@article{BlancoKuchenbaeckerCuadrasetal.2015,
  author    = {Blanco, Ignacio and Kuchenbaecker, Karoline and Cuadras, Daniel and Wang, Xianshu and Barrowdale, Daniel and Ruiz de Garibay, Gorka and Librado, Pablo and Sanchez-Gracia, Alejandro and Rozas, Julio and Bonifaci, N{\´u}ria and McGuffog, Lesley and Pankratz, Vernon S. and Islam, Abul and Mateo, Francesca and Berenguer, Antoni and Petit, Anna and Catal{\`a}, Isabel and Brunet, Joan and Feliubadal{\´o}, Lidia and Tornero, Eva and Ben{\´i}tez, Javier and Osorio, Ana and Ram{\´o}n y Cajal, Teresa and Nevanlinna, Heli and Aittom{\"a}ki, Kristina and Arun, Banu K. and Toland, Amanda E. and Karlan, Beth Y. and Walsh, Christine and Lester, Jenny and Greene, Mark H. and Mai, Phuong L. and Nussbaum, Robert L. and Andrulis, Irene L. and Domchek, Susan M. and Nathanson, Katherine L. and Rebbeck, Timothy R. and Barkardottir, Rosa B. and Jakubowska, Anna and Lubinski, Jan and Durda, Katarzyna and Jaworska-Bieniek, Katarzyna and Claes, Kathleen and Van Maerken, Tom and D{\´i}ez, Orland and Hansen, Thomas V. and J{\o}nson, Lars and Gerdes, Anne-Marie and Ejlertsen, Bent and De la Hoya, Miguel and Cald{\´e}s, Trinidad and Dunning, Alison M. and Oliver, Clare and Fineberg, Elena and Cook, Margaret and Peock, Susan and McCann, Emma and Murray, Alex and Jacobs, Chris and Pichert, Gabriella and Lalloo, Fiona and Chu, Carol and Dorkins, Huw and Paterson, Joan and Ong, Kai-Ren and Teixeira, Manuel R. and Hogervorst, Frans B. L. and Van der Hout, Annemarie H. and Seynaeve, Caroline and Van der Luijt, Rob B. and Ligtenberg, Marjolijn J. L. and Devilee, Peter and Wijnen, Juul T. and Rookus, Matti A. and Meijers-Heijboer, Hanne E. J. and Blok, Marinus J. and Van den Ouweland, Ans M. W. and Aalfs, Cora M. and Rodriguez, Gustavo C. and Phillips, Kelly-Anne A. and Piedmonte, Marion and Nerenstone, Stacy R. and Bae-Jump, Victoria L. and O'Malley, David M. and Schmutzler, Rita K. and Wappenschmidt, Barbara and Rhiem, Kerstin and Engel, Christoph and Meindl, Alfons and Ditsch, Nina and Arnold, Norbert and Plendl, Hansjoerg J. and Niederacher, Dieter and Sutter, Christian and Wang-Gohrke, Shan and Steinemann, Doris and Preisler-Adams, Sabine and Kast, Karin and Varon-Mateeva, Raymonda and Gehrig, Andrea and Bojesen, Anders and Pedersen, Inge Sokilde and Sunde, Lone and Birk Jensen, Uffe and Thomassen, Mads and Kruse, Torben A. and Foretova, Lenka and Peterlongo, Paolo and Bernard, Loris and Peissel, Bernard and Scuvera, Giulietta and Manoukian, Siranoush and Radice, Paolo and Ottini, Laura and Montagna, Marco and Agata, Simona and Maugard, Christine and Simard, Jacques and Soucy, Penny and Berger, Andreas and Fink-Retter, Anneliese and Singer, Christian F. and Rappaport, Christine and Geschwantler-Kaulich, Daphne and Tea, Muy-Kheng and Pfeiler, Georg and John, Esther M. and Miron, Alex and Neuhausen, Susan L. and Terry, Mary Beth and Chung, Wendy K. and Daly, Mary B. and Goldgar, David E. and Janavicius, Ramunas and Dorfling, Cecilia M. and Van Rensburg, Elisabeth J. and Fostira, Florentia and Konstantopoulou, Irene and Garber, Judy and Godwin, Andrew K. and Olah, Edith and Narod, Steven A. and Rennert, Gad and Paluch, Shani Shimon and Laitman, Yael and Friedman, Eitan and Liljegren, Annelie and Rantala, Johanna and Stenmark-Askmalm, Marie and Loman, Niklas and Imyanitov, Evgeny N. and Hamann, Ute and Spurdle, Amanda B. and Healey, Sue and Weitzel, Jeffrey N. and Herzog, Josef and Margileth, David and Gorrini, Chiara and Esteller, Manel and G{\´o}mez, Antonio and Sayols, Sergi and Vidal, Enrique and Heyn, Holger and Stoppa-Lyonnet, Dominique and L{\´e}on{\´e}, Melanie and Barjhoux, Laure and Fassy-Colcombet, Marion and Pauw, Antoine de and Lasset, Christine and Fert Ferrer, Sandra and Castera, Laurent and Berthet, Pascaline and Cornelis, Fran{\c{c}}ois and Bignon, Yves-Jean and Damiola, Francesca and Mazoyer, Sylvie and Sinilnikova, Olga M. and Maxwell, Christopher A. and Vijai, Joseph and Robson, Mark and Kauff, Noah and Corines, Marina J. and Villano, Danylko and Cunningham, Julie and Lee, Adam and Lindor, Noralane and L{\´a}zaro, Conxi and Easton, Douglas F. and Offit, Kenneth and Chenevix-Trench, Georgia and Couch, Fergus J. and Antoniou, Antonis C. and Pujana, Miguel Angel},
  title     = {Assessing associations between the AURKA-HMMR-TPX2-TUBG1 functional module and breast cancer risk in BRCA1/2 mutation carriers},
