Breast cancer subtype distribution is different in normal weight, overweight, and obese women
Purpose Obesity is associated with tumor promoting pathways related to insulin resistance and chronic low-grade inflammation which have been linked to various disease states, including cancer. Many studies have focused on the relationship between obesity and increased estrogen production, which cont...
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Veröffentlicht in: | Breast cancer research and treatment 2017-06, Vol.163 (2), p.375-381 |
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creator | Gershuni, Victoria Li, Yun R. Williams, Austin D. So, Alycia Steel, Laura Carrigan, Elena Tchou, Julia |
description | Purpose
Obesity is associated with tumor promoting pathways related to insulin resistance and chronic low-grade inflammation which have been linked to various disease states, including cancer. Many studies have focused on the relationship between obesity and increased estrogen production, which contributes to the pathogenesis of estrogen receptor-positive breast cancers. The link between obesity and other breast cancer subtypes, such as triple-negative breast cancer (TNBC) and Her2/neu+ (Her2+) breast cancer, is less clear. We hypothesize that obesity may be associated with the pathogenesis of specific breast cancer subtypes resulting in a different subtype distribution than normal weight women.
Methods
A single-institution, retrospective analysis of tumor characteristics of 848 patients diagnosed with primary operable breast cancer between 2000 and 2013 was performed to evaluate the association between BMI and clinical outcome. Patients were grouped based on their BMI at time of diagnosis stratified into three subgroups: normal weight (BMI = 18–24.9), overweight (BMI = 25–29.9), and obese (BMI > 30). The distribution of breast cancer subtypes across the three BMI subgroups was compared.
Results
Obese and overweight women were more likely to present with TNBC and normal weight women with Her2+ breast cancer (
p
= 0.008).
Conclusions
We demonstrated, for the first time, that breast cancer subtype distribution varied significantly according to BMI status. Our results suggested that obesity might activate molecular pathways other than the well-known obesity/estrogen circuit in the pathogenesis of breast cancer. Future studies are needed to understand the molecular mechanisms that drive the variation in subtype distribution across BMI subgroups. |
doi_str_mv | 10.1007/s10549-017-4192-x |
format | Article |
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Obesity is associated with tumor promoting pathways related to insulin resistance and chronic low-grade inflammation which have been linked to various disease states, including cancer. Many studies have focused on the relationship between obesity and increased estrogen production, which contributes to the pathogenesis of estrogen receptor-positive breast cancers. The link between obesity and other breast cancer subtypes, such as triple-negative breast cancer (TNBC) and Her2/neu+ (Her2+) breast cancer, is less clear. We hypothesize that obesity may be associated with the pathogenesis of specific breast cancer subtypes resulting in a different subtype distribution than normal weight women.
Methods
A single-institution, retrospective analysis of tumor characteristics of 848 patients diagnosed with primary operable breast cancer between 2000 and 2013 was performed to evaluate the association between BMI and clinical outcome. Patients were grouped based on their BMI at time of diagnosis stratified into three subgroups: normal weight (BMI = 18–24.9), overweight (BMI = 25–29.9), and obese (BMI > 30). The distribution of breast cancer subtypes across the three BMI subgroups was compared.
Results
Obese and overweight women were more likely to present with TNBC and normal weight women with Her2+ breast cancer (
p
= 0.008).
