tumor Tissue Analysis Consortium Study

Author

Weir, A, Kang, E-Y, Meagher, NS, Nelson, GS, Ghatage, P, Lee, C-H, Riggan, MJ, Gentry-Maharaj, A, Ryan, A, Singh, N, Widschwendter, M, Alsop, J, Anglesio, MS, Beckmann, MW, Berger, J, Bisinotto, C, Boros, J, Brand, AH, Brenton, JD, Brooks-Wilson, A, Carney, ME, Cunningham, JM, Cushing-Haugen, KL, Cybulski, C, Elishaev, E, Erber, R, Fereday, S, Fischer, A, Paz-Ares, L, Gayarre, J, Gilks, BC, Grube, M, Harnett, PR, Harris, HR, Hartmann, A, Hein, A, Hendley, J, Hernandez, BY, Heublein, S, Huang, Y, Huzarski, T, Jakubowska, A, Jimenez-Linan, M, Kennedy, CJ, Kommoss, FKF, Koziak, JM, Kraemer, B, Le, ND, Lesnock, J, Lester, J, Lubinski, J, Menkiszak, J, Ney, B, Olawaiye, A, Orsulic, S, Osorio, A, Robles-Diaz, L, Ruebner, M, Shah, M, Sharma, R, Shvetsov, YB, Steed, H, Talhouk, A, Taylor, SE, Traficante, N, Vierkant, RA, Wang, C, Wilkens, LR, Winham, SJ, Benitez, J, Berchuck, A, Bowtell, DD, Candido dos Reis, FJ, Cook, LS, DeFazio, A, Doherty, JA, Fasching, PA, Garcia, MJ, Goode, EL, Goodman, MT, Gronwald, J, Huntsman, DG, Karlan, BY, Kommoss, S, Modugno, F, Schildkraut, JM, Sinn, H-P, Staebler, A, Kelemen, LE, Ford, CE, Menon, U, Pharoah, PDP, Koebel, M, Ramus, SJ, Bowtell, D, Brand, A, Harnett, P, Weir, A, Kang, E-Y, Meagher, NS, Nelson, GS, Ghatage, P, Lee, C-H, Riggan, MJ, Gentry-Maharaj, A, Ryan, A, Singh, N, Widschwendter, M, Alsop, J, Anglesio, MS, Beckmann, MW, Berger, J, Bisinotto, C, Boros, J, Brand, AH, Brenton, JD, Brooks-Wilson, A, Carney, ME, Cunningham, JM, Cushing-Haugen, KL, Cybulski, C, Elishaev, E, Erber, R, Fereday, S, Fischer, A, Paz-Ares, L, Gayarre, J, Gilks, BC, Grube, M, Harnett, PR, Harris, HR, Hartmann, A, Hein, A, Hendley, J, Hernandez, BY, Heublein, S, Huang, Y, Huzarski, T, Jakubowska, A, Jimenez-Linan, M, Kennedy, CJ, Kommoss, FKF, Koziak, JM, Kraemer, B, Le, ND, Lesnock, J, Lester, J, Lubinski, J, Menkiszak, J, Ney, B, Olawaiye, A, Orsulic, S, Osorio, A, Robles-Diaz, L, Ruebner, M, Shah, M, Sharma, R, Shvetsov, YB, Steed, H, Talhouk, A, Taylor, SE, Traficante, N, Vierkant, RA, Wang, C, Wilkens, LR, Winham, SJ, Benitez, J, Berchuck, A, Bowtell, DD, Candido dos Reis, FJ, Cook, LS, DeFazio, A, Doherty, JA, Fasching, PA, Garcia, MJ, Goode, EL, Goodman, MT, Gronwald, J, Huntsman, DG, Karlan, BY, Kommoss, S, Modugno, F, Schildkraut, JM, Sinn, H-P, Staebler, A, Kelemen, LE, Ford, CE, Menon, U, Pharoah, PDP, Koebel, M, Ramus, SJ, Bowtell, D, Brand, A, and Harnett, P

Abstract

BACKGROUND: Recently, we showed a >60% difference in 5-year survival for patients with tubo-ovarian high-grade serous carcinoma (HGSC) when stratified by a 101-gene mRNA expression prognostic signature. Given the varied patient outcomes, this study aimed to translate prognostic mRNA markers into protein expression assays by immunohistochemistry and validate their survival association in HGSC. METHODS: Two prognostic genes, FOXJ1 and GMNN, were selected based on high-quality antibodies, correlation with protein expression and variation in immunohistochemical scores in a preliminary cohort (n = 134 and n = 80, respectively). Six thousand four hundred and thirty-four (FOXJ1) and 5470 (GMNN) formalin-fixed, paraffin-embedded ovarian neoplasms (4634 and 4185 HGSC, respectively) represented on tissue microarrays from the Ovarian Tumor Tissue Analysis consortium underwent immunohistochemical staining and scoring, then univariate and multivariate survival analysis. RESULTS: Consistent with mRNA, FOXJ1 protein expression exhibited a linear, increasing association with improved overall survival in HGSC patients. Women with >50% expression had the most favourable outcomes (HR = 0.78, 95% CI 0.67-0.91, p < 0.0001). GMNN protein expression was not significantly associated with overall HSGC patient survival. However, HGSCs with >35% GMNN expression showed a trend for better outcomes, though this was not significant. CONCLUSION: We provide foundational evidence for the prognostic value of FOXJ1 in HGSC, validating the prior mRNA-based prognostic association by immunohistochemistry.

Published
2023

23. Profiling the immune landscape in mucinous ovarian carcinoma

Author

Meagher, NS, Hamilton, P, Milne, K, Thornton, S, Harris, B, Weir, A, Alsop, J, Bisinoto, C, Brenton, JD, Brooks-Wilsoni, A, Chiu, DS, Cushing-Haugen, KL, Fereday, S, Garsed, DW, Gayther, SA, Gentry-Maharaj, A, Gilks, B, Jimenez-Linan, M, Kennedy, CJ, Le, ND, Piskorz, AM, Riggan, MJ, Shah, M, Singh, N, Talhoukj, A, Widschwendter, M, Bowtell, DDL, dos Reis, FJC, Cook, LS, Fortner, RT, Garcia, MJ, Harris, HR, Huntsman, DG, Karnezis, AN, Kobel, M, Menon, U, Pharoah, PDP, Doherty, JA, Anglesioj, MS, Pike, MC, Pearce, CL, Friedlander, ML, DeFazio, A, Nelson, BH, Ramus, SJ, Meagher, NS, Hamilton, P, Milne, K, Thornton, S, Harris, B, Weir, A, Alsop, J, Bisinoto, C, Brenton, JD, Brooks-Wilsoni, A, Chiu, DS, Cushing-Haugen, KL, Fereday, S, Garsed, DW, Gayther, SA, Gentry-Maharaj, A, Gilks, B, Jimenez-Linan, M, Kennedy, CJ, Le, ND, Piskorz, AM, Riggan, MJ, Shah, M, Singh, N, Talhoukj, A, Widschwendter, M, Bowtell, DDL, dos Reis, FJC, Cook, LS, Fortner, RT, Garcia, MJ, Harris, HR, Huntsman, DG, Karnezis, AN, Kobel, M, Menon, U, Pharoah, PDP, Doherty, JA, Anglesioj, MS, Pike, MC, Pearce, CL, Friedlander, ML, DeFazio, A, Nelson, BH, and Ramus, SJ

Abstract

OBJECTIVE: Mucinous ovarian carcinoma (MOC) is a rare histotype of ovarian cancer, with low response rates to standard chemotherapy, and very poor survival for patients diagnosed at advanced stage. There is a limited understanding of the MOC immune landscape, and consequently whether immune checkpoint inhibitors could be considered for a subset of patients. METHODS: We performed multicolor immunohistochemistry (IHC) and immunofluorescence (IF) on tissue microarrays in a cohort of 126 MOC patients. Cell densities were calculated in the epithelial and stromal components for tumor-associated macrophages (CD68+/PD-L1+, CD68+/PD-L1-), T cells (CD3+/CD8-, CD3+/CD8+), putative T-regulatory cells (Tregs, FOXP3+), B cells (CD20+/CD79A+), plasma cells (CD20-/CD79a+), and PD-L1+ and PD-1+ cells, and compared these values with clinical factors. Univariate and multivariable Cox Proportional Hazards assessed overall survival. Unsupervised k-means clustering identified patient subsets with common patterns of immune cell infiltration. RESULTS: Mean densities of PD1+ cells, PD-L1- macrophages, CD4+ and CD8+ T cells, and FOXP3+ Tregs were higher in the stroma compared to the epithelium. Tumors from advanced (Stage III/IV) MOC had greater epithelial infiltration of PD-L1- macrophages, and fewer PD-L1+ macrophages compared with Stage I/II cancers (p = 0.004 and p = 0.014 respectively). Patients with high epithelial density of FOXP3+ cells, CD8+/FOXP3+ cells, or PD-L1- macrophages, had poorer survival, and high epithelial CD79a + plasma cells conferred better survival, all upon univariate analysis only. Clustering showed that most MOC (86%) had an immune depleted (cold) phenotype, with only a small proportion (11/76,14%) considered immune inflamed (hot) based on T cell and PD-L1 infiltrates. CONCLUSION: In summary, MOCs are mostly immunogenically 'cold', suggesting they may have limited response to current immunotherapies.

Published
2023

24. p53 and ovarian carcinoma survival: an Ovarian Tumor Tissue Analysis consortium study

Author

Kobel, M, Kang, E-Y, Weir, A, Rambau, PF, Lee, C-H, Nelson, GS, Ghatage, P, Meagher, NS, Riggan, MJ, Alsop, J, Anglesio, MS, Beckmann, MW, Bisinotto, C, Boisen, M, Boros, J, Brand, AH, Brooks-Wilson, A, Carney, ME, Coulson, P, Courtney-Brooks, M, Cushing-Haugen, KL, Cybulski, C, Deen, S, El-Bahrawy, MA, Elishaev, E, Erber, R, Fereday, S, Fischer, A, Gayther, SA, Barquin-Garcia, A, Gentry-Maharaj, A, Gilks, CB, Gronwald, H, Grube, M, Harnett, PR, Harris, HR, Hartkopf, AD, Hartmann, A, Hein, A, Hendley, J, Hernandez, BY, Huang, Y, Jakubowska, A, Jimenez-Linan, M, Jones, ME, Kennedy, CJ, Kluz, T, Koziak, JM, Lesnock, J, Lester, J, Lubinski, J, Longacre, TA, Lycke, M, Mateoiu, C, McCauley, BM, McGuire, V, Ney, B, Olawaiye, A, Orsulic, S, Osorio, A, Paz-Ares, L, Ramon Y Cajal, T, Rothstein, JH, Ruebner, M, Schoemaker, MJ, Shah, M, Sharma, R, Sherman, ME, Shvetsov, YB, Singh, N, Steed, H, Storr, SJ, Talhouk, A, Traficante, N, Wang, C, Whittemore, AS, Widschwendter, M, Wilkens, LR, Winham, SJ, Benitez, J, Berchuck, A, Bowtell, DD, Candido dos Reis, FJ, Campbell, I, Cook, LS, DeFazio, A, Doherty, JA, Fasching, PA, Fortner, RT, Garcia, MJ, Goodman, MT, Goode, EL, Gronwald, J, Huntsman, DG, Karlan, BY, Kelemen, LE, Kommoss, S, Le, ND, Martin, SG, Menon, U, Modugno, F, Pharoah, PDP, Schildkraut, JM, Sieh, W, Staebler, A, Sundfeldt, K, Swerdlow, AJ, Ramus, SJ, Brenton, JD, Kobel, M, Kang, E-Y, Weir, A, Rambau, PF, Lee, C-H, Nelson, GS, Ghatage, P, Meagher, NS, Riggan, MJ, Alsop, J, Anglesio, MS, Beckmann, MW, Bisinotto, C, Boisen, M, Boros, J, Brand, AH, Brooks-Wilson, A, Carney, ME, Coulson, P, Courtney-Brooks, M, Cushing-Haugen, KL, Cybulski, C, Deen, S, El-Bahrawy, MA, Elishaev, E, Erber, R, Fereday, S, Fischer, A, Gayther, SA, Barquin-Garcia, A, Gentry-Maharaj, A, Gilks, CB, Gronwald, H, Grube, M, Harnett, PR, Harris, HR, Hartkopf, AD, Hartmann, A, Hein, A, Hendley, J, Hernandez, BY, Huang, Y, Jakubowska, A, Jimenez-Linan, M, Jones, ME, Kennedy, CJ, Kluz, T, Koziak, JM, Lesnock, J, Lester, J, Lubinski, J, Longacre, TA, Lycke, M, Mateoiu, C, McCauley, BM, McGuire, V, Ney, B, Olawaiye, A, Orsulic, S, Osorio, A, Paz-Ares, L, Ramon Y Cajal, T, Rothstein, JH, Ruebner, M, Schoemaker, MJ, Shah, M, Sharma, R, Sherman, ME, Shvetsov, YB, Singh, N, Steed, H, Storr, SJ, Talhouk, A, Traficante, N, Wang, C, Whittemore, AS, Widschwendter, M, Wilkens, LR, Winham, SJ, Benitez, J, Berchuck, A, Bowtell, DD, Candido dos Reis, FJ, Campbell, I, Cook, LS, DeFazio, A, Doherty, JA, Fasching, PA, Fortner, RT, Garcia, MJ, Goodman, MT, Goode, EL, Gronwald, J, Huntsman, DG, Karlan, BY, Kelemen, LE, Kommoss, S, Le, ND, Martin, SG, Menon, U, Modugno, F, Pharoah, PDP, Schildkraut, JM, Sieh, W, Staebler, A, Sundfeldt, K, Swerdlow, AJ, Ramus, SJ, and Brenton, JD

