TY  - JOUR
A1  - Blanco, Ignacio
A1  - Kuchenbaecker, Karoline
A1  - Cuadras, Daniel
A1  - Wang, Xianshu
A1  - Barrowdale, Daniel
A1  - Ruiz de Garibay, Gorka
A1  - Librado, Pablo
A1  - Sanchez-Gracia, Alejandro
A1  - Rozas, Julio
A1  - Bonifaci, Núria
A1  - McGuffog, Lesley
A1  - Pankratz, Vernon S.
A1  - Islam, Abul
A1  - Mateo, Francesca
A1  - Berenguer, Antoni
A1  - Petit, Anna
A1  - Català, Isabel
A1  - Brunet, Joan
A1  - Feliubadaló, Lidia
A1  - Tornero, Eva
A1  - Benítez, Javier
A1  - Osorio, Ana
A1  - Ramón y Cajal, Teresa
A1  - Nevanlinna, Heli
A1  - Aittomäki, Kristina
A1  - Arun, Banu K.
A1  - Toland, Amanda E.
A1  - Karlan, Beth Y.
A1  - Walsh, Christine
A1  - Lester, Jenny
A1  - Greene, Mark H.
A1  - Mai, Phuong L.
A1  - Nussbaum, Robert L.
A1  - Andrulis, Irene L.
A1  - Domchek, Susan M.
A1  - Nathanson, Katherine L.
A1  - Rebbeck, Timothy R.
A1  - Barkardottir, Rosa B.
A1  - Jakubowska, Anna
A1  - Lubinski, Jan
A1  - Durda, Katarzyna
A1  - Jaworska-Bieniek, Katarzyna
A1  - Claes, Kathleen
A1  - Van Maerken, Tom
A1  - Díez, Orland
A1  - Hansen, Thomas V.
A1  - Jønson, Lars
A1  - Gerdes, Anne-Marie
A1  - Ejlertsen, Bent
A1  - De la Hoya, Miguel
A1  - Caldés, Trinidad
A1  - Dunning, Alison M.
A1  - Oliver, Clare
A1  - Fineberg, Elena
A1  - Cook, Margaret
A1  - Peock, Susan
A1  - McCann, Emma
A1  - Murray, Alex
A1  - Jacobs, Chris
A1  - Pichert, Gabriella
A1  - Lalloo, Fiona
A1  - Chu, Carol
A1  - Dorkins, Huw
A1  - Paterson, Joan
A1  - Ong, Kai-Ren
A1  - Teixeira, Manuel R.
A1  - Hogervorst, Frans B. L.
A1  - Van der Hout, Annemarie H.
A1  - Seynaeve, Caroline
A1  - Van der Luijt, Rob B.
A1  - Ligtenberg, Marjolijn J. L.
A1  - Devilee, Peter
A1  - Wijnen, Juul T.
A1  - Rookus, Matti A.
A1  - Meijers-Heijboer, Hanne E. J.
A1  - Blok, Marinus J.
A1  - Van den Ouweland, Ans M. W.
A1  - Aalfs, Cora M.
A1  - Rodriguez, Gustavo C.
A1  - Phillips, Kelly-Anne A.
A1  - Piedmonte, Marion
A1  - Nerenstone, Stacy R.
A1  - Bae-Jump, Victoria L.
A1  - O'Malley, David M.
A1  - Schmutzler, Rita K.
A1  - Wappenschmidt, Barbara
A1  - Rhiem, Kerstin
A1  - Engel, Christoph
A1  - Meindl, Alfons
A1  - Ditsch, Nina
A1  - Arnold, Norbert
A1  - Plendl, Hansjoerg J.
A1  - Niederacher, Dieter
A1  - Sutter, Christian
A1  - Wang-Gohrke, Shan
A1  - Steinemann, Doris
A1  - Preisler-Adams, Sabine
A1  - Kast, Karin
A1  - Varon-Mateeva, Raymonda
A1  - Gehrig, Andrea
A1  - Bojesen, Anders
A1  - Pedersen, Inge Sokilde
A1  - Sunde, Lone
A1  - Birk Jensen, Uffe
A1  - Thomassen, Mads
A1  - Kruse, Torben A.
