Skip to main content
Top
Published in: Breast Cancer Research 1/2022

Open Access 01-12-2022 | Cancer Biomarker | Research article

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

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

Published in: Breast Cancer Research | Issue 1/2022

Login to get access

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.
Appendix
Available only for authorised users
Literature
1.
go back to reference Cancer Genome Atlas N. Comprehensive molecular portraits of human breast tumours. Nature. 2012;490(7418):61–70.CrossRef Cancer Genome Atlas N. Comprehensive molecular portraits of human breast tumours. Nature. 2012;490(7418):61–70.CrossRef
2.
go back to reference Curigliano G, Burstein HJ, Gnant M, Dubsky P, Loibl S, Colleoni M, Regan MM, Piccart-Gebhart M, Senn HJ et al: De-escalating and escalating treatments for early-stage breast cancer: the St Gallen International Expert Consensus Conference on the Primary Therapy of Early Breast Cancer 2017. Ann Oncol 2017, 28(8):1700–1712. Curigliano G, Burstein HJ, Gnant M, Dubsky P, Loibl S, Colleoni M, Regan MM, Piccart-Gebhart M, Senn HJ et al: De-escalating and escalating treatments for early-stage breast cancer: the St Gallen International Expert Consensus Conference on the Primary Therapy of Early Breast Cancer 2017. Ann Oncol 2017, 28(8):1700–1712.
3.
go back to reference Goldhirsch A, Winer EP, Coates AS, Gelber RD, Piccart-Gebhart M, Thurlimann B, Senn HJ. Panel m: personalizing the treatment of women with early breast cancer: highlights of the St Gallen international expert consensus on the primary therapy of early breast cancer 2013. Ann Oncol. 2013;24(9):2206–23.PubMedPubMedCentralCrossRef Goldhirsch A, Winer EP, Coates AS, Gelber RD, Piccart-Gebhart M, Thurlimann B, Senn HJ. Panel m: personalizing the treatment of women with early breast cancer: highlights of the St Gallen international expert consensus on the primary therapy of early breast cancer 2013. Ann Oncol. 2013;24(9):2206–23.PubMedPubMedCentralCrossRef
4.
go back to reference Barnard ME, Boeke CE, Tamimi RM. Established breast cancer risk factors and risk of intrinsic tumor subtypes. Biochim Biophys Acta. 2015;1856(1):73–85.PubMed Barnard ME, Boeke CE, Tamimi RM. Established breast cancer risk factors and risk of intrinsic tumor subtypes. Biochim Biophys Acta. 2015;1856(1):73–85.PubMed
5.
go back to reference Yang XR, Chang-Claude J, Goode EL, Couch FJ, Nevanlinna H, Milne RL, Gaudet M, Schmidt MK, Broeks A, Cox A, et al. Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies. J Natl Cancer Inst. 2011;103(3):250–63.PubMedCrossRef Yang XR, Chang-Claude J, Goode EL, Couch FJ, Nevanlinna H, Milne RL, Gaudet M, Schmidt MK, Broeks A, Cox A, et al. Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies. J Natl Cancer Inst. 2011;103(3):250–63.PubMedCrossRef
6.
go back to reference Michailidou K, Lindstrom S, Dennis J, Beesley J, Hui S, Kar S, Lemacon A, Soucy P, Glubb D, Rostamianfar A, et al. Association analysis identifies 65 new breast cancer risk loci. Nature. 2017;551(7678):92–4.PubMedPubMedCentralCrossRef Michailidou K, Lindstrom S, Dennis J, Beesley J, Hui S, Kar S, Lemacon A, Soucy P, Glubb D, Rostamianfar A, et al. Association analysis identifies 65 new breast cancer risk loci. Nature. 2017;551(7678):92–4.PubMedPubMedCentralCrossRef
7.
go back to reference Milne RL, Kuchenbaecker KB, Michailidou K, Beesley J, Kar S, Lindstrom S, Hui S, Lemacon A, Soucy P, Dennis J, et al. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer. Nat Genet. 2017;49(12):1767–78.PubMedPubMedCentralCrossRef Milne RL, Kuchenbaecker KB, Michailidou K, Beesley J, Kar S, Lindstrom S, Hui S, Lemacon A, Soucy P, Dennis J, et al. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer. Nat Genet. 2017;49(12):1767–78.PubMedPubMedCentralCrossRef
8.
