Sir Peter MacCallum Department of Oncology - Research Publications

Permanent URI for this collection

Search Results

Now showing 1 - 10 of 39
  • Item
    No Preview Available
    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.
  • Item
    No Preview Available
    Contribution of large genomic rearrangements in PALB2 to familial breast cancer: implications for genetic testing
    Li, N ; Zethoven, M ; McInerny, S ; Healey, E ; DeSilva, D ; Devereux, L ; Scott, RJ ; James, PA ; Campbell, IG (BMJ PUBLISHING GROUP, 2023-02)
    BACKGROUND: PALB2 is the most important contributor to familial breast cancer after BRCA1 and BRCA2. Large genomic rearrangements (LGRs) in BRCA1 and BRCA2 are routinely assessed in clinical testing and are a significant contributor to the yield of actionable findings. In contrast, the contribution of LGRs in PALB2 has not been systematically studied. METHODS: We performed targeted sequencing and real-time qPCR validation to identify LGRs in PALB2 in 5770 unrelated patients with familial breast cancer and 5741 cancer-free control women from the same Australian population. RESULTS: Seven large deletions ranging in size from 0.96 kbp to 18.07 kbp involving PALB2 were identified in seven cases, while no LGRs were identified in any of the controls. Six LGRs were considered pathogenic as they included one or more exons of PALB2 and disrupted the WD40 domain at the C terminal end of the PALB2 protein while one LGR only involved a partial region of intron 10 and was considered a variant of unknown significance. Altogether, pathogenic LGRs identified in this study accounted for 10.3% (6 of 58) of the pathogenic PALB2 variants detected among the 5770 families with familial breast cancer. CONCLUSIONS: Our data show that a clinically important proportion of PALB2 pathogenic mutations in Australian patients with familial breast cancer are LGRs. Such observations have provided strong support for inclusion of PALB2 LGRs in routine clinical genetic testing.
  • Item
    No Preview Available
    Estimating the proportion of pathogenic variants from breast cancer case-control data: Application to calibration of ACMG/AMP variant classification criteria
    James, PA ; Fortuno, C ; Li, N ; Lim, BWX ; Campbell, IG ; Spurdle, AB (WILEY-HINDAWI, 2022-07)
    For genes with reliable estimates of disease risk associated with loss-of-function variants, case-control data can be used to estimate the proportion of variants of typical risk effect for defined groups of variants, of relevance for variant classification. A calculation was derived for a maximum likelihood estimate of the proportion of pathogenic variants of typical effect from case-control data and applied to rare variant counts for ATM, BARD1, BRCA1, BRCA2, CHEK2, PALB2, RAD51C, and RAD51D from published breast cancer studies: BEACCON (5770 familial cases and 5741 controls) and breast cancer risk after diagnostic sequencing (60,466 familial and population-based cases and 53,461 controls). There was significant evidence of pathogenic variants among rare noncoding variants, in particular deeper intronic variants, for BRCA1 (13%, p = 8.3 × 10-7 ), BRCA2 (6%, p = 0.016) and PALB2 (13%, p = 0.001). The estimated proportion of pathogenic missense variants varied markedly between genes, generally with enrichment in familial cases, for example, 9% for BRCA2 versus 60%-90% for CHEK2. Stratifying missense variants by position indicated that, for most genes, location within a functional domain significantly predicted pathogenicity, whereas location outside domains provided robust evidence against pathogenicity. Our approach provides novel insights into the spectrum of pathogenic variants of specific breast cancer genes and has wider application to inform gene-focused specifications of American College of Medical Genetics and Genomics (ACMG)/Association of Molecular Pathology (AMP) codes for variant curation.