Abstract

Our objective was to test whether p53 expression status is associated with survival for women diagnosed with the most common ovarian carcinoma histotypes (high-grade serous carcinoma [HGSC], endometrioid carcinoma [EC], and clear cell carcinoma [CCC]) using a large multi-institutional cohort from the Ovarian Tumor Tissue Analysis (OTTA) consortium. p53 expression was assessed on 6,678 cases represented on tissue microarrays from 25 participating OTTA study sites using a previously validated immunohistochemical (IHC) assay as a surrogate for the presence and functional effect of TP53 mutations. Three abnormal expression patterns (overexpression, complete absence, and cytoplasmic) and the normal (wild type) pattern were recorded. Survival analyses were performed by histotype. The frequency of abnormal p53 expression was 93.4% (4,630/4,957) in HGSC compared to 11.9% (116/973) in EC and 11.5% (86/748) in CCC. In HGSC, there were no differences in overall survival across the abnormal p53 expression patterns. However, in EC and CCC, abnormal p53 expression was associated with an increased risk of death for women diagnosed with EC in multivariate analysis compared to normal p53 as the reference (hazard ratio [HR] = 2.18, 95% confidence interval [CI] 1.36-3.47, p = 0.0011) and with CCC (HR = 1.57, 95% CI 1.11-2.22, p = 0.012). Abnormal p53 was also associated with shorter overall survival in The International Federation of Gynecology and Obstetrics stage I/II EC and CCC. Our study provides further evidence that functional groups of TP53 mutations assessed by abnormal surrogate p53 IHC patterns are not associated with survival in HGSC. In contrast, we validate that abnormal p53 IHC is a strong independent prognostic marker for EC and demonstrate for the first time an independent prognostic association of abnormal p53 IHC with overall survival in patients with CCC.

Published
2023

25. Care after premenopausal risk-reducing salpingo-oophorectomy in high-risk women: Scoping review and international consensus recommendations.

Author

Nebgen, D.R., Domchek, S.M., Kotsopoulos, J., de Hullu, J.A., Crosbie, E.J., Paramanandam, V.S., Brood-van Zanten, M.M.A., Norquist, B.M., Guise, T., Rozenberg, S., Kurian, A.W., Pederson, H.J., Yuksel, N., Michaelson-Cohen, R., Bober, S.L., Silva Filho, A.L. da, Johansen, N., Guidozzi, F., Evans, D.G., Menon, U., Kingsberg, S.A., Powell, C.B., Grandi, G., Marchetti, C., Jacobson, M., Brennan, D.J., Hickey, M., Nebgen, D.R., Domchek, S.M., Kotsopoulos, J., de Hullu, J.A., Crosbie, E.J., Paramanandam, V.S., Brood-van Zanten, M.M.A., Norquist, B.M., Guise, T., Rozenberg, S., Kurian, A.W., Pederson, H.J., Yuksel, N., Michaelson-Cohen, R., Bober, S.L., Silva Filho, A.L. da, Johansen, N., Guidozzi, F., Evans, D.G., Menon, U., Kingsberg, S.A., Powell, C.B., Grandi, G., Marchetti, C., Jacobson, M., Brennan, D.J., and Hickey, M.

Abstract

Contains fulltext : 299856.pdf (Publisher’s version ) (Open Access), Women at high inherited risk of ovarian cancer are offered risk-reducing salpingo-oophorectomy (RRSO) from age 35 to 45 years. Although potentially life-saving, RRSO may induce symptoms that negatively affect quality of life and impair long-term health. Clinical care following RRSO is often suboptimal. This scoping review describes how RRSO affects short- and long-term health and provides evidence-based international consensus recommendations for care from preoperative counselling to long-term disease prevention. This includes the efficacy and safety of hormonal and non-hormonal treatments for vasomotor symptoms, sleep disturbance and sexual dysfunction and effective approaches to prevent bone and cardiovascular disease., 01 november 2023

Published
2023

26. Care after premenopausal risk-reducing salpingo-oophorectomy in high-risk women: Scoping review and international consensus recommendations

Author

Nebgen, D. R., Domchek, S. M., Kotsopoulos, J., de Hullu, J. A., Crosbie, E. J., Paramanandam, V. S., van Zanten, M. B., Norquist, B. M., Guise, T., Rozenberg, S., Kurian, A. W., Pederson, H. J., Yuksel, N., Michaelson-Cohen, R., Bober, S. L., da SilvaFilho, A. L., Johansen, N., Guidozzi, F., Evans, D. G., Menon, U., Kingsberg, S. A., Powell, C. B., Grandi, G., Marchetti, Claudia, Jacobson, M., Brennan, D. J., Hickey, M., Marchetti C. (ORCID:0000-0001-7098-8956), Nebgen, D. R., Domchek, S. M., Kotsopoulos, J., de Hullu, J. A., Crosbie, E. J., Paramanandam, V. S., van Zanten, M. B., Norquist, B. M., Guise, T., Rozenberg, S., Kurian, A. W., Pederson, H. J., Yuksel, N., Michaelson-Cohen, R., Bober, S. L., da SilvaFilho, A. L., Johansen, N., Guidozzi, F., Evans, D. G., Menon, U., Kingsberg, S. A., Powell, C. B., Grandi, G., Marchetti, Claudia, Jacobson, M., Brennan, D. J., Hickey, M., and Marchetti C. (ORCID:0000-0001-7098-8956)

Abstract

Women at high inherited risk of ovarian cancer are offered risk-reducing salpingo-oophorectomy (RRSO) from age 35 to 45 years. Although potentially life-saving, RRSO may induce symptoms that negatively affect quality of life and impair long-term health. Clinical care following RRSO is often suboptimal. This scoping review describes how RRSO affects short- and long-term health and provides evidence-based international consensus recommendations for care from preoperative counselling to long-term disease prevention. This includes the efficacy and safety of hormonal and non-hormonal treatments for vasomotor symptoms, sleep disturbance and sexual dysfunction and effective approaches to prevent bone and cardiovascular disease.

Published
2023

36. Cross-Cancer Genome-Wide Association Study of Endometrial Cancer and Epithelial Ovarian Cancer Identifies Genetic Risk Regions Associated with Risk of Both Cancers.

Author

Glubb D.M., Thompson D.J., Aben K.K.H., Alsulimani A., Amant F., Annibali D., Attia J., Barricarte A., Beckmann M.W., Berchuck A., Bermisheva M., Bernardini M.Q., Bischof K., Bjorge L., Bodelon C., Brand A.H., Brenton J.D., Brinton L.A., Bruinsma F., Buchanan D.D., Burghaus S., Butzow R., Cai H., Carney M.E., Chanock S.J., Chen C., Chen X.Q., Chen Z., Cook L.S., Cunningham J.M., De Vivo I., deFazio A., Doherty J.A., Dork T., du Bois A., Dunning A.M., Durst M., Edwards T., Edwards R.P., Ekici A.B., Ewing A., Fasching P.A., Ferguson S., Flanagan J.M., Fostira F., Fountzilas G., Friedenreich C.M., Gao B., Gaudet M.M., Gawelko J., Gentry-Maharaj A., Giles G.G., Glasspool R., Goodman M.T., Gronwald J., Harris H.R., Harter P., Hein A., Heitz F., Hildebrandt M.A.T., Hillemanns P., Hogdall E., Hogdall C.K., Holliday E.G., Huntsman D.G., Huzarski T., Jakubowska A., Jensen A., Jones M.E., Karlan B.Y., Karnezis A., Kelley J.L., Khusnutdinova E., Killeen J.L., Kjaer S.K., Klapdor R., Kobel M., Konopka B., Konstantopoulou I., Kopperud R.K., Koti M., Kraft P., Kupryjanczyk J., Lambrechts D., Larson M.C., Le Marchand L., Lele S., Lester J., Li A.J., Liang D., Liebrich C., Lipworth L., Lissowska J., Lu L., Lu K.H., Macciotta A., Mattiello A., May T., McAlpine J.N., McGuire V., McNeish I.A., Menon U., Modugno F., Moysich K.B., Nevanlinna H., Odunsi K., Olsson H., Orsulic S., Osorio A., Palli D., Park-Simon T.-W., Pearce C.L., Pejovic T., Permuth J.B., Podgorska A., Ramus S.J., Rebbeck T.R., Riggan M.J., Risch H.A., Rothstein J.H., Runnebaum I.B., Scott R.J., Sellers T.A., Senz J., Setiawan V.W., Siddiqui N., Sieh W., Spiewankiewicz B., Sutphen R., Swerdlow A.J., Szafron L.M., Teo S.H., Thompson P.J., Thomsen L.C.V., Titus L., Tone A., Tumino R., Turman C., Vanderstichele A., Edwards D.V., Vergote I., Vierkant R.A., Wang Z., Wang-Gohrke S., Webb P.M., White E., Whittemore A.S., Winham S.J., Wu X., Wu A.H., Yannoukakos D., Spurdle A.B., O'Mara T.A., Glubb D.M., Thompson D.J., Aben K.K.H., Alsulimani A., Amant F., Annibali D., Attia J., Barricarte A., Beckmann M.W., Berchuck A., Bermisheva M., Bernardini M.Q., Bischof K., Bjorge L., Bodelon C., Brand A.H., Brenton J.D., Brinton L.A., Bruinsma F., Buchanan D.D., Burghaus S., Butzow R., Cai H., Carney M.E., Chanock S.J., Chen C., Chen X.Q., Chen Z., Cook L.S., Cunningham J.M., De Vivo I., deFazio A., Doherty J.A., Dork T., du Bois A., Dunning A.M., Durst M., Edwards T., Edwards R.P., Ekici A.B., Ewing A., Fasching P.A., Ferguson S., Flanagan J.M., Fostira F., Fountzilas G., Friedenreich C.M., Gao B., Gaudet M.M., Gawelko J., Gentry-Maharaj A., Giles G.G., Glasspool R., Goodman M.T., Gronwald J., Harris H.R., Harter P., Hein A., Heitz F., Hildebrandt M.A.T., Hillemanns P., Hogdall E., Hogdall C.K., Holliday E.G., Huntsman D.G., Huzarski T., Jakubowska A., Jensen A., Jones M.E., Karlan B.Y., Karnezis A., Kelley J.L., Khusnutdinova E., Killeen J.L., Kjaer S.K., Klapdor R., Kobel M., Konopka B., Konstantopoulou I., Kopperud R.K., Koti M., Kraft P., Kupryjanczyk J., Lambrechts D., Larson M.C., Le Marchand L., Lele S., Lester J., Li A.J., Liang D., Liebrich C., Lipworth L., Lissowska J., Lu L., Lu K.H., Macciotta A., Mattiello A., May T., McAlpine J.N., McGuire V., McNeish I.A., Menon U., Modugno F., Moysich K.B., Nevanlinna H., Odunsi K., Olsson H., Orsulic S., Osorio A., Palli D., Park-Simon T.-W., Pearce C.L., Pejovic T., Permuth J.B., Podgorska A., Ramus S.J., Rebbeck T.R., Riggan M.J., Risch H.A., Rothstein J.H., Runnebaum I.B., Scott R.J., Sellers T.A., Senz J., Setiawan V.W., Siddiqui N., Sieh W., Spiewankiewicz B., Sutphen R., Swerdlow A.J., Szafron L.M., Teo S.H., Thompson P.J., Thomsen L.C.V., Titus L., Tone A., Tumino R., Turman C., Vanderstichele A., Edwards D.V., Vergote I., Vierkant R.A., Wang Z., Wang-Gohrke S., Webb P.M., White E., Whittemore A.S., Winham S.J., Wu X., Wu A.H., Yannoukakos D., Spurdle A.B., and O'Mara T.A.

