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1. European experts consensus: BRCA/homologous recombination deficiency testing in first-line ovarian cancer

Author: Vergote, I., Ausems, M., Brasiuniene, B., Brenton, J., Büttner, R., Colombo, N., González-Martín, A., Harter, P., Lambrechts, D., Lorusso, D., Madry, R., Mirza, M.R., Pujol, P., Ray-Coquard, I., Abreu, M., Balboni, S., Banerjee, S., Barberis, M., Barretina Ginesta, M.P., Baurain, J.-F., Bignami, M., Bjorge, L., Blecharz, P., Bruchim, I., Capilna, M., Cerana, N., Cicchetti, A., Collins, D., Concin, N., D’Incalci, M., Davidson, B., de la Motte Rouge, T., De Iaco, P., Demirkiran, F., Denys, H., Doerk, T., Dorum, A., Ferrero, A., Fidalgo, A.P., Genuardi, M., Gladieff, L., Glasspool, R., Grimm, C., Gultekin, M., Hahnen, E., Hasenburg, A., Hegmane, A., Heinzelmann, V., Hogdall, E., Janavicius, R., Jarmalaite, S., Kalachand, R., Kaneva, R., Kilickap, S., Kocian, R., Kolencik, D., Kristeleit, R., Kryzhanivska, A., Leary, A., Lemley, B., Ligtenberg, M., López-Guerrero, J.A., Lord, C.J., Avall-Lundqvist, E., Maenpaa, J., Mahner, S., Marmé, F., Marth, C., McNeish, I., Merkelbach-Bruse, S., Mourits, M., Normanno, N., Oaknin, A., Ojamaa, K., Papdimitriou, C., Penault-Llorca, F., Perrone, A.M., Pignata, S., Pikarsky, E., Rouleau, E., Rubio, M., Sapino, A., Schmalfeldt, B., Sehouli, J., Shapira, R., Steffensen, K.D., Sukhin, V., Syrios, J., Szallasi, Z., Taskiran, C., Terzic, M., Tischkowitz, M., Toth, I., Van de Vijver, K., Vardar, M.A., Wasag, B., Wimberger, P., Witteveen, E., Brenton, J.D., and Ausems, M.G.E.M.
Published: 2022
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2. Single-cell trajectory analysis reveals distinct differentiation of epithelial cells highlighting a more aggressive phenotype in HPV-negative and TP53 mutated penile cancer

Author: Elst, L., primary, Philips, G., additional, Bassez, A., additional, Vandermaesen, K., additional, Boeckx, B., additional, Spans, L., additional, Vanden Bempt, I., additional, Jacomen, G., additional, Van Rompuy, A-S., additional, Baldewijns, M., additional, Lambrechts, D., additional, and Albersen, M., additional
Published: 2024
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3. Understanding the genetic complexity of puberty timing across the allele frequency spectrum

Author: Kentistou, KA, Kaisinger, LR, Stankovic, S, Vaudel, M, Mendes de Oliveira, E, Messina, A, Walters, RG, Liu, X, Busch, AS, Helgason, H, Thompson, DJ, Santoni, F, Petricek, KM, Zouaghi, Y, Huang-Doran, I, Gudbjartsson, DF, Bratland, E, Lin, K, Gardner, EJ, Zhao, Y, Jia, RY, Terao, C, Riggan, MJ, Bolla, MK, Yazdanpanah, M, Yazdanpanah, N, Bradfield, JP, Broer, L, Campbell, A, Chasman, DI, Cousminer, DL, Franceschini, N, Franke, LH, Girotto, G, He, C, Järvelin, M-R, Joshi, PK, Kamatani, Y, Karlsson, R, Luan, J, Lunetta, KL, Mägi, R, Mangino, M, Medland, SE, Meisinger, C, Noordam, R, Nutile, T, Concas, MP, Polašek, O, Porcu, E, Ring, SM, Sala, C, Smith, AV, Tanaka, T, van der Most, PJ, Vitart, V, Wang, CA, Willemsen, G, Zygmunt, M, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Auer, PL, Barnes, CLK, Beckmann, MW, Berrington de Gonzalez, A, Bogdanova, NV, Bojesen, SE, Brenner, H, Buring, JE, Canzian, F, Chang-Claude, J, Couch, FJ, Cox, A, Crisponi, L, Czene, K, Daly, MB, Demerath, EW, Dennis, J, Devilee, P, De Vivo, I, Dörk, T, Dunning, AM, Dwek, M, Eriksson, JG, Fasching, PA, Fernandez-Rhodes, L, Ferreli, L, Fletcher, O, Gago-Dominguez, M, García-Closas, M, García-Sáenz, JA, González-Neira, A, Grallert, H, Guénel, P, Haiman, CA, Hall, P, Hamann, U, Hakonarson, H, Hart, RJ, Hickey, M, Hooning, MJ, Hoppe, R, Hopper, JL, Hottenga, J-J, Hu, FB, Huebner, H, Hunter, DJ, ABCTB Investigators, Jernström, H, John, EM, Karasik, D, Khusnutdinova, EK, Kristensen, VN, Lacey, JV, Lambrechts, D, Launer, LJ, Lind, PA, Lindblom, A, Magnusson, PKE, Mannermaa, A, McCarthy, MI, Meitinger, T, Menni, C, Michailidou, K, Millwood, IY, Milne, RL, Montgomery, GW, Nevanlinna, H, Nolte, IM, Nyholt, DR, Obi, N, O'Brien, KM, Offit, K, Oldehinkel, AJ, Ostrowski, SR, Palotie, A, Pedersen, OB, Peters, A, Pianigiani, G, Plaseska-Karanfilska, D, Pouta, A, Pozarickij, A, Radice, P, Rennert, G, Rosendaal, FR, Ruggiero, D, Saloustros, E, Sandler, DP, Schipf, S, Schmidt, CO, Schmidt, MK, Small, K, Spedicati, B, Stampfer, M, Stone, J, Tamimi, RM, Teras, LR, Tikkanen, E, Turman, C, Vachon, CM, Wang, Q, Winqvist, R, Wolk, A, Zemel, BS, Zheng, W, van Dijk, KW, Alizadeh, BZ, Bandinelli, S, Boerwinkle, E, Boomsma, DI, Ciullo, M, Chenevix-Trench, G, Cucca, F, Esko, T, Gieger, C, Grant, SFA, Gudnason, V, Hayward, C, Kolčić, I, Kraft, P, Lawlor, DA, Martin, NG, Nøhr, EA, Pedersen, NL, Pennell, CE, Ridker, PM, Robino, A, Snieder, H, Sovio, U, Spector, TD, Stöckl, D, Sudlow, C, Timpson, NJ, Toniolo, D, Uitterlinden, A, Ulivi, S, Völzke, H, Wareham, NJ, Widen, E, Wilson, JF, Lifelines Cohort Study, Danish Blood Donor Study, Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, Pharoah, PDP, Li, L, Easton, DF, Njølstad, PR, Sulem, P, Murabito, JM, Murray, A, Manousaki, D, Juul, A, Erikstrup, C, Stefansson, K, Horikoshi, M, Chen, Z, Farooqi, IS, Pitteloud, N, Johansson, S, Day, FR, Perry, JRB, Ong, KK, Kentistou, KA, Kaisinger, LR, Stankovic, S, Vaudel, M, Mendes de Oliveira, E, Messina, A, Walters, RG, Liu, X, Busch, AS, Helgason, H, Thompson, DJ, Santoni, F, Petricek, KM, Zouaghi, Y, Huang-Doran, I, Gudbjartsson, DF, Bratland, E, Lin, K, Gardner, EJ, Zhao, Y, Jia, RY, Terao, C, Riggan, MJ, Bolla, MK, Yazdanpanah, M, Yazdanpanah, N, Bradfield, JP, Broer, L, Campbell, A, Chasman, DI, Cousminer, DL, Franceschini, N, Franke, LH, Girotto, G, He, C, Järvelin, M-R, Joshi, PK, Kamatani, Y, Karlsson, R, Luan, J, Lunetta, KL, Mägi, R, Mangino, M, Medland, SE, Meisinger, C, Noordam, R, Nutile, T, Concas, MP, Polašek, O, Porcu, E, Ring, SM, Sala, C, Smith, AV, Tanaka, T, van der Most, PJ, Vitart, V, Wang, CA, Willemsen, G, Zygmunt, M, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Auer, PL, Barnes, CLK, Beckmann, MW, Berrington de Gonzalez, A, Bogdanova, NV, Bojesen, SE, Brenner, H, Buring, JE, Canzian, F, Chang-Claude, J, Couch, FJ, Cox, A, Crisponi, L, Czene, K, Daly, MB, Demerath, EW, Dennis, J, Devilee, P, De Vivo, I, Dörk, T, Dunning, AM, Dwek, M, Eriksson, JG, Fasching, PA, Fernandez-Rhodes, L, Ferreli, L, Fletcher, O, Gago-Dominguez, M, García-Closas, M, García-Sáenz, JA, González-Neira, A, Grallert, H, Guénel, P, Haiman, CA, Hall, P, Hamann, U, Hakonarson, H, Hart, RJ, Hickey, M, Hooning, MJ, Hoppe, R, Hopper, JL, Hottenga, J-J, Hu, FB, Huebner, H, Hunter, DJ, ABCTB Investigators, Jernström, H, John, EM, Karasik, D, Khusnutdinova, EK, Kristensen, VN, Lacey, JV, Lambrechts, D, Launer, LJ, Lind, PA, Lindblom, A, Magnusson, PKE, Mannermaa, A, McCarthy, MI, Meitinger, T, Menni, C, Michailidou, K, Millwood, IY, Milne, RL, Montgomery, GW, Nevanlinna, H, Nolte, IM, Nyholt, DR, Obi, N, O'Brien, KM, Offit, K, Oldehinkel, AJ, Ostrowski, SR, Palotie, A, Pedersen, OB, Peters, A, Pianigiani, G, Plaseska-Karanfilska, D, Pouta, A, Pozarickij, A, Radice, P, Rennert, G, Rosendaal, FR, Ruggiero, D, Saloustros, E, Sandler, DP, Schipf, S, Schmidt, CO, Schmidt, MK, Small, K, Spedicati, B, Stampfer, M, Stone, J, Tamimi, RM, Teras, LR, Tikkanen, E, Turman, C, Vachon, CM, Wang, Q, Winqvist, R, Wolk, A, Zemel, BS, Zheng, W, van Dijk, KW, Alizadeh, BZ, Bandinelli, S, Boerwinkle, E, Boomsma, DI, Ciullo, M, Chenevix-Trench, G, Cucca, F, Esko, T, Gieger, C, Grant, SFA, Gudnason, V, Hayward, C, Kolčić, I, Kraft, P, Lawlor, DA, Martin, NG, Nøhr, EA, Pedersen, NL, Pennell, CE, Ridker, PM, Robino, A, Snieder, H, Sovio, U, Spector, TD, Stöckl, D, Sudlow, C, Timpson, NJ, Toniolo, D, Uitterlinden, A, Ulivi, S, Völzke, H, Wareham, NJ, Widen, E, Wilson, JF, Lifelines Cohort Study, Danish Blood Donor Study, Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, Pharoah, PDP, Li, L, Easton, DF, Njølstad, PR, Sulem, P, Murabito, JM, Murray, A, Manousaki, D, Juul, A, Erikstrup, C, Stefansson, K, Horikoshi, M, Chen, Z, Farooqi, IS, Pitteloud, N, Johansson, S, Day, FR, Perry, JRB, and Ong, KK
Abstract: Pubertal timing varies considerably and is associated with later health outcomes. We performed multi-ancestry genetic analyses on ~800,000 women, identifying 1,080 signals for age at menarche. Collectively, these explained 11% of trait variance in an independent sample. Women at the top and bottom 1% of polygenic risk exhibited ~11 and ~14-fold higher risks of delayed and precocious puberty, respectively. We identified several genes harboring rare loss-of-function variants in ~200,000 women, including variants in ZNF483, which abolished the impact of polygenic risk. Variant-to-gene mapping approaches and mouse gonadotropin-releasing hormone neuron RNA sequencing implicated 665 genes, including an uncharacterized G-protein-coupled receptor, GPR83, which amplified the signaling of MC3R, a key nutritional sensor. Shared signals with menopause timing at genes involved in DNA damage response suggest that the ovarian reserve might signal centrally to trigger puberty. We also highlight body size-dependent and independent mechanisms that potentially link reproductive timing to later life disease.
Published: 2024