go back to reference Garcia-Closas M, Couch FJ, Lindstrom S, Michailidou K, Schmidt MK, Brook MN, Orr N, Rhie SK, Riboli E, Feigelson HS, et al. Genome-wide association studies identify four ER negative-specific breast cancer risk loci. Nat Genet. 2013;45(4):392–8.PubMedPubMedCentralCrossRef Garcia-Closas M, Couch FJ, Lindstrom S, Michailidou K, Schmidt MK, Brook MN, Orr N, Rhie SK, Riboli E, Feigelson HS, et al. Genome-wide association studies identify four ER negative-specific breast cancer risk loci. Nat Genet. 2013;45(4):392–8.PubMedPubMedCentralCrossRef
9.
go back to reference Dunning AM, Michailidou K, Kuchenbaecker KB, Thompson D, French JD, Beesley J, Healey CS, Kar S, Pooley KA, Lopez-Knowles E, et al. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170. Nat Genet. 2016;48(4):374–86.PubMedPubMedCentralCrossRef Dunning AM, Michailidou K, Kuchenbaecker KB, Thompson D, French JD, Beesley J, Healey CS, Kar S, Pooley KA, Lopez-Knowles E, et al. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170. Nat Genet. 2016;48(4):374–86.PubMedPubMedCentralCrossRef
10.
go back to reference Milne RL, Goode EL, Garcia-Closas M, Couch FJ, Severi G, Hein R, Fredericksen Z, Malats N, Zamora MP, Arias Perez JI, et al. Confirmation of 5p12 as a susceptibility locus for progesterone-receptor-positive, lower grade breast cancer. Cancer Epidemiol Biomark Prevent. 2011;20(10):2222–31.CrossRef Milne RL, Goode EL, Garcia-Closas M, Couch FJ, Severi G, Hein R, Fredericksen Z, Malats N, Zamora MP, Arias Perez JI, et al. Confirmation of 5p12 as a susceptibility locus for progesterone-receptor-positive, lower grade breast cancer. Cancer Epidemiol Biomark Prevent. 2011;20(10):2222–31.CrossRef
11.
go back to reference Figueroa JD, Garcia-Closas M, Humphreys M, Platte R, Hopper JL, Southey MC, Apicella C, Hammet F, Schmidt MK, Broeks A, et al. Associations of common variants at 1p11.2 and 14q24.1 (RAD51L1) with breast cancer risk and heterogeneity by tumor subtype: findings from the Breast Cancer Association Consortium. Hum Mol Genet. 2011;20(23):4693–706.PubMedPubMedCentralCrossRef Figueroa JD, Garcia-Closas M, Humphreys M, Platte R, Hopper JL, Southey MC, Apicella C, Hammet F, Schmidt MK, Broeks A, et al. Associations of common variants at 1p11.2 and 14q24.1 (RAD51L1) with breast cancer risk and heterogeneity by tumor subtype: findings from the Breast Cancer Association Consortium. Hum Mol Genet. 2011;20(23):4693–706.PubMedPubMedCentralCrossRef
12.
go back to reference Orr N, Dudbridge F, Dryden N, Maguire S, Novo D, Perrakis E, Johnson N, Ghoussaini M, Hopper JL, Southey MC, et al. Fine-mapping identifies two additional breast cancer susceptibility loci at 9q312. Hum Mol Genet. 2015;24(10):2966–84.PubMedPubMedCentralCrossRef Orr N, Dudbridge F, Dryden N, Maguire S, Novo D, Perrakis E, Johnson N, Ghoussaini M, Hopper JL, Southey MC, et al. Fine-mapping identifies two additional breast cancer susceptibility loci at 9q312. Hum Mol Genet. 2015;24(10):2966–84.PubMedPubMedCentralCrossRef
13.
