The Impact of Young Age for Prognosis by Subtype in Women with Early Breast Cancer
Young age (≤40 years) use to be considered an independent risk factor for the prognosis of women with early-stage breast cancer. We conducted a retrospective analysis to investigate this claim in a population of young patients who were stratified by molecular subtype. We identified 2,125 women with...
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description | Young age (≤40 years) use to be considered an independent risk factor for the prognosis of women with early-stage breast cancer. We conducted a retrospective analysis to investigate this claim in a population of young patients who were stratified by molecular subtype. We identified 2,125 women with stage I to III breast cancer from the Fujian Medical University Union Hospital. Multivariable Cox proportional hazards models were used to analyze the relationship between age groups stratified by molecular subtype and 5-year disease-free survival (DFS), 5-year distant metastasis-free survival (DMFS), and 5-year breast cancer-specific survival (BCSS). Median follow-up time was 77 months. Patients ≤40 years of age presented with a significantly worse 5-year DFS and 5-year DMFS. In stratified analyses, young women with luminal A subtype disease were associated with a worse 5-year DFS, 5-year DMFS, and 5-year BCSS. Women with luminal B (Her2−) tumors showed a decrease in 5-year DFS and 5-year DMFS. Our findings support the hypothesis that young age seems to be an independent risk factor for the prognosis for breast cancer patients with the luminal A and luminal B (Her2−) subtypes but not in those with luminal B (Her2+), Her2 over-expression, and triple-negative disease. |
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We conducted a retrospective analysis to investigate this claim in a population of young patients who were stratified by molecular subtype. We identified 2,125 women with stage I to III breast cancer from the Fujian Medical University Union Hospital. Multivariable Cox proportional hazards models were used to analyze the relationship between age groups stratified by molecular subtype and 5-year disease-free survival (DFS), 5-year distant metastasis-free survival (DMFS), and 5-year breast cancer-specific survival (BCSS). Median follow-up time was 77 months. Patients ≤40 years of age presented with a significantly worse 5-year DFS and 5-year DMFS. In stratified analyses, young women with luminal A subtype disease were associated with a worse 5-year DFS, 5-year DMFS, and 5-year BCSS. Women with luminal B (Her2−) tumors showed a decrease in 5-year DFS and 5-year DMFS. Our findings support the hypothesis that young age seems to be an independent risk factor for the prognosis for breast cancer patients with the luminal A and luminal B (Her2−) subtypes but not in those with luminal B (Her2+), Her2 over-expression, and triple-negative disease.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-017-10414-x</identifier><identifier>PMID: 28912475</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>14/32 ; 631/67/1347 ; 692/4028/67/1347 ; Adult ; Age ; Age Factors ; Aged ; Biomarkers, Tumor ; Breast cancer ; Breast Neoplasms - epidemiology ; Breast Neoplasms - etiology ; Breast Neoplasms - pathology ; Breast Neoplasms - therapy ; Combined Modality Therapy ; ErbB-2 protein ; Female ; Health risk assessment ; Humanities and Social Sciences ; Humans ; Medical prognosis ; Metastases ; Middle Aged ; multidisciplinary ; Neoplasm Grading ; Neoplasm Staging ; Overexpression ; Prognosis ; Proportional Hazards Models ; Risk factors ; Science ; Science (multidisciplinary) ; Survival ; Treatment Outcome ; Tumors ; Womens health ; Young Adult</subject><ispartof>Scientific reports, 2017-09, Vol.7 (1), p.11625-8, Article 11625</ispartof><rights>The Author(s) 2017</rights><rights>2017. 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We conducted a retrospective analysis to investigate this claim in a population of young patients who were stratified by molecular subtype. We identified 2,125 women with stage I to III breast cancer from the Fujian Medical University Union Hospital. Multivariable Cox proportional hazards models were used to analyze the relationship between age groups stratified by molecular subtype and 5-year disease-free survival (DFS), 5-year distant metastasis-free survival (DMFS), and 5-year breast cancer-specific survival (BCSS). Median follow-up time was 77 months. Patients ≤40 years of age presented with a significantly worse 5-year DFS and 5-year DMFS. In stratified analyses, young women with luminal A subtype disease were associated with a worse 5-year DFS, 5-year DMFS, and 5-year BCSS. Women with luminal B (Her2−) tumors showed a decrease in 5-year DFS and 5-year DMFS. Our findings support the hypothesis that young age seems to be an independent risk factor for the prognosis for breast cancer patients with the luminal A and luminal B (Her2−) subtypes but not in those with luminal B (Her2+), Her2 over-expression, and triple-negative disease.</description><subject>14/32</subject><subject>631/67/1347</subject><subject>692/4028/67/1347</subject><subject>Adult</subject><subject>Age</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Biomarkers, Tumor</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - epidemiology</subject><subject>Breast Neoplasms - etiology</subject><subject>Breast Neoplasms - pathology</subject><subject>Breast Neoplasms - therapy</subject><subject>Combined Modality Therapy</subject><subject>ErbB-2 protein</subject><subject>Female</subject><subject>Health risk assessment</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Medical prognosis</subject><subject>Metastases</subject><subject>Middle Aged</subject><subject>multidisciplinary</subject><subject>Neoplasm Grading</subject><subject>Neoplasm Staging</subject><subject>Overexpression</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Risk