  • Item
    Thumbnail Image
    Somatic inactivation of breast cancer predisposition genes in tumors associated with pathogenic germline variants
    Lim, BWX ; Li, N ; Mahale, S ; McInerny, SM ; Zethoven, M ; Rowley, SM ; Huynh, J ; Wang, T ; Lee, JEA ; Friedman, M ; Devereux, L ; Scott, RJ ; Sloan, EK ; James, PA ; Campbell, IG (OXFORD UNIV PRESS INC, 2023-02-08)
    BACKGROUND: Breast cancers (BCs) that arise in individuals heterozygous for a germline pathogenic variant in a susceptibility gene, such as BRCA1 and BRCA2, PALB2, and RAD51C, have been shown to exhibit biallelic loss in the respective genes and be associated with triple-negative breast cancer (TNBC) and distinctive somatic mutational signatures. Tumor sequencing thus presents an orthogonal approach to assess the role of candidate genes in BC development. METHODS: Exome sequencing was performed on paired normal-breast tumor DNA from 124 carriers of germline loss-of-function (LoF) or missense variant carriers in 15 known and candidate BC predisposition genes identified in the BEACCON case-control study. Biallelic inactivation and association with tumor genome features including mutational signatures and homologous recombination deficiency (HRD) score were investigated. RESULTS: BARD1-carrying TNBC (4 of 5) displayed biallelic loss and associated high HRD scores and mutational signature 3, as did a RAD51D-carrying TNBC and ovarian cancer. Biallelic loss was less frequent in BRIP1 BCs (4 of 13) and had low HRD scores. In contrast to other established BC genes, BCs from carriers of CHEK2 LoF (6 of 17) or missense (2 of 20) variant had low rates of biallelic loss. Exploratory analysis of BC from carriers of LoF variants in candidate genes such as BLM, FANCM, PARP2, and RAD50 found little evidence of biallelic inactivation. CONCLUSIONS: BARD1 and RAD51D behave as classic BRCA-like predisposition genes with biallelic inactivation, but this was not observed for any of the candidate genes. However, as demonstrated for CHEK2, the absence of biallelic inactivation does not provide definitive evidence against the gene's involvement in BC predisposition.
  • Item
    Thumbnail Image
    Gene-Expression Profiling of Mucinous Ovarian Tumors and Comparison with Upper and Lower Gastrointestinal Tumors Identifies Markers Associated with Adverse Outcomes
    Meagher, NS ; Gorringe, KL ; Wakefield, M ; Bolithon, A ; Pang, CNI ; Chiu, DS ; Anglesio, MS ; Mallitt, K-A ; Doherty, JA ; Harris, HR ; Schildkraut, JM ; Berchuck, A ; Cushing-Haugen, KL ; Chezar, K ; Chou, A ; Tan, A ; Alsop, J ; Barlow, E ; Beckmann, MW ; Boros, J ; Bowtell, DDL ; Brand, AH ; Brenton, JD ; Campbell, I ; Cheasley, D ; Cohen, J ; Cybulski, C ; Elishaev, E ; Erber, R ; Farrell, R ; Fischer, A ; Fu, Z ; Gilks, B ; Gill, AJ ; Gourley, C ; Grube, M ; Harnett, PR ; Hartmann, A ; Hettiaratchi, A ; Hogdall, CK ; Huzarski, T ; Jakubowska, A ; Jimenez-Linan, M ; Kennedy, CJ ; Kim, B-G ; Kim, J-W ; Kim, J-H ; Klett, K ; Koziak, JM ; Lai, T ; Laslavic, A ; Lester, J ; Leung, Y ; Li, N ; Liauw, W ; Lim, BWX ; Linder, A ; Lubinski, J ; Mahale, S ; Mateoiu, C ; McInerny, S ; Menkiszak, J ; Minoo, P ; Mittelstadt, S ; Morris, D ; Orsulic, S ; Park, S-Y ; Pearce, CL ; Pearson, J ; Pike, MC ; Quinn, CM ; Mohan, GR ; Rao, J ; Riggan, MJ ; Ruebner, M ; Salfinger, S ; Scott, CL ; Shah, M ; Steed, H ; Stewart, CJR ; Subramanian, D ; Sung, S ; Tang, K ; Timpson, P ; Ward, RL ; Wiedenhoefer, R ; Thorne, H ; Cohen, PA ; Crowe, P ; Fasching, PA ; Gronwald, J ; Hawkins, NJ ; Hogdall, E ; Huntsman, DG ; James, PA ; Karlan, BY ; Kelemen, LE ; Kommoss, S ; Konecny, GE ; Modugno, F ; Park, SK ; Staebler, A ; Sundfeldt, K ; Wu, AH ; Talhouk, A ; Pharoah, PDP ; Anderson, L ; DeFazio, A ; Kobel, M ; Friedlander, ML ; Ramus, SJ (AMER ASSOC CANCER RESEARCH, 2022-12-15)