go back to reference Broeks A, Schmidt MK, Sherman ME, Couch FJ, Hopper JL, Dite GS, Apicella C, Smith LD, Hammet F, Southey MC, et al. Low penetrance breast cancer susceptibility loci are associated with specific breast tumor subtypes: findings from the Breast Cancer Association Consortium. Hum Mol Genet. 2011;20(16):3289–303.PubMedPubMedCentralCrossRef Broeks A, Schmidt MK, Sherman ME, Couch FJ, Hopper JL, Dite GS, Apicella C, Smith LD, Hammet F, Southey MC, et al. Low penetrance breast cancer susceptibility loci are associated with specific breast tumor subtypes: findings from the Breast Cancer Association Consortium. Hum Mol Genet. 2011;20(16):3289–303.PubMedPubMedCentralCrossRef
14.
go back to reference Zhang H, Zhao N, Ahearn TU, Wheeler W, García-Closas M, Chatterjee N: A mixed-model approach for powerful testing of genetic associations with cancer risk incorporating tumor characteristics. Biostatistics 2020. Zhang H, Zhao N, Ahearn TU, Wheeler W, García-Closas M, Chatterjee N: A mixed-model approach for powerful testing of genetic associations with cancer risk incorporating tumor characteristics. Biostatistics 2020.
15.
go back to reference Zhang H, Ahearn TU, Lecarpentier J, Barnes D, Beesley J, Qi G, Jiang X, O’Mara TA, Zhao N, Bolla MK, et al. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses. Nat Genet. 2020;52(6):572–81.PubMedPubMedCentralCrossRef Zhang H, Ahearn TU, Lecarpentier J, Barnes D, Beesley J, Qi G, Jiang X, O’Mara TA, Zhao N, Bolla MK, et al. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses. Nat Genet. 2020;52(6):572–81.PubMedPubMedCentralCrossRef
16.
go back to reference Fachal L, Aschard H, Beesley J, Barnes DR, Allen J, Kar S, Pooley KA, Dennis J, Michailidou K, Turman C, et al. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes. Nat Genet. 2020;52(1):56–73.PubMedPubMedCentralCrossRef Fachal L, Aschard H, Beesley J, Barnes DR, Allen J, Kar S, Pooley KA, Dennis J, Michailidou K, Turman C, et al. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes. Nat Genet. 2020;52(1):56–73.PubMedPubMedCentralCrossRef
17.
go back to reference Dempster AP, Laird NM, Rubin DB. Maximum likelihood from incomplete data via em algorithm. J Roy Stat Soc B Met. 1977;39(1):1–38. Dempster AP, Laird NM, Rubin DB. Maximum likelihood from incomplete data via em algorithm. J Roy Stat Soc B Met. 1977;39(1):1–38.
18.
go back to reference Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc: Ser B (Methodol). 1995;57(1):289–300. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc: Ser B (Methodol). 1995;57(1):289–300.
19.
go back to reference Gu Z, Eils R, Schlesner M. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics. 2016;32(18):2847–9.PubMedCrossRef Gu Z, Eils R, Schlesner M. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics. 2016;32(18):2847–9.PubMedCrossRef
20.
go back to reference DeSantis CE, Ma J, Gaudet MM, Newman LA, Miller KD, Goding Sauer A, Jemal A, Siegel RL. Breast cancer statistics, 2019. CA Cancer J Clin. 2019;69(6):438–51.PubMedCrossRef DeSantis CE, Ma J, Gaudet MM, Newman LA, Miller KD, Goding Sauer A, Jemal A, Siegel RL. Breast cancer statistics, 2019. CA Cancer J Clin. 2019;69(6):438–51.PubMedCrossRef
21.
go back to reference Mesa-Eguiagaray I, Wild SH, Rosenberg PS, Bird SM, Brewster DH, Hall PS, Cameron DA, Morrison D, Figueroa JD. Distinct temporal trends in breast cancer incidence from 1997 to 2016 by molecular subtypes: a population-based study of Scottish cancer registry data. Br J Cancer. 2020;123(5):852–9.PubMedPubMedCentralCrossRef Mesa-Eguiagaray I, Wild SH, Rosenberg PS, Bird SM, Brewster DH, Hall PS, Cameron DA, Morrison D, Figueroa JD. Distinct temporal trends in breast cancer incidence from 1997 to 2016 by molecular subtypes: a population-based study of Scottish cancer registry data. Br J Cancer. 2020;123(5):852–9.PubMedPubMedCentralCrossRef
22.