factors</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Survival</subject><subject>Treatment Outcome</subject><subject>Tumors</subject><subject>Womens health</subject><subject>Young Adult</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kUtLxDAUhYMoKuofcCEBN26qeU6ajaDD-IABxQfiKqQx7VTaZExadf690RllFMwmIee7597LAWAXo0OMaH4UGeYyzxAWGUYMs-x9BWwSxHhGKCGrS-8NsBPjM0qHE8mwXAcbJJeYMME3wc3dxMLLdqpNB30JH33vKnhSWVj6AK-Dr5yPdYTFDN72RTebWlg7-OBb6-Bb3U3gSIdmBk-D1bGDQ-2MDdtgrdRNtDuLewvcn43uhhfZ-Or8cngyzgwTrMsKgQ3TGBlrS8SpfiIllTkRnDKZZs8HZiCwKAhmZWmSzHSOc5GnjwIPuBjQLXA89532RWufjHVd0I2ahrrVYaa8rtVvxdUTVflXxbmUTPJkcLAwCP6lt7FTbR2NbRrtrO-jwpKhNAhHIqH7f9Bn3weX1ksUZ5RTiliiyJwywccYbPkzDEbqMzU1T02l1NRXauo9Fe0tr_FT8p1RAugciElylQ1Lvf-3_QBYI6F-</recordid><startdate>20170914</startdate><enddate>20170914</enddate><creator>Lian, Weibin</creator><creator>Fu, Fangmeng</creator><creator>Lin, Yuxiang</creator><creator>Lu, Minjun</creator><creator>Chen, Boyang</creator><creator>Yang, Peidong</creator><creator>Zeng, Bangwei</creator><creator>Huang, Meng</creator><creator>Wang, Chuan</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><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>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170914</creationdate><title>The Impact of Young Age for Prognosis by Subtype in Women with Early Breast Cancer</title><author>Lian, Weibin ; Fu, Fangmeng ; Lin, Yuxiang ; Lu, Minjun ; Chen, Boyang ; Yang, Peidong ; Zeng, Bangwei ; Huang, Meng ; Wang, Chuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-b71c4a10ceef053ad2f39827534920486c6717b214ffc3ad4a81878b21b165763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>14/32</topic><topic>631/67/1347</topic><topic>692/4028/67/1347</topic><topic>Adult</topic><topic>Age</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Biomarkers, Tumor</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - epidemiology</topic><topic>Breast Neoplasms - etiology</topic><topic>Breast Neoplasms - pathology</topic><topic>Breast Neoplasms - therapy</topic><topic>Combined Modality Therapy</topic><topic>ErbB-2 protein</topic><topic>Female</topic><topic>Health risk assessment</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Medical prognosis</topic><topic>Metastases</topic><topic>Middle Aged</topic><topic>multidisciplinary</topic><topic>Neoplasm Grading</topic><topic>Neoplasm Staging</topic><topic>Overexpression</topic><topic>Prognosis</topic><topic>Proportional Hazards Models</topic><topic>Risk factors</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Survival</topic><topic>Treatment Outcome</topic><topic>Tumors</topic><topic>Womens health</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lian, Weibin</creatorcontrib><creatorcontrib>Fu, Fangmeng</creatorcontrib><creatorcontrib>Lin, Yuxiang</creatorcontrib><creatorcontrib>Lu, Minjun</creatorcontrib><creatorcontrib>Chen, Boyang</creatorcontrib><creatorcontrib>Yang, Peidong</creatorcontrib><creatorcontrib>Zeng, Bangwei</creatorcontrib><creatorcontrib>Huang, Meng</creatorcontrib><creatorcontrib>Wang, Chuan</creatorcontrib><collection>Springer Nature OA/Free Journals</collection><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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</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 One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lian, Weibin</au><au>Fu, Fangmeng</au><au>Lin, Yuxiang</au><au>Lu, Minjun</au><au>Chen, Boyang</au><au>Yang, Peidong</au><au>Zeng, Bangwei</au><au>Huang, Meng</au><au>Wang, Chuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Impact of Young Age for Prognosis by Subtype in Women with Early Breast Cancer</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2017-09-14</date><risdate>2017</risdate><volume>7</volume><issue>1</issue><spage>11625</spage><epage>8</epage><pages>11625-8</pages><artnum>11625</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Young age (≤40 years) use to be considered an independent risk factor for the prognosis of women with early-stage breast cancer. We conducted a retrospective analysis to investigate this claim in a population of young patients who were stratified by molecular subtype. We identified 2,125 women with stage I to III breast cancer from the Fujian Medical University Union Hospital. Multivariable Cox proportional hazards models were used to analyze the relationship between age groups stratified by molecular subtype and 5-year disease-free survival (DFS), 5-year distant metastasis-free survival (DMFS), and 5-year breast cancer-specific survival (BCSS). Median follow-up time was 77 months. Patients ≤40 years of age presented with a significantly worse 5-year DFS and 5-year DMFS. In stratified analyses, young women with luminal A subtype disease were associated with a worse 5-year DFS, 5-year DMFS, and 5-year BCSS. Women with luminal B (Her2−) tumors showed a decrease in 5-year DFS and 5-year DMFS. Our findings support the hypothesis that young age seems to be an independent risk factor for the prognosis for breast cancer patients with the luminal A and luminal B (Her2−) subtypes but not in those with luminal B (Her2+), Her2 over-expression, and triple-negative disease.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>28912475</pmid><doi>10.1038/s41598-017-10414-x</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 14/32 631/67/1347 692/4028/67/1347 Adult Age Age Factors Aged Biomarkers, Tumor Breast cancer Breast Neoplasms - epidemiology Breast Neoplasms - etiology Breast Neoplasms - pathology Breast Neoplasms - therapy Combined Modality Therapy ErbB-2 protein Female Health risk assessment Humanities and Social Sciences Humans Medical prognosis Metastases Middle Aged multidisciplinary Neoplasm Grading Neoplasm Staging Overexpression Prognosis Proportional Hazards Models Risk factors Science Science (multidisciplinary) Survival Treatment Outcome Tumors Womens health Young Adult |
title | The Impact of Young Age for Prognosis by Subtype in Women with Early Breast Cancer |
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