Conclusions
We demonstrated, for the first time, that breast cancer subtype distribution varied significantly according to BMI status. Our results suggested that obesity might activate molecular pathways other than the well-known obesity/estrogen circuit in the pathogenesis of breast cancer. Future studies are needed to understand the molecular mechanisms that drive the variation in subtype distribution across BMI subgroups.</description><identifier>ISSN: 0167-6806</identifier><identifier>EISSN: 1573-7217</identifier><identifier>DOI: 10.1007/s10549-017-4192-x</identifier><identifier>PMID: 28293912</identifier><identifier>CODEN: BCTRD6</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Aged ; Body Mass Index ; Breast cancer ; Cancer research ; Disease-Free Survival ; Epidemiology ; Humans ; Lymphatic Metastasis ; Medicine ; Medicine & Public Health ; Middle Aged ; Obesity - metabolism ; Obesity - mortality ; Obesity - pathology ; Oncology ; Proportional Hazards Models ; Receptor, ErbB-2 - metabolism ; Retrospective Studies ; Treatment Outcome ; Triple Negative Breast Neoplasms - metabolism ; Triple Negative Breast Neoplasms - mortality ; Triple Negative Breast Neoplasms - pathology</subject><ispartof>Breast cancer research and treatment, 2017-06, Vol.163 (2), p.375-381</ispartof><rights>Springer Science+Business Media New York 2017</rights><rights>Breast Cancer Research and Treatment is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c471t-75f9276b68dd80f932dd7ede604f1b86a91b3add1f4322ef0c162b0b90d535963</citedby><cites>FETCH-LOGICAL-c471t-75f9276b68dd80f932dd7ede604f1b86a91b3add1f4322ef0c162b0b90d535963</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10549-017-4192-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10549-017-4192-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28293912$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gershuni, Victoria</creatorcontrib><creatorcontrib>Li, Yun R.</creatorcontrib><creatorcontrib>Williams, Austin D.</creatorcontrib><creatorcontrib>So, Alycia</creatorcontrib><creatorcontrib>Steel, Laura</creatorcontrib><creatorcontrib>Carrigan, Elena</creatorcontrib><creatorcontrib>Tchou, Julia</creatorcontrib><title>Breast cancer subtype distribution is different in normal weight, overweight, and obese women</title><title>Breast cancer research and treatment</title><addtitle>Breast Cancer Res Treat</addtitle><addtitle>Breast Cancer Res Treat</addtitle><description>Purpose
Obesity is associated with tumor promoting pathways related to insulin resistance and chronic low-grade inflammation which have been linked to various disease states, including cancer. Many studies have focused on the relationship between obesity and increased estrogen production, which contributes to the pathogenesis of estrogen receptor-positive breast cancers. The link between obesity and other breast cancer subtypes, such as triple-negative breast cancer (TNBC) and Her2/neu+ (Her2+) breast cancer, is less clear. We hypothesize that obesity may be associated with the pathogenesis of specific breast cancer subtypes resulting in a different subtype distribution than normal weight women.
Methods
A single-institution, retrospective analysis of tumor characteristics of 848 patients diagnosed with primary operable breast cancer between 2000 and 2013 was performed to evaluate the association between BMI and clinical outcome. Patients were grouped based on their BMI at time of diagnosis stratified into three subgroups: normal weight (BMI = 18–24.9), overweight (BMI = 25–29.9), and obese (BMI > 30). The distribution of breast cancer subtypes across the three BMI subgroups was compared.
Results
Obese and overweight women were more likely to present with TNBC and normal weight women with Her2+ breast cancer (
p
= 0.008).
Conclusions
We demonstrated, for the first time, that breast cancer subtype distribution varied significantly according to BMI status. Our results suggested that obesity might activate molecular pathways other than the well-known obesity/estrogen circuit in the pathogenesis of breast cancer. Future studies are needed to understand the molecular mechanisms that drive the variation in subtype distribution across BMI subgroups.</description><subject>Aged</subject><subject>Body Mass Index</subject><subject>Breast cancer</subject><subject>Cancer research</subject><subject>Disease-Free Survival</subject><subject>Epidemiology</subject><subject>Humans</subject><subject>Lymphatic Metastasis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Obesity - metabolism</subject><subject>Obesity - mortality</subject><subject>Obesity - pathology</subject><subject>Oncology</subject><subject>Proportional Hazards Models</subject><subject>Receptor, ErbB-2 - metabolism</subject><subject>Retrospective Studies</subject><subject>Treatment Outcome</subject><subject>Triple Negative Breast Neoplasms - metabolism</subject><subject>Triple Negative Breast Neoplasms - mortality</subject><subject>Triple Negative Breast Neoplasms - pathology</subject><issn>0167-6806</issn><issn>1573-7217</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkU1rFTEUQINY7LP6A9xIwI0Lp96bzCSTpRY_CgU3upSQTG7qlDfJM5mx7b93Hq8VEQqukpBzTwiHsRcIpwig31aErjUNoG5aNKK5ecQ22GnZaIH6MdsAKt2oHtQxe1rrFQAYDeYJOxa9MNKg2LDv7wu5OvPBpYEKr4ufb3fEw1jnMvplHnPiY13PMVKhNPMx8ZTL5Lb8msbLH_Mbnn9Rud-7FHj2VIlf54nSM3YU3bbS87v1hH37-OHr2efm4sun87N3F83Qapwb3UUjtPKqD6GHaKQIQVMgBW1E3ytn0EsXAsZWCkERBlTCgzcQOtkZJU_Y64N3V_LPhepsp7EOtN26RHmpFnujpTZG9P-Bat2vVjQr-uof9CovJa0f2QslomjVXogHaii51kLR7so4uXJrEew-kz1ksmsmu89kb9aZl3fmxU8U_kzcd1kBcQDqepUuqfz19IPW3xWZnWQ</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Gershuni, Victoria</creator><creator>Li, Yun R.