4. Lower respiratory tract single-cell RNA sequencing and neutrophil extracellular trap profiling of COVID-19-associated pulmonary aspergillosis: a single centre, retrospective, observational study

Author: Feys, S., Vanmassenhove, S., Kraisin, S., Yu, K., Jacobs, Cato, Boeckx, B., Cambier, S., Cunha, C., Debaveye, Y., Gonçalves, S.M., Hermans, G., Humblet-Baron, S., Jansen, Sander, Lagrou, K., Meersseman, P., Neyts, J., Peetermans, M., Rocha-Pereira, J., Schepers, R., Spalart, V., Starick, M.R., Thevissen, K., Brussel, T. van, Buyten, T. Van, Mol, P. Van, Vandenbriele, C., Vanderbeke, L., Wauters, E., Wilmer, A., Weyenbergh, J. Van, Veerdonk, F.L. van de, Carvalho, A., Proost, P., Martinod, K., Lambrechts, D., Wauters, J., Feys, S., Vanmassenhove, S., Kraisin, S., Yu, K., Jacobs, Cato, Boeckx, B., Cambier, S., Cunha, C., Debaveye, Y., Gonçalves, S.M., Hermans, G., Humblet-Baron, S., Jansen, Sander, Lagrou, K., Meersseman, P., Neyts, J., Peetermans, M., Rocha-Pereira, J., Schepers, R., Spalart, V., Starick, M.R., Thevissen, K., Brussel, T. van, Buyten, T. Van, Mol, P. Van, Vandenbriele, C., Vanderbeke, L., Wauters, E., Wilmer, A., Weyenbergh, J. Van, Veerdonk, F.L. van de, Carvalho, A., Proost, P., Martinod, K., Lambrechts, D., and Wauters, J.
Abstract: Contains fulltext : 304846.pdf (Publisher’s version ) (Open Access), BACKGROUND: COVID-19-associated pulmonary aspergillosis (CAPA) is a severe superinfection with the fungus Aspergillus affecting patients who are critically ill with COVID-19. The pathophysiology and the role of neutrophil extracellular traps (NETs) in this infection are largely unknown. We aimed to characterise the immune profile, with a focus on neutrophils and NET concentrations, of critically ill patients with COVID-19, with or without CAPA. METHODS: We conducted a single-centre, retrospective, observational study in two patient cohorts, both recruited at University Hospitals Leuven, Belgium. We included adults aged 18 years or older who were admitted to the intensive care unit because of COVID-19 between March 31, 2020, and May 18, 2021, and who were included in the previous Contagious trial (NCT04327570). We investigated the immune cellular landscape of CAPA versus COVID-19 only by performing single-cell RNA sequencing (scRNA-seq) on bronchoalveolar lavage fluid. Bronchoalveolar lavage immune cell fractions were compared between patients with CAPA and patients with COVID-19 only. Additionally, we determined lower respiratory tract NET concentrations using biochemical assays in patients aged 18 years and older who were admitted to the intensive care unit because of severe COVID-19 between March 15, 2020, and Dec 31, 2021, for whom bronchoalveolar lavage was available in the hospital biobank. Bronchoalveolar lavage NET concentrations were compared between patients with CAPA and patients with COVID-19 only and integrated with existing data on immune mediators in bronchoalveolar lavage and 90-day mortality. FINDINGS: We performed scRNA-seq of bronchoalveolar lavage on 43 samples from 39 patients, of whom 36 patients (30 male and six female; 14 with CAPA) were included in downstream analyses. We performed bronchoalveolar lavage NET analyses in 59 patients (46 male and 13 female), of whom 26 had CAPA. By scRNA-seq, patients with CAPA had significantly lower neutrophi
Published: 2024

5. PARP inhibitor predictive value of the Leuven HRD test compared with Myriad MyChoice CDx PLUS HRD on 468 ovarian cancer patients from the PAOLA-1/ENGOT-ov25 trial

Author: Loverix L., Vergote I., Busschaert P., Vanderstichele A., Venken T., Boeckx B., Harter P., Brems H., Van Nieuwenhuysen E., Pignata S., Baert T., Gonzalez-Martin A., Han S., Marth C., Neven P., Colombo N., Berteloot P., Mäenpää J., Olbrecht S., Laga T., Sablon E., Ray-Coquard I., Pujade-Lauraine E., Lambrechts D., Van Gorp T., Loverix, L, Vergote, I, Busschaert, P, Vanderstichele, A, Venken, T, Boeckx, B, Harter, P, Brems, H, Van Nieuwenhuysen, E, Pignata, S, Baert, T, Gonzalez-Martin, A, Han, S, Marth, C, Neven, P, Colombo, N, Berteloot, P, Mäenpää, J, Olbrecht, S, Laga, T, Sablon, E, Ray-Coquard, I, Pujade-Lauraine, E, Lambrechts, D, and Van Gorp, T
Subjects: Targeted therapy, Cancer Research, PARP inhibitor, Oncology, Ovarian cancer, HRD testing, Leuven HRD test
Abstract: Background: The PAOLA-1/ENGOT-ov25 trial showed improved progression-free (PFS) and overall survival (OS) in homologous recombination deficient (HRD) positive patients treated with olaparib, but not when HRD negative (HRD tested with MyChoice CDx PLUS [Myriad test]). Patients and methods: The academic Leuven HRD test consists of capture-based targeted sequencing of genome-wide single-nucleotide polymorphisms and coding exons of eight HR genes including BRCA1, BRCA2, and TP53. We compared the predictive value of the Leuven HRD versus Myriad HRD test for PFS and OS in the randomised PAOLA-1 trial. Results: 468 patients had left-over DNA after Myriad testing for Leuven HRD testing. Positive/negative/overall percent agreement for the Leuven versus Myriad HRD status was 95%/86%/91%, respectively. Tumours were HRD+ in 55% and 52%, respectively. In Leuven HRD+ patients, 5 years PFS (5yPFS) was 48.6% versus 20.3% (HR 0.431; 95% confidence intervals (CI) 0.312–0.595) for olaparib versus placebo, respectively (Myriad test 0.409; 95% CI 0.292–0.572). In Leuven HRD+/BRCAwt patients 5yPFS was 41.3% versus 12.6% (HR 0.497; 95% CI 0.316–0.783), and 43.6% versus 13.3% (HR 0.435; 95% CI 0.261–0.727) for the Myriad test. 5yOS was prolonged in the HRD+ subgroup with both tests 67.2% versus 54.4% (HR 0.663; 95% CI 0.442–0.995) for the Leuven test, and 68.0% versus 51.8% (HR 0.596 95% CI 0.393–0.904) for the Myriad test. HRD status was undetermined in 10.7% and 9.4% of the samples, respectively. Conclusions: A robust correlation between the Leuven HRD and Myriad test was observed. For HRD+ tumours, the academic Leuven HRD showed a similar difference in PFS and OS as the Myriad test.
Published: 2023

6. High dose Vitamin D supplementation does not improve outcome in a cutaneous melanoma population: results of randomized a double-blind, placebo-controlled study (ViDMe trial)

Author: De Smedt, J., primary, Van Kelst, S., additional, Janssen, L., additional, Marasigan, V., additional, Boecxstaens, V., additional, Bogaerts, K., additional, Belmans, A., additional, Vanderschueren, D., additional, Vandenberghe, K., additional, Bechter, O., additional, Aura, C., additional, Lambrechts, D., additional, Strobbe, T., additional, Emri, G., additional, Nikkels, A., additional, and Garmyn, M., additional
Published: 2024
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7. 163MO Single-cell T cell dynamics induced by neoadjuvant nivolumab +/- ipilimumab in early triple negative breast cancer with tumor-infiltrating lymphocytes (BELLINI trial)

Author: Isaeva, O.I., primary, Nederlof, I., additional, de Graaf, M., additional, Boeckx, B., additional, Traets, J., additional, Mandjes, I.A.M., additional, Van De Vijver, K., additional, Chelushkin, M., additional, Drukker, C., additional, Dongen, M.V., additional, Sonke, G.S., additional, Linn, S.C., additional, Blank, C.U., additional, de Visser, K.E., additional, Salgado, R.F., additional, Wessels, L.F.A., additional, Schumacher, T.N., additional, Horlings, H.M., additional, Lambrechts, D., additional, and Kok, M., additional
Published: 2023
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8. 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

9. Monocyte-driven atypical cytokine storm and aberrant neutrophil activation as key mediators of COVID-19 disease severity

Author: Vanderbeke, L., Van Mol, P., Van Herck, Y., De Smet, F., Humblet-Baron, S., Martinod, K., Antoranz, A., Arijs, I., Boeckx, B., Bosisio, F. M., Casaer, M., Dauwe, D., De Wever, W., Dooms, C., Dreesen, E., Emmaneel, A., Filtjens, J., Gouwy, M., Gunst, J., Hermans, G., Jansen, S., Lagrou, K., Liston, A., Lorent, N., Meersseman, P., Mercier, T., Neyts, J., Odent, J., Panovska, D., Penttila, P. A., Pollet, E., Proost, P., Qian, J., Quintelier, K., Raes, J., Rex, S., Saeys, Y., Sprooten, J., Tejpar, S., Testelmans, D., Thevissen, K., Van Buyten, T., Vandenhaute, J., Van Gassen, S., Velásquez Pereira, L. C., Vos, R., Weynand, B., Wilmer, A., Yserbyt, J., Garg, A. D., Matthys, P., Wouters, C., Lambrechts, D., Wauters, E., and Wauters, J.
Published: 2021
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10. PARP inhibitor predictive value of the Leuven HRD test compared with Myriad MyChoice CDx PLUS HRD on 468 ovarian cancer patients from the PAOLA-1/ENGOT-ov25 trial