Abstract

BACKGROUND: Accumulating evidence suggests a relationship between endometrial cancer and ovarian cancer. Independent genome-wide association studies (GWAS) for endometrial cancer and ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. We aimed to identify joint endometrial and ovarian cancer risk loci by performing a meta-analysis of GWAS summary statistics from these two cancers. METHOD(S): Using LDScore regression, we explored the genetic correlation between endometrial cancer and ovarian cancer. To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e., inverse-variance meta-analysis, colocalization, and M-values) and performed analyses stratified by subtype. Candidate target genes were then prioritized using functional genomic data. RESULT(S): Genetic correlation analysis revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 x 10-5). We found seven loci associated with risk for both cancers (PBonferroni < 2.4 x 10-9). In addition, four novel subgenome-wide regions at 7p22.2, 7q22.1, 9p12, and 11q13.3 were identified (P < 5 x 10-7). Promoter-associated HiChIP chromatin loops from immortalized endometrium and ovarian cell lines and expression quantitative trait loci data highlighted candidate target genes for further investigation. CONCLUSION(S): Using cross-cancer GWAS meta-analysis, we have identified several joint endometrial and ovarian cancer risk loci and candidate target genes for future functional analysis. IMPACT: Our research highlights the shared genetic relationship between endometrial cancer and ovarian cancer. Further studies in larger sample sets are required to confirm our findings.Copyright ©2020 American Association for Cancer Research.

Published
2022

37. High Prediagnosis Inflammation-Related Risk Score Associated with Decreased Ovarian Cancer Survival

Author

Brieger, KK, Phung, MT, Mukherjee, B, Bakulski, KM, Anton-Culver, H, Bandera, E, Bowtell, DDL, Cramer, DW, DeFazio, A, Doherty, JA, Fereday, S, Fortner, RT, Gentry-Maharaj, A, Goode, EL, Goodman, MT, Harris, HR, Matsuo, K, Menon, U, Modugno, F, Moysich, KB, Qin, B, Ramus, SJ, Risch, HA, Rossing, MA, Schildkraut, JM, Trabert, B, Vierkant, RA, Winham, SJ, Wentzensen, N, Wu, AH, Ziogas, A, Khoja, L, Cho, KR, McLean, K, Richardson, J, Grout, B, Chase, A, Deurloo, CM, Odunsi, K, Nelson, BH, Brenton, JD, Terry, KL, Pharoah, PDP, Berchuck, A, Hanley, GE, Webb, PM, Pike, MC, Pearce, CL, Brieger, KK, Phung, MT, Mukherjee, B, Bakulski, KM, Anton-Culver, H, Bandera, E, Bowtell, DDL, Cramer, DW, DeFazio, A, Doherty, JA, Fereday, S, Fortner, RT, Gentry-Maharaj, A, Goode, EL, Goodman, MT, Harris, HR, Matsuo, K, Menon, U, Modugno, F, Moysich, KB, Qin, B, Ramus, SJ, Risch, HA, Rossing, MA, Schildkraut, JM, Trabert, B, Vierkant, RA, Winham, SJ, Wentzensen, N, Wu, AH, Ziogas, A, Khoja, L, Cho, KR, McLean, K, Richardson, J, Grout, B, Chase, A, Deurloo, CM, Odunsi, K, Nelson, BH, Brenton, JD, Terry, KL, Pharoah, PDP, Berchuck, A, Hanley, GE, Webb, PM, Pike, MC, and Pearce, CL

Abstract

BACKGROUND: There is suggestive evidence that inflammation is related to ovarian cancer survival. However, more research is needed to identify inflammation-related factors that are associated with ovarian cancer survival and to determine their combined effects. METHODS: This analysis used pooled data on 8,147 women with invasive epithelial ovarian cancer from the Ovarian Cancer Association Consortium. The prediagnosis inflammation-related exposures of interest included alcohol use; aspirin use; other nonsteroidal anti-inflammatory drug use; body mass index; environmental tobacco smoke exposure; history of pelvic inflammatory disease, polycystic ovarian syndrome, and endometriosis; menopausal hormone therapy use; physical inactivity; smoking status; and talc use. Using Cox proportional hazards models, the relationship between each exposure and survival was assessed in 50% of the data. A weighted inflammation-related risk score (IRRS) was developed, and its association with survival was assessed using Cox proportional hazards models in the remaining 50% of the data. RESULTS: There was a statistically significant trend of increasing risk of death per quartile of the IRRS [HR = 1.09; 95% confidence interval (CI), 1.03-1.14]. Women in the upper quartile of the IRRS had a 31% higher death rate compared with the lowest quartile (95% CI, 1.11-1.54). CONCLUSIONS: A higher prediagnosis IRRS was associated with an increased mortality risk after an ovarian cancer diagnosis. Further investigation is warranted to evaluate whether postdiagnosis exposures are also associated with survival. IMPACT: Given that pre- and postdiagnosis exposures are often correlated and many are modifiable, our study results can ultimately motivate the development of behavioral recommendations to enhance survival among patients with ovarian cancer.

Published
2022

38. Comprehensive epithelial tubo-ovarian cancer risk prediction model incorporating genetic and epidemiological risk factors

Author

Lee, A, Yang, X, Tyrer, J, Gentry-Maharaj, A, Ryan, A, Mavaddat, N, Cunningham, AP, Carver, T, Archer, S, Leslie, G, Kalsi, J, Gaba, F, Manchanda, R, Gayther, S, Ramus, SJ, Walter, FM, Tischkowitz, M, Jacobs, I, Menon, U, Easton, DF, Pharoah, P, Antoniou, AC, Lee, A, Yang, X, Tyrer, J, Gentry-Maharaj, A, Ryan, A, Mavaddat, N, Cunningham, AP, Carver, T, Archer, S, Leslie, G, Kalsi, J, Gaba, F, Manchanda, R, Gayther, S, Ramus, SJ, Walter, FM, Tischkowitz, M, Jacobs, I, Menon, U, Easton, DF, Pharoah, P, and Antoniou, AC

Abstract

BACKGROUND: Epithelial tubo-ovarian cancer (EOC) has high mortality partly due to late diagnosis. Prevention is available but may be associated with adverse effects. A multifactorial risk model based on known genetic and epidemiological risk factors (RFs) for EOC can help identify women at higher risk who could benefit from targeted screening and prevention. METHODS: We developed a multifactorial EOC risk model for women of European ancestry incorporating the effects of pathogenic variants (PVs) in BRCA1, BRCA2, RAD51C, RAD51D and BRIP1, a Polygenic Risk Score (PRS) of arbitrary size, the effects of RFs and explicit family history (FH) using a synthetic model approach. The PRS, PV and RFs were assumed to act multiplicatively. RESULTS: Based on a currently available PRS for EOC that explains 5% of the EOC polygenic variance, the estimated lifetime risks under the multifactorial model in the general population vary from 0.5% to 4.6% for the first to 99th percentiles of the EOC risk distribution. The corresponding range for women with an affected first-degree relative is 1.9%-10.3%. Based on the combined risk distribution, 33% of RAD51D PV carriers are expected to have a lifetime EOC risk of less than 10%. RFs provided the widest distribution, followed by the PRS. In an independent partial model validation, absolute and relative 5-year risks were well calibrated in quintiles of predicted risk. CONCLUSION: This multifactorial risk model can facilitate stratification, in particular among women with FH of cancer and/or moderate-risk and high-risk PVs. The model is available via the CanRisk Tool (www.canrisk.org).

Published
2022

39. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Author

Ahearn, TU, Zhang, H, Michailidou, K, Milne, RL, Bolla, MK, Dennis, J, Dunning, AM, Lush, M, Wang, Q, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Augustinsson, A, Baten, A, Becher, H, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bojesen, SE, Bonanni, B, Borresen-Dale, A-L, Brauch, H, Brenner, H, Brooks-Wilson, A, Bruening, T, Burwinkel, B, Buys, SS, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Collee, JM, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dork, T, Dwek, M, Eccles, DM, Evans, DG, Fasching, PA, Figueroa, J, Floris, G, Gago-Dominguez, M, Gapstur, SM, Garcia-Saenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, Gonzalez-Neira, A, Alnaes, GIG, Grip, M, Guenel, P, Haiman, CA, Hall, P, Hamann, U, Harkness, EF, Heemskerk-Gerritsen, BAM, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Jakimovska, M, Jakubowska, A, John, EM, Jones, ME, Jung, A, Kaaks, R, Kauppila, S, Keeman, R, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Koutros, S, Kristensen, VN, Kruger, U, Kubelka-Sabit, K, Kurian, AW, Kyriacou, K, Lambrechts, D, Lee, DG, Lindblom, A, Linet, M, Lissowska, J, Llaneza, A, Lo, W-Y, MacInnis, RJ, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, McLean, C, Meindl, A, Menon, U, Nevanlinna, H, Newman, WG, Nodora, J, Offit, K, Olsson, H, Orr, N, Park-Simon, T-W, Patel, A, Peto, J, Pita, G, Plaseska-Karanfilska, D, Prentice, R, Punie, K, Pylkas, K, Radice, P, Rennert, G, Romero, A, Ruediger, T, Saloustros, E, Sampson, S, Sandler, DP, Sawyer, EJ, Schmutzler, RK, Schoemaker, MJ, Schottker, B, Sherman, ME, Shu, X-O, Smichkoska, S, Southey, MC, Spinelli, JJ, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Teras, LR, Terry, MB, Torres, D, Troester, MA, Vachon, CM, van Deurzen, CHM, van Veen, EM, Wagner, P, Weinberg, CR, Wendt, C, Wesseling, J, Winqvist, R, Wolk, A, Yang, XR, Zheng, W, Couch, FJ, Simard, J, Kraft, P, Easton, DF, Pharoah, PDP, Schmidt, MK, Garcia-Closas, M, Chatterjee, N, Ahearn, TU, Zhang, H, Michailidou, K, Milne, RL, Bolla, MK, Dennis, J, Dunning, AM, Lush, M, Wang, Q, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Augustinsson, A, Baten, A, Becher, H, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bojesen, SE, Bonanni, B, Borresen-Dale, A-L, Brauch, H, Brenner, H, Brooks-Wilson, A, Bruening, T, Burwinkel, B, Buys, SS, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Collee, JM, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dork, T, Dwek, M, Eccles, DM, Evans, DG, Fasching, PA, Figueroa, J, Floris, G, Gago-Dominguez, M, Gapstur, SM, Garcia-Saenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, Gonzalez-Neira, A, Alnaes, GIG, Grip, M, Guenel, P, Haiman, CA, Hall, P, Hamann, U, Harkness, EF, Heemskerk-Gerritsen, BAM, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Jakimovska, M, Jakubowska, A, John, EM, Jones, ME, Jung, A, Kaaks, R, Kauppila, S, Keeman, R, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Koutros, S, Kristensen, VN, Kruger, U, Kubelka-Sabit, K, Kurian, AW, Kyriacou, K, Lambrechts, D, Lee, DG, Lindblom, A, Linet, M, Lissowska, J, Llaneza, A, Lo, W-Y, MacInnis, RJ, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, McLean, C, Meindl, A, Menon, U, Nevanlinna, H, Newman, WG, Nodora, J, Offit, K, Olsson, H, Orr, N, Park-Simon, T-W, Patel, A, Peto, J, Pita, G, Plaseska-Karanfilska, D, Prentice, R, Punie, K, Pylkas, K, Radice, P, Rennert, G, Romero, A, Ruediger, T, Saloustros, E, Sampson, S, Sandler, DP, Sawyer, EJ, Schmutzler, RK, Schoemaker, MJ, Schottker, B, Sherman, ME, Shu, X-O, Smichkoska, S, Southey, MC, Spinelli, JJ, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Teras, LR, Terry, MB, Torres, D, Troester, MA, Vachon, CM, van Deurzen, CHM, van Veen, EM, Wagner, P, Weinberg, CR, Wendt, C, Wesseling, J, Winqvist, R, Wolk, A, Yang, XR, Zheng, W, Couch, FJ, Simard, J, Kraft, P, Easton, DF, Pharoah, PDP, Schmidt, MK, Garcia-Closas, M, and Chatterjee, N

Abstract

BACKGROUND: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. METHODS: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. RESULTS: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. CONCLUSION: This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.

