Sir Peter MacCallum Department of Oncology - Research Publications

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    Universal genetic testing for women with newly diagnosed breast cancer in the context of multidisciplinary team care
    De Silva, DL ; Stafford, L ; Skandarajah, AR ; Sinclair, M ; Devereux, L ; Hogg, K ; Kentwell, M ; Park, A ; Lal, L ; Zethoven, M ; Jayawardana, MW ; Chan, F ; Butow, PN ; James, PA ; Mann, GB ; Campbell, IG ; Lindeman, GJ (WILEY, 2023-05-01)
    OBJECTIVE: To determine the feasibility of universal genetic testing of women with newly diagnosed breast cancer, to estimate the incidence of pathogenic gene variants and their impact on patient management, and to evaluate patient and clinician acceptance of universal testing. DESIGN, SETTING, PARTICIPANTS: Prospective study of women with invasive or high grade in situ breast cancer and unknown germline status discussed at the Parkville Breast Service (Melbourne) multidisciplinary team meeting. Women were recruited to the pilot (12 June 2020 - 22 March 2021) and expansion phases (17 October 2021 - 8 November 2022) of the Mutational Assessment of newly diagnosed breast cancer using Germline and tumour genomICs (MAGIC) study. MAIN OUTCOME MEASURES: Germline testing by DNA sequencing, filtered for nineteen hereditary breast and ovarian cancer genes that could be classified as actionable; only pathogenic variants were reported. Surveys before and after genetic testing assessed pilot phase participants' perceptions of genetic testing, and psychological distress and cancer-specific worry. A separate survey assessed clinicians' views on universal testing. RESULTS: Pathogenic germline variants were identified in 31 of 474 expanded study phase participants (6.5%), including 28 of 429 women with invasive breast cancer (6.5%). Eighteen of the 31 did not meet current genetic testing eligibility guidelines (probability of a germline pathogenic variant ≥ 10%, based on CanRisk, or Manchester score ≥ 15). Clinical management was changed for 24 of 31 women after identification of a pathogenic variant. Including 68 further women who underwent genetic testing outside the study, 44 of 542 women carried pathogenic variants (8.1%). Acceptance of universal testing was high among both patients (90 of 103, 87%) and clinicians; no decision regret or adverse impact on psychological distress or cancer-specific worry were reported. CONCLUSION: Universal genetic testing following the diagnosis of breast cancer detects clinically significant germline pathogenic variants that might otherwise be missed because of testing guidelines. Routine testing and reporting of pathogenic variants is feasible and acceptable for both patients and clinicians.
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    Venetoclax treatment in patients with cancer has limited impact on circulating T and NK cells
    Teh, CE ; Peng, H ; Luo, M-X ; Tan, T ; Trussart, M ; Howson, LJ ; Chua, CC ; Muttiah, C ; Brown, F ; Ritchie, ME ; Wei, AH ; Roberts, AW ; Bryant, VL ; Anderson, MA ; Lindeman, GJ ; Huang, DCS ; Thijssen, R ; Gray, DHD (ELSEVIER, 2023-06-27)
    Venetoclax is an effective treatment for certain blood cancers, such as chronic lymphocytic leukemia (CLL) and acute myeloid leukemia (AML). However, most patients relapse while on venetoclax and further treatment options are limited. Combining venetoclax with immunotherapies is an attractive approach; however, a detailed understanding of how venetoclax treatment impacts normal immune cells in patients is lacking. In this study, we performed deep profiling of peripheral blood (PB) cells from patients with CLL and AML before and after short-term treatment with venetoclax using mass cytometry (cytometry by time of flight) and found no impact on the concentrations of key T-cell subsets or their expression of checkpoint molecules. We also analyzed PB from patients with breast cancer receiving venetoclax long-term using a single-cell multiomics approach (cellular indexing of transcriptomes and epitopes by sequencing) and functional assays. We found significant depletion of B-cell populations with low expression of MCL-1 relative to other immune cells, attended by extensive transcriptomic changes. By contrast, there was less impact on circulating T cells and natural killer (NK) cells, with no changes in their subset composition, transcriptome, or function following venetoclax treatment. Our data indicate that venetoclax has minimal impact on circulating T or NK cells, supporting the rationale of combining this BH3 mimetic drug with cancer immunotherapies for more durable antitumor responses.