go back to reference Easton DF, Pooley KA, Dunning AM, Pharoah PD, Thompson D, Ballinger DG, Struewing JP, Morrison J, Field H, Luben R, et al. Genome-wide association study identifies novel breast cancer susceptibility loci. Nature. 2007;447(7148):1087–93.PubMedPubMedCentralCrossRef Easton DF, Pooley KA, Dunning AM, Pharoah PD, Thompson D, Ballinger DG, Struewing JP, Morrison J, Field H, Luben R, et al. Genome-wide association study identifies novel breast cancer susceptibility loci. Nature. 2007;447(7148):1087–93.PubMedPubMedCentralCrossRef
23.
go back to reference Hunter DJ, Kraft P, Jacobs KB, Cox DG, Yeager M, Hankinson SE, Wacholder S, Wang Z, Welch R, Hutchinson A, et al. A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer. Nat Genet. 2007;39(7):870–4.PubMedPubMedCentralCrossRef Hunter DJ, Kraft P, Jacobs KB, Cox DG, Yeager M, Hankinson SE, Wacholder S, Wang Z, Welch R, Hutchinson A, et al. A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer. Nat Genet. 2007;39(7):870–4.PubMedPubMedCentralCrossRef
24.
go back to reference Stacey SN, Manolescu A, Sulem P, Rafnar T, Gudmundsson J, Gudjonsson SA, Masson G, Jakobsdottir M, Thorlacius S, Helgason A, et al. Common variants on chromosomes 2q35 and 16q12 confer susceptibility to estrogen receptor-positive breast cancer. Nat Genet. 2007;39(7):865–9.PubMedCrossRef Stacey SN, Manolescu A, Sulem P, Rafnar T, Gudmundsson J, Gudjonsson SA, Masson G, Jakobsdottir M, Thorlacius S, Helgason A, et al. Common variants on chromosomes 2q35 and 16q12 confer susceptibility to estrogen receptor-positive breast cancer. Nat Genet. 2007;39(7):865–9.PubMedCrossRef
25.
go back to reference Li J, Williams BL, Haire LF, Goldberg M, Wilker E, Durocher D, Yaffe MB, Jackson SP, Smerdon SJ. Structural and functional versatility of the FHA domain in DNA-damage signaling by the tumor suppressor kinase Chk2. Mol Cell. 2002;9(5):1045–54.PubMedCrossRef Li J, Williams BL, Haire LF, Goldberg M, Wilker E, Durocher D, Yaffe MB, Jackson SP, Smerdon SJ. Structural and functional versatility of the FHA domain in DNA-damage signaling by the tumor suppressor kinase Chk2. Mol Cell. 2002;9(5):1045–54.PubMedCrossRef
26.
go back to reference McKay JD, Hung RJ, Han Y, Zong X, Carreras-Torres R, Christiani DC, Caporaso NE, Johansson M, Xiao X, Li Y, et al. Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes. Nat Genet. 2017;49(7):1126–32.PubMedPubMedCentralCrossRef McKay JD, Hung RJ, Han Y, Zong X, Carreras-Torres R, Christiani DC, Caporaso NE, Johansson M, Xiao X, Li Y, et al. Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes. Nat Genet. 2017;49(7):1126–32.PubMedPubMedCentralCrossRef
27.
go back to reference Wang Y, McKay JD, Rafnar T, Wang Z, Timofeeva MN, Broderick P, Zong X, Laplana M, Wei Y, Han Y, et al. Rare variants of large effect in BRCA2 and CHEK2 affect risk of lung cancer. Nat Genet. 2014;46(7):736–41.PubMedPubMedCentralCrossRef Wang Y, McKay JD, Rafnar T, Wang Z, Timofeeva MN, Broderick P, Zong X, Laplana M, Wei Y, Han Y, et al. Rare variants of large effect in BRCA2 and CHEK2 affect risk of lung cancer. Nat Genet. 2014;46(7):736–41.PubMedPubMedCentralCrossRef
28.