Published
2022

40. Polygenic risk modeling for prediction of epithelial ovarian cancer risk (vol 30, pg 349, 2021)

Author

Dareng, EO, Tyrer, JP, Barnes, DR, Jones, MR, Yang, X, Aben, KKH, Adank, MA, Agata, S, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Aravantinos, G, Arun, BK, Augustinsson, A, Balmana, J, Bandera, EV, Barkardottir, RB, Barrowdale, D, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, MQ, Bjorge, L, Black, A, Bogdanova, NV, Bonanni, B, Borg, A, Brenton, JD, Budzilowska, A, Butzow, R, Buys, SS, Cai, H, Caligo, MA, Campbell, I, Cannioto, R, Cassingham, H, Chang-Claude, J, Chanock, SJ, Chen, K, Chiew, Y-E, Chung, WK, Claes, KBM, Colonna, S, Cook, LS, Couch, FJ, Daly, MB, Dao, F, Davies, E, de la Hoya, M, de Putter, R, Dennis, J, DePersia, A, Devilee, P, Diez, O, Ding, YC, Doherty, JA, Domchek, SM, Dork, T, du Bois, A, Durst, M, Eccles, DM, Eliassen, HA, Engel, C, Evans, GD, Fasching, PA, Flanagan, JM, Fortner, RT, Machackova, E, Friedman, E, Ganz, PA, Garber, J, Gensini, F, Giles, GG, Glendon, G, Godwin, AK, Goodman, MT, Greene, MH, Gronwald, J, Hahnen, E, Haiman, CA, Hakansson, N, Hamann, U, Hansen, TVO, Harris, HR, Hartman, M, Heitz, F, Hildebrandt, MAT, Hogdall, E, Hogdall, CK, Hopper, JL, Huang, R-Y, Huff, C, Hulick, PJ, Huntsman, DG, Imyanitov, EN, Isaacs, C, Jakubowska, A, James, PA, Janavicius, R, Jensen, A, Johannsson, OT, John, EM, Jones, ME, Kang, D, Karlan, BY, Karnezis, A, Kelemen, LE, Khusnutdinova, E, Kiemeney, LA, Kim, B-G, Kjaer, SK, Komenaka, I, Kupryjanczyk, J, Kurian, AW, Kwong, A, Lambrechts, D, Larson, MC, Lazaro, C, Le, ND, Leslie, G, Lester, J, Lesueur, F, Levine, DA, Li, L, Li, J, Loud, JT, Lu, KH, Lubinski, J, Mai, PL, Manoukian, S, Marks, JR, Matsuno, RK, Matsuo, K, May, T, McGuffog, L, McLaughlin, JR, McNeish, IA, Mebirouk, N, Menon, U, Miller, A, Milne, RL, Minlikeeva, A, Modugno, F, Montagna, M, Moysich, KB, Munro, E, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Yie, JNY, Nielsen, HR, Nielsen, FC, Nikitina-Zake, L, Odunsi, K, Offit, K, Olah, E, Olbrecht, S, Olopade, OI, Olson, SH, Olsson, H, Osorio, A, Papi, L, Park, SK, Parsons, MT, Pathak, H, Pedersen, IS, Peixoto, A, Pejovic, T, Perez-Segura, P, Permuth, JB, Peshkin, B, Peterlongo, P, Piskorz, A, Prokofyeva, D, Radice, P, Rantala, J, Riggan, MJ, Risch, HA, Rodriguez-Antona, C, Ross, E, Rossing, MA, Runnebaum, I, Sandler, DP, Santamarina, M, Soucy, P, Schmutzler, RK, Setiawan, VW, Shan, K, Sieh, W, Simard, J, Singer, CF, Sokolenko, AP, Song, H, Southey, MC, Steed, H, Stoppa-Lyonnet, D, Sutphen, R, Swerdlow, AJ, Tan, YY, Teixeira, MR, Teo, SH, Terry, KL, Terry, MB, Thomassen, M, Thompson, PJ, Thomsen, LCV, Thull, DL, Tischkowitz, M, Titus, L, Toland, AE, Torres, D, Trabert, B, Travis, R, Tung, N, Tworoger, SS, Valen, E, van Altena, AM, van der Hout, AH, Van Nieuwenhuysen, E, van Rensburg, EJ, Vega, A, Edwards, DV, Vierkant, RA, Wang, F, Wappenschmidt, B, Webb, PM, Weinberg, CR, Weitzel, JN, Wentzensen, N, White, E, Whittemore, AS, Winham, SJ, Wolk, A, Woo, Y-L, Wu, AH, Yan, L, Yannoukakos, D, Zavaglia, KM, Zheng, W, Ziogas, A, Zorn, KK, Kleibl, Z, Easton, D, Lawrenson, K, DeFazio, A, Sellers, TA, Ramus, SJ, Pearce, CL, Monteiro, AN, Cunningham, JM, Goode, EL, Schildkraut, JM, Berchuck, A, Chenevix-Trench, G, Gayther, SA, Antoniou, AC, Pharoah, PDP, Dareng, EO, Tyrer, JP, Barnes, DR, Jones, MR, Yang, X, Aben, KKH, Adank, MA, Agata, S, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Aravantinos, G, Arun, BK, Augustinsson, A, Balmana, J, Bandera, EV, Barkardottir, RB, Barrowdale, D, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, MQ, Bjorge, L, Black, A, Bogdanova, NV, Bonanni, B, Borg, A, Brenton, JD, Budzilowska, A, Butzow, R, Buys, SS, Cai, H, Caligo, MA, Campbell, I, Cannioto, R, Cassingham, H, Chang-Claude, J, Chanock, SJ, Chen, K, Chiew, Y-E, Chung, WK, Claes, KBM, Colonna, S, Cook, LS, Couch, FJ, Daly, MB, Dao, F, Davies, E, de la Hoya, M, de Putter, R, Dennis, J, DePersia, A, Devilee, P, Diez, O, Ding, YC, Doherty, JA, Domchek, SM, Dork, T, du Bois, A, Durst, M, Eccles, DM, Eliassen, HA, Engel, C, Evans, GD, Fasching, PA, Flanagan, JM, Fortner, RT, Machackova, E, Friedman, E, Ganz, PA, Garber, J, Gensini, F, Giles, GG, Glendon, G, Godwin, AK, Goodman, MT, Greene, MH, Gronwald, J, Hahnen, E, Haiman, CA, Hakansson, N, Hamann, U, Hansen, TVO, Harris, HR, Hartman, M, Heitz, F, Hildebrandt, MAT, Hogdall, E, Hogdall, CK, Hopper, JL, Huang, R-Y, Huff, C, Hulick, PJ, Huntsman, DG, Imyanitov, EN, Isaacs, C, Jakubowska, A, James, PA, Janavicius, R, Jensen, A, Johannsson, OT, John, EM, Jones, ME, Kang, D, Karlan, BY, Karnezis, A, Kelemen, LE, Khusnutdinova, E, Kiemeney, LA, Kim, B-G, Kjaer, SK, Komenaka, I, Kupryjanczyk, J, Kurian, AW, Kwong, A, Lambrechts, D, Larson, MC, Lazaro, C, Le, ND, Leslie, G, Lester, J, Lesueur, F, Levine, DA, Li, L, Li, J, Loud, JT, Lu, KH, Lubinski, J, Mai, PL, Manoukian, S, Marks, JR, Matsuno, RK, Matsuo, K, May, T, McGuffog, L, McLaughlin, JR, McNeish, IA, Mebirouk, N, Menon, U, Miller, A, Milne, RL, Minlikeeva, A, Modugno, F, Montagna, M, Moysich, KB, Munro, E, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Yie, JNY, Nielsen, HR, Nielsen, FC, Nikitina-Zake, L, Odunsi, K, Offit, K, Olah, E, Olbrecht, S, Olopade, OI, Olson, SH, Olsson, H, Osorio, A, Papi, L, Park, SK, Parsons, MT, Pathak, H, Pedersen, IS, Peixoto, A, Pejovic, T, Perez-Segura, P, Permuth, JB, Peshkin, B, Peterlongo, P, Piskorz, A, Prokofyeva, D, Radice, P, Rantala, J, Riggan, MJ, Risch, HA, Rodriguez-Antona, C, Ross, E, Rossing, MA, Runnebaum, I, Sandler, DP, Santamarina, M, Soucy, P, Schmutzler, RK, Setiawan, VW, Shan, K, Sieh, W, Simard, J, Singer, CF, Sokolenko, AP, Song, H, Southey, MC, Steed, H, Stoppa-Lyonnet, D, Sutphen, R, Swerdlow, AJ, Tan, YY, Teixeira, MR, Teo, SH, Terry, KL, Terry, MB, Thomassen, M, Thompson, PJ, Thomsen, LCV, Thull, DL, Tischkowitz, M, Titus, L, Toland, AE, Torres, D, Trabert, B, Travis, R, Tung, N, Tworoger, SS, Valen, E, van Altena, AM, van der Hout, AH, Van Nieuwenhuysen, E, van Rensburg, EJ, Vega, A, Edwards, DV, Vierkant, RA, Wang, F, Wappenschmidt, B, Webb, PM, Weinberg, CR, Weitzel, JN, Wentzensen, N, White, E, Whittemore, AS, Winham, SJ, Wolk, A, Woo, Y-L, Wu, AH, Yan, L, Yannoukakos, D, Zavaglia, KM, Zheng, W, Ziogas, A, Zorn, KK, Kleibl, Z, Easton, D, Lawrenson, K, DeFazio, A, Sellers, TA, Ramus, SJ, Pearce, CL, Monteiro, AN, Cunningham, JM, Goode, EL, Schildkraut, JM, Berchuck, A, Chenevix-Trench, G, Gayther, SA, Antoniou, AC, and Pharoah, PDP

