Identification of novel genetic markers of breast cancer survival.

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作者:Guo Qi, Schmidt Marjanka K, Kraft Peter, Canisius Sander, Chen Constance, Khan Sofia, Tyrer Jonathan, Bolla Manjeet K, Wang Qin, Dennis Joe, Michailidou Kyriaki, Lush Michael, Kar Siddhartha, Beesley Jonathan, Dunning Alison M, Shah Mitul, Czene Kamila, Darabi Hatef, Eriksson Mikael, Lambrechts Diether, Weltens Caroline, Leunen Karin, Bojesen Stig E, Nordestgaard Børge G, Nielsen Sune F, Flyger Henrik, Chang-Claude Jenny, Rudolph Anja, Seibold Petra, Flesch-Janys Dieter, Blomqvist Carl, Aittomäki Kristiina, Fagerholm Rainer, Muranen Taru A, Couch Fergus J, Olson Janet E, Vachon Celine, Andrulis Irene L, Knight Julia A, Glendon Gord, Mulligan Anna Marie, Broeks Annegien, Hogervorst Frans B, Haiman Christopher A, Henderson Brian E, Schumacher Fredrick, Le Marchand Loic, Hopper John L, Tsimiklis Helen, Apicella Carmel, Southey Melissa C, Cox Angela, Cross Simon S, Reed Malcolm W R, Giles Graham G, Milne Roger L, McLean Catriona, Winqvist Robert, Pylkäs Katri, Jukkola-Vuorinen Arja, Grip Mervi, Hooning Maartje J, Hollestelle Antoinette, Martens John W M, van den Ouweland Ans M W, Marme Federik, Schneeweiss Andreas, Yang Rongxi, Burwinkel Barbara, Figueroa Jonine, Chanock Stephen J, Lissowska Jolanta, Sawyer Elinor J, Tomlinson Ian, Kerin Michael J, Miller Nicola, Brenner Hermann, Dieffenbach Aida Karina, Arndt Volker, Holleczek Bernd, Mannermaa Arto, Kataja Vesa, Kosma Veli-Matti, Hartikainen Jaana M, Li Jingmei, Brand Judith S, Humphreys Keith, Devilee Peter, Tollenaar Rob A E M, Seynaeve Caroline, Radice Paolo, Peterlongo Paolo, Bonanni Bernardo, Mariani Paolo, Fasching Peter A, Beckmann Matthias W, Hein Alexander, Ekici Arif B, Chenevix-Trench Georgia, Balleine Rosemary, Phillips Kelly-Anne, Benitez Javier, Zamora M Pilar, Arias Perez Jose Ignacio, Menéndez Primitiva, Jakubowska Anna, Lubinski Jan, Jaworska-Bieniek Katarzyna, Durda Katarzyna, Hamann Ute, Kabisch Maria, Ulmer Hans Ulrich, Rüdiger Thomas, Margolin Sara, Kristensen Vessela, Nord Silje, Evans D Gareth, Abraham Jean E, Earl Helena M, Hiller Louise, Dunn Janet A, Bowden Sarah, Berg Christine, Campa Daniele, Diver W Ryan, Gapstur Susan M, Gaudet Mia M, Hankinson Susan E, Hoover Robert N, Hüsing Anika, Kaaks Rudolf, Machiela Mitchell J, Willett Walter, Barrdahl Myrto, Canzian Federico, Chin Suet-Feung, Caldas Carlos, Hunter David J, Lindstrom Sara, García-Closas Montserrat, Hall Per, Easton Douglas F, Eccles Diana M, Rahman Nazneen, Nevanlinna Heli, Pharoah Paul D P
BACKGROUND: Survival after a diagnosis of breast cancer varies considerably between patients, and some of this variation may be because of germline genetic variation. We aimed to identify genetic markers associated with breast cancer-specific survival. METHODS: We conducted a large meta-analysis of studies in populations of European ancestry, including 37954 patients with 2900 deaths from breast cancer. Each study had been genotyped for between 200000 and 900000 single nucleotide polymorphisms (SNPs) across the genome; genotypes for nine million common variants were imputed using a common reference panel from the 1000 Genomes Project. We also carried out subtype-specific analyses based on 6881 estrogen receptor (ER)-negative patients (920 events) and 23059 ER-positive patients (1333 events). All statistical tests were two-sided. RESULTS: We identified one new locus (rs2059614 at 11q24.2) associated with survival in ER-negative breast cancer cases (hazard ratio [HR] = 1.95, 95% confidence interval [CI] = 1.55 to 2.47, P = 1.91 x 10(-8)). Genotyping a subset of 2113 case patients, of which 300 were ER negative, provided supporting evidence for the quality of the imputation. The association in this set of case patients was stronger for the observed genotypes than for the imputed genotypes. A second locus (rs148760487 at 2q24.2) was associated at genome-wide statistical significance in initial analyses; the association was similar in ER-positive and ER-negative case patients. Here the results of genotyping suggested that the finding was less robust. CONCLUSIONS: This is currently the largest study investigating genetic variation associated with breast cancer survival. Our results have potential clinical implications, as they confirm that germline genotype can provide prognostic information in addition to standard tumor prognostic factors.

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