Recent submissions

  • Targeting aneuploidy, CIN and mechanisms of DNA content reduction in cancer 

    Mandelia, M (2021-02-28)
    Chromosomal instability (CIN) and aneuploidy are distinct events that can coexist in a tumour and one can result from the other. They can arise through direct errors in mitosis or in DNA damage repair and response machineries, ...
  • Investigating a range of late effects of Hodgkin lymphoma treatments 

    Macklin-Doherty, A (2021-01-31)
    Dramatic improvement in Hodgkin lymphoma (HL) survival rates over recent decades has come at significant cost: treatment-related late effects which are epitomised in female HL patients treated at young ages. The aims of ...
  • Marital status and prostate cancer incidence: a pooled analysis of 12 case-control studies from the PRACTICAL consortium. 

    Salmon, C; Song, L; Muir, K; UKGPCS Collaborators; Pashayan, N; Dunning, AM; Batra, J; APCB BioResource (Australian Prostate Cancer BioResource); Chambers, S; Stanford, JL; Ostrander, EA; Park, JY; Lin, H-Y; Cussenot, O; Cancel-Tassin, G; Menegaux, F; Cordina-Duverger, E; Kogevinas, M; Llorca, J; Kaneva, R; Slavov, C; Razack, A; Lim, J; Gago-Dominguez, M; Castelao, JE; Kote-Jarai, Z; Eeles, RA; on behalf of the PRACTICAL Consortium; Parent, M-É (2021-07-18)
    While being in a committed relationship is associated with a better prostate cancer prognosis, little is known about how marital status relates to its incidence. Social support provided by marriage/relationship could promote ...
  • Combined Effect of a Polygenic Risk Score and Rare Genetic Variants on Prostate Cancer Risk. 

    Darst, BF; Sheng, X; Eeles, RA; Kote-Jarai, Z; Conti, DV; Haiman, CA
    Although prostate cancer is known to have a strong genetic basis and is influenced by both common and rare variants, the ability to investigate the combined effect of such genetic risk factors has been limited to date. We ...
  • The effect of sample size on polygenic hazard models for prostate cancer. 

    Karunamuni, RA; Huynh-Le, M-P; Fan, CC; Eeles, RA; Easton, DF; Kote-Jarai, Z; Amin Al Olama, A; Benlloch Garcia, S; Muir, K; Gronberg, H; Wiklund, F; Aly, M; Schleutker, J; Sipeky, C; Tammela, TLJ; Nordestgaard, BG; Key, TJ; Travis, RC; Neal, DE; Donovan, JL; Hamdy, FC; Pharoah, P; Pashayan, N; Khaw, K-T; Thibodeau, SN; McDonnell, SK; Schaid, DJ; Maier, C; Vogel, W; Luedeke, M; Herkommer, K; Kibel, AS; Cybulski, C; Wokolorczyk, D; Kluzniak, W; Cannon-Albright, L; Brenner, H; Schöttker, B; Holleczek, B; Park, JY; Sellers, TA; Lin, H-Y; Slavov, C; Kaneva, R; Mitev, V; Batra, J; Clements, JA; Spurdle, A; Australian Prostate Cancer BioResource (APCB); Teixeira, MR; Paulo, P; Maia, S; Pandha, H; Michael, A; Mills, IG; Andreassen, OA; Dale, AM; Seibert, TM; PRACTICAL Consortium
    We determined the effect of sample size on performance of polygenic hazard score (PHS) models in prostate cancer. Age and genotypes were obtained for 40,861 men from the PRACTICAL consortium. The dataset included 201,590 ...
  • The BARCODE1 Pilot: a feasibility study of using germline single nucleotide polymorphisms to target prostate cancer screening. 

    Benafif, S; Ni Raghallaigh, H; McGrowder, E; Saunders, EJ; Brook, MN; Saya, S; Rageevakumar, R; Wakerell, S; James, D; Chamberlain, A; Taylor, N; Hogben, M; Benton, B; D'Mello, L; Myhill, K; Mikropoulos, C; Bowen-Perkins, H; Rafi, I; Ferris, M; Beattie, A; Kuganolipava, S; Sevenoaks, T; Bower, J; Kumar, P; Hazell, S; deSouza, NM; Antoniou, A; Bancroft, E; Kote-Jarai, Z; Eeles, R (2021-07-02)
    <h4>Objectives</h4>To assess the feasibility and uptake of a community-based prostate cancer (PCa) screening programme selecting men according to their genetic risk of PCa. To assess the uptake of PCa screening investigations ...
  • Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction. 

