Assessment of breast cancer risk factors reveals subtype heterogeneity

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Fältnamn	Indikatorer	Metadata
000		04337naa a2200517 4500
001		oai:openarchive.ki.se:10616/47145
003		SwePub
008		240410s2017 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
009		oai:prod.swepub.kib.ki.se:136113788
022		a 0008-5472
024	7	a 10616/471452 hdl
024	7	a http://hdl.handle.net/10616/471452 URI
024	7	a https://doi.org/10.1158/0008-5472.CAN-16-25742 DOI
024	7	a http://kipublications.ki.se/Default.aspx?queryparsed=id:1361137882 URI
040		a (SwePub)ki
041		a engb eng
042		9 SwePub
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100	1	a Holm, Johannau Karolinska Institutet4 aut
245	1 0	a Assessment of breast cancer risk factors reveals subtype heterogeneity
264	1	a Stockholm :b Karolinska Institutet, Dept of Medical Epidemiology and Biostatistics,c 2017
338		a electronic2 rdacarrier
520		a Subtype heterogeneity for breast cancer risk factors has been suspected, potentially reflecting etiological differences and implicating risk prediction. Reports are conflicting regarding presence of heterogeneity for many exposures. To examine subtype heterogeneity across known breast cancer risk factors, we conducted a case-control analysis of 2,632 breast cancers and 15,945 controls in Sweden. Molecular subtype was predicted from pathology-record derived immunohistochemistry markers by a classifier trained on PAM50 subtyping. Multinomial logistic regression estimated separate odds ratios for each subtype by the exposures parity, age at first birth, breastfeeding, menarche, HRT use, somatotype at age 18, benign breast disease, mammographic density, polygenic risk score, family history of breast cancer and BRCA mutations. We found clear subtype heterogeneity for genetic factors and breastfeeding. The polygenic risk score was associated with risk of all subtypes except for the basal-like (p heterogeneity < 0.0001). Parous women who never breastfed were at higher risk of basal-like subtype (OR 4.17; 95% CI 1.89 to 9.21) compared to both nulliparous (reference) and breastfeeding women. Breastfeeding was not associated with risk of HER2-overexpressing type, but protective for all other subtypes. The observed heterogeneity in risk of distinct breast cancer subtypes for germline variants supports heterogeneity in etiology and has implications for their use in risk prediction. The increased risk of basal-like subtype among women who never breastfed merits more research into potential causal mechanisms and confounders.
650	7	a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe
650	7	a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cancer and Oncology0 (SwePub)302032 hsv//eng
650	7	a MEDICIN OCH HÄLSOVETENSKAPx Medicinska och farmaceutiska grundvetenskaperx Medicinsk genetik0 (SwePub)301072 hsv//swe
650	7	a MEDICAL AND HEALTH SCIENCESx Basic Medicinex Medical Genetics0 (SwePub)301072 hsv//eng
650	7	a NATURVETENSKAPx Matematikx Sannolikhetsteori och statistik0 (SwePub)101062 hsv//swe
650	7	a NATURAL SCIENCESx Mathematicsx Probability Theory and Statistics0 (SwePub)101062 hsv//eng
700	1	a Eriksson, Louiseu Karolinska Institutet4 aut
700	1	a Ploner, Alexanderu Karolinska Institutet4 aut
700	1	a Eriksson, Mikaelu Karolinska Institutet4 aut
700	1	a Rantalainen, Mattiasu Karolinska Institutet4 aut
700	1	a Li, Jingmei4 aut
700	1	a Hall, Peru Karolinska Institutet4 aut
700	1	a Czene, Kamilau Karolinska Institutet4 aut
710	2	a Karolinska Institutet
710	2	a Karolinska Institutet
710	2	a Karolinska Institutet4 org
773	0	t Cancer Researchd Stockholm : Karolinska Institutet, Dept of Medical Epidemiology and Biostatisticsg 77:13, s. 3708-3717x 0008-5472
773	0	t Cancer researchd Stockholm : Karolinska Institutet, Dept of Medical Epidemiology and Biostatisticsg 77:13, s. 3708-3717q 77:13<3708-3717x 1538-7445
856	4	u http://hdl.handle.net/10616/47145x primaryx Object in contextx freey FULLTEXT
856	4 8	u http://hdl.handle.net/10616/47145
856	4 8	u https://doi.org/10.1158/0008-5472.CAN-16-2574
856	4 8	u http://kipublications.ki.se/Default.aspx?queryparsed=id:136113788

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By the author/editor: Holm, Johanna; Eriksson, Louise; Ploner, Alexande ...; Eriksson, Mikael; Rantalainen, Mat ...; Li, Jingmei; show more...; Hall, Per; Czene, Kamila; show less...

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MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Cancer and Oncol ...

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Basic Medicine; and Medical Genetics

NATURAL SCIENCES: NATURAL SCIENCES; and Mathematics; and Probability Theo ...

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