Author: Loverix, L, Vergote, I, Busschaert, P, Vanderstichele, A, Venken, T, Boeckx, B, Harter, P, Brems, H, Van Nieuwenhuysen, E, Pignata, S, Baert, T, Gonzalez-Martin, A, Han, S, Marth, C, Neven, P, Colombo, N, Berteloot, P, Mäenpää, J, Olbrecht, S, Laga, T, Sablon, E, Ray-Coquard, I, Pujade-Lauraine, E, Lambrechts, D, Van Gorp, T, Loverix L., Vergote I., Busschaert P., Vanderstichele A., Venken T., Boeckx B., Harter P., Brems H., Van Nieuwenhuysen E., Pignata S., Baert T., Gonzalez-Martin A., Han S., Marth C., Neven P., Colombo N., Berteloot P., Mäenpää J., Olbrecht S., Laga T., Sablon E., Ray-Coquard I., Pujade-Lauraine E., Lambrechts D., Van Gorp T., Loverix, L, Vergote, I, Busschaert, P, Vanderstichele, A, Venken, T, Boeckx, B, Harter, P, Brems, H, Van Nieuwenhuysen, E, Pignata, S, Baert, T, Gonzalez-Martin, A, Han, S, Marth, C, Neven, P, Colombo, N, Berteloot, P, Mäenpää, J, Olbrecht, S, Laga, T, Sablon, E, Ray-Coquard, I, Pujade-Lauraine, E, Lambrechts, D, Van Gorp, T, Loverix L., Vergote I., Busschaert P., Vanderstichele A., Venken T., Boeckx B., Harter P., Brems H., Van Nieuwenhuysen E., Pignata S., Baert T., Gonzalez-Martin A., Han S., Marth C., Neven P., Colombo N., Berteloot P., Mäenpää J., Olbrecht S., Laga T., Sablon E., Ray-Coquard I., Pujade-Lauraine E., Lambrechts D., and Van Gorp T.
Abstract: Background: The PAOLA-1/ENGOT-ov25 trial showed improved progression-free (PFS) and overall survival (OS) in homologous recombination deficient (HRD) positive patients treated with olaparib, but not when HRD negative (HRD tested with MyChoice CDx PLUS [Myriad test]). Patients and methods: The academic Leuven HRD test consists of capture-based targeted sequencing of genome-wide single-nucleotide polymorphisms and coding exons of eight HR genes including BRCA1, BRCA2, and TP53. We compared the predictive value of the Leuven HRD versus Myriad HRD test for PFS and OS in the randomised PAOLA-1 trial. Results: 468 patients had left-over DNA after Myriad testing for Leuven HRD testing. Positive/negative/overall percent agreement for the Leuven versus Myriad HRD status was 95%/86%/91%, respectively. Tumours were HRD+ in 55% and 52%, respectively. In Leuven HRD+ patients, 5 years PFS (5yPFS) was 48.6% versus 20.3% (HR 0.431; 95% confidence intervals (CI) 0.312–0.595) for olaparib versus placebo, respectively (Myriad test 0.409; 95% CI 0.292–0.572). In Leuven HRD+/BRCAwt patients 5yPFS was 41.3% versus 12.6% (HR 0.497; 95% CI 0.316–0.783), and 43.6% versus 13.3% (HR 0.435; 95% CI 0.261–0.727) for the Myriad test. 5yOS was prolonged in the HRD+ subgroup with both tests 67.2% versus 54.4% (HR 0.663; 95% CI 0.442–0.995) for the Leuven test, and 68.0% versus 51.8% (HR 0.596 95% CI 0.393–0.904) for the Myriad test. HRD status was undetermined in 10.7% and 9.4% of the samples, respectively. Conclusions: A robust correlation between the Leuven HRD and Myriad test was observed. For HRD+ tumours, the academic Leuven HRD showed a similar difference in PFS and OS as the Myriad test.
Published: 2023

11. Obesity and survival among women with ovarian cancer: results from the Ovarian Cancer Association Consortium

Author: Nagle, CM, Dixon, SC, Jensen, A, Kjaer, SK, Modugno, F, deFazio, A, Fereday, S, Hung, J, Johnatty, SE, Fasching, PA, Beckmann, MW, Lambrechts, D, Vergote, I, Van Nieuwenhuysen, E, Lambrechts, S, Risch, HA, Rossing, MA, Doherty, JA, Wicklund, KG, Chang-Claude, J, Goodman, MT, Ness, RB, Moysich, K, Heitz, F, du Bois, A, Harter, P, Schwaab, I, Matsuo, K, Hosono, S, Goode, EL, Vierkant, RA, Larson, MC, Fridley, BL, Høgdall, C, Schildkraut, JM, Weber, RP, Cramer, DW, Terry, KL, Bandera, EV, Paddock, L, Rodriguez-Rodriguez, L, Wentzensen, N, Yang, HP, Brinton, LA, Lissowska, J, Høgdall, E, Lundvall, L, Whittemore, A, McGuire, V, Sieh, W, Rothstein, J, Sutphen, R, Anton-Culver, H, Ziogas, A, Pearce, CL, Wu, AH, and Webb, PM
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Prevention, Nutrition, Ovarian Cancer, Obesity, Rare Diseases, Cancer, Body Mass Index, Carcinoma, Ovarian Epithelial, Disease-Free Survival, Female, Humans, Kaplan-Meier Estimate, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, ovarian cancer, obesity, overall survival, progression-free survival, ovarian cancer-specific survival, Australian Ovarian Cancer Study Group, Ovarian Cancer Association Consortium, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract: BackgroundObservational studies have reported a modest association between obesity and risk of ovarian cancer; however, whether it is also associated with survival and whether this association varies for the different histologic subtypes are not clear. We undertook an international collaborative analysis to assess the association between body mass index (BMI), assessed shortly before diagnosis, progression-free survival (PFS), ovarian cancer-specific survival and overall survival (OS) among women with invasive ovarian cancer.MethodsWe used original data from 21 studies, which included 12 390 women with ovarian carcinoma. We combined study-specific adjusted hazard ratios (HRs) using random-effects models to estimate pooled HRs (pHR). We further explored associations by histologic subtype.ResultsOverall, 6715 (54%) deaths occurred during follow-up. A significant OS disadvantage was observed for women who were obese (BMI: 30-34.9, pHR: 1.10 (95% confidence intervals (CIs): 0.99-1.23); BMI: ⩾35, pHR: 1.12 (95% CI: 1.01-1.25)). Results were similar for PFS and ovarian cancer-specific survival. In analyses stratified by histologic subtype, associations were strongest for women with low-grade serous (pHR: 1.12 per 5 kg m(-2)) and endometrioid subtypes (pHR: 1.08 per 5 kg m(-2)), and more modest for the high-grade serous (pHR: 1.04 per 5 kg m(-2)) subtype, but only the association with high-grade serous cancers was significant.ConclusionsHigher BMI is associated with adverse survival among the majority of women with ovarian cancer.
Published: 2015

12. CYP2D6 Genotype and Adjuvant Tamoxifen: Meta‐Analysis of Heterogeneous Study Populations

Author: Province, MA, Goetz, MP, Brauch, H, Flockhart, DA, Hebert, JM, Whaley, R, Suman, VJ, Schroth, W, Winter, S, Zembutsu, H, Mushiroda, T, Newman, WG, Lee, M‐T M, Ambrosone, CB, Beckmann, MW, Choi, J‐Y, Dieudonné, A‐S, Fasching, PA, Ferraldeschi, R, Gong, L, Haschke‐Becher, E, Howell, A, Jordan, LB, Hamann, U, Kiyotani, K, Krippl, P, Lambrechts, D, Latif, A, Langsenlehner, U, Lorizio, W, Neven, P, Nguyen, AT, Park, B‐W, Purdie, CA, Quinlan, P, Renner, W, Schmidt, M, Schwab, M, Shin, J‐G, Stingl, JC, Wegman, P, Wingren, S, Wu, AHB, Ziv, E, Zirpoli, G, Thompson, AM, Jordan, VC, Nakamura, Y, Altman, RB, Ames, MM, Weinshilboum, RM, Eichelbaum, M, Ingle, JN, Klein, TE, and Consortium, International Tamoxifen Pharmacogenomics
Subjects: Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Breast Cancer, Women's Health, Estrogen, Aging, Cancer, Evaluation of treatments and therapeutic interventions, 6.1 Pharmaceuticals, Aged, Antineoplastic Agents, Hormonal, Breast Neoplasms, Cytochrome P-450 CYP2D6, Female, Genetic Variation, Genotype, Humans, Menopause, Middle Aged, Pharmacogenetics, Survival Analysis, Tamoxifen, Treatment Outcome, International Tamoxifen Pharmacogenomics Consortium, Pharmacology & Pharmacy, Pharmacology and pharmaceutical sciences
Abstract: The International Tamoxifen Pharmacogenomics Consortium was established to address the controversy regarding cytochrome P450 2D6 (CYP2D6) status and clinical outcomes in tamoxifen therapy. We performed a meta-analysis on data from 4,973 tamoxifen-treated patients (12 globally distributed sites). Using strict eligibility requirements (postmenopausal women with estrogen receptor-positive breast cancer, receiving 20 mg/day tamoxifen for 5 years, criterion 1); CYP2D6 poor metabolizer status was associated with poorer invasive disease-free survival (IDFS: hazard ratio = 1.25; 95% confidence interval = 1.06, 1.47; P = 0.009). However, CYP2D6 status was not statistically significant when tamoxifen duration, menopausal status, and annual follow-up were not specified (criterion 2, n = 2,443; P = 0.25) or when no exclusions were applied (criterion 3, n = 4,935; P = 0.38). Although CYP2D6 is a strong predictor of IDFS using strict inclusion criteria, because the results are not robust to inclusion criteria (these were not defined a priori), prospective studies are necessary to fully establish the value of CYP2D6 genotyping in tamoxifen therapy.
Published: 2014

13. Evidence of Gene-Environment Interactions between Common Breast Cancer Susceptibility Loci and Established Environmental Risk Factors

Author: Nickels, S, Truong, T, Hein, R, Stevens, K, Buck, K, Behrens, S, Eilber, U, Schmidt, M, Häberle, L, Vrieling, A, Gaudet, M, Figueroa, J, Schoof, N, Spurdle, AB, Rudolph, A, Fasching, PA, Hopper, JL, Makalic, E, Schmidt, DF, Southey, MC, Beckmann, MW, Ekici, AB, Fletcher, O, Gibson, L, dos Santos Silva, I, Peto, J, Humphreys, MK, Wang, J, Cordina-Duverger, E, Menegaux, F, Nordestgaard, BG, Bojesen, SE, Lanng, C, Anton-Culver, H, Ziogas, A, Bernstein, L, Clarke, CA, Brenner, H, Müller, H, Arndt, V, Stegmaier, C, Brauch, H, Brüning, T, Harth, V, Mannermaa, A, Kataja, V, Kosma, VM, Hartikainen, JM, Lambrechts, D, Smeets, D, Neven, P, Paridaens, R, Flesch-Janys, D, Obi, N, Wang-Gohrke, S, Couch, FJ, Olson, JE, Vachon, CM, Giles, GG, Severi, G, Baglietto, L, Offit, K, John, EM, Miron, A, Andrulis, IL, Knight, JA, Glendon, G, Mulligan, AM, Chanock, SJ, Lissowska, J, Liu, J, Cox, A, Cramp, H, Connley, D, Balasubramanian, S, Dunning, AM, Shah, M, Trentham-Dietz, A, Newcomb, P, Titus, L, Egan, K, Cahoon, EK, and Rajaraman, P
Abstract: Various common genetic susceptibility loci have been identified for breast cancer; however, it is unclear how they combine with lifestyle/environmental risk factors to influence risk. We undertook an international collaborative study to assess gene-environment interaction for risk of breast cancer. Data from 24 studies of the Breast Cancer Association Consortium were pooled. Using up to 34,793 invasive breast cancers and 41,099 controls, we examined whether the relative risks associated with 23 single nucleotide polymorphisms were modified by 10 established environmental risk factors (age at menarche, parity, breastfeeding, body mass index, height, oral contraceptive use, menopausal hormone therapy use, alcohol consumption, cigarette smoking, physical activity) in women of European ancestry. We used logistic regression models stratified by study and adjusted for age and performed likelihood ratio tests to assess gene-environment interactions. All statistical tests were two-sided. We replicated previously reported potential interactions between LSP1-rs3817198 and parity (Pinteraction= 2.4×10-6) and between CASP8-rs17468277 and alcohol consumption (Pinteraction= 3.1×10-4). Overall, the per-allele odds ratio (95% confidence interval) for LSP1-rs3817198 was 1.08 (1.01-1.16) in nulliparous women and ranged from 1.03 (0.96-1.10) in parous women with one birth to 1.26 (1.16-1.37) in women with at least four births. For CASP8-rs17468277, the per-allele OR was 0.91 (0.85-0.98) in those with an alcohol intake of
Published: 2013