Published
2022

41. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author

Dareng, EO, Tyrer, JP, Barnes, DR, Jones, MR, Yang, X, Aben, KKH, Adank, MA, Agata, S, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Aravantinos, G, Arun, BK, Augustinsson, A, Balmana, J, Bandera, E, Barkardottir, RB, Barrowdale, D, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, MQ, Bjorge, L, Black, A, Bogdanova, N, Bonanni, B, Borg, A, Brenton, JD, Budzilowska, A, Butzow, R, Buys, SS, Cai, H, Caligo, MA, Campbell, I, Cannioto, R, Cassingham, H, Chang-Claude, J, Chanock, SJ, Chen, K, Chiew, Y-E, Chung, WK, Claes, KBM, Colonna, S, Cook, LS, Couch, FJ, Daly, MB, Dao, F, Davies, E, de la Hoya, M, de Putter, R, Dennis, J, DePersia, A, Devilee, P, Diez, O, Ding, YC, Doherty, JA, Domchek, SM, Dork, T, du Bois, A, Durst, M, Eccles, DM, Eliassen, HA, Engel, C, Evans, GD, Fasching, PA, Flanagan, JM, Fortner, R, Machackova, E, Friedman, E, Ganz, PA, Garber, J, Gensini, F, Giles, GG, Glendon, G, Godwin, AK, Goodman, MT, Greene, MH, Gronwald, J, Group, OS, AOCSGroup, Hahnen, E, Haiman, CA, Hakansson, N, Hamann, U, Hansen, TVO, Harris, HR, Hartman, M, Heitz, F, Hildebrandt, MAT, Hogdall, E, Hogdall, CK, Hopper, JL, Huang, R-Y, Huff, C, Hulick, PJ, Huntsman, DG, Imyanitov, EN, Isaacs, C, Jakubowska, A, James, PA, Janavicius, R, Jensen, A, Johannsson, OT, John, EM, Jones, ME, Kang, D, Karlan, BY, Karnezis, A, Kelemen, LE, Khusnutdinova, E, Kiemeney, LA, Kim, B-G, Kjaer, SK, Komenaka, I, Kupryjanczyk, J, Kurian, AW, Kwong, A, Lambrechts, D, Larson, MC, Lazaro, C, Le, ND, Leslie, G, Lester, J, Lesueur, F, Levine, DA, Li, L, Li, J, Loud, JT, Lu, KH, Mai, PL, Manoukian, S, Marks, JR, KimMatsuno, R, Matsuo, K, May, T, McGuffog, L, McLaughlin, JR, McNeish, IA, Mebirouk, N, Menon, U, Miller, A, Milne, RL, Minlikeeva, A, Modugno, F, Montagna, M, Moysich, KB, Munro, E, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Yie, JNY, Nielsen, HR, Nielsen, FC, Nikitina-Zake, L, Odunsi, K, Offit, K, Olah, E, Olbrecht, S, Olopade, O, Olson, SH, Olsson, H, Osorio, A, Papi, L, Park, SK, Parsons, MT, Pathak, H, Pedersen, IS, Peixoto, A, Pejovic, T, Perez-Segura, P, Permuth, JB, Peshkin, B, Peterlongo, P, Piskorz, A, Prokofyeva, D, Radice, P, Rantala, J, Riggan, MJ, Risch, HA, Rodriguez-Antona, C, Ross, E, Rossing, MA, Runnebaum, I, Sandler, DP, Santamarina, M, Soucy, P, Schmutzler, RK, Setiawan, VW, Shan, K, Sieh, W, Simard, J, Singer, CF, Sokolenko, AP, Song, H, Southey, MC, Steed, H, Stoppa-Lyonnet, D, Sutphen, R, Swerdlow, AJ, Tan, YY, Teixeira, MR, Teo, SH, Terry, KL, BethTerry, M, Thomassen, M, Thompson, PJ, Thomsen, LCV, Thull, DL, Tischkowitz, M, Titus, L, Toland, AE, Torres, D, Trabert, B, Travis, R, Tung, N, Tworoger, SS, Valen, E, van Altena, AM, van der Hout, AH, Nieuwenhuysen, E, van Rensburg, EJ, Vega, A, Edwards, DV, Vierkant, RA, Wang, F, Wappenschmidt, B, Webb, PM, Weinberg, CR, Weitzel, JN, Wentzensen, N, White, E, Whittemore, AS, Winham, SJ, Wolk, A, Woo, Y-L, Wu, AH, Yan, L, Yannoukakos, D, Zavaglia, KM, Zheng, W, Ziogas, A, Zorn, KK, Kleibl, Z, Easton, D, Lawrenson, K, DeFazio, A, Sellers, TA, Ramus, SJ, Pearce, CL, Monteiro, AN, Cunningham, J, Goode, EL, Schildkraut, JM, Berchuck, A, Chenevix-Trench, G, Gayther, SA, Antoniou, AC, Pharoah, PDP, Dareng, EO, Tyrer, JP, Barnes, DR, Jones, MR, Yang, X, Aben, KKH, Adank, MA, Agata, S, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Aravantinos, G, Arun, BK, Augustinsson, A, Balmana, J, Bandera, E, Barkardottir, RB, Barrowdale, D, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, MQ, Bjorge, L, Black, A, Bogdanova, N, Bonanni, B, Borg, A, Brenton, JD, Budzilowska, A, Butzow, R, Buys, SS, Cai, H, Caligo, MA, Campbell, I, Cannioto, R, Cassingham, H, Chang-Claude, J, Chanock, SJ, Chen, K, Chiew, Y-E, Chung, WK, Claes, KBM, Colonna, S, Cook, LS, Couch, FJ, Daly, MB, Dao, F, Davies, E, de la Hoya, M, de Putter, R, Dennis, J, DePersia, A, Devilee, P, Diez, O, Ding, YC, Doherty, JA, Domchek, SM, Dork, T, du Bois, A, Durst, M, Eccles, DM, Eliassen, HA, Engel, C, Evans, GD, Fasching, PA, Flanagan, JM, Fortner, R, Machackova, E, Friedman, E, Ganz, PA, Garber, J, Gensini, F, Giles, GG, Glendon, G, Godwin, AK, Goodman, MT, Greene, MH, Gronwald, J, Group, OS, AOCSGroup, Hahnen, E, Haiman, CA, Hakansson, N, Hamann, U, Hansen, TVO, Harris, HR, Hartman, M, Heitz, F, Hildebrandt, MAT, Hogdall, E, Hogdall, CK, Hopper, JL, Huang, R-Y, Huff, C, Hulick, PJ, Huntsman, DG, Imyanitov, EN, Isaacs, C, Jakubowska, A, James, PA, Janavicius, R, Jensen, A, Johannsson, OT, John, EM, Jones, ME, Kang, D, Karlan, BY, Karnezis, A, Kelemen, LE, Khusnutdinova, E, Kiemeney, LA, Kim, B-G, Kjaer, SK, Komenaka, I, Kupryjanczyk, J, Kurian, AW, Kwong, A, Lambrechts, D, Larson, MC, Lazaro, C, Le, ND, Leslie, G, Lester, J, Lesueur, F, Levine, DA, Li, L, Li, J, Loud, JT, Lu, KH, Mai, PL, Manoukian, S, Marks, JR, KimMatsuno, R, Matsuo, K, May, T, McGuffog, L, McLaughlin, JR, McNeish, IA, Mebirouk, N, Menon, U, Miller, A, Milne, RL, Minlikeeva, A, Modugno, F, Montagna, M, Moysich, KB, Munro, E, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Yie, JNY, Nielsen, HR, Nielsen, FC, Nikitina-Zake, L, Odunsi, K, Offit, K, Olah, E, Olbrecht, S, Olopade, O, Olson, SH, Olsson, H, Osorio, A, Papi, L, Park, SK, Parsons, MT, Pathak, H, Pedersen, IS, Peixoto, A, Pejovic, T, Perez-Segura, P, Permuth, JB, Peshkin, B, Peterlongo, P, Piskorz, A, Prokofyeva, D, Radice, P, Rantala, J, Riggan, MJ, Risch, HA, Rodriguez-Antona, C, Ross, E, Rossing, MA, Runnebaum, I, Sandler, DP, Santamarina, M, Soucy, P, Schmutzler, RK, Setiawan, VW, Shan, K, Sieh, W, Simard, J, Singer, CF, Sokolenko, AP, Song, H, Southey, MC, Steed, H, Stoppa-Lyonnet, D, Sutphen, R, Swerdlow, AJ, Tan, YY, Teixeira, MR, Teo, SH, Terry, KL, BethTerry, M, Thomassen, M, Thompson, PJ, Thomsen, LCV, Thull, DL, Tischkowitz, M, Titus, L, Toland, AE, Torres, D, Trabert, B, Travis, R, Tung, N, Tworoger, SS, Valen, E, van Altena, AM, van der Hout, AH, Nieuwenhuysen, E, van Rensburg, EJ, Vega, A, Edwards, DV, Vierkant, RA, Wang, F, Wappenschmidt, B, Webb, PM, Weinberg, CR, Weitzel, JN, Wentzensen, N, White, E, Whittemore, AS, Winham, SJ, Wolk, A, Woo, Y-L, Wu, AH, Yan, L, Yannoukakos, D, Zavaglia, KM, Zheng, W, Ziogas, A, Zorn, KK, Kleibl, Z, Easton, D, Lawrenson, K, DeFazio, A, Sellers, TA, Ramus, SJ, Pearce, CL, Monteiro, AN, Cunningham, J, Goode, EL, Schildkraut, JM, Berchuck, A, Chenevix-Trench, G, Gayther, SA, Antoniou, AC, and Pharoah, PDP

Abstract

Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, "select and shrink for summary statistics" (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28-1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08-1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21-1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29-1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35-1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.

Published
2022

42. Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci

Author

DeVries, A.A.F., Dennis, J., Tyrer, J.P., Peng, P.C., Coetzee, S.G., Reyes, A.L., Plummer, J.T., Davis, B.D., Chen, S.S., Dezem, F.S., Aben, K.K.H., Anton-Culver, H., Antonenkova, N.N., Beckmann, M.W., Beeghly-Fadiel, A., Berchuck, A., Bogdanova, N.V., Bogdanova-Markov, N., Brenton, J.D., Butzow, R., Campbell, I., Chang-Claude, J., Chenevix-Trench, G., Cook, L.S., Defazio, A., Doherty, J.A., Dörk, T., Eccles, D.M., Eliassen, A.H., Fasching, P.A., Fortner, R.T., Giles, G.G., Goode, E.L., Goodman, M.T., Gronwald, J., Håkansson, N., Hildebrandt, M.A., Huff, C., Huntsman, D.G., Jensen, A., Kar, S., Karlan, B.Y., Khusnutdinova, E.K., Kiemeney, L.A.L.M., Kjaer, S.K., Kupryjanczyk, J., Labrie, M., Lambrechts, D., Le, N.D., Lubiński, J., May, T., Menon, U., Milne, R.L., Modugno, F., Monteiro, Ana, Moysich, K.B., Odunsi, K., Olsson, H., Pearce, C.L., Pejovic, T., Ramus, S.J., Riboli, E., Riggan, M.J., Romieu, I., Sandler, D.P., Schildkraut, J.M., Setiawan, V.W., Sieh, W., Song, H., Sutphen, R., Terry, K.L., Thompson, P.J., Titus, L., Tworoger, S.S., Nieuwenhuysen, E. Van, Edwards, D.V., Webb, P.M., Wentzensen, N., Whittemore, A.S., Wolk, A., Wu, A.H., Ziogas, Argyrios, Freedman, M.L., Lawrenson, K., Pharoah, P.D., Easton, D.F., Gayther, S.A., Jones, M.R., DeVries, A.A.F., Dennis, J., Tyrer, J.P., Peng, P.C., Coetzee, S.G., Reyes, A.L., Plummer, J.T., Davis, B.D., Chen, S.S., Dezem, F.S., Aben, K.K.H., Anton-Culver, H., Antonenkova, N.N., Beckmann, M.W., Beeghly-Fadiel, A., Berchuck, A., Bogdanova, N.V., Bogdanova-Markov, N., Brenton, J.D., Butzow, R., Campbell, I., Chang-Claude, J., Chenevix-Trench, G., Cook, L.S., Defazio, A., Doherty, J.A., Dörk, T., Eccles, D.M., Eliassen, A.H., Fasching, P.A., Fortner, R.T., Giles, G.G., Goode, E.L., Goodman, M.T., Gronwald, J., Håkansson, N., Hildebrandt, M.A., Huff, C., Huntsman, D.G., Jensen, A., Kar, S., Karlan, B.Y., Khusnutdinova, E.K., Kiemeney, L.A.L.M., Kjaer, S.K., Kupryjanczyk, J., Labrie, M., Lambrechts, D., Le, N.D., Lubiński, J., May, T., Menon, U., Milne, R.L., Modugno, F., Monteiro, Ana, Moysich, K.B., Odunsi, K., Olsson, H., Pearce, C.L., Pejovic, T., Ramus, S.J., Riboli, E., Riggan, M.J., Romieu, I., Sandler, D.P., Schildkraut, J.M., Setiawan, V.W., Sieh, W., Song, H., Sutphen, R., Terry, K.L., Thompson, P.J., Titus, L., Tworoger, S.S., Nieuwenhuysen, E. Van, Edwards, D.V., Webb, P.M., Wentzensen, N., Whittemore, A.S., Wolk, A., Wu, A.H., Ziogas, Argyrios, Freedman, M.L., Lawrenson, K., Pharoah, P.D., Easton, D.F., Gayther, S.A., and Jones, M.R.