    Conti, DV; Darst, BF; Moss, LC; Saunders, EJ; Sheng, X; Chou, A; Schumacher, FR; Olama, AAA; Benlloch, S; Dadaev, T; Brook, MN; Sahimi, A; Hoffmann, TJ; Takahashi, A; Matsuda, K; Momozawa, Y; Fujita, M; Muir, K; Lophatananon, A; Wan, P; Le Marchand, L; Wilkens, LR; Stevens, VL; Gapstur, SM; Carter, BD; Schleutker, J; Tammela, TLJ; Sipeky, C; Auvinen, A; Giles, GG; Southey, MC; MacInnis, RJ; Cybulski, C; Wokołorczyk, D; Lubiński, J; Neal, DE; Donovan, JL; Hamdy, FC; Martin, RM; Nordestgaard, BG; Nielsen, SF; Weischer, M; Bojesen, SE; Røder, MA; Iversen, P; Batra, J; Chambers, S; Moya, L; Horvath, L; Clements, JA; Tilley, W; Risbridger, GP; Gronberg, H; Aly, M; Szulkin, R; Eklund, M; Nordström, T; Pashayan, N; Dunning, AM; Ghoussaini, M; Travis, RC; Key, TJ; Riboli, E; Park, JY; Sellers, TA; Lin, H-Y; Albanes, D; Weinstein, SJ; Mucci, LA; Giovannucci, E; Lindstrom, S; Kraft, P; Hunter, DJ; Penney, KL; Turman, C; Tangen, CM; Goodman, PJ; Thompson, IM; Hamilton, RJ; Fleshner, NE; Finelli, A; Parent, M-É; Stanford, JL; Ostrander, EA; Geybels, MS; Koutros, S; Freeman, LEB; Stampfer, M; Wolk, A; Håkansson, N; Andriole, GL; Hoover, RN; Machiela, MJ; Sørensen, KD; Borre, M; Blot, WJ; Zheng, W; Yeboah, ED; Mensah, JE; Lu, Y-J; Zhang, H-W; Feng, N; Mao, X; Wu, Y; Zhao, S-C; Sun, Z; Thibodeau, SN; McDonnell, SK; Schaid, DJ; West, CML; Burnet, N; Barnett, G; Maier, C; Schnoeller, T; Luedeke, M; Kibel, AS; Drake, BF; Cussenot, O; Cancel-Tassin, G; Menegaux, F; Truong, T; Koudou, YA; John, EM; Grindedal, EM; Maehle, L; Khaw, K-T; Ingles, SA; Stern, MC; Vega, A; Gómez-Caamaño, A; Fachal, L; Rosenstein, BS; Kerns, SL; Ostrer, H; Teixeira, MR; Paulo, P; Brandão, A; Watya, S; Lubwama, A; Bensen, JT; Fontham, ETH; Mohler, J; Taylor, JA; Kogevinas, M; Llorca, J; Castaño-Vinyals, G; Cannon-Albright, L; Teerlink, CC; Huff, CD; Strom, SS; Multigner, L; Blanchet, P; Brureau, L; Kaneva, R; Slavov, C; Mitev, V; Leach, RJ; Weaver, B; Brenner, H; Cuk, K; Holleczek, B; Saum, K-U; Klein, EA; Hsing, AW; Kittles, RA; Murphy, AB; Logothetis, CJ; Kim, J; Neuhausen, SL; Steele, L; Ding, YC; Isaacs, WB; Nemesure, B; Hennis, AJM; Carpten, J; Pandha, H; Michael, A; De Ruyck, K; De Meerleer, G; Ost, P; Xu, J; Razack, A; Lim, J; Teo, S-H; Newcomb, LF; Lin, DW; Fowke, JH; Neslund-Dudas, C; Rybicki, BA; Gamulin, M; Lessel, D; Kulis, T; Usmani, N; Singhal, S; Parliament, M; Claessens, F; Joniau, S; Van den Broeck, T; Gago-Dominguez, M; Castelao, JE; Martinez, ME; Larkin, S; Townsend, PA; Aukim-Hastie, C; Bush, WS; Aldrich, MC; Crawford, DC; Srivastava, S; Cullen, JC; Petrovics, G; Casey, G; Roobol, MJ; Jenster, G; van Schaik, RHN; Hu, JJ; Sanderson, M; Varma, R; McKean-Cowdin, R; Torres, M; Mancuso, N; Berndt, SI; Van Den Eeden, SK; Easton, DF; Chanock, SJ; Cook, MB; Wiklund, F; Nakagawa, H; Witte, JS; Eeles, RA; Kote-Jarai, Z; Haiman, CA (2021-01-04)
    Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 ...
  • Oncologically Relevant Findings Reporting and Data System (ONCO-RADS): Guidelines for the Acquisition, Interpretation, and Reporting of Whole-Body MRI for Cancer Screening. 

