Serum osteoprotegerin levels and mammographic density among high-risk women
Purpose Mammographic density is a risk factor for breast cancer but the mechanism behind this association is unclear. The receptor activator of nuclear factor κB (RANK)/RANK ligand (RANKL) pathway has been implicated in the development of breast cancer. Given the role of RANK signaling in mammary ep...
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creator | Moran, Olivia Zaman, Tasnim Eisen, Andrea Demsky, Rochelle Blackmore, Kristina Knight, Julia A. Elser, Christine Ginsburg, Ophira Zbuk, Kevin Yaffe, Martin Narod, Steven A. Salmena, Leonardo Kotsopoulos, Joanne |
description | Purpose
Mammographic density is a risk factor for breast cancer but the mechanism behind this association is unclear. The receptor activator of nuclear factor κB (RANK)/RANK ligand (RANKL) pathway has been implicated in the development of breast cancer. Given the role of RANK signaling in mammary epithelial cell proliferation, we hypothesized this pathway may also be associated with mammographic density. Osteoprotegerin (OPG), a decoy receptor for RANKL, is known to inhibit RANK signaling. Thus, it is of interest to evaluate whether OPG levels modify breast cancer risk through mammographic density.
Methods
We quantified serum OPG levels in 57 premenopausal and 43 postmenopausal women using an enzyme-linked immunosorbent assay (ELISA). Cumulus was used to measure percent density, dense area, and non-dense area for each mammographic image. Subjects were classified into high versus low OPG levels based on the median serum OPG level in the entire cohort (115.1 pg/mL). Multivariate models were used to assess the relationship between serum OPG levels and the measures of mammographic density.
Results
Serum OPG levels were not associated with mammographic density among premenopausal women (
P
≥ 0.42). Among postmenopausal women, those with low serum OPG levels had higher mean percent mammographic density (20.9% vs. 13.7%;
P
= 0.04) and mean dense area (23.4 cm
2
vs. 15.2 cm
2
;
P
= 0.02) compared to those with high serum OPG levels after covariate adjustment.
Conclusions
These findings suggest that low OPG levels may be associated with high mammographic density, particularly in postmenopausal women. Targeting RANK signaling may represent a plausible, non-surgical prevention option for high-risk women with high mammographic density, especially those with low circulating OPG levels. |
doi_str_mv | 10.1007/s10552-018-1035-y |
format | Article |
fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_2028957288</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>48693298</jstor_id><sourcerecordid>48693298</sourcerecordid><originalsourceid>FETCH-LOGICAL-c394t-92bce6b1fa98a629490cccf9688b4cc043dccca494cfbdfcf4423498a834abe73</originalsourceid><addsrcrecordid>eNp9kDtPwzAYRS0EoqXwAxhAkVhYDH4lsUdU8RKVGIDZchynTYnjYieg_ntcpRSJgcmyfO719x0ATjG6wgjl1wGjNCUQYQ4xoilc74ExTnMKc0LSfTBGIs1hShgdgaMQlgihNCPoEIyIyHJBMjIGTy_G9zZxoTNu5V1n5sbXbdKYT9OERLVlYpW1bu7ValHrpDRtqLt1oqxr58mini-gr8N78uWsaY_BQaWaYE625wS83d2-Th_g7Pn-cXozg5oK1kFBCm2yAldKcJURwQTSWlci47xgWiNGy3hXTDBdFWWlK8YIZZHllKnC5HQCLofeOPBHb0InbR20aRrVGtcHSRDhcXPCeUQv_qBL1_s2TrehciEopShSeKC0dyF4U8mVr63ya4mR3JiWg2kZTcuNabmOmfNtc19YU-4SP2ojQAYgxKc2av39-r_WsyG0DJ3zu1LGM0GJ4PQbL2yUDQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2027993330</pqid></control><display><type>article</type><title>Serum osteoprotegerin levels and mammographic density among high-risk women</title><source>Jstor Complete Legacy</source><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Moran, Olivia ; Zaman, Tasnim ; Eisen, Andrea ; Demsky, Rochelle ; Blackmore, Kristina ; Knight, Julia A. ; Elser, Christine ; Ginsburg, Ophira ; Zbuk, Kevin ; Yaffe, Martin ; Narod, Steven A. ; Salmena, Leonardo ; Kotsopoulos, Joanne</creator><creatorcontrib>Moran, Olivia ; Zaman, Tasnim ; Eisen, Andrea ; Demsky, Rochelle ; Blackmore, Kristina ; Knight, Julia A. ; Elser, Christine ; Ginsburg, Ophira ; Zbuk, Kevin ; Yaffe, Martin ; Narod, Steven A. ; Salmena, Leonardo ; Kotsopoulos, Joanne</creatorcontrib><description>Purpose
