000131766 001__ 131766 000131766 005__ 20240229105011.0 000131766 0247_ $$2doi$$a10.1002/ijc.31145 000131766 0247_ $$2pmid$$apmid:29114882 000131766 0247_ $$2ISSN$$a0020-7136 000131766 0247_ $$2ISSN$$a1097-0215 000131766 0247_ $$2altmetric$$aaltmetric:31015752 000131766 037__ $$aDKFZ-2018-00063 000131766 041__ $$aeng 000131766 082__ $$a610 000131766 1001_ $$00000-0003-4661-0763$$aBarrdahl, Myrto$$b0$$eFirst author 000131766 245__ $$aA comprehensive analysis of polymorphic variants in steroid hormone and insulin-like growth factor-1 metabolism and risk of in situ breast cancer: Results from the Breast and Prostate Cancer Cohort Consortium. 000131766 260__ $$aBognor Regis$$bWiley-Liss$$c2018 000131766 3367_ $$2DRIVER$$aarticle 000131766 3367_ $$2DataCite$$aOutput Types/Journal article 000131766 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1521450290_11799 000131766 3367_ $$2BibTeX$$aARTICLE 000131766 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000131766 3367_ $$00$$2EndNote$$aJournal Article 000131766 520__ $$aWe assessed the association between 1,414 single nucleotide polymorphisms (SNPs) in genes involved in synthesis and metabolism of steroid hormones and insulin-like growth factor 1, and risk of breast cancer in situ (BCIS), with the aim of determining whether any of these were disease specific. This was carried out using 1,062 BCIS cases and 10,126 controls as well as 6,113 invasive breast cancer cases from the Breast and Prostate Cancer Cohort Consortium (BPC3). Three SNPs showed at least one nominally significant association in homozygous minor versus homozygous major models. ACVR2A-rs2382112 (ORhom = 3.05, 95%CI = 1.72-5.44, Phom = 1.47 × 10-4 ), MAST2-rs12124649 (ORhom = 1.73, 95% CI =1.18-2.54, Phom = 5.24 × 10-3 ), and INSR-rs10500204 (ORhom = 1.96, 95% CI = 1.44-2.67, Phom =1.68 × 10-5 ) were associated with increased risk of BCIS; however, only the latter association was significant after correcting for multiple testing. Furthermore, INSR-rs10500204 was more strongly associated with the risk of BCIS than invasive disease in case-only analyses using the homozygous minor versus homozygous major model (ORhom = 1.78, 95% CI = 1.30-2.44, Phom = 3.23 × 10-4 ). The SNP INSR-rs10500204 is located in an intron of the INSR gene and is likely to affect binding of the promyelocytic leukemia (PML) protein. The PML gene is known as a tumor suppressor and growth regulator in cancer. However, it is not clear on what pathway the A-allele of rs10500204 could operate to influence the binding of the protein. Hence, functional studies are warranted to investigate this further. 000131766 536__ $$0G:(DE-HGF)POF3-313$$a313 - Cancer risk factors and prevention (POF3-313)$$cPOF3-313$$fPOF III$$x0 000131766 588__ $$aDataset connected to CrossRef, PubMed, 000131766 7001_ $$00000-0002-4261-4583$$aCanzian, Federico$$b1 000131766 7001_ $$aGaudet, Mia M$$b2 000131766 7001_ $$aGapstur, Susan M$$b3 000131766 7001_ $$aTrichopoulou, Antonia$$b4 000131766 7001_ $$aTsilidis, Kostas$$b5 000131766 7001_ $$avan Gils, Carla H$$b6 000131766 7001_ $$00000-0001-7938-8893$$aBorgquist, Signe$$b7 000131766 7001_ $$aWeiderpass, Elisabete$$b8 000131766 7001_ $$aKhaw, Kay-Tee$$b9 000131766 7001_ $$aGiles, Graham G$$b10 000131766 7001_ $$aMilne, Roger L$$b11 000131766 7001_ $$aLe Marchand, Loic$$b12 000131766 7001_ $$aHaiman, Christopher$$b13 000131766 7001_ $$aLindström, Sara$$b14 000131766 7001_ $$aKraft, Peter$$b15 000131766 7001_ $$aHunter, David J$$b16 000131766 7001_ $$aZiegler, Regina$$b17 000131766 7001_ $$aChanock, Stephen J$$b18 000131766 7001_ $$aYang, Xiaohong R$$b19 000131766 7001_ $$aBuring, Julie E$$b20 000131766 7001_ $$aLee, I-Min$$b21 000131766 7001_ $$00000-0003-3751-3929$$aKaaks, Rudolf$$b22 000131766 7001_ $$00000-0003-3220-9944$$aCampa, Daniele$$b23 000131766 773__ $$0PERI:(DE-600)1474822-8$$a10.1002/ijc.31145$$gVol. 142, no. 6, p. 1182 - 1188$$n6$$p1182 - 1188$$tInternational journal of cancer$$v142$$x0020-7136$$y2018 000131766 909CO $$ooai:inrepo02.dkfz.de:131766$$pVDB 000131766 9101_ $$0I:(DE-588b)2036810-0$$60000-0003-4661-0763$$aDeutsches Krebsforschungszentrum$$b0$$kDKFZ 000131766 9101_ $$0I:(DE-588b)2036810-0$$60000-0002-4261-4583$$aDeutsches Krebsforschungszentrum$$b1$$kDKFZ 000131766 9101_ $$0I:(DE-588b)2036810-0$$60000-0003-3751-3929$$aDeutsches Krebsforschungszentrum$$b22$$kDKFZ 000131766 9131_ $$0G:(DE-HGF)POF3-313$$1G:(DE-HGF)POF3-310$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vCancer risk factors and prevention$$x0 000131766 9141_ $$y2018 000131766 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz 000131766 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS 000131766 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline 000131766 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database 000131766 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bINT J CANCER : 2015 000131766 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List 000131766 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index 000131766 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection 000131766 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded 000131766 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences 000131766 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews 000131766 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bINT J CANCER : 2015 000131766 9201_ $$0I:(DE-He78)C020-20160331$$kC020$$lEpidemiologie von Krebserkrankungen$$x0 000131766 9201_ $$0I:(DE-He78)C055-20160331$$kC055$$lGenomische Epidemiologie$$x1 000131766 980__ $$ajournal 000131766 980__ $$aVDB 000131766 980__ $$aI:(DE-He78)C020-20160331 000131766 980__ $$aI:(DE-He78)C055-20160331 000131766 980__ $$aUNRESTRICTED