Abstract

Item does not contain fulltext, BACKGROUND: Known risk alleles for epithelial ovarian cancer (EOC) account for approximately 40% of the heritability for EOC. Copy number variants (CNVs) have not been investigated as EOC risk alleles in a large population cohort. METHODS: Single nucleotide polymorphism array data from 13 071 EOC cases and 17 306 controls of White European ancestry were used to identify CNVs associated with EOC risk using a rare admixture maximum likelihood test for gene burden and a by-probe ratio test. We performed enrichment analysis of CNVs at known EOC risk loci and functional biofeatures in ovarian cancer-related cell types. RESULTS: We identified statistically significant risk associations with CNVs at known EOC risk genes; BRCA1 (PEOC = 1.60E-21; OREOC = 8.24), RAD51C (Phigh-grade serous ovarian cancer [HGSOC] = 5.5E-4; odds ratio [OR]HGSOC = 5.74 del), and BRCA2 (PHGSOC = 7.0E-4; ORHGSOC = 3.31 deletion). Four suggestive associations (P < .001) were identified for rare CNVs. Risk-associated CNVs were enriched (P < .05) at known EOC risk loci identified by genome-wide association study. Noncoding CNVs were enriched in active promoters and insulators in EOC-related cell types. CONCLUSIONS: CNVs in BRCA1 have been previously reported in smaller studies, but their observed frequency in this large population-based cohort, along with the CNVs observed at BRCA2 and RAD51C gene loci in EOC cases, suggests that these CNVs are potentially pathogenic and may contribute to the spectrum of disease-causing mutations in these genes. CNVs are likely to occur in a wider set of susceptibility regions, with potential implications for clinical genetic testing and disease prevention.

Published
2022

43. Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci

Author

DeVries, AA, Dennis, J, Tyrer, JP, Peng, P-C, Coetzee, SG, Reyes, AL, Plummer, JT, Davis, BD, Chen, SS, Dezem, FS, Aben, KKH, Anton-Culver, H, Antonenkova, NN, Beckmann, MW, Beeghly-Fadiel, A, Berchuck, A, Bogdanova, N, Bogdanova-Markov, N, Brenton, JD, Butzow, R, Campbell, I, Chang-Claude, J, Chenevix-Trench, G, Cook, LS, DeFazio, A, Doherty, JA, Dork, T, Eccles, DM, Eliassen, AH, Fasching, PA, Fortner, RT, Giles, GG, Goode, EL, Goodman, MT, Gronwald, J, Hakansson, N, Hildebrandt, MAT, Huff, C, Huntsman, DG, Jensen, A, Kar, S, Karlan, BY, Khusnutdinova, EK, Kiemeney, LA, Kjaer, SK, Kupryjanczyk, J, Labrie, M, Lambrechts, D, Le, ND, Lubinski, J, May, T, Menon, U, Milne, RL, Modugno, F, Monteiro, AN, Moysich, KB, Odunsi, K, Olsson, H, Pearce, CL, Pejovic, T, Ramus, SJ, Riboli, E, Riggan, MJ, Romieu, I, Sandler, DP, Schildkraut, JM, Setiawan, VW, Sieh, W, Song, H, Sutphen, R, Terry, KL, Thompson, PJ, Titus, L, Tworoger, SS, Van Nieuwenhuysen, E, Edwards, DV, Webb, PM, Wentzensen, N, Whittemore, AS, Wolk, A, Wu, AH, Ziogas, A, Freedman, ML, Lawrenson, K, Pharoah, PDP, Easton, DF, Gayther, SA, Jones, MR, DeVries, AA, Dennis, J, Tyrer, JP, Peng, P-C, Coetzee, SG, Reyes, AL, Plummer, JT, Davis, BD, Chen, SS, Dezem, FS, Aben, KKH, Anton-Culver, H, Antonenkova, NN, Beckmann, MW, Beeghly-Fadiel, A, Berchuck, A, Bogdanova, N, Bogdanova-Markov, N, Brenton, JD, Butzow, R, Campbell, I, Chang-Claude, J, Chenevix-Trench, G, Cook, LS, DeFazio, A, Doherty, JA, Dork, T, Eccles, DM, Eliassen, AH, Fasching, PA, Fortner, RT, Giles, GG, Goode, EL, Goodman, MT, Gronwald, J, Hakansson, N, Hildebrandt, MAT, Huff, C, Huntsman, DG, Jensen, A, Kar, S, Karlan, BY, Khusnutdinova, EK, Kiemeney, LA, Kjaer, SK, Kupryjanczyk, J, Labrie, M, Lambrechts, D, Le, ND, Lubinski, J, May, T, Menon, U, Milne, RL, Modugno, F, Monteiro, AN, Moysich, KB, Odunsi, K, Olsson, H, Pearce, CL, Pejovic, T, Ramus, SJ, Riboli, E, Riggan, MJ, Romieu, I, Sandler, DP, Schildkraut, JM, Setiawan, VW, Sieh, W, Song, H, Sutphen, R, Terry, KL, Thompson, PJ, Titus, L, Tworoger, SS, Van Nieuwenhuysen, E, Edwards, DV, Webb, PM, Wentzensen, N, Whittemore, AS, Wolk, A, Wu, AH, Ziogas, A, Freedman, ML, Lawrenson, K, Pharoah, PDP, Easton, DF, Gayther, SA, and Jones, MR

Abstract

BACKGROUND: Known risk alleles for epithelial ovarian cancer (EOC) account for approximately 40% of the heritability for EOC. Copy number variants (CNVs) have not been investigated as EOC risk alleles in a large population cohort. METHODS: Single nucleotide polymorphism array data from 13 071 EOC cases and 17 306 controls of White European ancestry were used to identify CNVs associated with EOC risk using a rare admixture maximum likelihood test for gene burden and a by-probe ratio test. We performed enrichment analysis of CNVs at known EOC risk loci and functional biofeatures in ovarian cancer-related cell types. RESULTS: We identified statistically significant risk associations with CNVs at known EOC risk genes; BRCA1 (PEOC = 1.60E-21; OREOC = 8.24), RAD51C (Phigh-grade serous ovarian cancer [HGSOC] = 5.5E-4; odds ratio [OR]HGSOC = 5.74 del), and BRCA2 (PHGSOC = 7.0E-4; ORHGSOC = 3.31 deletion). Four suggestive associations (P < .001) were identified for rare CNVs. Risk-associated CNVs were enriched (P < .05) at known EOC risk loci identified by genome-wide association study. Noncoding CNVs were enriched in active promoters and insulators in EOC-related cell types. CONCLUSIONS: CNVs in BRCA1 have been previously reported in smaller studies, but their observed frequency in this large population-based cohort, along with the CNVs observed at BRCA2 and RAD51C gene loci in EOC cases, suggests that these CNVs are potentially pathogenic and may contribute to the spectrum of disease-causing mutations in these genes. CNVs are likely to occur in a wider set of susceptibility regions, with potential implications for clinical genetic testing and disease prevention.

Published
2022

44. Diagnostic routes and time intervals for ovarian cancer in nine international jurisdictions; findings from the International Cancer Benchmarking Partnership (ICBP).

Author

Menon, U, Weller, D, Falborg, AZ, Jensen, H, Butler, J, Barisic, A, Knudsen, AK, Bergin, RJ, Brewster, DH, Cairnduff, V, Fourkala, EO, Gavin, AT, Grunfeld, E, Harland, E, Kalsi, J, Law, R-J, Lin, Y, Turner, D, Neal, RD, White, V, Harrison, S, Reguilon, I, Lynch, C, Vedsted, P, ICBP Module 4 Working Group, Menon, U, Weller, D, Falborg, AZ, Jensen, H, Butler, J, Barisic, A, Knudsen, AK, Bergin, RJ, Brewster, DH, Cairnduff, V, Fourkala, EO, Gavin, AT, Grunfeld, E, Harland, E, Kalsi, J, Law, R-J, Lin, Y, Turner, D, Neal, RD, White, V, Harrison, S, Reguilon, I, Lynch, C, Vedsted, P, and ICBP Module 4 Working Group

Abstract

BACKGROUND: International Cancer Benchmarking Partnership Module 4 reports the first international comparison of ovarian cancer (OC) diagnosis routes and intervals (symptom onset to treatment start), which may inform previously reported variations in survival and stage. METHODS: Data were collated from 1110 newly diagnosed OC patients aged >40 surveyed between 2013 and 2015 across five countries (51-272 per jurisdiction), their primary-care physicians (PCPs) and cancer treatment specialists, supplement by treatment records or clinical databases. Diagnosis routes and time interval differences using quantile regression with reference to Denmark (largest survey response) were calculated. RESULTS: There were no significant jurisdictional differences in the proportion diagnosed with symptoms on the Goff Symptom Index (53%; P = 0.179) or National Institute for Health and Care Excellence NG12 guidelines (62%; P = 0.946). Though the main diagnosis route consistently involved primary-care presentation (63-86%; P = 0.068), onward urgent referral rates varied significantly (29-79%; P < 0.001). In most jurisdictions, diagnostic intervals were generally shorter and other intervals, in particular, treatment longer compared to Denmark. CONCLUSION: This study highlights key intervals in the diagnostic pathway where improvements could be made. It provides the opportunity to consider the systems and approaches across different jurisdictions that might allow for more timely ovarian cancer diagnosis and treatment.

Published
2022

45. Validated biomarker assays confirm that ARID1A loss is confounded with MMR deficiency, CD8(+) TIL infiltration, and provides no independent prognostic value in endometriosis-associated ovarian carcinomas

Author

Heinze, K, Nazeran, TM, Lee, S, Kramer, P, Cairns, ES, Chiu, DS, Leung, SCY, Kang, EY, Meagher, NS, Kennedy, CJ, Boros, J, Kommoss, F, Vollert, H-W, Heitze, F, du Bois, A, Harter, P, Grube, M, Kraemer, B, Staebler, A, Kommoss, FKF, Heublein, S, Sinn, H-P, Singh, N, Laslavic, A, Elishaev, E, Olawaiye, A, Moysich, K, Modugno, F, Sharma, R, Brand, AH, Harnett, PR, DeFazio, A, Fortner, RT, Lubinski, J, Lener, M, Toloczko-Grabarek, A, Cybulski, C, Gronwald, H, Gronwald, J, Coulson, P, El-Bahrawy, MA, Jones, ME, Schoemaker, MJ, Swerdlow, AJ, Gorringe, KL, Campbell, I, Cook, L, Gayther, SA, Carney, ME, Shvetsov, YB, Hernandez, BY, Wilkens, LR, Goodman, MT, Mateoiu, C, Linder, A, Sundfeldt, K, Kelemen, LE, Gentry-Maharaj, A, Widschwendter, M, Menon, U, Bolton, KL, Alsop, J, Shah, M, Jimenez-Linan, M, Pharoah, PDP, Brenton, JD, Cushing-Haugen, KL, Harris, HR, Doherty, JA, Gilks, B, Ghatage, P, Huntsman, DG, Nelson, GS, Tinker, A, Lee, C-H, Goode, EL, Nelson, BH, Ramus, SJ, Kommoss, S, Talhouk, A, Kobel, M, Anglesio, MS, Heinze, K, Nazeran, TM, Lee, S, Kramer, P, Cairns, ES, Chiu, DS, Leung, SCY, Kang, EY, Meagher, NS, Kennedy, CJ, Boros, J, Kommoss, F, Vollert, H-W, Heitze, F, du Bois, A, Harter, P, Grube, M, Kraemer, B, Staebler, A, Kommoss, FKF, Heublein, S, Sinn, H-P, Singh, N, Laslavic, A, Elishaev, E, Olawaiye, A, Moysich, K, Modugno, F, Sharma, R, Brand, AH, Harnett, PR, DeFazio, A, Fortner, RT, Lubinski, J, Lener, M, Toloczko-Grabarek, A, Cybulski, C, Gronwald, H, Gronwald, J, Coulson, P, El-Bahrawy, MA, Jones, ME, Schoemaker, MJ, Swerdlow, AJ, Gorringe, KL, Campbell, I, Cook, L, Gayther, SA, Carney, ME, Shvetsov, YB, Hernandez, BY, Wilkens, LR, Goodman, MT, Mateoiu, C, Linder, A, Sundfeldt, K, Kelemen, LE, Gentry-Maharaj, A, Widschwendter, M, Menon, U, Bolton, KL, Alsop, J, Shah, M, Jimenez-Linan, M, Pharoah, PDP, Brenton, JD, Cushing-Haugen, KL, Harris, HR, Doherty, JA, Gilks, B, Ghatage, P, Huntsman, DG, Nelson, GS, Tinker, A, Lee, C-H, Goode, EL, Nelson, BH, Ramus, SJ, Kommoss, S, Talhouk, A, Kobel, M, and Anglesio, MS