Mammographic density is a risk factor for breast cancer but the mechanism behind this association is unclear. The receptor activator of nuclear factor κB (RANK)/RANK ligand (RANKL) pathway has been implicated in the development of breast cancer. Given the role of RANK signaling in mammary epithelial cell proliferation, we hypothesized this pathway may also be associated with mammographic density. Osteoprotegerin (OPG), a decoy receptor for RANKL, is known to inhibit RANK signaling. Thus, it is of interest to evaluate whether OPG levels modify breast cancer risk through mammographic density.
Methods
We quantified serum OPG levels in 57 premenopausal and 43 postmenopausal women using an enzyme-linked immunosorbent assay (ELISA). Cumulus was used to measure percent density, dense area, and non-dense area for each mammographic image. Subjects were classified into high versus low OPG levels based on the median serum OPG level in the entire cohort (115.1 pg/mL). Multivariate models were used to assess the relationship between serum OPG levels and the measures of mammographic density.
Results
Serum OPG levels were not associated with mammographic density among premenopausal women (
P
≥ 0.42). Among postmenopausal women, those with low serum OPG levels had higher mean percent mammographic density (20.9% vs. 13.7%;
P
= 0.04) and mean dense area (23.4 cm
2
vs. 15.2 cm
2
;
P
= 0.02) compared to those with high serum OPG levels after covariate adjustment.
Conclusions
These findings suggest that low OPG levels may be associated with high mammographic density, particularly in postmenopausal women. Targeting RANK signaling may represent a plausible, non-surgical prevention option for high-risk women with high mammographic density, especially those with low circulating OPG levels.</description><identifier>ISSN: 0957-5243</identifier><identifier>EISSN: 1573-7225</identifier><identifier>DOI: 10.1007/s10552-018-1035-y</identifier><identifier>PMID: 29679262</identifier><language>eng</language><publisher>Cham: Springer Science + Business Media</publisher><subject>Adult ; Aged ; Biocompatibility ; Biomedical and Life Sciences ; Biomedicine ; Breast cancer ; Breast Density ; Breast Neoplasms - pathology ; Cancer ; Cancer Research ; Cell proliferation ; Cohort Studies ; Density ; Enzyme-linked immunosorbent assay ; Epidemiology ; Epithelial cells ; Female ; Health risk assessment ; Health risks ; Hematology ; Humans ; Mammary gland ; Mammography ; Middle Aged ; Oncology ; ORIGINAL PAPER ; Osteoprotegerin ; Osteoprotegerin - blood ; Post-menopause ; Public Health ; RANK Ligand - metabolism ; Receptor Activator of Nuclear Factor-kappa B - metabolism ; Risk Factors ; Signal transduction ; Surgery ; TRANCE protein</subject><ispartof>Cancer causes & control, 2018-06, Vol.29 (6), p.507-517</ispartof><rights>Springer International Publishing AG, part of Springer Nature 2018</rights><rights>Cancer Causes & Control is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c394t-92bce6b1fa98a629490cccf9688b4cc043dccca494cfbdfcf4423498a834abe73</citedby><cites>FETCH-LOGICAL-c394t-92bce6b1fa98a629490cccf9688b4cc043dccca494cfbdfcf4423498a834abe73</cites><orcidid>0000-0001-9624-4218</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/48693298$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/48693298$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27901,27902,41464,42533,51294,57992,58225</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29679262$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Moran, Olivia</creatorcontrib><creatorcontrib>Zaman, Tasnim</creatorcontrib><creatorcontrib>Eisen, Andrea</creatorcontrib><creatorcontrib>Demsky, Rochelle</creatorcontrib><creatorcontrib>Blackmore, Kristina</creatorcontrib><creatorcontrib>Knight, Julia A.