A1  - Foretova, Lenka
A1  - Peterlongo, Paolo
A1  - Bernard, Loris
A1  - Peissel, Bernard
A1  - Scuvera, Giulietta
A1  - Manoukian, Siranoush
A1  - Radice, Paolo
A1  - Ottini, Laura
A1  - Montagna, Marco
A1  - Agata, Simona
A1  - Maugard, Christine
A1  - Simard, Jacques
A1  - Soucy, Penny
A1  - Berger, Andreas
A1  - Fink-Retter, Anneliese
A1  - Singer, Christian F.
A1  - Rappaport, Christine
A1  - Geschwantler-Kaulich, Daphne
A1  - Tea, Muy-Kheng
A1  - Pfeiler, Georg
A1  - John, Esther M.
A1  - Miron, Alex
A1  - Neuhausen, Susan L.
A1  - Terry, Mary Beth
A1  - Chung, Wendy K.
A1  - Daly, Mary B.
A1  - Goldgar, David E.
A1  - Janavicius, Ramunas
A1  - Dorfling, Cecilia M.
A1  - Van Rensburg, Elisabeth J.
A1  - Fostira, Florentia
A1  - Konstantopoulou, Irene
A1  - Garber, Judy
A1  - Godwin, Andrew K.
A1  - Olah, Edith
A1  - Narod, Steven A.
A1  - Rennert, Gad
A1  - Paluch, Shani Shimon
A1  - Laitman, Yael
A1  - Friedman, Eitan
A1  - Liljegren, Annelie
A1  - Rantala, Johanna
A1  - Stenmark-Askmalm, Marie
A1  - Loman, Niklas
A1  - Imyanitov, Evgeny N.
A1  - Hamann, Ute
A1  - Spurdle, Amanda B.
A1  - Healey, Sue
A1  - Weitzel, Jeffrey N.
A1  - Herzog, Josef
A1  - Margileth, David
A1  - Gorrini, Chiara
A1  - Esteller, Manel
A1  - Gómez, Antonio
A1  - Sayols, Sergi
A1  - Vidal, Enrique
A1  - Heyn, Holger
A1  - Stoppa-Lyonnet, Dominique
A1  - Léoné, Melanie
A1  - Barjhoux, Laure
A1  - Fassy-Colcombet, Marion
A1  - Pauw, Antoine de
A1  - Lasset, Christine
A1  - Fert Ferrer, Sandra
A1  - Castera, Laurent
A1  - Berthet, Pascaline
A1  - Cornelis, François
A1  - Bignon, Yves-Jean
A1  - Damiola, Francesca
A1  - Mazoyer, Sylvie
A1  - Sinilnikova, Olga M.
A1  - Maxwell, Christopher A.
A1  - Vijai, Joseph
A1  - Robson, Mark
A1  - Kauff, Noah
A1  - Corines, Marina J.
A1  - Villano, Danylko
A1  - Cunningham, Julie
A1  - Lee, Adam
A1  - Lindor, Noralane
A1  - Lázaro, Conxi
A1  - Easton, Douglas F.
A1  - Offit, Kenneth
A1  - Chenevix-Trench, Georgia
A1  - Couch, Fergus J.
A1  - Antoniou, Antonis C.
A1  - Pujana, Miguel Angel
T1  - Assessing associations between the AURKA-HMMR-TPX2-TUBG1 functional module and breast cancer risk in BRCA1/2 mutation carriers
JF  - PLoS ONE
N2  - 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.
KW  - genetic interaction networks
KW  - genome-wide association
KW  - expression signature
KW  - susceptibility loci
KW  - survival
KW  - modifiers
KW  - polymorphism
KW  - cell
KW  - chip-seq
KW  - elements
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-143469
VL  - 10
IS  - 4
ER  - 
TY  - JOUR
A1  - Staiger, Christine
A1  - Cadot, Sidney
A1  - Kooter, Raul
A1  - Dittrich, Marcus
A1  - Müller, Tobias
A1  - Klau, Gunnar W.
A1  - Wessels, Lodewyk F. A.
T1  - A Critical Evaluation of Network and Pathway-Based Classifiers for Outcome Prediction in Breast Cancer
JF  - PLoS One
N2  - 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.
KW  - modules
KW  - protein-interaction networks
KW  - expression signature
KW  - classification
KW  - set
KW  - metastasis
KW  - stability
KW  - survival
KW  - database
KW  - markers
Y1  - 2012
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-131323
VL  - 7
IS  - 4
ER  -