    Petralia, G; Koh, D-M; Attariwala, R; Busch, JJ; Eeles, R; Karow, D; Lo, GG; Messiou, C; Sala, E; Vargas, HA; Zugni, F; Padhani, AR (2021-06)
    Acknowledging the increasing number of studies describing the use of whole-body MRI for cancer screening, and the increasing number of examinations being performed in patients with known cancers, an international ...
  • Chromosome 1q21 abnormalities refine outcome prediction in patients with multiple myeloma - a meta-analysis of 2,596 trial patients. 

    Weinhold, N; Salwender, HJ; Cairns, DA; Raab, MS; Waldron, G; Blau, IW; Bertsch, U; Hielscher, T; Morgan, GJ; Jauch, A; Davies, FE; Hänel, M; Cook, G; Scheid, C; Houlston, R; Goldschmidt, H; Jackson, G; Kaiser, MF (2021-06-03)
    Not available.
  • The predictive ability of the 313 variant-based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant. 

    Lakeman, IMM; van den Broek, AJ; Vos, JAM; Barnes, DR; Adlard, J; Andrulis, IL; Arason, A; Arnold, N; Arun, BK; Balmaña, J; Barrowdale, D; Benitez, J; Borg, A; Caldés, T; Caligo, MA; Chung, WK; Claes, KBM; GEMO Study Collaborators; EMBRACE Collaborators; Collée, JM; Couch, FJ; Daly, MB; Dennis, J; Dhawan, M; Domchek, SM; Eeles, R; Engel, C; Evans, DG; Feliubadaló, L; Foretova, L; Friedman, E; Frost, D; Ganz, PA; Garber, J; Gayther, SA; Gerdes, A-M; Godwin, AK; Goldgar, DE; Hahnen, E; Hake, CR; Hamann, U; Hogervorst, FBL; Hooning, MJ; Hopper, JL; Hulick, PJ; Imyanitov, EN; OCGN Investigators; HEBON Investigators; KconFab Investigators; Isaacs, C; Izatt, L; Jakubowska, A; James, PA; Janavicius, R; Jensen, UB; Jiao, Y; John, EM; Joseph, V; Karlan, BY; Kets, CM; Konstantopoulou, I; Kwong, A; Legrand, C; Leslie, G; Lesueur, F; Loud, JT; Lubiński, J; Manoukian, S; McGuffog, L; Miller, A; Gomes, DM; Montagna, M; Mouret-Fourme, E; Nathanson, KL; Neuhausen, SL; Nevanlinna, H; Yie, JNY; Olah, E; Olopade, OI; Park, SK; Parsons, MT; Peterlongo, P; Piedmonte, M; Radice, P; Rantala, J; Rennert, G; Risch, HA; Schmutzler, RK; Sharma, P; Simard, J; Singer, CF; Stadler, Z; Stoppa-Lyonnet, D; Sutter, C; Tan, YY; Teixeira, MR; Teo, SH; Teulé, A; Thomassen, M; Thull, DL; Tischkowitz, M; Toland, AE; Tung, N; van Rensburg, EJ; Vega, A; Wappenschmidt, B; Devilee, P; van Asperen, CJ; Bernstein, JL; Offit, K; Easton, DF; Rookus, MA; Chenevix-Trench, G; Antoniou, AC; Robson, M; Schmidt, MK (2021-06-10)
    <h4>Purpose</h4>To evaluate the association between a previously published 313 variant-based breast cancer (BC) polygenic risk score (PRS<sub>313</sub>) and contralateral breast cancer (CBC) risk, in BRCA1 and BRCA2 ...
  • Functional annotation of the 2q35 breast cancer risk locus implicates a structural variant in influencing activity of a long-range enhancer element. 