</creatorcontrib><creatorcontrib>Elser, Christine</creatorcontrib><creatorcontrib>Ginsburg, Ophira</creatorcontrib><creatorcontrib>Zbuk, Kevin</creatorcontrib><creatorcontrib>Yaffe, Martin</creatorcontrib><creatorcontrib>Narod, Steven A.</creatorcontrib><creatorcontrib>Salmena, Leonardo</creatorcontrib><creatorcontrib>Kotsopoulos, Joanne</creatorcontrib><title>Serum osteoprotegerin levels and mammographic density among high-risk women</title><title>Cancer causes & control</title><addtitle>Cancer Causes Control</addtitle><addtitle>Cancer Causes Control</addtitle><description>Purpose
Mammographic density is a risk factor for breast cancer but the mechanism behind this association is unclear. The receptor activator of nuclear factor κB (RANK)/RANK ligand (RANKL) pathway has been implicated in the development of breast cancer. Given the role of RANK signaling in mammary epithelial cell proliferation, we hypothesized this pathway may also be associated with mammographic density. Osteoprotegerin (OPG), a decoy receptor for RANKL, is known to inhibit RANK signaling. Thus, it is of interest to evaluate whether OPG levels modify breast cancer risk through mammographic density.
Methods
We quantified serum OPG levels in 57 premenopausal and 43 postmenopausal women using an enzyme-linked immunosorbent assay (ELISA). Cumulus was used to measure percent density, dense area, and non-dense area for each mammographic image. Subjects were classified into high versus low OPG levels based on the median serum OPG level in the entire cohort (115.1 pg/mL). Multivariate models were used to assess the relationship between serum OPG levels and the measures of mammographic density.
Results
Serum OPG levels were not associated with mammographic density among premenopausal women (
P
≥ 0.42). Among postmenopausal women, those with low serum OPG levels had higher mean percent mammographic density (20.9% vs. 13.7%;
P
= 0.04) and mean dense area (23.4 cm
2
vs. 15.2 cm
2
;
P
= 0.02) compared to those with high serum OPG levels after covariate adjustment.
Conclusions
These findings suggest that low OPG levels may be associated with high mammographic density, particularly in postmenopausal women. Targeting RANK signaling may represent a plausible, non-surgical prevention option for high-risk women with high mammographic density, especially those with low circulating OPG levels.</description><subject>Adult</subject><subject>Aged</subject><subject>Biocompatibility</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Breast cancer</subject><subject>Breast Density</subject><subject>Breast Neoplasms - pathology</subject><subject>Cancer</subject><subject>Cancer Research</subject><subject>Cell proliferation</subject><subject>Cohort Studies</subject><subject>Density</subject><subject>Enzyme-linked immunosorbent assay</subject><subject>Epidemiology</subject><subject>Epithelial cells</subject><subject>Female</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Hematology</subject><subject>Humans</subject><subject>Mammary gland</subject><subject>Mammography</subject><subject>Middle Aged</subject><subject>Oncology</subject><subject>ORIGINAL PAPER</subject><subject>Osteoprotegerin</subject><subject>Osteoprotegerin - blood</subject><subject>Post-menopause</subject><subject>Public Health</subject><subject>RANK Ligand - metabolism</subject><subject>Receptor Activator of Nuclear Factor-kappa B - metabolism</subject><subject>Risk Factors</subject><subject>Signal transduction</subject><subject>Surgery</subject><subject>TRANCE