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Population-based estimates of the relation between breast cancer risk, tumor subtype, and family history

Objective Many studies that have estimated the breast cancer risk attributable to family history have been based on data collected within family units. Use of this study design has likely overestimated risks for the general population. We provide population-based estimates of breast cancer risk and...

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Published in:Breast cancer research and treatment 2009-04, Vol.114 (3), p.549-558
Main Authors: Welsh, Megan L, Buist, Diana S. M, Aiello Bowles, Erin J, Anderson, Melissa L, Elmore, Joann G, Li, Christopher I
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container_title Breast cancer research and treatment
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creator Welsh, Megan L
Buist, Diana S. M
Aiello Bowles, Erin J
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Li, Christopher I
description Objective Many studies that have estimated the breast cancer risk attributable to family history have been based on data collected within family units. Use of this study design has likely overestimated risks for the general population. We provide population-based estimates of breast cancer risk and different tumor subtypes in relation to the degree, number, and age at diagnosis of affected relatives. Methods Cox Proportional Hazards to calculate risks (hazard ratios; 95% confidence interval) of breast cancer and tumor subtypes for women with a family history of breast cancer relative to women without a family history among a cohort of 75,189 women age >=40 years of whom 1,087 were diagnosed with breast cancer from June 1, 2001-December 31, 2005 (median follow-up 3.16 years). Results Breast cancer risk was highest for women with a first-degree family history (1.54; 1.34-1.77); and did not differ substantially by the affected relative's age at diagnosis or by number of affected first-degree relatives. A second-degree family history only was not associated with a significantly increased breast cancer risk (1.15; 0.98-1.35). There was a suggestion that a positive family history was associated with risk of triple positive (Estrogen+/Progesterone+/HER2+) and HER2-overexpressing tumors. Conclusions While a family history of breast cancer in first-degree relatives is an important risk factor for breast cancer, gathering information such as the age at diagnosis of affected relatives or information on second-degree relative history may be unnecessary in assessing personal breast cancer risk among women age >=40 years.
doi_str_mv 10.1007/s10549-008-0026-1
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M ; Aiello Bowles, Erin J ; Anderson, Melissa L ; Elmore, Joann G ; Li, Christopher I</creator><creatorcontrib>Welsh, Megan L ; Buist, Diana S. M ; Aiello Bowles, Erin J ; Anderson, Melissa L ; Elmore, Joann G ; Li, Christopher I</creatorcontrib><description>Objective Many studies that have estimated the breast cancer risk attributable to family history have been based on data collected within family units. Use of this study design has likely overestimated risks for the general population. We provide population-based estimates of breast cancer risk and different tumor subtypes in relation to the degree, number, and age at diagnosis of affected relatives. Methods Cox Proportional Hazards to calculate risks (hazard ratios; 95% confidence interval) of breast cancer and tumor subtypes for women with a family history of breast cancer relative to women without a family history among a cohort of 75,189 women age &gt;=40 years of whom 1,087 were diagnosed with breast cancer from June 1, 2001-December 31, 2005 (median follow-up 3.16 years). Results Breast cancer risk was highest for women with a first-degree family history (1.54; 1.34-1.77); and did not differ substantially by the affected relative's age at diagnosis or by number of affected first-degree relatives. A second-degree family history only was not associated with a significantly increased breast cancer risk (1.15; 0.98-1.35). There was a suggestion that a positive family history was associated with risk of triple positive (Estrogen+/Progesterone+/HER2+) and HER2-overexpressing tumors. Conclusions While a family history of breast cancer in first-degree relatives is an important risk factor for breast cancer, gathering information such as the age at diagnosis of affected relatives or information on second-degree relative history may be unnecessary in assessing personal breast cancer risk among women age &gt;=40 years.</description><identifier>ISSN: 0167-6806</identifier><identifier>EISSN: 1573-7217</identifier><identifier>DOI: 10.1007/s10549-008-0026-1</identifier><identifier>PMID: 18437558</identifier><identifier>CODEN: BCTRD6</identifier><language>eng</language><publisher>Boston: Boston : Springer US</publisher><subject>Adult ; Age of Onset ; Aged ; Aged, 80 and over ; Biological and medical sciences ; Breast cancer ; Breast cancer risk ; Breast Neoplasms - diagnosis ; Breast Neoplasms - epidemiology ; Breast Neoplasms - pathology ; Cancer research ; Cohort Studies ; Epidemiology ; Family Health ; Family history ; Family medical history ; Follow-Up Studies ; Genetic disorders ; Genetic Predisposition to Disease ; Gynecology. Andrology. Obstetrics ; Heredity ; Humans ; Mammary gland diseases ; Medical sciences ; Medicine ; Medicine &amp; Public Health ; Middle Aged ; Oncology ; Population genetics ; Population-based ; Proportional Hazards Models ; Receptor, ErbB-2 - biosynthesis ; Receptor, ErbB-2 - genetics ; Risk ; Risk factors ; Tumor subtype ; Tumors</subject><ispartof>Breast cancer research and treatment, 2009-04, Vol.114 (3), p.549-558</ispartof><rights>Springer Science+Business Media, LLC. 2008</rights><rights>2009 INIST-CNRS</rights><rights>Springer Science+Business Media, LLC. 