001     136991
005     20240229105109.0
024 7 _ |a 10.1002/ijc.31570
|2 doi
024 7 _ |a pmid:29707771
|2 pmid
024 7 _ |a 0020-7136
|2 ISSN
024 7 _ |a 1097-0215
|2 ISSN
024 7 _ |a altmetric:40726184
|2 altmetric
037 _ _ |a DKFZ-2018-01419
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Cairat, Manon
|0 0000-0002-0964-3120
|b 0
245 _ _ |a Nonsteroidal anti-inflammatory drug use and breast cancer risk in a European prospective cohort study.
260 _ _ |a Bognor Regis
|c 2018
|b Wiley-Liss
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1538036720_21539
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Experimental studies have shown a protective effect of nonsteroidal anti-inflammatory drugs (NSAIDs) on breast cancer development. However, results from epidemiological cohort studies are less consistent. Our objective was to assess the association between NSAID use and breast cancer risk within the European Prospective Investigation into Cancer and Nutrition (EPIC). EPIC is a prospective cohort study initiated in 1992 in 10 European countries. Self-reported information on NSAID use at baseline has been collected in five EPIC countries. Multivariable Cox regression models were used to estimate hazard ratios for the association of NSAID use with breast cancer incidence with adjustment for potential confounders. We also assessed effect modification by breast cancer risk factors and examined the associations within specific breast cancer subtypes. Among the 140,981 women included in the analysis, 7% were regularly using NSAIDs at baseline. During a median follow-up time period of 13 years, 7,379 incident breast cancer cases were diagnosed (816 in situ and 6,563 invasive). There were no statistically significant associations between NSAID use and breast cancer risk, overall and by subtypes. However, a statistically significant interaction was observed for invasive cases between NSAID use and ever use of menopausal hormonal therapy (MHT) among postmenopausal women [MHT users: HRNSAID use  = 0.84 (0.73-0.96); non MHT users: HRNSAID use  = 1.08 (0.93-1.25); pinteraction  = 0.05]. Our results indicate potential effect modification of MHT use on the association between use of NSAIDs and breast cancer risk which deserves in-depth investigation in studies with accurate data on both NSAID and MHT use.
536 _ _ |a 313 - Cancer risk factors and prevention (POF3-313)
|0 G:(DE-HGF)POF3-313
|c POF3-313
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Fournier, Agnès
|b 1
700 1 _ |a Murphy, Neil
|0 0000-0003-3347-8249
|b 2
700 1 _ |a Biessy, Carine
|b 3
700 1 _ |a Scalbert, Augustin
|b 4
700 1 _ |a Rinaldi, Sabina
|0 0000-0002-6846-1204
|b 5
700 1 _ |a Tjønneland, Anne
|b 6
700 1 _ |a Olsen, Anja
|b 7
700 1 _ |a Overvad, Kim
|b 8
700 1 _ |a Arveux, Patrick
|b 9
700 1 _ |a Boutron-Ruault, Marie-Christine
|b 10
700 1 _ |a Cadeau, Claire
|b 11
700 1 _ |a Turzanski-Fortner, Renée
|0 P:(DE-He78)74a6af8347ec5cbd4b77e562e10ca1f2
|b 12
|u dkfz
700 1 _ |a Kaaks, Rudolf
|0 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a
|b 13
|u dkfz
700 1 _ |a Boeing, Heiner
|b 14
700 1 _ |a Aleksandrova, Krasimira
|b 15
700 1 _ |a Peeters, Petra H M
|b 16
700 1 _ |a Van Gils, Carla H
|b 17
700 1 _ |a Wareham, Nicholas J
|b 18
700 1 _ |a Khaw, Kay-Tee
|b 19
700 1 _ |a Aune, Dagfinn
|b 20
700 1 _ |a Riboli, Elio
|b 21
700 1 _ |a Gunter, Marc J
|b 22
700 1 _ |a Dossus, Laure
|b 23
773 _ _ |a 10.1002/ijc.31570
|g Vol. 143, no. 7, p. 1688 - 1695
|0 PERI:(DE-600)1474822-8
|n 7
|p 1688 - 1695
|t International journal of cancer
|v 143
|y 2018
|x 0020-7136
909 C O |o oai:inrepo02.dkfz.de:136991
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 12
|6 P:(DE-He78)74a6af8347ec5cbd4b77e562e10ca1f2
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 13
|6 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a
913 1 _ |a DE-HGF
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-313
|2 G:(DE-HGF)POF3-300
|v Cancer risk factors and prevention
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Gesundheit
914 1 _ |y 2018
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b INT J CANCER : 2015
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b INT J CANCER : 2015
920 1 _ |0 I:(DE-He78)C020-20160331
|k C020
|l Epidemiologie von Krebserkrankungen
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C020-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21