School of Mathematics and Statistics - Research Publications

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    International network of cancer genome projects
    Hudson, TJ ; Anderson, W ; Aretz, A ; Barker, AD ; Bell, C ; Bernabe, RR ; Bhan, MK ; Calvo, F ; Eerola, I ; Gerhard, DS ; Guttmacher, A ; Guyer, M ; Hemsley, FM ; Jennings, JL ; Kerr, D ; Klatt, P ; Kolar, P ; Kusuda, J ; Lane, DP ; Laplace, F ; Lu, Y ; Nettekoven, G ; Ozenberger, B ; Peterson, J ; Rao, TS ; Remacle, J ; Schafer, AJ ; Shibata, T ; Stratton, MR ; Vockley, JG ; Watanabe, K ; Yang, H ; Yuen, MMF ; Knoppers, M ; Bobrow, M ; Cambon-Thomsen, A ; Dressler, LG ; Dyke, SOM ; Joly, Y ; Kato, K ; Kennedy, KL ; Nicolas, P ; Parker, MJ ; Rial-Sebbag, E ; Romeo-Casabona, CM ; Shaw, KM ; Wallace, S ; Wiesner, GL ; Zeps, N ; Lichter, P ; Biankin, AV ; Chabannon, C ; Chin, L ; Clement, B ; de Alava, E ; Degos, F ; Ferguson, ML ; Geary, P ; Hayes, DN ; Johns, AL ; Nakagawa, H ; Penny, R ; Piris, MA ; Sarin, R ; Scarpa, A ; van de Vijver, M ; Futreal, PA ; Aburatani, H ; Bayes, M ; Bowtell, DDL ; Campbell, PJ ; Estivill, X ; Grimmond, SM ; Gut, I ; Hirst, M ; Lopez-Otin, C ; Majumder, P ; Marra, M ; Ning, Z ; Puente, XS ; Ruan, Y ; Stunnenberg, HG ; Swerdlow, H ; Velculescu, VE ; Wilson, RK ; Xue, HH ; Yang, L ; Spellman, PT ; Bader, GD ; Boutros, PC ; Flicek, P ; Getz, G ; Guigo, R ; Guo, G ; Haussler, D ; Heath, S ; Hubbard, TJ ; Jiang, T ; Jones, SM ; Li, Q ; Lopez-Bigas, N ; Luo, R ; Pearson, JV ; Quesada, V ; Raphael, BJ ; Sander, C ; Speed, TP ; Stuart, JM ; Teague, JW ; Totoki, Y ; Tsunoda, T ; Valencia, A ; Wheeler, DA ; Wu, H ; Zhao, S ; Zhou, G ; Stein, LD ; Lathrop, M ; Ouellette, BFF ; Thomas, G ; Yoshida, T ; Axton, M ; Gunter, C ; McPherson, JD ; Miller, LJ ; Kasprzyk, A ; Zhang, J ; Haider, SA ; Wang, J ; Yung, CK ; Cross, A ; Liang, Y ; Gnaneshan, S ; Guberman, J ; Hsu, J ; Chalmers, DRC ; Hasel, KW ; Kaan, TSH ; Knoppers, BM ; Lowrance, WW ; Masui, T ; Rodriguez, LL ; Vergely, C ; Cloonan, N ; Defazio, A ; Eshleman, JR ; Etemadmoghadam, D ; Gardiner, BA ; Kench, JG ; Sutherland, RL ; Tempero, MA ; Waddell, NJ ; Wilson, PJ ; Gallinger, S ; Tsao, M-S ; Shaw, PA ; Petersen, GM ; Mukhopadhyay, D ; DePinho, RA ; Thayer, S ; Muthuswamy, L ; Shazand, K ; Beck, T ; Sam, M ; Timms, L ; Ballin, V ; Ji, J ; Zhang, X ; Chen, F ; Hu, X ; Yang, Q ; Tian, G ; Zhang, L ; Xing, X ; Li, X ; Zhu, Z ; Yu, Y ; Yu, J ; Tost, J ; Brennan, P ; Holcatova, I ; Zaridze, D ; Brazma, A ; Egevad, L ; Prokhortchouk, E ; Banks, RE ; Uhlen, M ; Viksna, J ; Ponten, F ; Skryabin, K ; Birney, E ; Borg, A ; Borresen-Dale, A-L ; Caldas, C ; Foekens, JA ; Martin, S ; Reis-Filho, JS ; Richardson, AL ; Sotiriou, C ; van't Veer, L ; Birnbaum, D ; Blanche, H ; Boucher, P ; Boyault, S ; Masson-Jacquemier, JD ; Pauporte, I ; Pivot, X ; Vincent-Salomon, A ; Tabone, E ; Theillet, C ; Treilleux, I ; Bioulac-Sage, P ; Decaens, T ; Franco, D ; Gut, M ; Samuel, D ; Zucman-Rossi, J ; Eils, R ; Brors, B ; Korbel, JO ; Korshunov, A ; Landgraf, P ; Lehrach, H ; Pfister, S ; Radlwimmer, B ; Reifenberger, G ; Taylor, MD ; von Kalle, C ; Majumder, PP ; Pederzoli, P ; Lawlor, RT ; Delledonne, M ; Bardelli, A ; Gress, T ; Klimstra, D ; Zamboni, G ; Nakamura, Y ; Miyano, S ; Fujimoto, A ; Campo, E ; de Sanjose, S ; Montserrat, E ; Gonzalez-Diaz, M ; Jares, P ; Himmelbaue, H ; Bea, S ; Aparicio, S ; Easton, DF ; Collins, FS ; Compton, CC ; Lander, ES ; Burke, W ; Green, AR ; Hamilton, SR ; Kallioniemi, OP ; Ley, TJ ; Liu, ET ; Wainwright, BJ (NATURE PORTFOLIO, 2010-04-15)
    The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic, epigenomic and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.