    PURPOSE: Advanced-stage mucinous ovarian carcinoma (MOC) has poor chemotherapy response and prognosis and lacks biomarkers to aid stage I adjuvant treatment. Differentiating primary MOC from gastrointestinal (GI) metastases to the ovary is also challenging due to phenotypic similarities. Clinicopathologic and gene-expression data were analyzed to identify prognostic and diagnostic features. EXPERIMENTAL DESIGN: Discovery analyses selected 19 genes with prognostic/diagnostic potential. Validation was performed through the Ovarian Tumor Tissue Analysis consortium and GI cancer biobanks comprising 604 patients with MOC (n = 333), mucinous borderline ovarian tumors (MBOT, n = 151), and upper GI (n = 65) and lower GI tumors (n = 55). RESULTS: Infiltrative pattern of invasion was associated with decreased overall survival (OS) within 2 years from diagnosis, compared with expansile pattern in stage I MOC [hazard ratio (HR), 2.77; 95% confidence interval (CI), 1.04-7.41, P = 0.042]. Increased expression of THBS2 and TAGLN was associated with shorter OS in MOC patients (HR, 1.25; 95% CI, 1.04-1.51, P = 0.016) and (HR, 1.21; 95% CI, 1.01-1.45, P = 0.043), respectively. ERBB2 (HER2) amplification or high mRNA expression was evident in 64 of 243 (26%) of MOCs, but only 8 of 243 (3%) were also infiltrative (4/39, 10%) or stage III/IV (4/31, 13%). CONCLUSIONS: An infiltrative growth pattern infers poor prognosis within 2 years from diagnosis and may help select stage I patients for adjuvant therapy. High expression of THBS2 and TAGLN in MOC confers an adverse prognosis and is upregulated in the infiltrative subtype, which warrants further investigation. Anti-HER2 therapy should be investigated in a subset of patients. MOC samples clustered with upper GI, yet markers to differentiate these entities remain elusive, suggesting similar underlying biology and shared treatment strategies.
  • Item
    Thumbnail Image
    Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci
    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 (OXFORD UNIV PRESS INC, 2022-11)
    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.
  • Item
    Thumbnail Image
    Copy number variants as modifiers of breast cancer risk for BRCA1/BRCA2 pathogenic variant carriers
    Hakkaart, C ; Pearson, JF ; Marquart, L ; Dennis, J ; Wiggins, GAR ; Barnes, DR ; Robinson, BA ; Mace, PD ; Aittomaki, K ; Andrulis, IL ; Arun, BK ; Azzollini, J ; Balmana, J ; Barkardottir, RB ; Belhadj, S ; Berger, L ; Blok, MJ ; Boonen, SE ; Borde, J ; Bradbury, AR ; Brunet, J ; Buys, SS ; Caligo, MA ; Campbell, I ; Chung, WK ; Claes, KBM ; Collonge-Rame, M-A ; Cook, J ; Cosgrove, C ; Couch, FJ ; Daly, MB ; Dandiker, S ; Davidson, R ; de la Hoya, M ; de Putter, R ; Delnatte, C ; Dhawan, M ; Diez, O ; Ding, YC ; Domchek, SM ; Donaldson, A ; Eason, J ; Easton, DF ; Ehrencrona, H ; Engel, C ; Evans, DG ; Faust, U ; Feliubadalo, L ; Fostira, F ; Friedman, E ; Frone, M ; Frost, D ; Garber, J ; Gayther, SA ; Gehrig, A ; Gesta, P ; Godwin, AK ; Goldgar, DE ; Greene, MH ; Hahnen, E ; Hake, CR ; Hamann, U ; Hansen, TVO ; Hauke, J ; Hentschel, J ; Herold, N ; Honisch, E ; Hulick, PJ ; Imyanitov, EN ; Isaacs, C ; Izatt, L ; Izquierdo, A ; Jakubowska, A ; James, PA ; Janavicius, R ; John, EM ; Joseph, V ; Karlan, BY ; Kemp, Z ; Kirk, J ; Konstantopoulou, I ; Koudijs, M ; Kwong, A ; Laitman, Y ; Lalloo, F ; Lasset, C ; Lautrup, C ; Lazaro, C ; Legrand, C ; Leslie, G ; Lesueur, F ; Mai, PL ; Manoukian, S ; Mari, V ; Martens, JWM ; McGuffog, L ; Mebirouk, N ; Meindl, A ; Miller, A ; Montagna, M ; Moserle, L ; Mouret-Fourme, E ; Musgrave, H ; Nambot, S ; Nathanson, KL ; Neuhausen, SL ; Nevanlinna, H ; Yie, JNY ; Nguyen-Dumont, T ; Nikitina-Zake, L ; Offit, K ; Olah, E ; Olopade, OI ; Osorio, A ; Ott, C-E ; Park, SK ; Parsons, MT ; Pedersen, IS ; Peixoto, A ; Perez-Segura, P ; Peterlongo, P ; Pocza, T ; Radice, P ; Ramser, J ; Rantala, J ; Rodriguez, GC ; Ronlund, K ; Rosenberg, EH ; Rossing, M ; Schmutzler, RK ; Shah, PD ; Sharif, S ; Sharma, P ; Side, LE ; Simard, J ; Singer, CF ; Snape, K ; Steinemann, D ; Stoppa-Lyonnet, D ; Sutter, C ; Tan, YY ; Teixeira, MR ; Teo, SH ; Thomassen, M ; Thull, DL ; Tischkowitz, M ; Toland, AE ; Trainer, AH ; Tripathi, V ; Tung, N ; van Engelen, K ; van Rensburg, EJ ; Vega, A ; Viel, A ; Walker, L ; Weitzel, JN ; Wevers, MR ; Chenevix-Trench, G ; Spurdle, AB ; Antoniou, AC ; Walker, LC (NATURE PORTFOLIO, 2022-10-06)