protein</subject><issn>0957-5243</issn><issn>1573-7225</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kDtPwzAYRS0EoqXwAxhAkVhYDH4lsUdU8RKVGIDZchynTYnjYieg_ntcpRSJgcmyfO719x0ATjG6wgjl1wGjNCUQYQ4xoilc74ExTnMKc0LSfTBGIs1hShgdgaMQlgihNCPoEIyIyHJBMjIGTy_G9zZxoTNu5V1n5sbXbdKYT9OERLVlYpW1bu7ValHrpDRtqLt1oqxr58mini-gr8N78uWsaY_BQaWaYE625wS83d2-Th_g7Pn-cXozg5oK1kFBCm2yAldKcJURwQTSWlci47xgWiNGy3hXTDBdFWWlK8YIZZHllKnC5HQCLofeOPBHb0InbR20aRrVGtcHSRDhcXPCeUQv_qBL1_s2TrehciEopShSeKC0dyF4U8mVr63ya4mR3JiWg2kZTcuNabmOmfNtc19YU-4SP2ojQAYgxKc2av39-r_WsyG0DJ3zu1LGM0GJ4PQbL2yUDQ</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Moran, Olivia</creator><creator>Zaman, Tasnim</creator><creator>Eisen, Andrea</creator><creator>Demsky, Rochelle</creator><creator>Blackmore, Kristina</creator><creator>Knight, Julia A.</creator><creator>Elser, Christine</creator><creator>Ginsburg, Ophira</creator><creator>Zbuk, Kevin</creator><creator>Yaffe, Martin</creator><creator>Narod, Steven A.</creator><creator>Salmena, Leonardo</creator><creator>Kotsopoulos, Joanne</creator><general>Springer Science + Business Media</general><general>Springer International Publishing</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>7RV</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>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9624-4218</orcidid></search><sort><creationdate>20180601</creationdate><title>Serum osteoprotegerin levels and mammographic density among high-risk women</title><author>Moran, Olivia ; Zaman, Tasnim ; Eisen, Andrea ; Demsky, Rochelle ; Blackmore, Kristina ; Knight, Julia A. ; Elser, Christine ; Ginsburg, Ophira ; Zbuk, Kevin ; Yaffe, Martin ; Narod, Steven A. ; Salmena, Leonardo ; Kotsopoulos, Joanne</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c394t-92bce6b1fa98a629490cccf9688b4cc043dccca494cfbdfcf4423498a834abe73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biocompatibility</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Breast cancer</topic><topic>Breast Density</topic><topic>Breast Neoplasms - pathology</topic><topic>Cancer</topic><topic>Cancer Research</topic><topic>Cell proliferation</topic><topic>Cohort Studies</topic><topic>Density</topic><topic>Enzyme-linked immunosorbent assay</topic><topic>Epidemiology</topic><topic>Epithelial cells</topic><topic>Female</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Hematology</topic><topic>Humans</topic><topic>Mammary gland</topic><topic>Mammography</topic><topic>Middle Aged</topic><topic>Oncology</topic><topic>ORIGINAL PAPER</topic><topic>Osteoprotegerin</topic><topic>Osteoprotegerin - blood</topic><topic>Post-menopause</topic><topic>Public Health</topic><topic>RANK Ligand - metabolism</topic><topic>Receptor Activator of Nuclear Factor-kappa B - metabolism</topic><topic>Risk Factors</topic><topic>Signal transduction</topic><topic>Surgery</topic><topic>TRANCE protein</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moran, Olivia</creatorcontrib><creatorcontrib>Zaman, Tasnim</creatorcontrib><creatorcontrib>Eisen, Andrea</creatorcontrib><creatorcontrib>Demsky, Rochelle</creatorcontrib><creatorcontrib>Blackmore, Kristina</creatorcontrib><creatorcontrib>Knight, Julia A.</creatorcontrib><creatorcontrib>Elser, Christine</creatorcontrib><creatorcontrib>Ginsburg, Ophira</creatorcontrib><creatorcontrib>Zbuk, Kevin</creatorcontrib><creatorcontrib>Yaffe, Martin</creatorcontrib><creatorcontrib>Narod, Steven A.</creatorcontrib><creatorcontrib>Salmena, Leonardo</creatorcontrib><creatorcontrib>Kotsopoulos, Joanne</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>Proquest Nursing & Allied Health Source</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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</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 China</collection><collection>MEDLINE - Academic</collection><jtitle>Cancer causes & control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moran, Olivia</au><au>Zaman, Tasnim</au><au>Eisen, Andrea</au><au>Demsky, Rochelle</au><au>Blackmore, Kristina</au><au>Knight, Julia A.