go back to reference Obazee O, Archibugi L, Andriulli A, Soucek P, Malecka-Panas E, Ivanauskas A, Johnson T, Gazouli M, Pausch T, Lawlor RT, et al. Germline BRCA2 K3326X and CHEK2 I157T mutations increase risk for sporadic pancreatic ductal adenocarcinoma. Int J Cancer. 2019;145(3):686–93.PubMedCrossRef Obazee O, Archibugi L, Andriulli A, Soucek P, Malecka-Panas E, Ivanauskas A, Johnson T, Gazouli M, Pausch T, Lawlor RT, et al. Germline BRCA2 K3326X and CHEK2 I157T mutations increase risk for sporadic pancreatic ductal adenocarcinoma. Int J Cancer. 2019;145(3):686–93.PubMedCrossRef
29.
go back to reference Rudd MF, Sellick GS, Webb EL, Catovsky D, Houlston RS. Variants in the ATM-BRCA2-CHEK2 axis predispose to chronic lymphocytic leukemia. Blood. 2006;108(2):638–44.PubMedCrossRef Rudd MF, Sellick GS, Webb EL, Catovsky D, Houlston RS. Variants in the ATM-BRCA2-CHEK2 axis predispose to chronic lymphocytic leukemia. Blood. 2006;108(2):638–44.PubMedCrossRef
30.
go back to reference Liu C, Wang QS, Wang YJ. The CHEK2 I157T variant and colorectal cancer susceptibility: a systematic review and meta-analysis. Asian Pac J Cancer Prev. 2012;13(5):2051–5.PubMedCrossRef Liu C, Wang QS, Wang YJ. The CHEK2 I157T variant and colorectal cancer susceptibility: a systematic review and meta-analysis. Asian Pac J Cancer Prev. 2012;13(5):2051–5.PubMedCrossRef
31.
go back to reference Lesseur C, Ferreiro-Iglesias A, McKay JD, Bosse Y, Johansson M, Gaborieau V, Landi MT, Christiani DC, Caporaso NC, Bojesen SE et al: Genome-wide association meta-analysis identifies pleiotropic risk loci for aerodigestive squamous cell cancers. PLoS genetics 2021, 17(3):e1009254. Lesseur C, Ferreiro-Iglesias A, McKay JD, Bosse Y, Johansson M, Gaborieau V, Landi MT, Christiani DC, Caporaso NC, Bojesen SE et al: Genome-wide association meta-analysis identifies pleiotropic risk loci for aerodigestive squamous cell cancers. PLoS genetics 2021, 17(3):e1009254.
33.
go back to reference Fang J, Jia J, Makowski M, Xu M, Wang Z, Zhang T, Hoskins JW, Choi J, Han Y, Zhang M, et al. Functional characterization of a multi-cancer risk locus on chr5p1533 reveals regulation of TERT by ZNF148. Nat Commun. 2017;8(1):15034.PubMedPubMedCentralCrossRef Fang J, Jia J, Makowski M, Xu M, Wang Z, Zhang T, Hoskins JW, Choi J, Han Y, Zhang M, et al. Functional characterization of a multi-cancer risk locus on chr5p1533 reveals regulation of TERT by ZNF148. Nat Commun. 2017;8(1):15034.PubMedPubMedCentralCrossRef
34.
go back to reference Kim-Hellmuth S, Aguet F, Oliva M, Munoz-Aguirre M, Kasela S, Wucher V, Castel SE, Hamel AR, Vinuela A, Roberts AL et al: Cell type-specific genetic regulation of gene expression across human tissues. Science 2020, 369(6509). Kim-Hellmuth S, Aguet F, Oliva M, Munoz-Aguirre M, Kasela S, Wucher V, Castel SE, Hamel AR, Vinuela A, Roberts AL et al: Cell type-specific genetic regulation of gene expression across human tissues. Science 2020, 369(6509).