Published
2022

46. Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study

Author

Dixon-Suen, SC, Lewis, SJ, Martin, RM, English, DR, Boyle, T, Giles, GG, Michailidou, K, Bolla, MK, Wang, Q, Dennis, J, Lush, M, Ahearn, TU, Ambrosone, CB, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Augustinsson, A, Auvinen, P, Beane Freeman, LE, Becher, H, Beckmann, MW, Behrens, S, Bermisheva, M, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bonanni, B, Brenner, H, Bruening, T, Buys, SS, Camp, NJ, Campa, D, Canzian, F, Castelao, JE, Cessna, MH, Chang-Claude, J, Chanock, SJ, Clarke, CL, Conroy, DM, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Doerk, T, Dwek, M, Eccles, DM, Eliassen, AH, Engel, C, Eriksson, M, Evans, DG, Fasching, PA, Fletcher, O, Flyger, H, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Garcia-Saenz, JA, Goldberg, MS, Guenel, P, Guendert, M, Hahnen, E, Haiman, CA, Haeberle, L, Hakansson, N, Hall, P, Hamann, U, Hart, SN, Harvie, M, Hillemanns, P, Hollestelle, A, Hooning, MJ, Hoppe, R, Hopper, J, Howell, A, Hunter, DJ, Jakubowska, A, Janni, W, John, EM, Jung, A, Kaaks, R, Keeman, R, Kitahara, CM, Koutros, S, Kraft, P, Kristensen, VN, Kubelka-Sabit, K, Kurian, AW, Lacey, J, Lambrechts, D, Le Marchand, L, Lindblom, A, Loibl, S, Lubinski, J, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, Mavroudis, D, Menon, U, Mulligan, AM, Murphy, RA, Nevanlinna, H, Nevelsteen, I, Newman, WG, Offit, K, Olshan, AF, Olsson, H, Orr, N, Patel, A, Peto, J, Plaseska-Karanfilska, D, Presneau, N, Rack, B, Radice, P, Rees-Punia, E, Rennert, G, Rennert, HS, Romero, A, Saloustros, E, Sandler, DP, Schmidt, MK, Schmutzler, RK, Schwentner, L, Scott, C, Shah, M, Shu, X-O, Simard, J, Southey, MC, Stone, J, Surowy, H, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Terry, MB, Tollenaar, RAEM, Troester, MA, Truong, T, Untch, M, Vachon, CM, Joseph, V, Wappenschmidt, B, Weinberg, CR, Wolk, A, Yannoukakos, D, Zheng, W, Ziogas, A, Dunning, AM, Pharoah, PDP, Easton, DF, Milne, RL, Lynch, BM, Dixon-Suen, SC, Lewis, SJ, Martin, RM, English, DR, Boyle, T, Giles, GG, Michailidou, K, Bolla, MK, Wang, Q, Dennis, J, Lush, M, Ahearn, TU, Ambrosone, CB, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Augustinsson, A, Auvinen, P, Beane Freeman, LE, Becher, H, Beckmann, MW, Behrens, S, Bermisheva, M, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bonanni, B, Brenner, H, Bruening, T, Buys, SS, Camp, NJ, Campa, D, Canzian, F, Castelao, JE, Cessna, MH, Chang-Claude, J, Chanock, SJ, Clarke, CL, Conroy, DM, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Doerk, T, Dwek, M, Eccles, DM, Eliassen, AH, Engel, C, Eriksson, M, Evans, DG, Fasching, PA, Fletcher, O, Flyger, H, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Garcia-Saenz, JA, Goldberg, MS, Guenel, P, Guendert, M, Hahnen, E, Haiman, CA, Haeberle, L, Hakansson, N, Hall, P, Hamann, U, Hart, SN, Harvie, M, Hillemanns, P, Hollestelle, A, Hooning, MJ, Hoppe, R, Hopper, J, Howell, A, Hunter, DJ, Jakubowska, A, Janni, W, John, EM, Jung, A, Kaaks, R, Keeman, R, Kitahara, CM, Koutros, S, Kraft, P, Kristensen, VN, Kubelka-Sabit, K, Kurian, AW, Lacey, J, Lambrechts, D, Le Marchand, L, Lindblom, A, Loibl, S, Lubinski, J, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, Mavroudis, D, Menon, U, Mulligan, AM, Murphy, RA, Nevanlinna, H, Nevelsteen, I, Newman, WG, Offit, K, Olshan, AF, Olsson, H, Orr, N, Patel, A, Peto, J, Plaseska-Karanfilska, D, Presneau, N, Rack, B, Radice, P, Rees-Punia, E, Rennert, G, Rennert, HS, Romero, A, Saloustros, E, Sandler, DP, Schmidt, MK, Schmutzler, RK, Schwentner, L, Scott, C, Shah, M, Shu, X-O, Simard, J, Southey, MC, Stone, J, Surowy, H, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Terry, MB, Tollenaar, RAEM, Troester, MA, Truong, T, Untch, M, Vachon, CM, Joseph, V, Wappenschmidt, B, Weinberg, CR, Wolk, A, Yannoukakos, D, Zheng, W, Ziogas, A, Dunning, AM, Pharoah, PDP, Easton, DF, Milne, RL, and Lynch, BM

Abstract

OBJECTIVES: Physical inactivity and sedentary behaviour are associated with higher breast cancer risk in observational studies, but ascribing causality is difficult. Mendelian randomisation (MR) assesses causality by simulating randomised trial groups using genotype. We assessed whether lifelong physical activity or sedentary time, assessed using genotype, may be causally associated with breast cancer risk overall, pre/post-menopause, and by case-groups defined by tumour characteristics. METHODS: We performed two-sample inverse-variance-weighted MR using individual-level Breast Cancer Association Consortium case-control data from 130 957 European-ancestry women (69 838 invasive cases), and published UK Biobank data (n=91 105-377 234). Genetic instruments were single nucleotide polymorphisms (SNPs) associated in UK Biobank with wrist-worn accelerometer-measured overall physical activity (nsnps=5) or sedentary time (nsnps=6), or accelerometer-measured (nsnps=1) or self-reported (nsnps=5) vigorous physical activity. RESULTS: Greater genetically-predicted overall activity was associated with lower breast cancer overall risk (OR=0.59; 95% confidence interval (CI) 0.42 to 0.83 per-standard deviation (SD;~8 milligravities acceleration)) and for most case-groups. Genetically-predicted vigorous activity was associated with lower risk of pre/perimenopausal breast cancer (OR=0.62; 95% CI 0.45 to 0.87,≥3 vs. 0 self-reported days/week), with consistent estimates for most case-groups. Greater genetically-predicted sedentary time was associated with higher hormone-receptor-negative tumour risk (OR=1.77; 95% CI 1.07 to 2.92 per-SD (~7% time spent sedentary)), with elevated estimates for most case-groups. Results were robust to sensitivity analyses examining pleiotropy (including weighted-median-MR, MR-Egger). CONCLUSION: Our study provides strong evidence that greater overall physical activity, greater vigorous activity, and lower sedentary time are likely to reduce breast cancer r

Published
2022

47. Diagnostic pathways for breast cancer in 10 International Cancer Benchmarking Partnership (ICBP) jurisdictions: an international comparative cohort study based on questionnaire and registry data.

Author

Vedsted, P, Weller, D, Zalounina Falborg, A, Jensen, H, Kalsi, J, Brewster, D, Lin, Y, Gavin, A, Barisic, A, Grunfeld, E, Lambe, M, Malmberg, M, Turner, D, Harland, E, Hawryluk, B, Law, R-J, Neal, RD, White, V, Bergin, R, Harrison, S, Menon, U, ICBP Module 4 Working Group, ICBP Module 4 Academic Reference Group, Vedsted, P, Weller, D, Zalounina Falborg, A, Jensen, H, Kalsi, J, Brewster, D, Lin, Y, Gavin, A, Barisic, A, Grunfeld, E, Lambe, M, Malmberg, M, Turner, D, Harland, E, Hawryluk, B, Law, R-J, Neal, RD, White, V, Bergin, R, Harrison, S, Menon, U, ICBP Module 4 Working Group, and ICBP Module 4 Academic Reference Group

Abstract

OBJECTIVES: A growing body of evidence suggests longer time between symptom onset and start of treatment affects breast cancer prognosis. To explore this association, the International Cancer Benchmarking Partnership Module 4 examined differences in breast cancer diagnostic pathways in 10 jurisdictions across Australia, Canada, Denmark, Norway, Sweden and the UK. SETTING: Primary care in 10 jurisdictions. PARTICIPANT: Data were collated from 3471 women aged >40 diagnosed for the first time with breast cancer and surveyed between 2013 and 2015. Data were supplemented by feedback from their primary care physicians (PCPs), cancer treatment specialists and available registry data. PRIMARY AND SECONDARY OUTCOME MEASURES: Patient, primary care, diagnostic and treatment intervals. RESULTS: Overall, 56% of women reported symptoms to primary care, with 66% first noticing lumps or breast changes. PCPs reported 77% presented with symptoms, of whom 81% were urgently referred with suspicion of cancer (ranging from 62% to 92%; Norway and Victoria). Ranges for median patient, primary care and diagnostic intervals (days) for symptomatic patients were 3-29 (Denmark and Sweden), 0-20 (seven jurisdictions and Ontario) and 8-29 (Denmark and Wales). Ranges for median treatment and total intervals (days) for all patients were 15-39 (Norway, Victoria and Manitoba) and 4-78 days (Sweden, Victoria and Ontario). The 10% longest waits ranged between 101 and 209 days (Sweden and Ontario). CONCLUSIONS: Large international differences in breast cancer diagnostic pathways exist, suggesting some jurisdictions develop more effective strategies to optimise pathways and reduce time intervals. Targeted awareness interventions could also facilitate more timely diagnosis of breast cancer.

