Cargando…

Effects of marital status on breast cancer survival by age, race, and hormone receptor status: A population‐based Study

INTRODUCTION: It remains unclear whether marital status could affect the breast cancer‐caused special survival (BCSS) of patients with breast cancer. Therefore, we sought to explore the influence of demographic and pathological factors on prognosis of patients with breast cancer. MATERIALS AND METHO...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhai, Zhen, Zhang, Fang, Zheng, Yi, Zhou, Linghui, Tian, Tian, Lin, Shuai, Deng, Yujiao, Xu, Peng, Hao, Qian, Li, Na, Yang, Pengtao, Li, Hongtao, Dai, Zhijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712463/
https://www.ncbi.nlm.nih.gov/pubmed/31267686
http://dx.doi.org/10.1002/cam4.2352
_version_ 1783446685949624320
author Zhai, Zhen
Zhang, Fang
Zheng, Yi
Zhou, Linghui
Tian, Tian
Lin, Shuai
Deng, Yujiao
Xu, Peng
Hao, Qian
Li, Na
Yang, Pengtao
Li, Hongtao
Dai, Zhijun
author_facet Zhai, Zhen
Zhang, Fang
Zheng, Yi
Zhou, Linghui
Tian, Tian
Lin, Shuai
Deng, Yujiao
Xu, Peng
Hao, Qian
Li, Na
Yang, Pengtao
Li, Hongtao
Dai, Zhijun
author_sort Zhai, Zhen
collection PubMed
description INTRODUCTION: It remains unclear whether marital status could affect the breast cancer‐caused special survival (BCSS) of patients with breast cancer. Therefore, we sought to explore the influence of demographic and pathological factors on prognosis of patients with breast cancer. MATERIALS AND METHODS: We selected patients meeting the eligibility criteria from the Surveillance, Epidemiology, and End Results (SEER) cancer registry program. We assessed the effect of marital status on overall survival (OS) and BCSS using Kaplan‐Meier curve and multivariate Cox proportional hazards regression. RESULTS: Compared with divorced/separated/widowed (DSW) patients, the married (AHR 0.7483, 95% CI: 0.729‐0.7682, P < 0.001) and single patients had better BCSS (AHR 0.9096, 95% CI: 0.8796‐0.9406, P < 0.001). Married patients kept better prognosis among all age subgroups, while the better BCSS of single patients occurred only in groups older than 35 years. As for race and hormone receptor status (HRs), the better BCSS of single patients was only observed in white race (AHR 0.881, 95% CI: 0.8457‐0.9177, P < 0.001) and patients with ER+/PR + status (AHR 0.8844, 95% CI: 0.8393‐0.932, P < 0.001). CONCLUSION: Our findings demonstrated that married and single patients with breast cancer had better prognosis than their DSW counterparts. Age, race, and HRs could affect the correlation between marital status and BCSS.