35.
go back to reference Li X, Zou W, Liu M, Cao W, Jiang Y, An G, Wang Y, Huang S, Zhao X. Association of multiple genetic variants with breast cancer susceptibility in the Han Chinese population. Oncotarget. 2016;7(51):85483–91.PubMedPubMedCentralCrossRef Li X, Zou W, Liu M, Cao W, Jiang Y, An G, Wang Y, Huang S, Zhao X. Association of multiple genetic variants with breast cancer susceptibility in the Han Chinese population. Oncotarget. 2016;7(51):85483–91.PubMedPubMedCentralCrossRef
36.
go back to reference Michailidou K, Hall P, Gonzalez-Neira A, Ghoussaini M, Dennis J, Milne RL, Schmidt MK, Chang-Claude J, Bojesen SE, Bolla MK, et al. Large-scale genotyping identifies 41 new loci associated with breast cancer risk. Nat Genet. 2013;45(4):353–61.PubMedPubMedCentralCrossRef Michailidou K, Hall P, Gonzalez-Neira A, Ghoussaini M, Dennis J, Milne RL, Schmidt MK, Chang-Claude J, Bojesen SE, Bolla MK, et al. Large-scale genotyping identifies 41 new loci associated with breast cancer risk. Nat Genet. 2013;45(4):353–61.PubMedPubMedCentralCrossRef
37.
go back to reference Darabi H, McCue K, Beesley J, Michailidou K, Nord S, Kar S, Humphreys K, Thompson D, Ghoussaini M, Bolla MK, et al. Polymorphisms in a putative enhancer at the 10q21.2 breast cancer risk locus regulate NRBF2 expression. Am J Hum Genet. 2015;97(1):22–34.PubMedPubMedCentralCrossRef Darabi H, McCue K, Beesley J, Michailidou K, Nord S, Kar S, Humphreys K, Thompson D, Ghoussaini M, Bolla MK, et al. Polymorphisms in a putative enhancer at the 10q21.2 breast cancer risk locus regulate NRBF2 expression. Am J Hum Genet. 2015;97(1):22–34.PubMedPubMedCentralCrossRef
38.
go back to reference Elston CW, Ellis IO. Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology. 1991;19(5):403–10.PubMedCrossRef Elston CW, Ellis IO. Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology. 1991;19(5):403–10.PubMedCrossRef
39.
go back to reference Bombonati A, Sgroi DC. The molecular pathology of breast cancer progression. J Pathol. 2011;223(2):307–17.PubMedCrossRef Bombonati A, Sgroi DC. The molecular pathology of breast cancer progression. J Pathol. 2011;223(2):307–17.PubMedCrossRef
40.
go back to reference Schymik B, Buerger H, Kramer A, Voss U, van der Groep P, Meinerz W, van Diest PJ, Korsching E. Is there “progression through grade” in ductal invasive breast cancer? Breast Cancer Res Treat. 2012;135(3):693–703.PubMedCrossRef Schymik B, Buerger H, Kramer A, Voss U, van der Groep P, Meinerz W, van Diest PJ, Korsching E. Is there “progression through grade” in ductal invasive breast cancer? Breast Cancer Res Treat. 2012;135(3):693–703.PubMedCrossRef
41.
go back to reference Roylance R, Gorman P, Harris W, Liebmann R, Barnes D, Hanby A, Sheer D. Comparative genomic hybridization of breast tumors stratified by histological grade reveals new insights into the biological progression of breast cancer. Can Res. 1999;59(7):1433–6. Roylance R, Gorman P, Harris W, Liebmann R, Barnes D, Hanby A, Sheer D. Comparative genomic hybridization of breast tumors stratified by histological grade reveals new insights into the biological progression of breast cancer. Can Res. 1999;59(7):1433–6.