Published
2022

48. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Author

Ahearn, T. U. (Thomas U.), Zhang, H. (Haoyu), Michailidou, K. (Kyriaki), Milne, R. L. (Roger L.), Bolla, M. K. (Manjeet K.), Dennis, J. (Joe), Dunning, A. M. (Alison M.), Lush, M. (Michael), Wang, Q. (Qin), Andrulis, I. L. (Irene L.), Anton-Culver, H. (Hoda), Arndt, V. (Volker), Aronson, K. J. (Kristan J.), Auer, P. L. (Paul L.), Augustinsson, A. (Annelie), Baten, A. (Adinda), Becher, H. (Heiko), Behrens, S. (Sabine), Benitez, J. (Javier), Bermisheva, M. (Marina), Blomqvist, C. (Carl), Bojesen, S. E. (Stig E.), Bonanni, B. (Bernardo), Borresen-Dale, A.-L. (Anne-Lise), Brauch, H. (Hiltrud), Brenner, H. (Hermann), Brooks-Wilson, A. (Angela), Bruening, T. (Thomas), Burwinkel, B. (Barbara), Buys, S. S. (Saundra S.), Canzian, F. (Federico), Castelao, J. E. (Jose E.), Chang-Claude, J. (Jenny), Chanock, S. J. (Stephen J.), Chenevix-Trench, G. (Georgia), Clarke, C. L. (Christine L.), Collee, J. M. (J. Margriet), Cox, A. (Angela), Cross, S. S. (Simon S.), Czene, K. (Kamila), Daly, M. B. (Mary B.), Devilee, P. (Peter), Dork, T. (Thilo), Dwek, M. (Miriam), Eccles, D. M. (Diana M.), Evans, D. G. (D. Gareth), Fasching, P. A. (Peter A.), Figueroa, J. (Jonine), Floris, G. (Giuseppe), Gago-Dominguez, M. (Manuela), Gapstur, S. M. (Susan M.), Garcia-Saenz, J. A. (Jose A.), Gaudet, M. M. (Mia M.), Giles, G. G. (Graham G.), Goldberg, M. S. (Mark S.), Gonzalez-Neira, A. (Anna), Alnaes, G. I. (Grethe I. Grenaker), Grip, M. (Mervi), Guenel, P. (Pascal), Haiman, C. A. (Christopher A.), Hall, P. (Per), Hamann, U. (Ute), Harkness, E. F. (Elaine F.), Heemskerk-Gerritsen, B. A. (Bernadette A. M.), Holleczek, B. (Bernd), Hollestelle, A. (Antoinette), Hooning, M. J. (Maartje J.), Hoover, R. N. (Robert N.), Hopper, J. L. (John L.), Howell, A. (Anthony), Jakimovska, M. (Milena), Jakubowska, A. (Anna), John, E. M. (Esther M.), Jones, M. E. (Michael E.), Jung, A. (Audrey), Kaaks, R. (Rudolf), Kauppila, S. (Saila), Keeman, R. (Renske), Khusnutdinova, E. (Elza), Kitahara, C. M. (Cari M.), Ko, Y.-D. (Yon-Dschun), Koutros, S. (Stella), Kristensen, V. N. (Vessela N.), Kruger, U. (Ute), Kubelka-Sabit, K. (Katerina), Kurian, A. W. (Allison W.), Kyriacou, K. (Kyriacos), Lambrechts, D. (Diether), Lee, D. G. (Derrick G.), Lindblom, A. (Annika), Linet, M. (Martha), Lissowska, J. (Jolanta), Llaneza, A. (Ana), Lo, W.-Y. (Wing-Yee), MacInnis, R. J. (Robert J.), Mannermaa, A. (Arto), Manoochehri, M. (Mehdi), Margolin, S. (Sara), Martinez, M. E. (Maria Elena), McLean, C. (Catriona), Meindl, A. (Alfons), Menon, U. (Usha), Nevanlinna, H. (Heli), Newman, W. G. (William G.), Nodora, J. (Jesse), Offit, K. (Kenneth), Olsson, H. (Hakan), Orr, N. (Nick), Park-Simon, T.-W. (Tjoung-Won), Patel, A. V. (Alpa, V), Peto, J. (Julian), Pita, G. (Guillermo), Plaseska-Karanfilska, D. (Dijana), Prentice, R. (Ross), Punie, K. (Kevin), Pylkas, K. (Katri), Radice, P. (Paolo), Rennert, G. (Gad), Romero, A. (Atocha), Ruediger, T. (Thomas), Saloustros, E. (Emmanouil), Sampson, S. (Sarah), Sandler, D. P. (Dale P.), Sawyer, E. J. (Elinor J.), Schmutzler, R. K. (Rita K.), Schoemaker, M. J. (Minouk J.), Schottker, B. (Ben), Sherman, M. E. (Mark E.), Shu, X.-O. (Xiao-Ou), Smichkoska, S. (Snezhana), Southey, M. C. (Melissa C.), Spinelli, J. J. (John J.), Swerdlow, A. J. (Anthony J.), Tamimi, R. M. (Rulla M.), Tapper, W. J. (William J.), Taylor, J. A. (Jack A.), Teras, L. R. (Lauren R.), Terry, M. B. (Mary Beth), Torres, D. (Diana), Troester, M. A. (Melissa A.), Vachon, C. M. (Celine M.), van Deurzen, C. H. (Carolien H. M.), van Veen, E. M. (Elke M.), Wagner, P. (Philippe), Weinberg, C. R. (Clarice R.), Wendt, C. (Camilla), Wesseling, J. (Jelle), Winqvist, R. (Robert), Wolk, A. (Alicja), Yang, X. R. (Xiaohong R.), Zheng, W. (Wei), Couch, F. J. (Fergus J.), Simard, J. (Jacques), Kraft, P. (Peter), Easton, D. F. (Douglas F.), Pharoah, P. D. (Paul D. P.), Schmidt, M. K. (Marjanka K.), Garcia-Closas, M. (Montserrat), Chatterjee, N. (Nilanjan), Ahearn, T. U. (Thomas U.), Zhang, H. (Haoyu), Michailidou, K. (Kyriaki), Milne, R. L. (Roger L.), Bolla, M. K. (Manjeet K.), Dennis, J. (Joe), Dunning, A. M. (Alison M.), Lush, M. (Michael), Wang, Q. (Qin), Andrulis, I. L. (Irene L.), Anton-Culver, H. (Hoda), Arndt, V. (Volker), Aronson, K. J. (Kristan J.), Auer, P. L. (Paul L.), Augustinsson, A. (Annelie), Baten, A. (Adinda), Becher, H. (Heiko), Behrens, S. (Sabine), Benitez, J. (Javier), Bermisheva, M. (Marina), Blomqvist, C. (Carl), Bojesen, S. E. (Stig E.), Bonanni, B. (Bernardo), Borresen-Dale, A.-L. (Anne-Lise), Brauch, H. (Hiltrud), Brenner, H. (Hermann), Brooks-Wilson, A. (Angela), Bruening, T. (Thomas), Burwinkel, B. (Barbara), Buys, S. S. (Saundra S.), Canzian, F. (Federico), Castelao, J. E. (Jose E.), Chang-Claude, J. (Jenny), Chanock, S. J. (Stephen J.), Chenevix-Trench, G. (Georgia), Clarke, C. L. (Christine L.), Collee, J. M. (J. Margriet), Cox, A. (Angela), Cross, S. S. (Simon S.), Czene, K. (Kamila), Daly, M. B. (Mary B.), Devilee, P. (Peter), Dork, T. (Thilo), Dwek, M. (Miriam), Eccles, D. M. (Diana M.), Evans, D. G. (D. Gareth), Fasching, P. A. (Peter A.), Figueroa, J. (Jonine), Floris, G. (Giuseppe), Gago-Dominguez, M. (Manuela), Gapstur, S. M. (Susan M.), Garcia-Saenz, J. A. (Jose A.), Gaudet, M. M. (Mia M.), Giles, G. G. (Graham G.), Goldberg, M. S. (Mark S.), Gonzalez-Neira, A. (Anna), Alnaes, G. I. (Grethe I. Grenaker), Grip, M. (Mervi), Guenel, P. (Pascal), Haiman, C. A. (Christopher A.), Hall, P. (Per), Hamann, U. (Ute), Harkness, E. F. (Elaine F.), Heemskerk-Gerritsen, B. A. (Bernadette A. M.), Holleczek, B. (Bernd), Hollestelle, A. (Antoinette), Hooning, M. J. (Maartje J.), Hoover, R. N. (Robert N.), Hopper, J. L. (John L.), Howell, A. (Anthony), Jakimovska, M. (Milena), Jakubowska, A. (Anna), John, E. M. (Esther M.), Jones, M. E. (Michael E.), Jung, A. (Audrey), Kaaks, R. (Rudolf), Kauppila, S. (Saila), Keeman, R. (Renske), Khusnutdinova, E. (Elza), Kitahara, C. M. (Cari M.), Ko, Y.-D. (Yon-Dschun), Koutros, S. (Stella), Kristensen, V. N. (Vessela N.), Kruger, U. (Ute), Kubelka-Sabit, K. (Katerina), Kurian, A. W. (Allison W.), Kyriacou, K. (Kyriacos), Lambrechts, D. (Diether), Lee, D. G. (Derrick G.), Lindblom, A. (Annika), Linet, M. (Martha), Lissowska, J. (Jolanta), Llaneza, A. (Ana), Lo, W.-Y. (Wing-Yee), MacInnis, R. J. (Robert J.), Mannermaa, A. (Arto), Manoochehri, M. (Mehdi), Margolin, S. (Sara), Martinez, M. E. (Maria Elena), McLean, C. (Catriona), Meindl, A. (Alfons), Menon, U. (Usha), Nevanlinna, H. (Heli), Newman, W. G. (William G.), Nodora, J. (Jesse), Offit, K. (Kenneth), Olsson, H. (Hakan), Orr, N. (Nick), Park-Simon, T.-W. (Tjoung-Won), Patel, A. V. (Alpa, V), Peto, J. (Julian), Pita, G. (Guillermo), Plaseska-Karanfilska, D. (Dijana), Prentice, R. (Ross), Punie, K. (Kevin), Pylkas, K. (Katri), Radice, P. (Paolo), Rennert, G. (Gad), Romero, A. (Atocha), Ruediger, T. (Thomas), Saloustros, E. (Emmanouil), Sampson, S. (Sarah), Sandler, D. P. (Dale P.), Sawyer, E. J. (Elinor J.), Schmutzler, R. K. (Rita K.), Schoemaker, M. J. (Minouk J.), Schottker, B. (Ben), Sherman, M. E. (Mark E.), Shu, X.-O. (Xiao-Ou), Smichkoska, S. (Snezhana), Southey, M. C. (Melissa C.), Spinelli, J. J. (John J.), Swerdlow, A. J. (Anthony J.), Tamimi, R. M. (Rulla M.), Tapper, W. J. (William J.), Taylor, J. A. (Jack A.), Teras, L. R. (Lauren R.), Terry, M. B. (Mary Beth), Torres, D. (Diana), Troester, M. A. (Melissa A.), Vachon, C. M. (Celine M.), van Deurzen, C. H. (Carolien H. M.), van Veen, E. M. (Elke M.), Wagner, P. (Philippe), Weinberg, C. R. (Clarice R.), Wendt, C. (Camilla), Wesseling, J. (Jelle), Winqvist, R. (Robert), Wolk, A. (Alicja), Yang, X. R. (Xiaohong R.), Zheng, W. (Wei), Couch, F. J. (Fergus J.), Simard, J. (Jacques), Kraft, P. (Peter), Easton, D. F. (Douglas F.), Pharoah, P. D. (Paul D. P.), Schmidt, M. K. (Marjanka K.), Garcia-Closas, M. (Montserrat), and Chatterjee, N. (Nilanjan)

Abstract

Background: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. Methods: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. Results: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. Conclusion: This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.

Published
2022

49. Randomised trial of population-based BRCA testing in Ashkenazi Jews: long-term secondary lifestyle behavioural outcomes.

Author

Burnell, M, Gaba, F, Sobocan, M, Desai, R, Sanderson, S, Loggenberg, K, Gessler, S, Side, L, Brady, AF, Dorkins, H, Wallis, Y, Jacobs, C, Legood, R, Beller, U, Tomlinson, I, Wardle, J, Menon, U, Jacobs, I, Manchanda, R, Burnell, M, Gaba, F, Sobocan, M, Desai, R, Sanderson, S, Loggenberg, K, Gessler, S, Side, L, Brady, AF, Dorkins, H, Wallis, Y, Jacobs, C, Legood, R, Beller, U, Tomlinson, I, Wardle, J, Menon, U, Jacobs, I, and Manchanda, R

Abstract

OBJECTIVE: Ashkenazi-Jewish (AJ) population-based BRCA testing is acceptable, cost-effective and amplifies primary prevention for breast & ovarian cancer. However, data describing lifestyle impact are lacking. We report long-term results of population-based BRCA testing on lifestyle behaviour and cancer risk perception. DESIGN: Two-arm randomised controlled trials (ISRCTN73338115, GCaPPS): (a) population-screening (PS); (b) family history (FH)/clinical criteria testing. SETTING: North London AJ-population. POPULATION/SAMPLE: AJ women/men >18 years. EXCLUSIONS: prior BRCA testing or first-degree relatives of BRCA-carriers. METHODS: Participants were recruited through self-referral. All participants received informed pre-test genetic counselling. The intervention included genetic testing for three AJ BRCA-mutations: 185delAG(c.68_69delAG), 5382insC(c.5266dupC) and 6174delT(c.5946delT). This was undertaken for all participants in the PS arm and participants fulfilling FH/clinical criteria in the FH arm. Patients filled out customised/validated questionnaires at baseline/1-year/2-year/3-year follow-ups. Generalised linear-mixed models adjusted for covariates and appropriate contrast tests were used for between-group/within-group analysis of lifestyle and behavioural outcomes along with evaluating factors associated with these outcomes. Outcomes are adjusted for multiple testing (Bonferroni method), with P < 0.0039 considered significant. OUTCOME MEASURES: Lifestyle/behavioural outcomes at baseline/1-year/2-year/3-year follow-ups. RESULTS: 1034 participants were randomised to PS (n = 530) or FH (n = 504) arms. No significant difference was identified between PS- and FH-based BRCA testing approaches in terms of dietary fruit/vegetable/meat consumption, vitamin intake, alcohol quantity/ frequency, smoking behaviour (frequency/cessation), physical activity/exercise or routine breast mammogram screening behaviour, with outcomes not affected by BRCA test result. Cancer risk p

Published
2022

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