Cargando…
Marital status is an independent prognostic factor in inflammatory breast cancer patients: an analysis of the surveillance, epidemiology, and end results database
OBJECTIVES: The aim of this analysis was to study the impact of marital status on inflammatory breast cancer (IBC) patients, as the prognostic impact is yet to be studied in detail. METHODS: Data of IBC patients from 2004 to 2010 were sorted out from the database of surveillance, epidemiology, and e...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797700/ https://www.ncbi.nlm.nih.gov/pubmed/31414242 http://dx.doi.org/10.1007/s10549-019-05385-8 |
_version_ | 1783459887572844544 |
---|---|
author | Liu, Yan-ling Wang, Dun-wei Yang, Zhu-chun Ma, Rui Li, Zhong Suo, Wei Zhao, Zhuang Li, Zhi-wen |
author_facet | Liu, Yan-ling Wang, Dun-wei Yang, Zhu-chun Ma, Rui Li, Zhong Suo, Wei Zhao, Zhuang Li, Zhi-wen |
author_sort | Liu, Yan-ling |
collection | PubMed |
description | OBJECTIVES: The aim of this analysis was to study the impact of marital status on inflammatory breast cancer (IBC) patients, as the prognostic impact is yet to be studied in detail. METHODS: Data of IBC patients from 2004 to 2010 were sorted out from the database of surveillance, epidemiology, and end results (SEER), and overall survival (OS) rates and breast cancer-specific survival (CSS) rates were compared between a group of married and unmarried patients. The comparison was performed by Kaplan–Meier method with log-rank test, and multivariate survival analysis of CSS and OS was performed using the Cox proportional hazard model. RESULTS: Data of 1342 patients were collected from the SEER database, on an average 52% of married patients (n = 698, 52.01%) and 48% of unmarried patients (n = 644, 47.99%) for this analysis. Married patients were more likely to be more younger (aged ≤ 56) (52.44% vs. 43.94%), white ethnicity (83.24% vs. 71.58%), HoR positive (48.28% vs. 41.61%), more patients received surgery (78.51% vs. 64.60%), chemotherapy (90.69% vs. 80.12%) and radiotherapy (53.44% vs. 44.41%) compared to unmarried group, and less likely to be AJCC stage IV (26.22% vs. 35.40%) (All P ˂ 0.05). Married patients had better 5-year CSS (74.90% vs. 65.55%, P < 0.0001) and OS rates (45.43% vs. 33.11%, P < 0.0001). The multivariate analysis revealed that marital status is an independent prognostic factor, whereas the data of unmarried patients showed worse CSS (HR 1.188; 95% CI 1.033–1.367; P = 0.016) and OS rates (HR 1.245; 95% CI 1.090–1.421; P = 0.001).The subgroup analysis further revealed that the OS and CSS rates in the married group were better than the unmarried group, regardless of different AJCC stages. CONCLUSION: Marital status was an independent prognostic indicator in IBC patients. As the study reveals, the CSS and OS rates of the married patients were better than those of the unmarried patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10549-019-05385-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6797700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-67977002019-11-01 Marital status is an independent prognostic factor in inflammatory breast cancer patients: an analysis of the surveillance, epidemiology, and end results database Liu, Yan-ling Wang, Dun-wei Yang, Zhu-chun Ma, Rui Li, Zhong Suo, Wei Zhao, Zhuang Li, Zhi-wen Breast Cancer Res Treat Clinical Trial OBJECTIVES: The aim of this analysis was to study the impact of marital status on inflammatory breast cancer (IBC) patients, as the prognostic impact is yet to be studied in detail. METHODS: Data of IBC patients from 2004 to 2010 were sorted out from the database of surveillance, epidemiology, and end results (SEER), and overall survival (OS) rates and breast cancer-specific survival (CSS) rates were compared between a group of married and unmarried patients. The comparison was performed by Kaplan–Meier method with log-rank test, and multivariate survival analysis of CSS and OS was performed using the Cox proportional hazard model. RESULTS: Data of 1342 patients were collected from the SEER database, on an average 52% of married patients (n = 698, 52.01%) and 48% of unmarried patients (n = 644, 