42.
go back to reference Rajakariar R, Walker RA. Pathological and biological features of mammographically detected invasive breast carcinomas. Br J Cancer. 1995;71(1):150–4.PubMedPubMedCentralCrossRef Rajakariar R, Walker RA. Pathological and biological features of mammographically detected invasive breast carcinomas. Br J Cancer. 1995;71(1):150–4.PubMedPubMedCentralCrossRef
43.
go back to reference Mazoyer S, Dunning AM, Serova O, Dearden J, Puget N, Healey CS, Gayther SA, Mangion J, Stratton MR, Lynch HT, et al. A polymorphic stop codon in BRCA2. Nat Genet. 1996;14(3):253–4.PubMedCrossRef Mazoyer S, Dunning AM, Serova O, Dearden J, Puget N, Healey CS, Gayther SA, Mangion J, Stratton MR, Lynch HT, et al. A polymorphic stop codon in BRCA2. Nat Genet. 1996;14(3):253–4.PubMedCrossRef
44.
go back to reference Meeks HD, Song H, Michailidou K, Bolla MK, Dennis J, Wang Q, Barrowdale D, Frost D, McGuffog L, Ellis S et al, BRCA2 Polymorphic Stop Codon K3326X and the Risk of Breast, Prostate, and Ovarian Cancers. J Natl Cancer Inst 2016, 108(2). Meeks HD, Song H, Michailidou K, Bolla MK, Dennis J, Wang Q, Barrowdale D, Frost D, McGuffog L, Ellis S et al, BRCA2 Polymorphic Stop Codon K3326X and the Risk of Breast, Prostate, and Ovarian Cancers. J Natl Cancer Inst 2016, 108(2).
45.
go back to reference Darabi H, Beesley J, Droit A, Kar S, Nord S, Moradi Marjaneh M, Soucy P, Michailidou K, Ghoussaini M, Fues Wahl H, et al. Fine scale mapping of the 17q22 breast cancer locus using dense SNPs, genotyped within the Collaborative Oncological Gene-Environment Study (COGs). Sci Rep. 2016;6:32512.PubMedPubMedCentralCrossRef Darabi H, Beesley J, Droit A, Kar S, Nord S, Moradi Marjaneh M, Soucy P, Michailidou K, Ghoussaini M, Fues Wahl H, et al. Fine scale mapping of the 17q22 breast cancer locus using dense SNPs, genotyped within the Collaborative Oncological Gene-Environment Study (COGs). Sci Rep. 2016;6:32512.PubMedPubMedCentralCrossRef
46.
go back to reference Michailidou K, Beesley J, Lindstrom S, Canisius S, Dennis J, Lush MJ, Maranian MJ, Bolla MK, Wang Q, Shah M, et al. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer. Nat Genet. 2015;47(4):373–80.PubMedPubMedCentralCrossRef Michailidou K, Beesley J, Lindstrom S, Canisius S, Dennis J, Lush MJ, Maranian MJ, Bolla MK, Wang Q, Shah M, et al. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer. Nat Genet. 2015;47(4):373–80.PubMedPubMedCentralCrossRef
47.
go back to reference Little RJA, Rubin DB: Statistical analysis with missing data. In: Wiley series in probability and statistics. Third edition edn. Hoboken, NJ: Wiley,; 2019: 1 online resource. Little RJA, Rubin DB: Statistical analysis with missing data. In: Wiley series in probability and statistics. Third edition edn. Hoboken, NJ: Wiley,; 2019: 1 online resource.
48.
