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|a dc
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|a Li, Jingmei
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|a Lindström, Linda S.
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|a Foo, Jia N.
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|a Rafiq, Sajjad
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|a Schmidt, Marjanka K.
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|a Pharoah, Paul D. P.
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|a Michailidou, Kyriaki
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|a Dennis, Joe
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|a Bolla, Manjeet K.
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|a Wang, Qin
|e author
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|a Van 't Veer, Laura J.
|e author
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|a Cornelissen, Sten
|e author
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|a Rutgers, Emiel
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|a Southey, Melissa C.
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|a Apicella, Carmel
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|a Dite, Gillian S.
|e author
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|a Hopper, John L.
|e author
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|a Fasching, Peter A.
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|a Haeberle, Lothar
|e author
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|a Ekici, Arif B.
|e author
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|a Beckmann, Matthias W.
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|a Blomqvist, Carl
|e author
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|a Muranen, Taru A.
|e author
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|a Aittomäki, Kristiina
|e author
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|a Lindblom, Annika
|e author
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|a Margolin, Sara
|e author
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|a Mannermaa, Arto
|e author
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|a Kosma, Veli-Matti
|e author
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|a Hartikainen, Jaana M.
|e author
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|a Kataja, Vesa
|e author
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|a Chenevix-Trench, Georgia
|e author
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|a Investigators, kConFab
|e author
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|a Phillips, Kelly-Anne
|e author
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|a McLachlan, Sue-Anne
|e author
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|a Lambrechts, Diether
|e author
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|a Thienpont, Bernard
|e author
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|a Smeets, Ann
|e author
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|a Wildiers, Hans
|e author
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|a Chang-Claude, Jenny
|e author
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|a Flesch-Janys, Dieter
|e author
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|a Seibold, Petra
|e author
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|a Rudolph, Anja
|e author
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|a Giles, Graham G.
|e author
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|a Baglietto, Laura
|e author
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|a Severi, Gianluca
|e author
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|a Haiman, Christopher A.
|e author
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|a Henderson, Brian E.
|e author
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|a Schumacher, Fredrick
|e author
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|a Le Marchand, Loic
|e author
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|a Kristensen, Vessela
|e author
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|a Alnæs, Grethe I. Grenaker
|e author
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|a Borresen-Dale
|e author
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|a Nord, Silje
|e author
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|a Winqvist, Robert
|e author
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|a Pylkäs, Katri
|e author
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|a Jukkola-Vuorinen, Arja
|e author
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|a Grip, Mervi
|e author
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|a Andrulis, Irene L.
|e author
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|a Knight, Julia A.
|e author
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|a Glendon, Gord
|e author
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|a Tchatchou, Sandrine
|e author
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|a Devilee, Peter
|e author
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|a Tollenaar, Robert
|e author
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|a Seynaeve, Caroline
|e author
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|a Hooning, Maartje
|e author
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|a Kriege, Mieke
|e author
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|a Hollestelle, Antoinette
|e author
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|a van den Ouweland, Ans
|e author
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|a Li, Yi
|e author
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|a Hamann, Ute
|e author
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|a Torres, Diana
|e author
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|a Ulmer, Hans U.
|e author
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|a Rüdiger, Thomas
|e author
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|a Shen, Chen-Yang
|e author
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|a Hsiung, Chia-Ni
|e author
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|a Wu, Pei-Ei
|e author
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|a Chen, Shou-Tung
|e author
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|a Teo, Soo Hwang
|e author
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|a Taib, Nur Aishah Mohd
|e author
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|a Har Yip, Cheng
|e author
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|a Fuang Ho, Gwo
|e author
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|a Matsuo, Keitaro
|e author
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|a Ito, Hidemi
|e author
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|a Iwata, Hiroji
|e author
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|a Tajima, Kazuo
|e author
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|a Kang, Daehee
|e author
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|a Choi, Ji-Yeob
|e author
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|a Park, Sue K.
|e author
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|a Yoo, Keun-Young
|e author
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|a Maishman, Tom
|e author
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|a Tapper, William J.
|e author
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|a Dunning, Alison
|e author
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|a Shah, Mitul
|e author
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700 |
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|a Luben, Robert
|e author
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|a Brown, Judith
|e author
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|a Chuen Khor, Chiea
|e author
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|a Eccles, Diana M.
|e author
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|a Nevanlinna, Heli
|e author
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|a Easton, Douglas
|e author
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|a Humphreys, Keith
|e author
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|a Liu, Jianjun
|e author
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|a Hall, Per
|e author
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|a Czene, Kamila
|e author
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|a 2q36.3 is associated with prognosis for oestrogen receptor-negative breast cancer patients treated with chemotherapy
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|c 2014-06-17.
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|z Get fulltext
|u https://eprints.soton.ac.uk/382520/1/__userfiles.soton.ac.uk_Users_slb1_mydesktop_ncomms5051.pdf
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|a Large population-based registry studies have shown that breast cancer prognosis is inherited. Here we analyse single-nucleotide polymorphisms (SNPs) of genes implicated in human immunology and inflammation as candidates for prognostic markers of breast cancer survival involving 1,804 oestrogen receptor (ER)-negative patients treated with chemotherapy (279 events) from 14 European studies in a prior large-scale genotyping experiment, which is part of the Collaborative Oncological Gene-environment Study (COGS) initiative. We carry out replication using Asian COGS samples (n=522, 53 events) and the Prospective Study of Outcomes in Sporadic versus Hereditary breast cancer (POSH) study (n=315, 108 events). Rs4458204_A near CCL20 (2q36.3) is found to be associated with breast cancer-specific death at a genome-wide significant level (n=2,641, 440 events, combined allelic hazard ratio (HR)=1.81 (1.49-2.19); P for trend=1.90 × 10?9). Such survival-associated variants can represent ideal targets for tailored therapeutics, and may also enhance our current prognostic prediction capabilities
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|a cc_by_nc_sa_4
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|a Article
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