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    Combined PARP and WEE1 inhibition triggers anti-tumor immune response in BRCA1/2 wildtype triple-negative breast cancer
    Teo, ZL ; O'Connor, MJ ; Versaci, S ; Clarke, KA ; Brown, ER ; Percy, LW ; Kuykhoven, K ; Mintoff, CP ; Savas, P ; Virassamy, B ; Luen, SJ ; Byrne, A ; Sant, S ; Lindeman, GJ ; Darcy, PK ; Loi, S (NATURE PORTFOLIO, 2023-08-15)
    Novel therapeutic strategies that can effectively combine with immunotherapies are needed in the treatment of triple-negative breast cancer (TNBC). We demonstrate that combined PARP and WEE1 inhibition are synergistic in controlling tumour growth in BRCA1/2 wild-type TNBC preclinical models. The PARP inhibitor (PARPi) olaparib combined with the WEE1 inhibitor (WEE1i) adavosertib triggered increases in anti-tumour immune responses, including STING pathway activation. Combinations with a STING agonist resulted in further improved durable tumour regression and significant improvements in survival outcomes in murine tumour models of BRCA1/2 wild-type TNBC. In addition, we have identified baseline tumour-infiltrating lymphocyte (TIL) levels as a potential predictive biomarker of response to PARPi, WEE1i and immunotherapies in BRCA1/2 wild-type TNBC.
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    Common variants in breast cancer risk loci predispose to distinct tumor subtypes
    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 (BMC, 2022-01-04)
    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.
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    Rare germline copy number variants (CNVs) and breast cancer risk
    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 (NATURE PORTFOLIO, 2022-01-18)
    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.
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    Mendelian randomisation study of smoking exposure in relation to breast cancer risk
    Park, HA ; Neumeyer, S ; Michailidou, K ; Bolla, MK ; Wang, Q ; Dennis, J ; Ahearn, TU ; Andrulis, IL ; Anton-Culver, H ; Antonenkova, NN ; Arndt, V ; Aronson, KJ ; Augustinsson, A ; Baten, A ; Freeman, LEB ; Becher, H ; Beckmann, MW ; Behrens, S ; Benitez, J ; Bermisheva, M ; Bogdanova, N ; Bojesen, SE ; Brauch, H ; Brenner, H ; Brucker, SY ; Burwinkel, B ; Campa, D ; Canzian, F ; Castelao, JE ; Chanock, SJ ; Chenevix-Trench, G ; Clarke, CL ; Conroy, DM ; Couch, FJ ; Cox, A ; Cross, SS ; Czene, K ; Daly, MB ; Devilee, P ; Dork, T ; Dos-Santos-Silva, I ; Dwek, M ; Eccles, DM ; Eliassen, AH ; Engel, C ; Eriksson, M ; Evans, DG ; Fasching, PA ; Flyger, H ; Fritschi, L ; Garcia-Closas, M ; Garcia-Saenz, JA ; Gaudet, MM ; Giles, GG ; Glendon, G ; Goldberg, MS ; Goldgar, DE ; Gonzalez-Neira, A ; Grip, M ; Guenel, P ; Hahnen, E ; Haiman, CA ; Hakansson, N ; Hall, P ; Hamann, U ; Han, S ; Harkness, EF ; Hart, SN ; He, W ; Heemskerk-Gerritsen, BAM ; Hopper, JL ; Hunter, DJ ; Jager, A ; Jakubowska, A ; John, EM ; Jung, A ; Kaaks, R ; Kapoor, PM ; Keeman, R ; Khusnutdinova, E ; Kitahara, CM ; Koppert, LB ; Koutros, S ; Kristensen, VN ; Kurian, AW ; Lacey, J ; Lambrechts, D ; LeMarchand, L ; Lo, W-Y ; Mannermaa, A ; Manoochehri, M ; Margolin, S ; ElenaMartinez, M ; Mavroudis, D ; Meindl, A ; Menon, U ; Milne, RL ; Muranen, TA ; Nevanlinna, H ; Newman, WG ; Nordestgaard, BG ; Offit, K ; Olshan, AF ; Olsson, H ; Park-Simon, T-W ; Peterlongo, P ; Peto, J ; Plaseska-Karanfilska, D ; Presneau, N ; Radice, P ; Rennert, G ; Rennert, HS ; Romero, A ; Saloustros, E ; Sawyer, EJ ; Schmidt, MK ; Schmutzler, RK ; Schoemaker, MJ ; Schwentner, L ; Scott, C ; Shah, M ; Shu, X-O ; Simard, J ; Smeets, A ; Southey, MC ; Spinelli, JJ ; Stevens, V ; Swerdlow, AJ ; Tamimi, RM ; Tapper, WJ ; Taylor, JA ; Terry, MB ; Tomlinson, I ; Troester, MA ; Truong, T ; Vachon, CM ; van Veen, EM ; Vijai, J ; Wang, S ; Wendt, C ; Winqvist, R ; Wolk, A ; Ziogas, A ; Dunning, AM ; Pharoah, PDP ; Easton, DF ; Zheng, W ; Kraft, P ; Chang-Claude, J (SPRINGERNATURE, 2021-10-12)
    BACKGROUND: Despite a modest association between tobacco smoking and breast cancer risk reported by recent epidemiological studies, it is still equivocal whether smoking is causally related to breast cancer risk. METHODS: We applied Mendelian randomisation (MR) to evaluate a potential causal effect of cigarette smoking on breast cancer risk. Both individual-level data as well as summary statistics for 164 single-nucleotide polymorphisms (SNPs) reported in genome-wide association studies of lifetime smoking index (LSI) or cigarette per day (CPD) were used to obtain MR effect estimates. Data from 108,420 invasive breast cancer cases and 87,681 controls were used for the LSI analysis and for the CPD analysis conducted among ever-smokers from 26,147 cancer cases and 26,072 controls. Sensitivity analyses were conducted to address pleiotropy. RESULTS: Genetically predicted LSI was associated with increased breast cancer risk (OR 1.18 per SD, 95% CI: 1.07-1.30, P = 0.11 × 10-2), but there was no evidence of association for genetically predicted CPD (OR 1.02, 95% CI: 0.78-1.19, P = 0.85). The sensitivity analyses yielded similar results and showed no strong evidence of pleiotropic effect. CONCLUSION: Our MR study provides supportive evidence for a potential causal association with breast cancer risk for lifetime smoking exposure but not cigarettes per day among smokers.
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    Inhibition of RANK signaling in breast cancer induces an anti-tumor immune response orchestrated by CD8+T cells
    Gomez-Aleza, C ; Nguyen, B ; Yoldi, G ; Ciscar, M ; Barranco, A ; Hernandez-Jimenez, E ; Maetens, M ; Salgado, R ; Zafeiroglou, M ; Pellegrini, P ; Venet, D ; Garaud, S ; Trinidad, EM ; Benitez, S ; Vuylsteke, P ; Polastro, L ; Wildiers, H ; Simon, P ; Lindeman, G ; Larsimont, D ; Van den Eynden, G ; Velghe, C ; Rothe, F ; Willard-Gallo, K ; Michiels, S ; Munoz, P ; Walzer, T ; Planelles, L ; Penninger, J ; Azim, HA ; Loi, S ; Piccart, M ; Sotiriou, C ; Gonzalez-Suarez, E (NATURE RESEARCH, 2020-12-10)
    Most breast cancers exhibit low immune infiltration and are unresponsive to immunotherapy. We hypothesized that inhibition of the receptor activator of nuclear factor-κB (RANK) signaling pathway may enhance immune activation. Here we report that loss of RANK signaling in mouse tumor cells increases leukocytes, lymphocytes, and CD8+ T cells, and reduces macrophage and neutrophil infiltration. CD8+ T cells mediate the attenuated tumor phenotype observed upon RANK loss, whereas neutrophils, supported by RANK-expressing tumor cells, induce immunosuppression. RANKL inhibition increases the anti-tumor effect of immunotherapies in breast cancer through a tumor cell mediated effect. Comparably, pre-operative single-agent denosumab in premenopausal early-stage breast cancer patients from the Phase-II D-BEYOND clinical trial (NCT01864798) is well tolerated, inhibits RANK pathway and increases tumor infiltrating lymphocytes and CD8+ T cells. Higher RANK signaling activation in tumors and serum RANKL levels at baseline predict these immune-modulatory effects. No changes in tumor cell proliferation (primary endpoint) or other secondary endpoints are observed. Overall, our preclinical and clinical findings reveal that tumor cells exploit RANK pathway as a mechanism to evade immune surveillance and support the use of RANK pathway inhibitors to prime luminal breast cancer for immunotherapy.