go back to reference Mavaddat N, Michailidou K, Dennis J, Lush M, Fachal L, Lee A, Tyrer JP, Chen TH, Wang Q, Bolla MK, et al. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes. Am J Hum Genet. 2019;104(1):21–34.PubMedCrossRef Mavaddat N, Michailidou K, Dennis J, Lush M, Fachal L, Lee A, Tyrer JP, Chen TH, Wang Q, Bolla MK, et al. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes. Am J Hum Genet. 2019;104(1):21–34.PubMedCrossRef
Metadata
Title
Common variants in breast cancer risk loci predispose to distinct tumor subtypes
Authors
Thomas U. Ahearn
Haoyu Zhang
Kyriaki Michailidou
Roger L. Milne
Manjeet K. Bolla
Joe Dennis
Alison M. Dunning
Michael Lush
Qin Wang
Irene L. Andrulis
Hoda Anton-Culver
Volker Arndt
Kristan J. Aronson
Paul L. Auer
Annelie Augustinsson
Adinda Baten
Heiko Becher
Sabine Behrens
Javier Benitez
Marina Bermisheva
Carl Blomqvist
Stig E. Bojesen
Bernardo Bonanni
Anne-Lise Børresen-Dale
Hiltrud Brauch
Hermann Brenner
Angela Brooks-Wilson
Thomas Brüning
Barbara Burwinkel
Saundra S. Buys
Federico Canzian
Jose E. Castelao
Jenny Chang-Claude
Stephen J. Chanock
Georgia Chenevix-Trench
Christine L. Clarke
J. Margriet Collée
Angela Cox
Simon S. Cross
Kamila Czene
Mary B. Daly
Peter Devilee
Thilo Dörk
Miriam Dwek
Diana M. Eccles
D. Gareth Evans
Peter A. Fasching
Jonine Figueroa
Giuseppe Floris
Manuela Gago-Dominguez
Susan M. Gapstur
José A. García-Sáenz
Mia M. Gaudet
Graham G. Giles
Mark S. Goldberg
Anna González-Neira
Grethe I. Grenaker Alnæs
Mervi Grip
Pascal Guénel
Christopher A. Haiman
Per Hall
Ute Hamann
Elaine F. Harkness
Bernadette A. M. Heemskerk-Gerritsen
Bernd Holleczek
Antoinette Hollestelle
Maartje J. Hooning
Robert N. Hoover
John L. Hopper
Anthony Howell
Milena Jakimovska
Anna Jakubowska
Esther M. John
Michael E. Jones
Audrey Jung
Rudolf Kaaks
Saila Kauppila
Renske Keeman
Elza Khusnutdinova
Cari M. Kitahara
Yon-Dschun Ko
Stella Koutros
Vessela N. Kristensen
Ute Krüger
Katerina Kubelka-Sabit
Allison W. Kurian
Kyriacos Kyriacou
Diether Lambrechts
Derrick G. Lee
Annika Lindblom
Martha Linet
Jolanta Lissowska
Ana Llaneza
Wing-Yee Lo
Robert J. MacInnis
Arto Mannermaa
Mehdi Manoochehri
Sara Margolin
Maria Elena Martinez
Catriona McLean
Alfons Meindl
Usha Menon
Heli Nevanlinna
William G. Newman
Jesse Nodora
Kenneth Offit
Håkan Olsson
Nick Orr
Tjoung-Won Park-Simon
Alpa V. Patel
Julian Peto
Guillermo Pita
Dijana Plaseska-Karanfilska
Ross Prentice
Kevin Punie
Katri Pylkäs
Paolo Radice
Gad Rennert
Atocha Romero
Thomas Rüdiger
Emmanouil Saloustros
Sarah Sampson
Dale P. Sandler
Elinor J. Sawyer
Rita K. Schmutzler
Minouk J. Schoemaker
Ben Schöttker
Mark E. Sherman
Xiao-Ou Shu
Snezhana Smichkoska
Melissa C. Southey
John J. Spinelli
Anthony J. Swerdlow
Rulla M. Tamimi
William J. Tapper
Jack A. Taylor
Lauren R. Teras
Mary Beth Terry
Diana Torres
Melissa A. Troester
Celine M. Vachon
Carolien H. M. van Deurzen
Elke M. van Veen
Philippe Wagner
Clarice R. Weinberg
Camilla Wendt
Jelle Wesseling
Robert Winqvist
Alicja Wolk
Xiaohong R. Yang
Wei Zheng
Fergus J. Couch
Jacques Simard
Peter Kraft
Douglas F. Easton
Paul D. P. Pharoah
Marjanka K. Schmidt
Montserrat García-Closas
Nilanjan Chatterjee
NBCS Collaborators
ABCTB Investigators
kConFab/AOCS Investigators
Publication date
01-12-2022
Publisher
BioMed Central
Published in
Breast Cancer Research / Issue 1/2022
Electronic ISSN: 1465-542X
DOI
https://doi.org/10.1186/s13058-021-01484-x

Other articles of this Issue 1/2022

Breast Cancer Research 1/2022 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine