Nicole C Loroña, Megan Othus, Kathleen E Malone, Hannah M Linden, Mei-Tzu C Tang, Christopher I Li
{"title":"代谢综合征与腔隙性、三阴性和 HER2-表达亚型乳腺癌预后的风险。","authors":"Nicole C Loroña, Megan Othus, Kathleen E Malone, Hannah M Linden, Mei-Tzu C Tang, Christopher I Li","doi":"10.1158/1055-9965.EPI-24-1167","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>We evaluated the association between metabolic syndrome (obesity plus two metabolic risk factors) and breast cancer outcomes according to molecular subtype.</p><p><strong>Methods: </strong>This population-based prospective cohort consisted of 3,267 women aged 20-69 diagnosed with a first primary invasive breast cancer from 2004-2015 in the Seattle-Puget Sound region. Breast cancer was categorized into three subtypes based on estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression: luminal (ER+), triple-negative (ER-/PR-/HER2-), and HER2-overexpressing (H2E) (ER-/HER2+). We used time-varying Cox models to assess the association between prevalent and incident metabolic syndrome and risks of recurrence, breast cancer-specific mortality, and all-cause mortality.</p><p><strong>Results: </strong>Metabolic syndrome was associated with a greater risk of recurrence (HR:3.24; 95% CI:1.13-9.33) and breast cancer-specific mortality (HR:5.34; 95% CI:2.32-12.31) only for the H2E subtype, and greater risks of all-cause mortality for luminal (HR:1.92; 95% CI:1.37-2.68), H2E (HR:5.09; 95% CI:2.51-10.32), and all cases combined (HR:1.90; 95% CI:1.42,2.53). We also observed heterogeneity in recurrence and mortality outcomes across specific components of metabolic syndrome and molecular subtypes.</p><p><strong>Conclusions: </strong>Metabolic syndrome is associated with all-cause mortality among women with breast cancer and with breast cancer-specific mortality among women with the H2E subtype.</p><p><strong>Impact: </strong>These results highlight the importance of managing comorbidities to decrease the risk for adverse outcomes among breast cancer survivors.</p>","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Metabolic syndrome and risks of breast cancer outcomes for luminal, triple-negative, and HER2-overexpressing subtypes.\",\"authors\":\"Nicole C Loroña, Megan Othus, Kathleen E Malone, Hannah M Linden, Mei-Tzu C Tang, Christopher I Li\",\"doi\":\"10.1158/1055-9965.EPI-24-1167\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>We evaluated the association between metabolic syndrome (obesity plus two metabolic risk factors) and breast cancer outcomes according to molecular subtype.</p><p><strong>Methods: </strong>This population-based prospective cohort consisted of 3,267 women aged 20-69 diagnosed with a first primary invasive breast cancer from 2004-2015 in the Seattle-Puget Sound region. Breast cancer was categorized into three subtypes based on estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression: luminal (ER+), triple-negative (ER-/PR-/HER2-), and HER2-overexpressing (H2E) (ER-/HER2+). We used time-varying Cox models to assess the association between prevalent and incident metabolic syndrome and risks of recurrence, breast cancer-specific mortality, and all-cause mortality.</p><p><strong>Results: </strong>Metabolic syndrome was associated with a greater risk of recurrence (HR:3.24; 95% CI:1.13-9.33) and breast cancer-specific mortality (HR:5.34; 95% CI:2.32-12.31) only for the H2E subtype, and greater risks of all-cause mortality for luminal (HR:1.92; 95% CI:1.37-2.68), H2E (HR:5.09; 95% CI:2.51-10.32), and all cases combined (HR:1.90; 95% CI:1.42,2.53). We also observed heterogeneity in recurrence and mortality outcomes across specific components of metabolic syndrome and molecular subtypes.</p><p><strong>Conclusions: </strong>Metabolic syndrome is associated with all-cause mortality among women with breast cancer and with breast cancer-specific mortality among women with the H2E subtype.</p><p><strong>Impact: </strong>These results highlight the importance of managing comorbidities to decrease the risk for adverse outcomes among breast cancer survivors.</p>\",\"PeriodicalId\":9458,\"journal\":{\"name\":\"Cancer Epidemiology Biomarkers & Prevention\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Epidemiology Biomarkers & Prevention\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1158/1055-9965.EPI-24-1167\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Epidemiology Biomarkers & Prevention","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/1055-9965.EPI-24-1167","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
Metabolic syndrome and risks of breast cancer outcomes for luminal, triple-negative, and HER2-overexpressing subtypes.
Background: We evaluated the association between metabolic syndrome (obesity plus two metabolic risk factors) and breast cancer outcomes according to molecular subtype.
Methods: This population-based prospective cohort consisted of 3,267 women aged 20-69 diagnosed with a first primary invasive breast cancer from 2004-2015 in the Seattle-Puget Sound region. Breast cancer was categorized into three subtypes based on estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression: luminal (ER+), triple-negative (ER-/PR-/HER2-), and HER2-overexpressing (H2E) (ER-/HER2+). We used time-varying Cox models to assess the association between prevalent and incident metabolic syndrome and risks of recurrence, breast cancer-specific mortality, and all-cause mortality.
Results: Metabolic syndrome was associated with a greater risk of recurrence (HR:3.24; 95% CI:1.13-9.33) and breast cancer-specific mortality (HR:5.34; 95% CI:2.32-12.31) only for the H2E subtype, and greater risks of all-cause mortality for luminal (HR:1.92; 95% CI:1.37-2.68), H2E (HR:5.09; 95% CI:2.51-10.32), and all cases combined (HR:1.90; 95% CI:1.42,2.53). We also observed heterogeneity in recurrence and mortality outcomes across specific components of metabolic syndrome and molecular subtypes.
Conclusions: Metabolic syndrome is associated with all-cause mortality among women with breast cancer and with breast cancer-specific mortality among women with the H2E subtype.
Impact: These results highlight the importance of managing comorbidities to decrease the risk for adverse outcomes among breast cancer survivors.
期刊介绍:
Cancer Epidemiology, Biomarkers & Prevention publishes original peer-reviewed, population-based research on cancer etiology, prevention, surveillance, and survivorship. The following topics are of special interest: descriptive, analytical, and molecular epidemiology; biomarkers including assay development, validation, and application; chemoprevention and other types of prevention research in the context of descriptive and observational studies; the role of behavioral factors in cancer etiology and prevention; survivorship studies; risk factors; implementation science and cancer care delivery; and the science of cancer health disparities. Besides welcoming manuscripts that address individual subjects in any of the relevant disciplines, CEBP editors encourage the submission of manuscripts with a transdisciplinary approach.