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    Copy Number Analysis Identifies Novel Interactions Between Genomic Loci in Ovarian Cancer
    Gorringe, KL ; George, J ; Anglesio, MS ; Ramakrishna, M ; Etemadmoghadam, D ; Cowin, P ; Sridhar, A ; Williams, LH ; Boyle, SE ; Yanaihara, N ; Okamoto, A ; Urashima, M ; Smyth, GK ; Campbell, IG ; Bowtell, DDL ; Jordan, IK (PUBLIC LIBRARY SCIENCE, 2010-09-10)
    Ovarian cancer is a heterogeneous disease displaying complex genomic alterations, and consequently, it has been difficult to determine the most relevant copy number alterations with the scale of studies to date. We obtained genome-wide copy number alteration (CNA) data from four different SNP array platforms, with a final data set of 398 ovarian tumours, mostly of the serous histological subtype. Frequent CNA aberrations targeted many thousands of genes. However, high-level amplicons and homozygous deletions enabled filtering of this list to the most relevant. The large data set enabled refinement of minimal regions and identification of rare amplicons such as at 1p34 and 20q11. We performed a novel co-occurrence analysis to assess cooperation and exclusivity of CNAs and analysed their relationship to patient outcome. Positive associations were identified between gains on 19 and 20q, gain of 20q and loss of X, and between several regions of loss, particularly 17q. We found weak correlations of CNA at genomic loci such as 19q12 with clinical outcome. We also assessed genomic instability measures and found a correlation of the number of higher amplitude gains with poorer overall survival. By assembling the largest collection of ovarian copy number data to date, we have been able to identify the most frequent aberrations and their interactions.
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    Amplicon-Dependent CCNE1 Expression Is Critical for Clonogenic Survival after Cisplatin Treatment and Is Correlated with 20q11 Gain in Ovarian Cancer
    Etemadmoghadam, D ; George, J ; Cowin, PA ; Cullinane, C ; Kansara, M ; Gorringe, KL ; Smyth, GK ; Bowtell, DDL ; Wong, N (PUBLIC LIBRARY SCIENCE, 2010-11-12)
    Genomic amplification of 19q12 occurs in several cancer types including ovarian cancer where it is associated with primary treatment failure. We systematically attenuated expression of genes within the minimally defined 19q12 region in ovarian cell lines using short-interfering RNAs (siRNA) to identify driver oncogene(s) within the amplicon. Knockdown of CCNE1 resulted in G1/S phase arrest, reduced cell viability and apoptosis only in amplification-carrying cells. Although CCNE1 knockdown increased cisplatin resistance in short-term assays, clonogenic survival was inhibited after treatment. Gain of 20q11 was highly correlated with 19q12 amplification and spanned a 2.5 Mb region including TPX2, a centromeric protein required for mitotic spindle function. Expression of TPX2 was highly correlated with gene amplification and with CCNE1 expression in primary tumors. siRNA inhibition of TPX2 reduced cell viability but this effect was not amplicon-dependent. These findings demonstrate that CCNE1 is a key driver in the 19q12 amplicon required for survival and clonogenicity in cells with locus amplification. Co-amplification at 19q12 and 20q11 implies the presence of a cooperative mutational network. These observations have implications for the application of targeted therapies in CCNE1 dependent ovarian cancers.