    The contribution of germline copy number variants (CNVs) to risk of developing cancer in individuals with pathogenic BRCA1 or BRCA2 variants remains relatively unknown. We conducted the largest genome-wide analysis of CNVs in 15,342 BRCA1 and 10,740 BRCA2 pathogenic variant carriers. We used these results to prioritise a candidate breast cancer risk-modifier gene for laboratory analysis and biological validation. Notably, the HR for deletions in BRCA1 suggested an elevated breast cancer risk estimate (hazard ratio (HR) = 1.21), 95% confidence interval (95% CI = 1.09-1.35) compared with non-CNV pathogenic variants. In contrast, deletions overlapping SULT1A1 suggested a decreased breast cancer risk (HR = 0.73, 95% CI 0.59-0.91) in BRCA1 pathogenic variant carriers. Functional analyses of SULT1A1 showed that reduced mRNA expression in pathogenic BRCA1 variant cells was associated with reduced cellular proliferation and reduced DNA damage after treatment with DNA damaging agents. These data provide evidence that deleterious variants in BRCA1 plus SULT1A1 deletions contribute to variable breast cancer risk in BRCA1 carriers.
  • Item
    Thumbnail Image
    The Clinical and Psychosocial Outcomes for Women Who Received Unexpected Clinically Actionable Germline Information Identified through Research: An Exploratory Sequential Mixed-Methods Comparative Study
    Forrest, LE ; Shepherd, RF ; Tutty, E ; Pearce, A ; Campbell, I ; Devereux, L ; Trainer, AH ; James, PA ; Young, M-A (MDPI, 2022-07)
    Background Research identifying and returning clinically actionable germline variants offer a new avenue of access to genetic information. The psychosocial and clinical outcomes for women who have received this ‘genome-first care’ delivering hereditary breast and ovarian cancer risk information outside of clinical genetics services are unknown. Methods: An exploratory sequential mixed-methods case-control study compared outcomes between women who did (cases; group 1) and did not (controls; group 2) receive clinically actionable genetic information from a research cohort in Victoria, Australia. Participants completed an online survey examining cancer risk perception and worry, and group 1 also completed distress and adaptation measures. Group 1 participants subsequently completed a semi structured interview. Results: Forty-five participants (group 1) and 96 (group 2) completed the online survey, and 31 group 1 participants were interviewed. There were no demographic differences between groups 1 and 2, although more of group 1 participants had children (p = 0.03). Group 1 reported significantly higher breast cancer risk perception (p < 0.001) compared to group 2, and higher cancer worry than group 2 (p < 0.001). Some group 1 participants described how receiving their genetic information heightened their cancer risk perception and exacerbated their cancer worry while waiting for risk-reducing surgery. Group 1 participants reported a MICRA mean score of 27.4 (SD 11.8, range 9−56; possible range 0−95), and an adaptation score of 2.9 (SD = 1.1). Conclusion: There were no adverse psychological outcomes amongst women who received clinically actionable germline information through a model of ‘genome-first’ care compared to those who did not. These findings support the return of clinically actionable research results to research participants.
  • Item
    Thumbnail Image
    Polygenic risk modeling for prediction of epithelial ovarian cancer risk (vol 30, pg 349, 2021)
    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 (SPRINGERNATURE, 2022-05)
  • Item
    Thumbnail Image
    Polygenic risk modeling for prediction of epithelial ovarian cancer risk
    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 (SPRINGERNATURE, 2022-03)
    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.