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c521t-46ed606480e786a73ef2b8b9c0a44a75682da2b42b7b15bca0960c63036ecaf53</citedby><cites>FETCH-LOGICAL-c521t-46ed606480e786a73ef2b8b9c0a44a75682da2b42b7b15bca0960c63036ecaf53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=21222902$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18437558$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Welsh, Megan L</creatorcontrib><creatorcontrib>Buist, Diana S. M</creatorcontrib><creatorcontrib>Aiello Bowles, Erin J</creatorcontrib><creatorcontrib>Anderson, Melissa L</creatorcontrib><creatorcontrib>Elmore, Joann G</creatorcontrib><creatorcontrib>Li, Christopher I</creatorcontrib><title>Population-based estimates of the relation between breast cancer risk, tumor subtype, and family history</title><title>Breast cancer research and treatment</title><addtitle>Breast Cancer Res Treat</addtitle><addtitle>Breast Cancer Res Treat</addtitle><description>Objective Many studies that have estimated the breast cancer risk attributable to family history have been based on data collected within family units. Use of this study design has likely overestimated risks for the general population. We provide population-based estimates of breast cancer risk and different tumor subtypes in relation to the degree, number, and age at diagnosis of affected relatives. Methods Cox Proportional Hazards to calculate risks (hazard ratios; 95% confidence interval) of breast cancer and tumor subtypes for women with a family history of breast cancer relative to women without a family history among a cohort of 75,189 women age &gt;=40 years of whom 1,087 were diagnosed with breast cancer from June 1, 2001-December 31, 2005 (median follow-up 3.16 years). Results Breast cancer risk was highest for women with a first-degree family history (1.54; 1.34-1.77); and did not differ substantially by the affected relative's age at diagnosis or by number of affected first-degree relatives. A second-degree family history only was not associated with a significantly increased breast cancer risk (1.15; 0.98-1.35). There was a suggestion that a positive family history was associated with risk of triple positive (Estrogen+/Progesterone+/HER2+) and HER2-overexpressing tumors. Conclusions While a family history of breast cancer in first-degree relatives is an important risk factor for breast cancer, gathering information such as the age at diagnosis of affected relatives or information on second-degree relative history may be unnecessary in assessing personal breast cancer risk among women age &gt;=40 years.</description><subject>Adult</subject><subject>Age of Onset</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Breast cancer</subject><subject>Breast cancer risk</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Breast Neoplasms - epidemiology</subject><subject>Breast Neoplasms - pathology</subject><subject>Cancer research</subject><subject>Cohort Studies</subject><subject>Epidemiology</subject><subject>Family Health</subject><subject>Family history</subject><subject>Family medical history</subject><subject>Follow-Up Studies</subject><subject>Genetic disorders</subject><subject>Genetic Predisposition to Disease</subject><subject>Gynecology. 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M</au><au>Aiello Bowles, Erin J</au><au>Anderson, Melissa L</au><au>Elmore, Joann G</au><au>Li, Christopher I</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Population-based estimates of the relation between breast cancer risk, tumor subtype, and family history</atitle><jtitle>Breast cancer research and treatment</jtitle><stitle>Breast Cancer Res Treat</stitle><addtitle>Breast Cancer Res Treat</addtitle><date>2009-04-01</date><risdate>2009</risdate><volume>114</volume><issue>3</issue><spage>549</spage><epage>558</epage><pages>549-558</pages><issn>0167-6806</issn><eissn>1573-7217</eissn><coden>BCTRD6</coden><abstract>Objective Many studies that have estimated the breast cancer risk attributable to family history have been based on data collected within family units. Use of this study design has likely overestimated risks for the general population. We provide population-based estimates of breast cancer risk and different tumor subtypes in relation to the degree, number, and age at diagnosis of affected relatives. Methods Cox Proportional Hazards to calculate risks (hazard ratios; 95% confidence interval) of breast cancer and tumor subtypes for women with a family history of breast cancer relative to women without a family history among a cohort of 75,189 women age &gt;=40 years of whom 1,087 were diagnosed with breast cancer from June 1, 2001-December 31, 2005 (median follow-up 3.16 years). Results Breast cancer risk was highest for women with a first-degree family history (1.54; 1.34-1.77); and did not differ substantially by the affected relative's age at diagnosis or by number of affected first-degree relatives. A second-degree family history only was not associated with a significantly increased breast cancer risk (1.15; 0.98-1.35). There was a suggestion that a positive family history was associated with risk of triple positive (Estrogen+/Progesterone+/HER2+) and HER2-overexpressing tumors. Conclusions While a family history of breast cancer in first-degree relatives is an important risk factor for breast cancer, gathering information such as the age at diagnosis of affected relatives or information on second-degree relative history may be unnecessary in assessing personal breast cancer risk among women age &gt;=40 years.</abstract><cop>Boston</cop><pub>Boston : Springer US</pub><pmid>18437558</pmid><doi>10.1007/s10549-008-0026-1</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
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source Springer Nature
subjects Adult
Age of Onset
Aged
Aged, 80 and over
Biological and medical sciences
Breast cancer
Breast cancer risk
Breast Neoplasms - diagnosis
Breast Neoplasms - epidemiology
Breast Neoplasms - pathology
Cancer research
Cohort Studies
Epidemiology
Family Health
Family history
Family medical history
Follow-Up Studies
Genetic disorders
Genetic Predisposition to Disease
Gynecology. Andrology. Obstetrics
Heredity
Humans
Mammary gland diseases
Medical sciences
Medicine
Medicine & Public Health
Middle Aged
Oncology
Population genetics
Population-based
Proportional Hazards Models
Receptor, ErbB-2 - biosynthesis
Receptor, ErbB-2 - genetics
Risk
Risk factors
Tumor subtype
Tumors
title Population-based estimates of the relation between breast cancer risk, tumor subtype, and family history
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