47.99%) for this analysis. Married patients were more likely to be more younger (aged ≤ 56) (52.44% vs. 43.94%), white ethnicity (83.24% vs. 71.58%), HoR positive (48.28% vs. 41.61%), more patients received surgery (78.51% vs. 64.60%), chemotherapy (90.69% vs. 80.12%) and radiotherapy (53.44% vs. 44.41%) compared to unmarried group, and less likely to be AJCC stage IV (26.22% vs. 35.40%) (All P ˂ 0.05). Married patients had better 5-year CSS (74.90% vs. 65.55%, P < 0.0001) and OS rates (45.43% vs. 33.11%, P < 0.0001). The multivariate analysis revealed that marital status is an independent prognostic factor, whereas the data of unmarried patients showed worse CSS (HR 1.188; 95% CI 1.033–1.367; P = 0.016) and OS rates (HR 1.245; 95% CI 1.090–1.421; P = 0.001).The subgroup analysis further revealed that the OS and CSS rates in the married group were better than the unmarried group, regardless of different AJCC stages. CONCLUSION: Marital status was an independent prognostic indicator in IBC patients. As the study reveals, the CSS and OS rates of the married patients were better than those of the unmarried patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10549-019-05385-8) contains supplementary material, which is available to authorized users. Springer US 2019-08-14 2019 /pmc/articles/PMC6797700/ /pubmed/31414242 http://dx.doi.org/10.1007/s10549-019-05385-8 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Clinical Trial Liu, Yan-ling Wang, Dun-wei Yang, Zhu-chun Ma, Rui Li, Zhong Suo, Wei Zhao, Zhuang Li, Zhi-wen Marital status is an independent prognostic factor in inflammatory breast cancer patients: an analysis of the surveillance, epidemiology, and end results database |
title | Marital status is an independent prognostic factor in inflammatory breast cancer patients: an analysis of the surveillance, epidemiology, and end results database |
title_full | Marital status is an independent prognostic factor in inflammatory breast cancer patients: an analysis of the surveillance, epidemiology, and end results database |
title_fullStr | Marital status is an independent prognostic factor in inflammatory breast cancer patients: an analysis of the surveillance, epidemiology, and end results database |
title_full_unstemmed | Marital status is an independent prognostic factor in inflammatory breast cancer patients: an analysis of the surveillance, epidemiology, and end results database |
title_short | Marital status is an independent prognostic factor in inflammatory breast cancer patients: an analysis of the surveillance, epidemiology, and end results database |
title_sort | marital status is an independent prognostic factor in inflammatory breast cancer patients: an analysis of the surveillance, epidemiology, and end results database |
topic | Clinical Trial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797700/ https://www.ncbi.nlm.nih.gov/pubmed/31414242 http://dx.doi.org/10.1007/s10549-019-05385-8 |
work_keys_str_mv | AT liuyanling maritalstatusisanindependentprognosticfactorininflammatorybreastcancerpatientsananalysisofthesurveillanceepidemiologyandendresultsdatabase AT wangdunwei maritalstatusisanindependentprognosticfactorininflammatorybreastcancerpatientsananalysisofthesurveillanceepidemiologyandendresultsdatabase AT yangzhuchun maritalstatusisanindependentprognosticfactorininflammatorybreastcancerpatientsananalysisofthesurveillanceepidemiologyandendresultsdatabase AT marui maritalstatusisanindependentprognosticfactorininflammatorybreastcancerpatientsananalysisofthesurveillanceepidemiologyandendresultsdatabase AT lizhong maritalstatusisanindependentprognosticfactorininflammatorybreastcancerpatientsananalysisofthesurveillanceepidemiologyandendresultsdatabase AT suowei maritalstatusisanindependentprognosticfactorininflammatorybreastcancerpatientsananalysisofthesurveillanceepidemiologyandendresultsdatabase AT zhaozhuang maritalstatusisanindependentprognosticfactorininflammatorybreastcancerpatientsananalysisofthesurveillanceepidemiologyandendresultsdatabase AT lizhiwen maritalstatusisanindependentprognosticfactorininflammatorybreastcancerpatientsananalysisofthesurveillanceepidemiologyandendresultsdatabase |