14. Assessing interactions between the associations of common genetic susceptibility variants, reproductive history and body mass index with breast cancer risk in the breast cancer association consortium: A combined case-control study

Author: Milne, RL, Gaudet, MM, Spurdle, AB, Fasching, PA, Couch, FJ, Benítez, J, Arias Pérez, JI, Zamora, MP, Malats, N, dos Santos Silva, I, Gibson, LJ, Fletcher, O, Johnson, N, Anton-Culver, H, Ziogas, A, Figueroa, J, Brinton, L, Sherman, ME, Lissowska, J, Hopper, JL, Dite, GS, Apicella, C, Southey, MC, Sigurdson, AJ, Linet, MS, Schonfeld, SJ, Freedman, DM, Mannermaa, A, Kosma, VM, Kataja, V, Auvinen, P, Andrulis, IL, Glendon, G, Knight, JA, Weerasooriya, N, Cox, A, Reed, MWR, Cross, SS, Dunning, AM, Ahmed, S, Shah, M, Brauch, H, Ko, YD, Brüning, T, Lambrechts, D, Reumers, J, Smeets, A, Wang-Gohrke, S, Hall, P, Czene, K, Liu, J, Irwanto, AK, Chenevix-Trench, G, Holland, H, Fab, KC, Giles, GG, Baglietto, L, Severi, G, Bojensen, SE, Nordestgaard, BG, Flyger, H, John, EM, West, DW, Whittemore, AS, Vachon, C, Olson, JE, Fredericksen, Z, Kosel, M, Hein, R, Vrieling, A, Flesch-Janys, D, Heinz, J, Beckmann, MW, Heusinger, K, Ekici, AB, Haeberle, L, Humphreys, MK, Morrison, J, Easton, DF, and Pharoah, PD
Abstract: Introduction: Several common breast cancer genetic susceptibility variants have recently been identified. We aimed to determine how these variants combine with a subset of other known risk factors to influence breast cancer risk in white women of European ancestry using case-control studies participating in the Breast Cancer Association Consortium.Methods: We evaluated two-way interactions between each of age at menarche, ever having had a live birth, number of live births, age at first birth and body mass index (BMI) and each of 12 single nucleotide polymorphisms (SNPs) (10q26-rs2981582 (FGFR2), 8q24-rs13281615, 11p15-rs3817198 (LSP1), 5q11-rs889312 (MAP3K1), 16q12-rs3803662 (TOX3), 2q35-rs13387042, 5p12-rs10941679 (MRPS30), 17q23-rs6504950 (COX11), 3p24-rs4973768 (SLC4A7), CASP8-rs17468277, TGFB1-rs1982073 and ESR1-rs3020314). Interactions were tested for by fitting logistic regression models including per-allele and linear trend main effects for SNPs and risk factors, respectively, and single-parameter interaction terms for linear departure from independent multiplicative effects.Results: These analyses were applied to data for up to 26,349 invasive breast cancer cases and up to 32,208 controls from 21 case-control studies. No statistical evidence of interaction was observed beyond that expected by chance. Analyses were repeated using data from 11 population-based studies, and results were very similar.Conclusions: The relative risks for breast cancer associated with the common susceptibility variants identified to date do not appear to vary across women with different reproductive histories or body mass index (BMI). The assumption of multiplicative combined effects for these established genetic and other risk factors in risk prediction models appears justified. © 2010 Milne et al.; licensee BioMed Central Ltd.
Published: 2010

15. Anolis mestrei Barbour & Ramsden, 1916.

Author: Lambrechts, D.
Abstract: This concerns a small anole species from western Cuba. They mainly live in areas with limestone, in partial shade. They are olive-colored or gray with a green tinge. The males have an orange dewlap with a white edge. A well-ventilated terrarium of 60×60×40 cm (l×h×d) is enough for a pair. Lighting with fluorescent lamps, and UV and partly also heat is provided by a HID lamp. The terrarium is placed at the bottom of a rack, therefore in the coolest place. In summer it gets up to 33°C, in winter up to 20-22°C. There is a rocky back wall, with some branches as well as bromeliads, orchids and climbing plants. The soil is covered with a peat and sand mixture and kept moist. The terrarium is sprayed twice a day with osmosis water. The animals are fed with various insects, which are powdered with a calcium-vitamin preparation. The anoles are easy to breed, and are raised on a similar diet. One egg is deposited in the soil every two weeks. The eggs are incubated at room temperature. The newly hatched young are housed separately for the first month, then in groups. [ABSTRACT FROM AUTHOR]
Published: 2024

16. European experts consensus: BRCA/homologous recombination deficiency testing in first-line ovarian cancer

Author: Vergote, I, Gonzalez-Martin, A, Ray-Coquard, I, Harter, P, Colombo, N, Pujol, P, Lorusso, D, Mirza, M, Brasiuniene, B, Madry, R, Brenton, J, Ausems, M, Buttner, R, Lambrechts, D, Abreu, M, Balboni, S, Banerjee, S, Barberis, M, Barretina Ginesta, M, Baurain, J, Bignami, M, Bjorge, L, Blecharz, P, Bruchim, I, Capilna, M, Cerana, N, Cicchetti, A, Collins, D, Concin, N, D'Incalci, M, Davidson, B, de la Motte Rouge, T, De Iaco, P, Demirkiran, F, Denys, H, Doerk, T, Dorum, A, Ferrero, A, Fidalgo, A, Genuardi, M, Gladieff, L, Glasspool, R, Grimm, C, Gultekin, M, Hahnen, E, Hasenburg, A, Hegmane, A, Heinzelmann, V, Hogdall, E, Janavicius, R, Jarmalaite, S, Kalachand, R, Kaneva, R, Kilickap, S, Kocian, R, Kolencik, D, Kristeleit, R, Kryzhanivska, A, Leary, A, Lemley, B, Ligtenberg, M, Lopez-Guerrero, J, Lord, C, Avall-Lundqvist, E, Maenpaa, J, Mahner, S, Marme, F, Marth, C, Mcneish, I, Merkelbach-Bruse, S, Mourits, M, Normanno, N, Oaknin, A, Ojamaa, K, Papdimitriou, C, Penault-Llorca, F, Perrone, A, Pignata, S, Pikarsky, E, Rouleau, E, Rubio, M, Sapino, A, Schmalfeldt, B, Sehouli, J, Shapira, R, Steffensen, K, Sukhin, V, Syrios, J, Szallasi, Z, Taskiran, C, Terzic, M, Tischkowitz, M, Toth, I, Van de Vijver, K, Vardar, M, Wasag, B, Wimberger, P, Witteveen, E, Vergote I., Gonzalez-Martin A., Ray-Coquard I., Harter P., Colombo N., Pujol P., Lorusso D., Mirza M. R., Brasiuniene B., Madry R., Brenton J. D., Ausems M. G. E. M., Buttner R., Lambrechts D., Ausems M., Brenton J., Abreu M., Balboni S., Banerjee S., Barberis M., Barretina Ginesta M. P., Baurain J. -F., Bignami M., Bjorge L., Blecharz P., Bruchim I., Capilna M., Cerana N., Cicchetti A., Collins D., Concin N., D'Incalci M., Davidson B., de la Motte Rouge T., De Iaco P., Demirkiran F., Denys H., Doerk T., Dorum A., Ferrero A., Fidalgo A. P., Genuardi M., Gladieff L., Glasspool R., Grimm C., Gultekin M., Hahnen E., Hasenburg A., Hegmane A., Heinzelmann V., Hogdall E., Janavicius R., Jarmalaite S., Kalachand R., Kaneva R., Kilickap S., Kocian R., Kolencik D., Kristeleit R., Kryzhanivska A., Leary A., Lemley B., Ligtenberg M., Lopez-Guerrero J. A., Lord C. J., Avall-Lundqvist E., Maenpaa J., Mahner S., Marme F., Marth C., McNeish I., Merkelbach-Bruse S., Mourits M., Normanno N., Oaknin A., Ojamaa K., Papdimitriou C., Penault-Llorca F., Perrone A. M., Pignata S., Pikarsky E., Rouleau E., Rubio M., Sapino A., Schmalfeldt B., Sehouli J., Shapira R., Steffensen K. D., Sukhin V., Syrios J., Szallasi Z., Taskiran C., Terzic M., Tischkowitz M., Toth I., Van de Vijver K., Vardar M. A., Wasag B., Wimberger P., Witteveen E., Vergote, I, Gonzalez-Martin, A, Ray-Coquard, I, Harter, P, Colombo, N, Pujol, P, Lorusso, D, Mirza, M, Brasiuniene, B, Madry, R, Brenton, J, Ausems, M, Buttner, R, Lambrechts, D, Abreu, M, Balboni, S, Banerjee, S, Barberis, M, Barretina Ginesta, M, Baurain, J, Bignami, M, Bjorge, L, Blecharz, P, Bruchim, I, Capilna, M, Cerana, N, Cicchetti, A, Collins, D, Concin, N, D'Incalci, M, Davidson, B, de la Motte Rouge, T, De Iaco, P, Demirkiran, F, Denys, H, Doerk, T, Dorum, A, Ferrero, A, Fidalgo, A, Genuardi, M, Gladieff, L, Glasspool, R, Grimm, C, Gultekin, M, Hahnen, E, Hasenburg, A, Hegmane, A, Heinzelmann, V, Hogdall, E, Janavicius, R, Jarmalaite, S, Kalachand, R, Kaneva, R, Kilickap, S, Kocian, R, Kolencik, D, Kristeleit, R, Kryzhanivska, A, Leary, A, Lemley, B, Ligtenberg, M, Lopez-Guerrero, J, Lord, C, Avall-Lundqvist, E, Maenpaa, J, Mahner, S, Marme, F, Marth, C, Mcneish, I, Merkelbach-Bruse, S, Mourits, M, Normanno, N, Oaknin, A, Ojamaa, K, Papdimitriou, C, Penault-Llorca, F, Perrone, A, Pignata, S, Pikarsky, E, Rouleau, E, Rubio, M, Sapino, A, Schmalfeldt, B, Sehouli, J, Shapira, R, Steffensen, K, Sukhin, V, Syrios, J, Szallasi, Z, Taskiran, C, Terzic, M, Tischkowitz, M, Toth, I, Van de Vijver, K, Vardar, M, Wasag, B, Wimberger, P, Witteveen, E, Vergote I., Gonzalez-Martin A., Ray-Coquard I., Harter P., Colombo N., Pujol P., Lorusso D., Mirza M. R., Brasiuniene B., Madry R., Brenton J. D., Ausems M. G. E. M., Buttner R., Lambrechts D., Ausems M., Brenton J., Abreu M., Balboni S., Banerjee S., Barberis M., Barretina Ginesta M. P., Baurain J. -F., Bignami M., Bjorge L., Blecharz P., Bruchim I., Capilna M., Cerana N., Cicchetti A., Collins D., Concin N., D'Incalci M., Davidson B., de la Motte Rouge T., De Iaco P., Demirkiran F., Denys H., Doerk T., Dorum A., Ferrero A., Fidalgo A. P., Genuardi M., Gladieff L., Glasspool R., Grimm C., Gultekin M., Hahnen E., Hasenburg A., Hegmane A., Heinzelmann V., Hogdall E., Janavicius R., Jarmalaite S., Kalachand R., Kaneva R., Kilickap S., Kocian R., Kolencik D., Kristeleit R., Kryzhanivska A., Leary A., Lemley B., Ligtenberg M., Lopez-Guerrero J. A., Lord C. J., Avall-Lundqvist E., Maenpaa J., Mahner S., Marme F., Marth C., McNeish I., Merkelbach-Bruse S., Mourits M., Normanno N., Oaknin A., Ojamaa K., Papdimitriou C., Penault-Llorca F., Perrone A. M., Pignata S., Pikarsky E., Rouleau E., Rubio M., Sapino A., Schmalfeldt B., Sehouli J., Shapira R., Steffensen K. D., Sukhin V., Syrios J., Szallasi Z., Taskiran C., Terzic M., Tischkowitz M., Toth I., Van de Vijver K., Vardar M. A., Wasag B., Wimberger P., and Witteveen E.
Abstract: Background: Homologous recombination repair (HRR) enables fault-free repair of double-stranded DNA breaks. HRR deficiency is predicted to occur in around half of high-grade serous ovarian carcinomas. Ovarian cancers harbouring HRR deficiency typically exhibit sensitivity to poly-ADP ribose polymerase inhibitors (PARPi). Current guidelines recommend a range of approaches for genetic testing to identify predictors of sensitivity to PARPi in ovarian cancer and to identify genetic predisposition. Design: To establish a European-wide consensus for genetic testing (including the genetic care pathway), decision making and clinical management of patients with recently diagnosed advanced ovarian cancer, and the validity of biomarkers to predict the effectiveness of PARPi in the first-line setting. The collaborative European experts’ consensus group consisted of a steering committee (n = 14) and contributors (n = 84). A (modified) Delphi process was used to establish consensus statements based on a systematic literature search, conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. Results: A consensus was reached on 34 statements amongst 98 caregivers (including oncologists, pathologists, clinical geneticists, genetic researchers, and patient advocates). The statements concentrated on (i) the value of testing for BRCA1/2 mutations and HRR deficiency testing, including when and whom to test; (ii) the importance of developing new and better HRR deficiency tests; (iii) the importance of germline non-BRCA HRR and mismatch repair gene mutations for predicting familial risk, but not for predicting sensitivity to PARPi, in the first-line setting; (iv) who should be able to inform patients about genetic testing, and what training and education should these caregivers receive. Conclusion: These consensus recommendations, from a multidisciplinary panel of experts from across Europe, provide clear guidance on the use of BRCA and HRR de
Published: 2022