</creator><creator>Williams, Austin D.</creator><creator>So, Alycia</creator><creator>Steel, Laura</creator><creator>Carrigan, Elena</creator><creator>Tchou, Julia</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9-</scope><scope>K9.</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20170601</creationdate><title>Breast cancer subtype distribution is different in normal weight, overweight, and obese women</title><author>Gershuni, Victoria ; Li, Yun R. ; Williams, Austin D. ; So, Alycia ; Steel, Laura ; Carrigan, Elena ; Tchou, Julia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c471t-75f9276b68dd80f932dd7ede604f1b86a91b3add1f4322ef0c162b0b90d535963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aged</topic><topic>Body Mass Index</topic><topic>Breast cancer</topic><topic>Cancer research</topic><topic>Disease-Free Survival</topic><topic>Epidemiology</topic><topic>Humans</topic><topic>Lymphatic Metastasis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Obesity - metabolism</topic><topic>Obesity - mortality</topic><topic>Obesity - pathology</topic><topic>Oncology</topic><topic>Proportional Hazards Models</topic><topic>Receptor, ErbB-2 - metabolism</topic><topic>Retrospective Studies</topic><topic>Treatment Outcome</topic><topic>Triple Negative Breast Neoplasms - metabolism</topic><topic>Triple Negative Breast Neoplasms - mortality</topic><topic>Triple Negative Breast Neoplasms - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gershuni, Victoria</creatorcontrib><creatorcontrib>Li, Yun R.</creatorcontrib><creatorcontrib>Williams, Austin D.</creatorcontrib><creatorcontrib>So, Alycia</creatorcontrib><creatorcontrib>Steel, Laura</creatorcontrib><creatorcontrib>Carrigan, Elena</creatorcontrib><creatorcontrib>Tchou, Julia</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Breast cancer research and treatment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gershuni, Victoria</au><au>Li, Yun R.</au><au>Williams, Austin D.</au><au>So, Alycia</au><au>Steel, Laura</au><au>Carrigan, Elena</au><au>Tchou, Julia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Breast cancer subtype distribution is different in normal weight, overweight, and obese women</atitle><jtitle>Breast cancer research and treatment</jtitle><stitle>Breast Cancer Res Treat</stitle><addtitle>Breast Cancer Res Treat</addtitle><date>2017-06-01</date><risdate>2017</risdate><volume>163</volume><issue>2</issue><spage>375</spage><epage>381</epage><pages>375-381</pages><issn>0167-6806</issn><eissn>1573-7217</eissn><coden>BCTRD6</coden><abstract>Purpose
Obesity is associated with tumor promoting pathways related to insulin resistance and chronic low-grade inflammation which have been linked to various disease states, including cancer. Many studies have focused on the relationship between obesity and increased estrogen production, which contributes to the pathogenesis of estrogen receptor-positive breast cancers. The link between obesity and other breast cancer subtypes, such as triple-negative breast cancer (TNBC) and Her2/neu+ (Her2+) breast cancer, is less clear. We hypothesize that obesity may be associated with the pathogenesis of specific breast cancer subtypes resulting in a different subtype distribution than normal weight women.
Methods
A single-institution, retrospective analysis of tumor characteristics of 848 patients diagnosed with primary operable breast cancer between 2000 and 2013 was performed to evaluate the association between BMI and clinical outcome. Patients were grouped based on their BMI at time of diagnosis stratified into three subgroups: normal weight (BMI = 18–24.9), overweight (BMI = 25–29.9), and obese (BMI > 30). The distribution of breast cancer subtypes across the three BMI subgroups was compared.
Results
Obese and overweight women were more likely to present with TNBC and normal weight women with Her2+ breast cancer (
p
= 0.008).
Conclusions
We demonstrated, for the first time, that breast cancer subtype distribution varied significantly according to BMI status. Our results suggested that obesity might activate molecular pathways other than the well-known obesity/estrogen circuit in the pathogenesis of breast cancer. Future studies are needed to understand the molecular mechanisms that drive the variation in subtype distribution across BMI subgroups.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>28293912</pmid><doi>10.1007/s10549-017-4192-x</doi><tpages>7</tpages></addata></record> |
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subjects | Aged Body Mass Index Breast cancer Cancer research Disease-Free Survival Epidemiology Humans Lymphatic Metastasis Medicine Medicine & Public Health Middle Aged Obesity - metabolism Obesity - mortality Obesity - pathology Oncology Proportional Hazards Models Receptor, ErbB-2 - metabolism Retrospective Studies Treatment Outcome Triple Negative Breast Neoplasms - metabolism Triple Negative Breast Neoplasms - mortality Triple Negative Breast Neoplasms - pathology |
title | Breast cancer subtype distribution is different in normal weight, overweight, and obese women |
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