</au><au>Elser, Christine</au><au>Ginsburg, Ophira</au><au>Zbuk, Kevin</au><au>Yaffe, Martin</au><au>Narod, Steven A.</au><au>Salmena, Leonardo</au><au>Kotsopoulos, Joanne</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Serum osteoprotegerin levels and mammographic density among high-risk women</atitle><jtitle>Cancer causes & control</jtitle><stitle>Cancer Causes Control</stitle><addtitle>Cancer Causes Control</addtitle><date>2018-06-01</date><risdate>2018</risdate><volume>29</volume><issue>6</issue><spage>507</spage><epage>517</epage><pages>507-517</pages><issn>0957-5243</issn><eissn>1573-7225</eissn><abstract>Purpose
Mammographic density is a risk factor for breast cancer but the mechanism behind this association is unclear. The receptor activator of nuclear factor κB (RANK)/RANK ligand (RANKL) pathway has been implicated in the development of breast cancer. Given the role of RANK signaling in mammary epithelial cell proliferation, we hypothesized this pathway may also be associated with mammographic density. Osteoprotegerin (OPG), a decoy receptor for RANKL, is known to inhibit RANK signaling. Thus, it is of interest to evaluate whether OPG levels modify breast cancer risk through mammographic density.
Methods
We quantified serum OPG levels in 57 premenopausal and 43 postmenopausal women using an enzyme-linked immunosorbent assay (ELISA). Cumulus was used to measure percent density, dense area, and non-dense area for each mammographic image. Subjects were classified into high versus low OPG levels based on the median serum OPG level in the entire cohort (115.1 pg/mL). Multivariate models were used to assess the relationship between serum OPG levels and the measures of mammographic density.
Results
Serum OPG levels were not associated with mammographic density among premenopausal women (
P
≥ 0.42). Among postmenopausal women, those with low serum OPG levels had higher mean percent mammographic density (20.9% vs. 13.7%;
P
= 0.04) and mean dense area (23.4 cm
2
vs. 15.2 cm
2
;
P
= 0.02) compared to those with high serum OPG levels after covariate adjustment.
Conclusions
These findings suggest that low OPG levels may be associated with high mammographic density, particularly in postmenopausal women. Targeting RANK signaling may represent a plausible, non-surgical prevention option for high-risk women with high mammographic density, especially those with low circulating OPG levels.</abstract><cop>Cham</cop><pub>Springer Science + Business Media</pub><pmid>29679262</pmid><doi>10.1007/s10552-018-1035-y</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-9624-4218</orcidid></addata></record> |
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source | Jstor Complete Legacy; MEDLINE; Springer Nature - Complete Springer Journals |
subjects | Adult Aged Biocompatibility Biomedical and Life Sciences Biomedicine Breast cancer Breast Density Breast Neoplasms - pathology Cancer Cancer Research Cell proliferation Cohort Studies Density Enzyme-linked immunosorbent assay Epidemiology Epithelial cells Female Health risk assessment Health risks Hematology Humans Mammary gland Mammography Middle Aged Oncology ORIGINAL PAPER Osteoprotegerin Osteoprotegerin - blood Post-menopause Public Health RANK Ligand - metabolism Receptor Activator of Nuclear Factor-kappa B - metabolism Risk Factors Signal transduction Surgery TRANCE protein |
title | Serum osteoprotegerin levels and mammographic density among high-risk women |
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