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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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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 |
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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 |
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