format Online
Article
Text
id pubmed-6712463
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-67124632019-09-04 Effects of marital status on breast cancer survival by age, race, and hormone receptor status: A population‐based Study Zhai, Zhen Zhang, Fang Zheng, Yi Zhou, Linghui Tian, Tian Lin, Shuai Deng, Yujiao Xu, Peng Hao, Qian Li, Na Yang, Pengtao Li, Hongtao Dai, Zhijun Cancer Med Cancer Prevention INTRODUCTION: It remains unclear whether marital status could affect the breast cancer‐caused special survival (BCSS) of patients with breast cancer. Therefore, we sought to explore the influence of demographic and pathological factors on prognosis of patients with breast cancer. MATERIALS AND METHODS: We selected patients meeting the eligibility criteria from the Surveillance, Epidemiology, and End Results (SEER) cancer registry program. We assessed the effect of marital status on overall survival (OS) and BCSS using Kaplan‐Meier curve and multivariate Cox proportional hazards regression. RESULTS: Compared with divorced/separated/widowed (DSW) patients, the married (AHR 0.7483, 95% CI: 0.729‐0.7682, P < 0.001) and single patients had better BCSS (AHR 0.9096, 95% CI: 0.8796‐0.9406, P < 0.001). Married patients kept better prognosis among all age subgroups, while the better BCSS of single patients occurred only in groups older than 35 years. As for race and hormone receptor status (HRs), the better BCSS of single patients was only observed in white race (AHR 0.881, 95% CI: 0.8457‐0.9177, P < 0.001) and patients with ER+/PR + status (AHR 0.8844, 95% CI: 0.8393‐0.932, P < 0.001). CONCLUSION: Our findings demonstrated that married and single patients with breast cancer had better prognosis than their DSW counterparts. Age, race, and HRs could affect the correlation between marital status and BCSS. John Wiley and Sons Inc. 2019-07-02 /pmc/articles/PMC6712463/ /pubmed/31267686 http://dx.doi.org/10.1002/cam4.2352 Text en © 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cancer Prevention
Zhai, Zhen
Zhang, Fang
Zheng, Yi
Zhou, Linghui
Tian, Tian
Lin, Shuai
Deng, Yujiao
Xu, Peng
Hao, Qian
Li, Na
Yang, Pengtao
Li, Hongtao
Dai, Zhijun
Effects of marital status on breast cancer survival by age, race, and hormone receptor status: A population‐based Study
title Effects of marital status on breast cancer survival by age, race, and hormone receptor status: A population‐based Study
title_full Effects of marital status on breast cancer survival by age, race, and hormone receptor status: A population‐based Study
title_fullStr Effects of marital status on breast cancer survival by age, race, and hormone receptor status: A population‐based Study
title_full_unstemmed Effects of marital status on breast cancer survival by age, race, and hormone receptor status: A population‐based Study
title_short Effects of marital status on breast cancer survival by age, race, and hormone receptor status: A population‐based Study
title_sort effects of marital status on breast cancer survival by age, race, and hormone receptor status: a population‐based study
topic Cancer Prevention
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712463/
https://www.ncbi.nlm.nih.gov/pubmed/31267686
http://dx.doi.org/10.1002/cam4.2352
work_keys_str_mv AT zhaizhen effectsofmaritalstatusonbreastcancersurvivalbyageraceandhormonereceptorstatusapopulationbasedstudy
AT zhangfang effectsofmaritalstatusonbreastcancersurvivalbyageraceandhormonereceptorstatusapopulationbasedstudy
AT zhengyi effectsofmaritalstatusonbreastcancersurvivalbyageraceandhormonereceptorstatusapopulationbasedstudy
AT zhoulinghui effectsofmaritalstatusonbreastcancersurvivalbyageraceandhormonereceptorstatusapopulationbasedstudy
AT tiantian effectsofmaritalstatusonbreastcancersurvivalbyageraceandhormonereceptorstatusapopulationbasedstudy
AT linshuai effectsofmaritalstatusonbreastcancersurvivalbyageraceandhormonereceptorstatusapopulationbasedstudy
AT dengyujiao effectsofmaritalstatusonbreastcancersurvivalbyageraceandhormonereceptorstatusapopulationbasedstudy
AT xupeng effectsofmaritalstatusonbreastcancersurvivalbyageraceandhormonereceptorstatusapopulationbasedstudy
AT haoqian effectsofmaritalstatusonbreastcancersurvivalbyageraceandhormonereceptorstatusapopulationbasedstudy
AT lina effectsofmaritalstatusonbreastcancersurvivalbyageraceandhormonereceptorstatusapopulationbasedstudy
AT yangpengtao effectsofmaritalstatusonbreastcancersurvivalbyageraceandhormonereceptorstatusapopulationbasedstudy
AT lihongtao effectsofmaritalstatusonbreastcancersurvivalbyageraceandhormonereceptorstatusapopulationbasedstudy
AT daizhijun effectsofmaritalstatusonbreastcancersurvivalbyageraceandhormonereceptorstatusapopulationbasedstudy