17. 14P Comparison of single-cell ERBB2 mRNA expression levels with HER2 status by immunohistochemistry reveals heterogeneity of the HER2-low status

Author: Richard, F., primary, De Schepper, M., additional, Geukens, T., additional, Vos, H., additional, Bassez, A., additional, Nguyen, H.L., additional, Maetens, M., additional, Wang, L., additional, Nevelsteen, I., additional, Wildiers, H., additional, Neven, P., additional, Punie, K., additional, Smeets, A., additional, Lambrechts, D., additional, Floris, G., additional, and Desmedt, C., additional
Published: 2023
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18. 2MO Expression levels of immune checkpoint markers (IC) in hormone receptor-positive/HER2-negative (HR+/HER2-) metastatic breast cancer (BC)

Author: Pabba, A., primary, Zels, G., additional, De Schepper, M., additional, Geukens, T., additional, Van Baelen, K., additional, Maetens, M., additional, Nguyen, H.L., additional, Mahdami, A., additional, Boeckx, B., additional, Vanderheyden, E., additional, Punie, K., additional, Neven, P., additional, Wildiers, H., additional, Van Den Bogaert, W., additional, Biganzoli, E., additional, Lambrechts, D., additional, Floris, G., additional, Richard, F., additional, and Desmedt, C., additional
Published: 2023
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19. Identification, validation and biological characterisation of novel glioblastoma tumour microenvironment subtypes: implications for precision immunotherapy

Author: White, K., primary, Connor, K., additional, Meylan, M., additional, Bougoüin, A., additional, Salvucci, M., additional, Bielle, F., additional, O’Farrell, A.C., additional, Sweeney, K., additional, Weng, L., additional, Bergers, G., additional, Dicker, P., additional, Ashley, D.M., additional, Lipp, E.S., additional, Low, J.T., additional, Zhao, J., additional, Wen, P., additional, Prins, R., additional, Verreault, M., additional, Idbaih, A., additional, Biswas, A., additional, Prehn, J.H.M., additional, Lambrechts, D., additional, Arijs, I., additional, Lodi, F., additional, Dilcan, G., additional, Lamfers, M., additional, Leenstra, S., additional, Fabro, F., additional, Ntafoulis, I., additional, Kros, J.M., additional, Cryan, J., additional, Brett, F., additional, Quissac, E., additional, Beausang, A., additional, MacNally, S., additional, O’Halloran, P., additional, Clerkin, J., additional, Bacon, O., additional, Kremer, A., additional, Chi Yen, R.T., additional, Varn, F.S., additional, Verhaak, R.G.W., additional, Sautès-Fridman, C., additional, Fridman, W.H., additional, and Byrne, A.T., additional
Published: 2023
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20. Effect of ABCB1 diplotype on tacrolimus disposition in renal recipients depends on CYP3A5 and CYP3A4 genotype

Author: Vanhove, T, Annaert, P, Lambrechts, D, and Kuypers, D R J
Published: 2017
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21. 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

22. 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

23. 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

24. Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survival.

Author: Morra, A, Schreurs, MAC, Andrulis, IL, Anton-Culver, H, Augustinsson, A, Beckmann, MW, Behrens, S, Bojesen, SE, Bolla, MK, Brauch, H, Broeks, A, Buys, SS, Camp, NJ, Castelao, JE, Cessna, MH, Chang-Claude, J, Chung, WK, Collaborators, N, Colonna, SV, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Dennis, J, Devilee, P, Dörk, T, Dunning, AM, Dwek, M, Easton, DF, Eccles, DM, Eriksson, M, Evans, DG, Fasching, PA, Fehm, TN, Figueroa, JD, Flyger, H, Gabrielson, M, Gago-Dominguez, M, García-Closas, M, García-Sáenz, JA, Genkinger, J, Grassmann, F, Gündert, M, Hahnen, E, Haiman, CA, Hamann, U, Harrington, PA, Hartikainen, JM, Hoppe, R, Hopper, JL, Houlston, RS, Howell, A, Investigators, A, Investigators, K, Jakubowska, A, Janni, W, Jernström, H, John, EM, Johnson, N, Jones, ME, Kristensen, VN, Kurian, AW, Lambrechts, D, Marchand, LL, Lindblom, A, Lubiński, J, Lux, MP, Mannermaa, A, Mavroudis, D, Mulligan, AM, Muranen, TA, Nevanlinna, H, Nevelsteen, I, Neven, P, Newman, WG, Obi, N, Offit, K, Olshan, AF, Park-Simon, T-W, Patel, AV, Peterlongo, P, Phillips, K-A, Plaseska-Karanfilska, D, Polley, EC, Presneau, N, Pylkäs, K, Rack, B, Radice, P, Rashid, MU, Rhenius, V, Robson, M, Romero, A, Saloustros, E, Sawyer, EJ, Schmutzler, RK, Schuetze, S, Scott, C, Shah, M, Smichkoska, S, Southey, MC, Tapper, WJ, Teras, LR, Tollenaar, RAEM, Tomczyk, K, Tomlinson, I, Troester, MA, Vachon, CM, van Veen, EM, Wang, Q, Wendt, C, Wildiers, H, Winqvist, R, Ziogas, A, Hall, P, Pharoah, PDP, Adank, MA, Hollestelle, A, Schmidt, MK, Hooning, MJ, Morra, A, Schreurs, MAC, Andrulis, IL, Anton-Culver, H, Augustinsson, A, Beckmann, MW, Behrens, S, Bojesen, SE, Bolla, MK, Brauch, H, Broeks, A, Buys, SS, Camp, NJ, Castelao, JE, Cessna, MH, Chang-Claude, J, Chung, WK, Collaborators, N, Colonna, SV, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Dennis, J, Devilee, P, Dörk, T, Dunning, AM, Dwek, M, Easton, DF, Eccles, DM, Eriksson, M, Evans, DG, Fasching, PA, Fehm, TN, Figueroa, JD, Flyger, H, Gabrielson, M, Gago-Dominguez, M, García-Closas, M, García-Sáenz, JA, Genkinger, J, Grassmann, F, Gündert, M, Hahnen, E, Haiman, CA, Hamann, U, Harrington, PA, Hartikainen, JM, Hoppe, R, Hopper, JL, Houlston, RS, Howell, A, Investigators, A, Investigators, K, Jakubowska, A, Janni, W, Jernström, H, John, EM, Johnson, N, Jones, ME, Kristensen, VN, Kurian, AW, Lambrechts, D, Marchand, LL, Lindblom, A, Lubiński, J, Lux, MP, Mannermaa, A, Mavroudis, D, Mulligan, AM, Muranen, TA, Nevanlinna, H, Nevelsteen, I, Neven, P, Newman, WG, Obi, N, Offit, K, Olshan, AF, Park-Simon, T-W, Patel, AV, Peterlongo, P, Phillips, K-A, Plaseska-Karanfilska, D, Polley, EC, Presneau, N, Pylkäs, K, Rack, B, Radice, P, Rashid, MU, Rhenius, V, Robson, M, Romero, A, Saloustros, E, Sawyer, EJ, Schmutzler, RK, Schuetze, S, Scott, C, Shah, M, Smichkoska, S, Southey, MC, Tapper, WJ, Teras, LR, Tollenaar, RAEM, Tomczyk, K, Tomlinson, I, Troester, MA, Vachon, CM, van Veen, EM, Wang, Q, Wendt, C, Wildiers, H, Winqvist, R, Ziogas, A, Hall, P, Pharoah, PDP, Adank, MA, Hollestelle, A, Schmidt, MK, and Hooning, MJ
Abstract: Breast cancer (BC) patients with a germline CHEK2 c.1100delC variant have an increased risk of contralateral BC (CBC) and worse BC-specific survival (BCSS) compared to non-carriers. We aimed to assess the associations of CHEK2 c.1100delC, radiotherapy, and systemic treatment with CBC risk and BCSS. Analyses were based on 82,701 women diagnosed with invasive BC including 963 CHEK2 c.1100delC carriers; median follow-up was 9.1 years. Differential associations of treatment by CHEK2 c.1100delC status were tested by including interaction terms in a multivariable Cox regression model. A multi-state model was used for further insight into the relation between CHEK2 c.1100delC status, treatment, CBC risk and death. There was no evidence for differential associations of therapy with CBC risk by CHEK2 c.1100delC status The strongest association with reduced CBC risk was observed for the combination of chemotherapy and endocrine therapy [HR(95%CI): 0.66 (0.55-0.78)]. No association was observed with radiotherapy. Results from the multi-state model showed shorter BCSS for CHEK2 c.1100delC carriers versus non-carriers also after accounting for CBC occurrence [HR(95%CI) :1.30 (1.09-1.56)]. In conclusion, systemic therapy was associated with reduced CBC risk irrespective of CHEK2 c.1100delC status. Moreover, CHEK2 c.1100delC carriers had shorter BCSS, which appears not to be fully explained by their CBC risk. (Main MS: 3201 words).
Published: 2023

25. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry

Author: Middha, PK, Wang, X, Behrens, S, Bolla, MK, Wang, Q, Dennis, J, Michailidou, K, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Augustinsson, A, Baert, T, Freeman, LEB, Becher, H, Beckmann, MW, Benitez, J, Bojesen, SE, Brauch, H, Brenner, H, Brooks-Wilson, A, Campa, D, Canzian, F, Carracedo, A, Castelao, JE, Chanock, SJ, Chenevix-Trench, G, Cordina-Duverger, E, Couch, FJ, Cox, A, Cross, SS, Czene, K, Dossus, L, Dugue, P-A, Eliassen, AH, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Fletcher, O, Flyger, H, Gabrielson, M, Gago-Dominguez, M, Giles, GG, Gonzalez-Neira, A, Grassmann, F, Grundy, A, Guenel, P, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Hankinson, SE, Harkness, EF, Holleczek, B, Hoppe, R, Hopper, JL, Houlston, RS, Howell, A, Hunter, DJ, Ingvar, C, Isaksson, K, Jernstroem, H, John, EM, Jones, ME, Kaaks, R, Keeman, R, Kitahara, CM, Ko, Y-D, Koutros, S, Kurian, AW, Lacey, JV, Lambrechts, D, Larson, NL, Larsson, S, Le Marchand, L, Lejbkowicz, F, Li, S, Linet, M, Lissowska, J, Martinez, ME, Maurer, T, Mulligan, AM, Mulot, C, Murphy, RA, Newman, WG, Nielsen, SF, Nordestgaard, BG, Norman, A, O'Brien, KM, Olson, JE, Patel, AV, Prentice, R, Rees-Punia, E, Rennert, G, Rhenius, V, Ruddy, KJ, Sandler, DP, Scott, CG, Shah, MT, Shu, X-O, Smeets, A, Southey, MC, Stone, J, Tamimi, RM, Taylor, JA, Teras, LR, Tomczyk, K, Troester, MA, Truong, T, Vachon, CM, Wang, SS, Weinberg, CR, Wildiers, H, Willett, W, Winham, SJ, Wolk, A, Yang, X, Zamora, MP, Zheng, W, Ziogas, A, Dunning, AM, Pharoah, PDP, Garcia-Closas, M, Schmidt, MK, Kraft, P, Milne, RL, Lindstroem, S, Easton, DF, Chang-Claude, J, Middha, PK, Wang, X, Behrens, S, Bolla, MK, Wang, Q, Dennis, J, Michailidou, K, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Augustinsson, A, Baert, T, Freeman, LEB, Becher, H, Beckmann, MW, Benitez, J, Bojesen, SE, Brauch, H, Brenner, H, Brooks-Wilson, A, Campa, D, Canzian, F, Carracedo, A, Castelao, JE, Chanock, SJ, Chenevix-Trench, G, Cordina-Duverger, E, Couch, FJ, Cox, A, Cross, SS, Czene, K, Dossus, L, Dugue, P-A, Eliassen, AH, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Fletcher, O, Flyger, H, Gabrielson, M, Gago-Dominguez, M, Giles, GG, Gonzalez-Neira, A, Grassmann, F, Grundy, A, Guenel, P, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Hankinson, SE, Harkness, EF, Holleczek, B, Hoppe, R, Hopper, JL, Houlston, RS, Howell, A, Hunter, DJ, Ingvar, C, Isaksson, K, Jernstroem, H, John, EM, Jones, ME, Kaaks, R, Keeman, R, Kitahara, CM, Ko, Y-D, Koutros, S, Kurian, AW, Lacey, JV, Lambrechts, D, Larson, NL, Larsson, S, Le Marchand, L, Lejbkowicz, F, Li, S, Linet, M, Lissowska, J, Martinez, ME, Maurer, T, Mulligan, AM, Mulot, C, Murphy, RA, Newman, WG, Nielsen, SF, Nordestgaard, BG, Norman, A, O'Brien, KM, Olson, JE, Patel, AV, Prentice, R, Rees-Punia, E, Rennert, G, Rhenius, V, Ruddy, KJ, Sandler, DP, Scott, CG, Shah, MT, Shu, X-O, Smeets, A, Southey, MC, Stone, J, Tamimi, RM, Taylor, JA, Teras, LR, Tomczyk, K, Troester, MA, Truong, T, Vachon, CM, Wang, SS, Weinberg, CR, Wildiers, H, Willett, W, Winham, SJ, Wolk, A, Yang, X, Zamora, MP, Zheng, W, Ziogas, A, Dunning, AM, Pharoah, PDP, Garcia-Closas, M, Schmidt, MK, Kraft, P, Milne, RL, Lindstroem, S, Easton, DF, and Chang-Claude, J
Abstract: BACKGROUND: Genome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer. METHODS: Analyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene-environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs. RESULTS: Assuming a 1 × 10-5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability < 15%, we identified two independent SNP-risk factor pairs: rs80018847(9p13)-LINGO2 and adult height in association with overall breast cancer risk (ORint = 0.94, 95% CI 0.92-0.96), and rs4770552(13q12)-SPATA13 and age at menarche for ER + breast cancer risk (ORint = 0.91, 95% CI 0.88-0.94). CONCLUSIONS: Overall, the contribution of G×E interactions to the heritability of breast cancer is very small. At the population level, multiplicative G×E interactions do not make an important contribution to risk prediction in breast cancer.
Published: 2023

26. 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

27. Obesity-associated changes in molecular biology of primary breast cancer.

Author: Nguyen, H.L., Geukens, T., Maetens, M., Aparicio, S., Bassez, A., Borg, A., Brock, J., Broeks, A., Caldas, C., Cardoso, F., Schepper, M. De, Delorenzi, M., Drukker, C.A., Glas, A.M., Green, A.R., Isnaldi, E., Eyfjörð, J., Khout, H., Knappskog, S., Krishnamurthy, S., Lakhani, S.R., Langerod, A., Martens, J.W.M., McCart Reed, A.E., Murphy, L., Naulaerts, S., Nik-Zainal, S., Nevelsteen, I., Neven, P., Piccart, M., Poncet, C., Punie, K., Purdie, C., Rakha, E.A., Richardson, A., Rutgers, E., Vincent-Salomon, A., Simpson, P.T., Schmidt, M.K., Sotiriou, C., Span, P.N., Tan, K.T.B., Thompson, A., Tommasi, S., Baelen, K. van, Vijver, M. van de, Laere, S. van, n't Veer, L. va, Viale, G., Viari, A., Vos, H., Witteveen, A.T., Wildiers, H., Floris, G., Garg, A.D., Smeets, Ann, Lambrechts, D., Biganzoli, E., Richard, F., Desmedt, C., Nguyen, H.L., Geukens, T., Maetens, M., Aparicio, S., Bassez, A., Borg, A., Brock, J., Broeks, A., Caldas, C., Cardoso, F., Schepper, M. De, Delorenzi, M., Drukker, C.A., Glas, A.M., Green, A.R., Isnaldi, E., Eyfjörð, J., Khout, H., Knappskog, S., Krishnamurthy, S., Lakhani, S.R., Langerod, A., Martens, J.W.M., McCart Reed, A.E., Murphy, L., Naulaerts, S., Nik-Zainal, S., Nevelsteen, I., Neven, P., Piccart, M., Poncet, C., Punie, K., Purdie, C., Rakha, E.A., Richardson, A., Rutgers, E., Vincent-Salomon, A., Simpson, P.T., Schmidt, M.K., Sotiriou, C., Span, P.N., Tan, K.T.B., Thompson, A., Tommasi, S., Baelen, K. van, Vijver, M. van de, Laere, S. van, n't Veer, L. va, Viale, G., Viari, A., Vos, H., Witteveen, A.T., Wildiers, H., Floris, G., Garg, A.D., Smeets, Ann, Lambrechts, D., Biganzoli, E., Richard, F., and Desmedt, C.
Abstract: Item does not contain fulltext, Obesity is associated with an increased risk of developing breast cancer (BC) and worse prognosis in BC patients, yet its impact on BC biology remains understudied in humans. This study investigates how the biology of untreated primary BC differs according to patients' body mass index (BMI) using data from >2,000 patients. We identify several genomic alterations that are differentially prevalent in overweight or obese patients compared to lean patients. We report evidence supporting an ageing accelerating effect of obesity at the genetic level. We show that BMI-associated differences in bulk transcriptomic profile are subtle, while single cell profiling allows detection of more pronounced changes in different cell compartments. These analyses further reveal an elevated and unresolved inflammation of the BC tumor microenvironment associated with obesity, with distinct characteristics contingent on the estrogen receptor status. Collectively, our analyses imply that obesity is associated with an inflammaging-like phenotype. We conclude that patient adiposity may play a significant role in the heterogeneity of BC and should be considered for BC treatment tailoring.
Published: 2023

28. Identification, validation and biological characterisation of novel glioblastoma tumour microenvironment subtypes:implications for precision immunotherapy