  series = {PLoS ONE},
  volume    = {10},
  journal   = {PLoS ONE},
  number    = {4},
  doi       = {10.1371/journal.pone.0120020},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-143469},
  pages     = {e0120020},
  year      = {2015},
  abstract  = {While interplay between BRCA1 and AURKA-RHAMM-TPX2-TUBG1 regulates mammary epithelial polarization, common genetic variation in HMMR (gene product RHAMM) may be associated with risk of breast cancer in BRCA1 mutation carriers. Following on these observations, we further assessed the link between the AURKA-HMMR-TPX2-TUBG1 functional module and risk of breast cancer in BRCA1 or BRCA2 mutation carriers. Forty-one single nucleotide polymorphisms (SNPs) were genotyped in 15,252 BRCA1 and 8,211 BRCA2 mutation carriers and subsequently analyzed using a retrospective likelihood approach. The association of HMMR rs299290 with breast cancer risk in BRCA1 mutation carriers was confirmed: per-allele hazard ratio (HR) = 1.10, 95\% confidence interval (CI) 1.04 - 1.15, p = 1.9 x 10\(^{-4}\) (false discovery rate (FDR)-adjusted p = 0.043). Variation in CSTF1, located next to AURKA, was also found to be associated with breast cancer risk in BRCA2 mutation carriers: rs2426618 per-allele HR = 1.10, 95\% CI 1.03 - 1.16, p = 0.005 (FDR-adjusted p = 0.045). Assessment of pairwise interactions provided suggestions (FDR-adjusted p\(_{interaction}\) values > 0.05) for deviations from the multiplicative model for rs299290 and CSTF1 rs6064391, and rs299290 and TUBG1 rs11649877 in both BRCA1 and BRCA2 mutation carriers. Following these suggestions, the expression of HMMR and AURKA or TUBG1 in sporadic breast tumors was found to potentially interact, influencing patients' survival. Together, the results of this study support the hypothesis of a causative link between altered function of AURKA-HMMR-TPX2-TUBG1 and breast carcinogenesis in BRCA1/2 mutation carriers.},
  language  = {en}
}
@article{StaigerCadotKooteretal.2012,
  author    = {Staiger, Christine and Cadot, Sidney and Kooter, Raul and Dittrich, Marcus and M{\"u}ller, Tobias and Klau, Gunnar W. and Wessels, Lodewyk F. A.},
  title     = {A Critical Evaluation of Network and Pathway-Based Classifiers for Outcome Prediction in Breast Cancer},
  series = {PLoS One},
  volume    = {7},
  journal   = {PLoS One},
  number    = {4},
  doi       = {10.1371/journal.pone.0034796},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131323},
  pages     = {e34796},
  year      = {2012},
  abstract  = {Recently, several classifiers that combine primary tumor data, like gene expression data, and secondary data sources, such as protein-protein interaction networks, have been proposed for predicting outcome in breast cancer. In these approaches, new composite features are typically constructed by aggregating the expression levels of several genes. The secondary data sources are employed to guide this aggregation. Although many studies claim that these approaches improve classification performance over single genes classifiers, the gain in performance is difficult to assess. This stems mainly from the fact that different breast cancer data sets and validation procedures are employed to assess the performance. Here we address these issues by employing a large cohort of six breast cancer data sets as benchmark set and by performing an unbiased evaluation of the classification accuracies of the different approaches. Contrary to previous claims, we find that composite feature classifiers do not outperform simple single genes classifiers. We investigate the effect of (1) the number of selected features; (2) the specific gene set from which features are selected; (3) the size of the training set and (4) the heterogeneity of the data set on the performance of composite feature and single genes classifiers. Strikingly, we find that randomization of secondary data sources, which destroys all biological information in these sources, does not result in a deterioration in performance of composite feature classifiers. Finally, we show that when a proper correction for gene set size is performed, the stability of single genes sets is similar to the stability of composite feature sets. Based on these results there is currently no reason to prefer prognostic classifiers based on composite features over single genes classifiers for predicting outcome in breast cancer.},
  language  = {en}
}