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    CYP3A7*1C allele: linking premenopausal oestrone and progesterone levels with risk of hormone receptor-positive breast cancers
    Johnson, N ; Maguire, S ; Morra, A ; Kapoor, PM ; Tomczyk, K ; Jones, ME ; Schoemaker, MJ ; Gilham, C ; Bolla, MK ; Wang, Q ; Dennis, J ; Ahearn, TU ; Andrulis, IL ; Anton-Culver, H ; Antonenkova, NN ; Arndt, V ; Aronson, KJ ; Augustinsson, A ; Baynes, C ; Freeman, LEB ; Beckmann, MW ; Benitez, J ; Bermisheva, M ; Blomqvist, C ; Boeckx, B ; Bogdanova, NV ; Bojesen, SE ; Brauch, H ; Brenner, H ; Burwinkel, B ; Campa, D ; Canzian, F ; Castelao, JE ; Chanock, SJ ; Chenevix-Trench, G ; Clarke, CL ; Conroy, DM ; Couch, FJ ; Cox, A ; Cross, SS ; Czene, K ; Doerk, T ; Eliassen, AH ; Engel, C ; Evans, DG ; Fasching, PA ; Figueroa, J ; Floris, G ; Flyger, H ; Gago-Dominguez, M ; Gapstur, SM ; Garcia-Closas, M ; Gaudet, MM ; Giles, GG ; Goldberg, MS ; Gonzalez-Neira, A ; Guenel, P ; Hahnen, E ; Haiman, CA ; Hakansson, N ; Hall, P ; Hamann, U ; Harrington, PA ; Hart, SN ; Hooning, MJ ; Hopper, JL ; Howell, A ; Hunter, DJ ; Jager, A ; Jakubowska, A ; John, EM ; Kaaks, R ; Keeman, R ; Khusnutdinova, E ; Kitahara, CM ; Kosma, V-M ; Koutros, S ; Kraft, P ; Kristensen, VN ; Kurian, AW ; Lambrechts, D ; Le Marchand, L ; Linet, M ; Lubinski, J ; Mannermaa, A ; Manoukian, S ; Margolin, S ; Martens, JWM ; Mavroudis, D ; Mayes, R ; Meindl, A ; Milne, RL ; Neuhausen, SL ; Nevanlinna, H ; Newman, WG ; Nielsen, SF ; Nordestgaard, BG ; Obi, N ; Olshan, AF ; Olson, JE ; Olsson, H ; Orban, E ; Park-Simon, T-W ; Peterlongo, P ; Plaseska-Karanfilska, D ; Pylkas, K ; Rennert, G ; Rennert, HS ; Ruddy, KJ ; Saloustros, E ; Sandler, DP ; Sawyer, EJ ; Schmutzler, RK ; Scott, C ; Shu, X-O ; Simard, J ; Smichkoska, S ; Sohn, C ; Southey, MC ; Spinelli, JJ ; Stone, J ; Tamimi, RM ; Taylor, JA ; Tollenaar, RAEM ; Tomlinson, I ; Troester, MA ; Truong, T ; Vachon, CM ; van Veen, EM ; Wang, SS ; Weinberg, CR ; Wendt, C ; Wildiers, H ; Winqvist, R ; Wolk, A ; Zheng, W ; Ziogas, A ; Dunning, AM ; Pharoah, PDP ; Easton, DF ; Howie, AF ; Peto, J ; dos-Santos-Silva, I ; Swerdlow, AJ ; Chang-Claude, J ; Schmidt, MK ; Orr, N ; Fletcher, O (SPRINGERNATURE, 2021-02-16)
    BACKGROUND: Epidemiological studies provide strong evidence for a role of endogenous sex hormones in the aetiology of breast cancer. The aim of this analysis was to identify genetic variants that are associated with urinary sex-hormone levels and breast cancer risk. METHODS: We carried out a genome-wide association study of urinary oestrone-3-glucuronide and pregnanediol-3-glucuronide levels in 560 premenopausal women, with additional analysis of progesterone levels in 298 premenopausal women. To test for the association with breast cancer risk, we carried out follow-up genotyping in 90,916 cases and 89,893 controls from the Breast Cancer Association Consortium. All women were of European ancestry. RESULTS: For pregnanediol-3-glucuronide, there were no genome-wide significant associations; for oestrone-3-glucuronide, we identified a single peak mapping to the CYP3A locus, annotated by rs45446698. The minor rs45446698-C allele was associated with lower oestrone-3-glucuronide (-49.2%, 95% CI -56.1% to -41.1%, P = 3.1 × 10-18); in follow-up analyses, rs45446698-C was also associated with lower progesterone (-26.7%, 95% CI -39.4% to -11.6%, P = 0.001) and reduced risk of oestrogen and progesterone receptor-positive breast cancer (OR = 0.86, 95% CI 0.82-0.91, P = 6.9 × 10-8). CONCLUSIONS: The CYP3A7*1C allele is associated with reduced risk of hormone receptor-positive breast cancer possibly mediated via an effect on the metabolism of endogenous sex hormones in premenopausal women.
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    Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes
    Fachal, L ; Aschard, H ; Beesley, J ; Barnes, DR ; Allen, J ; Kar, S ; Pooley, KA ; Dennis, J ; Michailidou, K ; Turman, C ; Soucy, P ; Lemacon, A ; Lush, M ; Tyrer, JP ; Ghoussaini, M ; Marjaneh, MM ; Jiang, X ; Agata, S ; Aittomaki, K ; Rosario Alonso, M ; Andrulis, IL ; Anton-Culver, H ; Antonenkova, NN ; Arason, A ; Arndt, V ; Aronson, KJ ; Arun, BK ; Auber, B ; Auer, PL ; Azzollini, J ; Balmana, J ; Barkardottir, RB ; Barrowdale, D ; Beeghly-Fadiel, A ; Benitez, J ; Bermisheva, M ; Bialkowska, K ; Blanco, AM ; Blomqvist, C ; Blot, W ; Bogdanova, N ; Bojesen, SE ; Bolla, MK ; Bonanni, B ; Borg, A ; Bosse, K ; Brauch, H ; Brenner, H ; Briceno, I ; Brock, IW ; Brooks-Wilson, A ; Bruening, T ; Burwinkel, B ; Buys, SS ; Cai, Q ; Caldes, T ; Caligo, MA ; Camp, NJ ; Campbell, I ; Canzian, F ; Carroll, JS ; Carter, BD ; Castelao, JE ; Chiquette, J ; Christiansen, H ; Chung, WK ; Claes, KBM ; Clarke, CL ; Collee, JM ; Cornelissen, S ; Couch, FJ ; Cox, A ; Cross, SS ; Cybulski, C ; Czene, K ; Daly, MB ; de la Hoya, M ; Devilee, P ; Diez, O ; Ding, YC ; Dite, GS ; Domchek, SM ; Doerk, T ; dos-Santos-Silva, I ; Droit, A ; Dubois, S ; Dumont, M ; Duran, M ; Durcan, L ; Dwek, M ; Eccles, DM ; Engel, C ; Eriksson, M ; Evans, DG ; Fasching, PA ; Fletcher, O ; Floris, G ; Flyger, H ; Foretova, L ; Foulkes, WD ; Friedman, E ; Fritschi, L ; Frost, D ; Gabrielson, M ; Gago-Dominguez, M ; Gambino, G ; Ganz, PA ; Gapstur, SM ; Garber, J ; Garcia-Saenz, JA ; Gaudet, MM ; Georgoulias, V ; Giles, GG ; Glendon, G ; Godwin, AK ; Goldberg, MS ; Goldgar, DE ; Gonzalez-Neira, A ; Tibiletti, MG ; Greene, MH ; Grip, M ; Gronwald, J ; Grundy, A ; Guenel, P ; Hahnen, E ; Haiman, CA ; Hakansson, N ; Hall, P ; Hamann, U ; Harrington, PA ; Hartikainen, JM ; Hartman, M ; He, W ; Healey, CS ; Heemskerk-Gerritsen, BAM ; Heyworth, J ; Hillemanns, P ; Hogervorst, FBL ; Hollestelle, A ; Hooning, MJ ; Hopper, JL ; Howell, A ; Huang, G ; Hulick, PJ ; Imyanitov, EN ; Isaacs, C ; Iwasaki, M ; Jager, A ; Jakimovska, M ; Jakubowska, A ; James, PA ; Janavicius, R ; Jankowitz, RC ; John, EM ; Johnson, N ; Jones, ME ; Jukkola-Vuorinen, A ; Jung, A ; Kaaks, R ; Kang, D ; Kapoor, PM ; Karlan, BY ; Keeman, R ; Kerin, MJ ; Khusnutdinova, E ; Kiiski, J ; Kirk, J ; Kitahara, CM ; Ko, Y-D ; Konstantopoulou, I ; Kosma, V-M ; Koutros, S ; Kubelka-Sabit, K ; Kwong, A ; Kyriacou, K ; Laitman, Y ; Lambrechts, D ; Lee, E ; Leslie, G ; Lester, J ; Lesueur, F ; Lindblom, A ; Lo, W-Y ; Long, J ; Lophatananon, A ; Loud, JT ; Lubinski, J ; MacInnis, RJ ; Maishman, T ; Makalic, E ; Mannermaa, A ; Manoochehri, M ; Manoukian, S ; Margolin, S ; Martinez, ME ; Matsuo, K ; Maurer, T ; Mavroudis, D ; Mayes, R ; McGuffog, L ; McLean, C ; Mebirouk, N ; Meindl, A ; Miller, A ; Miller, N ; Montagna, M ; Moreno, F ; Muir, K ; Mulligan, AM ; Munoz-Garzon, VM ; Muranen, TA ; Narod, SA ; Nassir, R ; Nathanson, KL ; Neuhausen, SL ; Nevanlinna, H ; Neven, P ; Nielsen, FC ; Nikitina-Zake, L ; Norman, A ; Offit, K ; Olah, E ; Olopade, O ; Olsson, H ; 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Seynaeve, C ; Siesling, S ; Verloop, J ; van Asperen, C ; van Cronenburg, T ; Blok, R ; de Boer, M ; Garcia, EG ; Adank, M ; Hogervorst, F ; Jenner, D ; van Leeuwen, F ; Rookus, M ; Russell, N ; Schmidt, M ; van den Belt-Dusebout, S ; Kets, C ; Mensenkamp, A ; de Bock, T ; van Der Hout, A ; Mourits, M ; Oosterwijk, J ; Ausems, M ; Koudijs, M ; Marsh, D ; Baxter, R ; Yip, D ; Carpenter, J ; Davis, A ; Pathmanathan, N ; Simpson, P ; Graham, D ; Sachchithananthan, M (NATURE RESEARCH, 2020-01-07)
    Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of those potentially causal variants, using gene expression (expression quantitative trait loci), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways were over-represented among the highest-confidence target genes.