Author: White, K., Connor, K., Meylan, M., Bougoüin, A., Salvucci, M., Bielle, F., O'Farrell, A. C., Sweeney, K., Weng, L., Bergers, G., Dicker, P., Ashley, D. M., Lipp, E. S., Low, J. T., Zhao, J., Wen, P., Prins, R., Verreault, M., Idbaih, A., Biswas, A., Prehn, J. H.M., Lambrechts, D., Arijs, I., Lodi, F., Dilcan, G., Lamfers, M., Leenstra, S., Fabro, F., Ntafoulis, I., Kros, J. M., Cryan, J., Brett, F., Quissac, E., Beausang, A., MacNally, S., O'Halloran, P., Clerkin, J., Bacon, O., Kremer, A., Chi Yen, R. T., Varn, F. S., Verhaak, R. G.W., Sautès-Fridman, C., Fridman, W. H., Byrne, A. T., White, K., Connor, K., Meylan, M., Bougoüin, A., Salvucci, M., Bielle, F., O'Farrell, A. C., Sweeney, K., Weng, L., Bergers, G., Dicker, P., Ashley, D. M., Lipp, E. S., Low, J. T., Zhao, J., Wen, P., Prins, R., Verreault, M., Idbaih, A., Biswas, A., Prehn, J. H.M., Lambrechts, D., Arijs, I., Lodi, F., Dilcan, G., Lamfers, M., Leenstra, S., Fabro, F., Ntafoulis, I., Kros, J. M., Cryan, J., Brett, F., Quissac, E., Beausang, A., MacNally, S., O'Halloran, P., Clerkin, J., Bacon, O., Kremer, A., Chi Yen, R. T., Varn, F. S., Verhaak, R. G.W., Sautès-Fridman, C., Fridman, W. H., and Byrne, A. T.
Abstract: Background: New precision medicine therapies are urgently required for glioblastoma (GBM). However, to date, efforts to subtype patients based on molecular profiles have failed to direct treatment strategies. We hypothesised that interrogation of the GBM tumour microenvironment (TME) and identification of novel TME-specific subtypes could inform new precision immunotherapy treatment strategies. Materials and methods: A refined and validated microenvironment cell population (MCP) counter method was applied to >800 GBM patient tumours (GBM-MCP-counter). Specifically, partition around medoids (PAM) clustering of GBM-MCP-counter scores in the GLIOTRAIN discovery cohort identified three novel patient clusters, uniquely characterised by TME composition, functional orientation markers and immune checkpoint proteins. Validation was carried out in three independent GBM-RNA-seq datasets. Neoantigen, mutational and gene ontology analysis identified mutations and uniquely altered pathways across subtypes. The longitudinal Glioma Longitudinal AnalySiS (GLASS) cohort and three immunotherapy clinical trial cohorts [treatment with neoadjuvant/adjuvant anti-programmed cell death protein 1 (PD-1) or PSVRIPO] were further interrogated to assess subtype alterations between primary and recurrent tumours and to assess the utility of TME classifiers as immunotherapy biomarkers. Results: TMEHigh tumours (30%) displayed elevated lymphocyte, myeloid cell immune checkpoint, programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 transcripts. TMEHigh/mesenchymal+ patients featured tertiary lymphoid structures. TMEMed (46%) tumours were enriched for endothelial cell gene expression profiles and displayed heterogeneous immune populations. TMELow (24%) tumours were manifest as an ‘immune-desert’ group. TME subtype transitions upon recurrence were identified in the longitudinal GLASS cohort. Assessment of GBM immunoth
Published: 2023

29. The Emerging Role of DNA Methylation in Kidney Transplantation: A Perspective

Author: Heylen, L., Thienpont, B., Naesens, M., Lambrechts, D., and Sprangers, B.
Published: 2016
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30. Multiomics and spatial mapping characterizes human CD8 + T cell states in cancer

Author: Naulaerts, S, Datsi, A, Borras, DM, Antoranz Martinez, A, Messiaen, J, Vanmeerbeek, I, Sprooten, J, Laureano, RS, Govaerts, J, Panovska, D, Derweduwe, M, Sabel, MC, Rapp, M, Ni, W, Mackay, S, Van Herck, Y, Gelens, L, Venken, T, More, S, Bechter, O, Bergers, G, Liston, A, De Vleeschouwer, S, Van Den Eynde, BJ, Lambrechts, D, Verfaillie, M, Bosisio, F, Tejpar, S, Borst, J, Sorg, RV, De Smet, F, and Garg, AD
Subjects: General Medicine
Abstract: Clinically relevant immunological biomarkers that discriminate between diverse hypofunctional states of tumor-associated CD8 + T cells remain disputed. Using multiomics analysis of CD8 + T cell features across multiple patient cohorts and tumor types, we identified tumor niche–dependent exhausted and other types of hypofunctional CD8 + T cell states. CD8 + T cells in “supportive” niches, like melanoma or lung cancer, exhibited features of tumor reactivity–driven exhaustion (CD8 + T EX ). These included a proficient effector memory phenotype, an expanded T cell receptor (TCR) repertoire linked to effector exhaustion signaling, and a cancer-relevant T cell–activating immunopeptidome composed of largely shared cancer antigens or neoantigens. In contrast, “nonsupportive” niches, like glioblastoma, were enriched for features of hypofunctionality distinct from canonical exhaustion. This included immature or insufficiently activated T cell states, high wound healing signatures, nonexpanded TCR repertoires linked to anti-inflammatory signaling, high T cell–recognizable self-epitopes, and an antiproliferative state linked to stress or prodeath responses. In situ spatial mapping of glioblastoma highlighted the prevalence of dysfunctional CD4 + :CD8 + T cell interactions, whereas ex vivo single-cell secretome mapping of glioblastoma CD8 + T cells confirmed negligible effector functionality and a promyeloid, wound healing–like chemokine profile. Within immuno-oncology clinical trials, anti–programmed cell death protein 1 (PD-1) immunotherapy facilitated glioblastoma’s tolerogenic disparities, whereas dendritic cell (DC) vaccines partly corrected them. Accordingly, recipients of a DC vaccine for glioblastoma had high effector memory CD8 + T cells and evidence of antigen-specific immunity. Collectively, we provide an atlas for assessing different CD8 + T cell hypofunctional states in immunogenic versus nonimmunogenic cancers.
Published: 2023

31. SINGLE-CELL RNA-SEQUENCING OF 7 HGSOC CASES REVEALS MULTIPLE PROGNOSTIC CELL SUBTYPE: EP1126

Author: Olbrecht, S, Busschaert, P, Qian, J, Vanderstichele, A, Lambrechts, D, and Vergote, I
Published: 2019
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32. 17P Exploiting the immune-modulatory effects of PI3K/mTOR inhibitors to enhance response to immune-checkpoint blockade in uterine leiomyosarcoma

Author: De Wispelaere, W., primary, Annibali, D., additional, Tuyaerts, S., additional, Messiaen, J., additional, Antoranz, A., additional, Baiden-Amissah, R.E.M., additional, Van Brussel, T., additional, Schepers, R., additional, Philips, G., additional, Boeckx, B., additional, Baietti, M.F., additional, Ho Wang Yin, K.Y., additional, Bayon, E., additional, Van Rompuy, A-S., additional, Leucci, E., additional, Tabruyn, S., additional, Bosisio, F., additional, Lambrechts, D., additional, and Amant, F., additional
Published: 2023
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33. 14P Unravelling the immune landscape of non-epithelial ovarian cancer

Author: Laga, T., primary, Van Rompuy, A-S., additional, Busschaert, P., additional, Olbrecht, S.J.A.R., additional, Loverix, L., additional, Lodi, F., additional, Baert, T., additional, Van Gorp, T., additional, Vergote, I.B., additional, Lambrechts, D., additional, and Van Nieuwenhuysen, E., additional
Published: 2023
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34. LBA13 Nivolumab and ipilimumab in early-stage triple negative breast cancer (TNBC) with tumor-infiltrating lymphocytes (TILs): First results from the BELLINI trial

Author: Nederlof, I., primary, Isaeva, O.I., additional, Bakker, N., additional, de Graaf, M., additional, Salgado, R.F., additional, Klioueva, N., additional, Van De Vijver, K., additional, van Duijnhoven, F., additional, Kalashnikova, E., additional, Willingham, S., additional, Luykx, S., additional, Loo, C.E., additional, Kerver, E., additional, Sonke, G.S., additional, Blank, C.U., additional, Mann, R., additional, Linn, S.C., additional, Lambrechts, D., additional, Horlings, H., additional, and Kok, M., additional
Published: 2022
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35. 1478P Clearseq1-4 classifier in localized and metastatic clear-cell renal cell carcinoma (ccRCC)

Author: Kinget, L., primary, Roussel, E., additional, Verbiest, A.T.L., additional, Lambrechts, D., additional, Boeckx, B., additional, Zucman-Rossi, J., additional, Couchy, G., additional, Caruso, S., additional, Baldewijns, M., additional, De Wever, L., additional, Albersen, M., additional, and Beuselinck, B., additional
Published: 2022
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36. Plasma circulating tumor DNA as an alternative to metastatic biopsies for mutational analysis in breast cancer

Author: Rothé, F., Laes, J.-F., Lambrechts, D., Smeets, D., Vincent, D., Maetens, M., Fumagalli, D., Michiels, S., Drisis, S., Moerman, C., Detiffe, J.-P., Larsimont, D., Awada, A., Piccart, M., Sotiriou, C., and Ignatiadis, M.
Published: 2014
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37. Genetic Variation in Immunoglobulin G Receptor Affects Survival After Lung Transplantation

Author: Ruttens, D., Verleden, S.E., Goeminne, P.C., Vandermeulen, E., Wauters, E., Cox, B., Vos, R., Van Raemdonck, D.E., Lambrechts, D., Vanaudenaerde, B.M., and Verleden, G.M.
Published: 2014
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38. The rs1800716 variant in CYP2D6 is associated with an increased double endometrial thickness in postmenopausal women on tamoxifen

Author: Dieudonné, A.-S., Lambrechts, D., Smeets, D., Belmans, A., Wildiers, H., Paridaens, R., Hyonil, C., Timmerman, D., Christiaens, M.-R., Vergote, I., and Neven, P.
Published: 2014
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39. 138P Toward predicting immune checkpoint blockade response in oesophageal squamous cell carcinoma: Integrating tumour and blood characteristics

Author: Franken, A., Meindl-Beinker, N., Härtel, N., Ebert, M., and Lambrechts, D.
Published: 2024
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40. A randomized controlled trial of the ketogenic diet in refractory childhood epilepsy

Author: Lambrechts, D. A. J. E., de Kinderen, R. J. A., Vles, J. S. H., de Louw, A. J. A., Aldenkamp, A. P., and Majoie, H. J. M.
Published: 2018
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41. Homologous recombination repair deficiency (HRD) testing in newly diagnosed advanced-stage epithelial ovarian cancer: A Belgian expert opinion

Author: Vergote, I, primary, Denys, H, additional, Altintas, S, additional, Kerger, J, additional, Baurain, J-F, additional, Bours, V, additional, Henry, S, additional, Van de Vijver, K, additional, Lambrechts, D, additional, and Gennigens, C, additional
Published: 2022
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42. PD-6 DNA methylome as a potential biomarker in biliary brushes and bile fluid samples to differentiate between benign and malignant biliary stenosis

Author: Cappuyns, S., primary, Venken, T., additional, Stoffels, S., additional, Philips, G., additional, Laleman, W., additional, van der Merwe, S., additional, van Malenstein, H., additional, Lambrechts, D., additional, and Dekervel, J., additional
Published: 2022
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43. Conservation of copy number profiles during engraftment and passaging of patient-derived cancer xenografts

Author: Woo, X.Y., Giordano, J., Srivastava, A., Zhao, Z.-., Lloyd, M.W., de Bruijn, R., Suh, Y.-., Patidar, R., Chen, L., Scherer, S., Bailey, M.H., Yang, C.-., Cortes-Sanchez, E., Xi, Y., Wang, J., Wickramasinghe, J., Kossenkov, A.V., Rebecca, V.W., Sun, H., Mashl, R.J., Davies, S.R., Jeon, R., Frech, C., Randjelovic, J., Rosains, J., Galimi, F., Bertotti, A., Lafferty, A., O'Farrell, A.C., Modave, E., Lambrechts, D., ter Brugge, P., Marangoni, E., El Botty, R., Kim, H., Kim, J.-., Yang, H.-., Lee, C., Dean, D.A., Davis-Dusenbery, B., Evrard, Y.A., Doroshow, J.H., Welm, A.L., Welm, B.E., Lewis, M.T., Fang, B., Roth, J.A., Meric-Bernstam, F., Herlyn, M., Davies, M.A., Ding, L., Li, S., Govindan, R., Isella, C., Moscow, J.A., Trusolino, L., Byrne, A.T., Jonkers, J., Bult, C.J., Medico, E., Chuang, J.H., Robinson, P.N., Sanderson, B.J., Neuhauser, S.B., Dobrolecki, L.E., Zheng, X., Majidi, M., Zhang, R., Zhang, X., Akcakanat, A., Evans, K.W., Yap, T.A., Li, D., Yucan, E., Lanier, C.D., Saridogan, T., Kirby, B.P., M. J., H., Chen, H., Kopetz, S., Menter, D.G., Zhang, J., Westin, S.N., Kim, M.P., Dai, B., Gibbons, D.L., Tapia, C., Jensen, V.B., Boning, G., Minna, J.D., Park, H., Timmons, B.C., Girard, L., Fingerman, D., Liu, Q., Somasundaram, R., Xiao, M., Yennu-Nanda, V.G., Tetzlaff, M.T., Xu, X., Nathanson, K.L., Cao, S., Chen, F., Dipersio, J.F., Lim, K.H., C. X., M., Rodriguez, F.M., Van Tine, B.A., Wang-Gillam, A., Wendl, M.C., Wu, Y., Wyczalkowski, M.A., Yao, L., Jayasinghe, R., Aft, R.L., Fields, R.C., Luo, J., Fuh, K.C., Chin, V., Digiovanna, J., Grover, J., Koc, S., Seepo, S., Wallace, T., Pan, C.-., Chen, M.S., Carvajal-Carmona, L.G., Kirane, A.R., Cho, M., Gandara, D.R., Riess, J.W., Le, T., deVere White, R.W., Tepper, C.G., Zhang, H., Coggins, N.B., Lott, P., Estrada, A., Toal, T., Arana, A.M., Polanco-Echeverry, G., Rocha, S., A. -H., M., Mitsiades, N., Kaochar, S., O'Malley, B.W., Ellis, M.J., Hilsenbeck, S.G., Ittmann, M., Corso, S., Fiori, A., Giordano, S., van de Ven, M., Peeper, D.S., Miller, I., Bernado, C., Morancho, B., Ramirez, L., Arribas, J., Palmer, H.G., Piris-Gimenez, A., Soucek, L., Dahmani, A., Montaudon, E., Nemati, F., Dangles-Marie, V., Decaudin, D., Roman-Roman, S., Alferez, D.G., Spence, K., Clarke, R.B., Bentires-Alj, M., Chang, D.K., Biankin, A.V., Bruna, A., O'Reilly, M., Caldas, C., Casanovas, O., Gonzalez-Suarez, E., Munoz, P., Villanueva, A., Conte, N., Mason, J., Thorne, R., Meehan, T.F., Parkinson, H., Dudova, Z., Krenek, A., Stuchlik, D., Elemento, O., Inghirami, G., Golebiewska, A., Niclou, S.P., Wisman, G.B.A., de Jong, S., Kralova, P., Sedlacek, R., Claeys, E., Leucci, E., Borsani, M., Lanfrancone, L., Pelicci, P.G., Maelandsmo, G.M., Norum, J.H., Vinolo, E., Serra, V., and Leucci, Eleonora
Subjects: endocrine system diseases, Microarray, gene amplification, Whole Exome Sequencing, Mice, 0302 clinical medicine, Gene expression, Databases, Genetic, Gene duplication, Neoplasm Metastasis, Exome sequencing, Cancer, Regulation of gene expression, 0303 health sciences, Manchester Cancer Research Centre, adult, adult, animal experiment, animal model, animal tissue, breast cancer, microarray, DNA sequencing engraftment, gene amplification, tumor, xenograft, tumor-related gene, Polymorphism, Single Nucleotide/genetics, 3. Good health, Gene Expression Regulation, Neoplastic, 030220 oncology & carcinogenesis, microarray, hormones, hormone substitutes, and hormone antagonists, tumor, endocrine system, DNA sequencing engraftment, animal experiment, DNA Copy Number Variations/genetics, Biology, digestive system, DNA sequencing, Article, animal tissue, 03 medical and health sciences, breast cancer, Breast cancer, Genetics, medicine, Animals, Humans, xenograft, Gene, 030304 developmental biology, Settore MED/04 - Patologia Generale, Microarray analysis techniques, animal model, ResearchInstitutes_Networks_Beacons/mcrc, tumor-related gene, medicine.disease, Xenograft Model Antitumor Assays, Computational biology and bioinformatics, Cancer research, Human cancer
Abstract: Patient-derived xenografts (PDXs) are resected human tumors engrafted into mice for preclinical studies and therapeutic testing. It has been proposed that the mouse host affects tumor evolution during PDX engraftment and propagation, affecting the accuracy of PDX modeling of human cancer. Here, we exhaustively analyze copy number alterations (CNAs) in 1,451 PDX and matched patient tumor (PT) samples from 509 PDX models. CNA inferences based on DNA sequencing and microarray data displayed substantially higher resolution and dynamic range than gene expression-based inferences, and they also showed strong CNA conservation from PTs through late-passage PDXs. CNA recurrence analysis of 130 colorectal and breast PT/PDX-early/PDX-late trios confirmed high-resolution CNA retention. We observed no significant enrichment of cancer-related genes in PDX-specific CNAs across models. Moreover, CNA differences between patient and PDX tumors were comparable to variations in multiregion samples within patients. Our study demonstrates the lack of systematic copy number evolution driven by the PDX mouse host., Analysis of copy number alterations in 1,451 patient-derived xenografts (PDXs) and matched patient tumor samples shows strong conservation from patient tumors through late-passage PDXs and a lack of systematic copy number evolution driven by the mouse host.
Published: 2021

44. 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

45. 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

46. 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

47. 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

48. Rare germline copy number variants (CNVs) and breast cancer risk

Author: Dennis, J, Tyrer, JP, Walker, LC, Michailidou, K, Dorling, L, Bolla, MK, Wang, Q, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Aronson, KJ, Freeman, LEB, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bogdanova, N, Bojesen, SE, Brenner, H, Castelao, JE, Chang-Claude, J, Chenevix-Trench, G, Clarke, CL, Collee, JM, Couch, FJ, Cox, A, Cross, SS, Czene, K, Devilee, P, Dork, T, Dossus, L, Eliassen, AH, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Fletcher, O, Flyger, H, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Giles, GG, Gonzalez-Neira, A, Guenel, P, Hahnen, E, Haiman, CA, Hall, P, Hollestelle, A, Hoppe, R, Hopper, JL, Howell, A, Jager, A, Jakubowska, A, John, EM, Johnson, N, Jones, ME, Jung, A, Kaaks, R, Keeman, R, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Kosma, V-M, Koutros, S, Kraft, P, Kristensen, VN, Kubelka-Sabit, K, Kurian, AW, Lacey, J, Lambrechts, D, Larson, NL, Linet, M, Ogrodniczak, A, Mannermaa, A, Manoukian, S, Margolin, S, Mavroudis, D, Milne, RL, Muranen, TA, Murphy, RA, Nevanlinna, H, Olson, JE, Olsson, H, Park-Simon, T-W, Perou, CM, Peterlongo, P, Plaseska-Karanfilska, D, Pylkas, K, Rennert, G, Saloustros, E, Sandler, DP, Sawyer, EJ, Schmidt, MK, Schmutzler, RK, Shibli, R, Smeets, A, Soucy, P, Southey, MC, Swerdlow, AJ, Tamimi, RM, Taylor, JA, Teras, LR, Terry, MB, Tomlinson, I, Troester, MA, Truong, T, Vachon, CM, Wendt, C, Winqvist, R, Wolk, A, Yang, XR, Zheng, W, Ziogas, A, Simard, J, Dunning, AM, Pharoah, PDP, Easton, DF, Dennis, J, Tyrer, JP, Walker, LC, Michailidou, K, Dorling, L, Bolla, MK, Wang, Q, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Aronson, KJ, Freeman, LEB, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bogdanova, N, Bojesen, SE, Brenner, H, Castelao, JE, Chang-Claude, J, Chenevix-Trench, G, Clarke, CL, Collee, JM, Couch, FJ, Cox, A, Cross, SS, Czene, K, Devilee, P, Dork, T, Dossus, L, Eliassen, AH, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Fletcher, O, Flyger, H, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Giles, GG, Gonzalez-Neira, A, Guenel, P, Hahnen, E, Haiman, CA, Hall, P, Hollestelle, A, Hoppe, R, Hopper, JL, Howell, A, Jager, A, Jakubowska, A, John, EM, Johnson, N, Jones, ME, Jung, A, Kaaks, R, Keeman, R, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Kosma, V-M, Koutros, S, Kraft, P, Kristensen, VN, Kubelka-Sabit, K, Kurian, AW, Lacey, J, Lambrechts, D, Larson, NL, Linet, M, Ogrodniczak, A, Mannermaa, A, Manoukian, S, Margolin, S, Mavroudis, D, Milne, RL, Muranen, TA, Murphy, RA, Nevanlinna, H, Olson, JE, Olsson, H, Park-Simon, T-W, Perou, CM, Peterlongo, P, Plaseska-Karanfilska, D, Pylkas, K, Rennert, G, Saloustros, E, Sandler, DP, Sawyer, EJ, Schmidt, MK, Schmutzler, RK, Shibli, R, Smeets, A, Soucy, P, Southey, MC, Swerdlow, AJ, Tamimi, RM, Taylor, JA, Teras, LR, Terry, MB, Tomlinson, I, Troester, MA, Truong, T, Vachon, CM, Wendt, C, Winqvist, R, Wolk, A, Yang, XR, Zheng, W, Ziogas, A, Simard, J, Dunning, AM, Pharoah, PDP, and Easton, DF
Abstract: Germline copy number variants (CNVs) are pervasive in the human genome but potential disease associations with rare CNVs have not been comprehensively assessed in large datasets. We analysed rare CNVs in genes and non-coding regions for 86,788 breast cancer cases and 76,122 controls of European ancestry with genome-wide array data. Gene burden tests detected the strongest association for deletions in BRCA1 (P = 3.7E-18). Nine other genes were associated with a p-value < 0.01 including known susceptibility genes CHEK2 (P = 0.0008), ATM (P = 0.002) and BRCA2 (P = 0.008). Outside the known genes we detected associations with p-values < 0.001 for either overall or subtype-specific breast cancer at nine deletion regions and four duplication regions. Three of the deletion regions were in established common susceptibility loci. To the best of our knowledge, this is the first genome-wide analysis of rare CNVs in a large breast cancer case-control dataset. We detected associations with exonic deletions in established breast cancer susceptibility genes. We also detected suggestive associations with non-coding CNVs in known and novel loci with large effects sizes. Larger sample sizes will be required to reach robust levels of statistical significance.
Published: 2022

49. 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

50. 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

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