    Baxter, JS; Johnson, N; Tomczyk, K; Gillespie, A; Maguire, S; Brough, R; Fachal, L; Michailidou, K; Bolla, MK; Wang, Q; Dennis, J; Ahearn, TU; Andrulis, IL; Anton-Culver, H; Antonenkova, NN; Arndt, V; Aronson, KJ; Augustinsson, A; Becher, H; Beckmann, MW; Behrens, S; Benitez, J; Bermisheva, M; Bogdanova, NV; Bojesen, SE; Brenner, H; Brucker, SY; Cai, Q; Campa, D; Canzian, F; Castelao, JE; Chan, TL; Chang-Claude, J; Chanock, SJ; Chenevix-Trench, G; Choi, J-Y; Clarke, CL; NBCS Collaborators; Colonna, S; Conroy, DM; Couch, FJ; Cox, A; Cross, SS; Czene, K; Daly, MB; Devilee, P; Dörk, T; Dossus, L; Dwek, M; Eccles, DM; Ekici, AB; Eliassen, AH; Engel, C; Fasching, PA; Figueroa, J; Flyger, H; Gago-Dominguez, M; Gao, C; García-Closas, M; García-Sáenz, JA; Ghoussaini, M; Giles, GG; Goldberg, MS; González-Neira, A; Guénel, P; Gündert, M; Haeberle, L; Hahnen, E; Haiman, CA; Hall, P; Hamann, U; Hartman, M; Hatse, S; Hauke, J; Hollestelle, A; Hoppe, R; Hopper, JL; Hou, M-F; kConFab Investigators; ABCTB Investigators; Ito, H; Iwasaki, M; Jager, A; Jakubowska, A; Janni, W; John, EM; Joseph, V; Jung, A; Kaaks, R; Kang, D; Keeman, R; Khusnutdinova, E; Kim, S-W; Kosma, V-M; Kraft, P; Kristensen, VN; Kubelka-Sabit, K; Kurian, AW; Kwong, A; Lacey, JV; Lambrechts, D; Larson, NL; Larsson, SC; Le Marchand, L; Lejbkowicz, F; Li, J; Long, J; Lophatananon, A; Lubiński, J; Mannermaa, A; Manoochehri, M; Manoukian, S; Margolin, S; Matsuo, K; Mavroudis, D; Mayes, R; Menon, U; Milne, RL; Mohd Taib, NA; Muir, K; Muranen, TA; Murphy, RA; Nevanlinna, H; O'Brien, KM; Offit, K; Olson, JE; Olsson, H; Park, SK; Park-Simon, T-W; Patel, AV; Peterlongo, P; Peto, J; Plaseska-Karanfilska, D; Presneau, N; Pylkäs, K; Rack, B; Rennert, G; Romero, A; Ruebner, M; Rüdiger, T; Saloustros, E; Sandler, DP; Sawyer, EJ; Schmidt, MK; Schmutzler, RK; Schneeweiss, A; Schoemaker, MJ; Shah, M; Shen, C-Y; Shu, X-O; Simard, J; Southey, MC; Stone, J; Surowy, H; Swerdlow, AJ; Tamimi, RM; Tapper, WJ; Taylor, JA; Teo, SH; Teras, LR; Terry, MB; Toland, AE; Tomlinson, I; Truong, T; Tseng, C-C; Untch, M; Vachon, CM; van den Ouweland, AMW; Wang, SS; Weinberg, CR; Wendt, C; Winham, SJ; Winqvist, R; Wolk, A; Wu, AH; Yamaji, T; Zheng, W; Ziogas, A; Pharoah, PDP; Dunning, AM; Easton, DF; Pettitt, SJ; Lord, CJ; Haider, S; Orr, N; Fletcher, O
    A combination of genetic and functional approaches has identified three independent breast cancer risk loci at 2q35. A recent fine-scale mapping analysis to refine these associations resulted in 1 (signal 1), 5 (signal 2), ...
  • Germline variants at SOHLH2 influence multiple myeloma risk. 

    Duran-Lozano, L; Thorleifsson, G; Lopez de Lapuente Portilla, A; Niroula, A; Went, M; Thodberg, M; Pertesi, M; Ajore, R; Cafaro, C; Olason, PI; Stefansdottir, L; Bragi Walters, G; Halldorsson, GH; Turesson, I; Kaiser, MF; Weinhold, N; Abildgaard, N; Andersen, NF; Mellqvist, U-H; Waage, A; Juul-Vangsted, A; Thorsteinsdottir, U; Hansson, M; Houlston, R; Rafnar, T; Stefansson, K; Nilsson, B (2021-04-19)
    Multiple myeloma (MM) is caused by the uncontrolled, clonal expansion of plasma cells. While there is epidemiological evidence for inherited susceptibility, the molecular basis remains incompletely understood. We report a ...
  • Comparative performance of lung cancer risk models to define lung screening eligibility in the United Kingdom. 

    Robbins, HA; Alcala, K; Swerdlow, AJ; Schoemaker, MJ; Wareham, N; Travis, RC; Crosbie, PAJ; Callister, M; Baldwin, DR; Landy, R; Johansson, M
    <h4>Background</h4>The National Health Service England (NHS) classifies individuals as eligible for lung cancer screening using two risk prediction models, PLCOm2012 and Liverpool Lung Project-v2 (LLPv2). However, no study ...
  • Partitioned glioma heritability shows subtype-specific enrichment in immune cells. 

    Ostrom, QT; Edelson, J; Byun, J; Han, Y; Kinnersley, B; Melin, B; Houlston, RS; Monje, M; Walsh, KM; Amos, CI; Bondy, ML (2021-03-20)
    <h4>Background</h4>Epidemiological studies of adult glioma have identified genetic syndromes and 25 heritable risk loci that modify individual risk for glioma, as well increased risk in association with exposure to ionizing ...
  • Alcohol Intake and Alcohol-SNP Interactions Associated with Prostate Cancer Aggressiveness. 

    Lin, H-Y; Wang, X; Tseng, T-S; Kao, Y-H; Fang, Z; Molina, PE; Cheng, C-H; Berglund, AE; Eeles, RA; Muir, KR; Pashayan, N; Haiman, CA; Brenner, H; Consortium, TP; Park, JY (2021-02-02)
    Excessive alcohol intake is a well-known modifiable risk factor for many cancers. It is still unclear whether genetic variants or single nucleotide polymorphisms (SNPs) can modify alcohol intake's impact on prostate cancer ...
  • Deciphering genetic susceptibility to multiple myeloma 

    Went, M (2020-09-30)
    Multiple myeloma (MM) is a malignancy characterised by the clonal expansion of plasma cells primarily from the bone marrow. The two- to four-fold increased risk observed in relatives of MM patients provides support for ...
  • Response to first vaccination against SARS-CoV-2 in patients with multiple myeloma. 

    Bird, S; Panopoulou, A; Shea, RL; Tsui, M; Saso, R; Sud, A; West, S; Smith, K; Barwood, J; Kaczmarek, E; Panlaqui, C; Kaiser, M; Stern, S; Pawlyn, C; Boyd, K (2021-04-19)
  • The use of germline genetic profiles to guide prostate cancer targeted screening and cancer care 

    Benafif, S (2020-09-30)
    The genetic heritability of prostate cancer is contributed to by rarely occurring but high penetrant genetic variants, and moderate to commonly occurring variants conferring lower risks. Genome wide association studies and ...
  • Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry. 

    Pal Choudhury, P; Brook, MN; Hurson, AN; Lee, A; Mulder, CV; Coulson, P; Schoemaker, MJ; Jones, ME; Swerdlow, AJ; Chatterjee, N; Antoniou, AC; Garcia-Closas, M (2021-02-15)
    <h4>Background</h4>The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) and the Tyrer-Cuzick breast cancer risk prediction models are commonly used in clinical practice and have ...

View more