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Survival Outcomes of Patients with Primary Breast Cancer Following Primary Ovarian Cancer
BACKGROUND: Patients with primary breast cancer following primary ovarian cancer do not comprise a large clinical entity, and reports of the survival outcomes of this cohort are rare. The purpose of this retrospective population-based research was to investigate the survival outcomes of patients wit...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545065/ https://www.ncbi.nlm.nih.gov/pubmed/31125329 http://dx.doi.org/10.12659/MSM.914163 |
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author | Zhang, Wei Zhang, Wenque Lin, Zhihong Wang, Fang Li, Miaojie Zhu, Libo Yu, Yixian Gao, Yutao |
author_facet | Zhang, Wei Zhang, Wenque Lin, Zhihong Wang, Fang Li, Miaojie Zhu, Libo Yu, Yixian Gao, Yutao |
author_sort | Zhang, Wei |
collection | PubMed |
description | BACKGROUND: Patients with primary breast cancer following primary ovarian cancer do not comprise a large clinical entity, and reports of the survival outcomes of this cohort are rare. The purpose of this retrospective population-based research was to investigate the survival outcomes of patients with primary breast cancer after primary ovarian cancer. MATERIAL/METHODS: A cohort of patients diagnosed with primary breast cancer following primary ovarian cancer between 1973 and 2014 was drawn from the National Cancer Institute’s Surveillance Epidemiology and End Results (SEER) database. Cox proportional hazards survival regression analysis and Kaplan-Meier were applied to calculate overall survival (OS), cancer-specific survival (CSS), and independent predictors of CSS. RESULTS: A total of 1455 patients with primary breast cancer following primary ovarian cancer were identified. The 5-year and 10-year OS rates for the entire cohort were 81.7% and 67.4%, respectively. The 5-year and 10-year CSS rates were 84.2% and 74.3% for ovarian cancer, and 76.0% and 67.8% for breast cancer, respectively. Multivariate analysis revealed that independent predictors of ovarian cancer CSS include age, cancer stage, diagnosis time, and histological subtype. CONCLUSIONS: Patients diagnosed with breast cancer following ovarian cancer have better survival rates. Patients age, ovarian cancer stage, ovarian cancer histological type, and time of diagnose affect the survival rate. |
format | Online Article Text |
id | pubmed-6545065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | International Scientific Literature, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65450652019-06-14 Survival Outcomes of Patients with Primary Breast Cancer Following Primary Ovarian Cancer Zhang, Wei Zhang, Wenque Lin, Zhihong Wang, Fang Li, Miaojie Zhu, Libo Yu, Yixian Gao, Yutao Med Sci Monit Clinical Research BACKGROUND: Patients with primary breast cancer following primary ovarian cancer do not comprise a large clinical entity, and reports of the survival outcomes of this cohort are rare. The purpose of this retrospective population-based research was to investigate the survival outcomes of patients with primary breast cancer after primary ovarian cancer. MATERIAL/METHODS: A cohort of patients diagnosed with primary breast cancer following primary ovarian cancer between 1973 and 2014 was drawn from the National Cancer Institute’s Surveillance Epidemiology and End Results (SEER) database. Cox proportional hazards survival regression analysis and Kaplan-Meier were applied to calculate overall survival (OS), cancer-specific survival (CSS), and independent predictors of CSS. RESULTS: A total of 1455 patients with primary breast cancer following primary ovarian cancer were identified. The 5-year and 10-year OS rates for the entire cohort were 81.7% and 67.4%, respectively. The 5-year and 10-year CSS rates were 84.2% and 74.3% for ovarian cancer, and 76.0% and 67.8% for breast cancer, respectively. Multivariate analysis revealed that independent predictors of ovarian cancer CSS include age, cancer stage, diagnosis time, and histological subtype. CONCLUSIONS: Patients diagnosed with breast cancer following ovarian cancer have better survival rates. Patients age, ovarian cancer stage, ovarian cancer histological type, and time of diagnose affect the survival rate. International Scientific Literature, Inc. 2019-05-24 /pmc/articles/PMC6545065/ /pubmed/31125329 http://dx.doi.org/10.12659/MSM.914163 Text en © Med Sci Monit, 2019 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Clinical Research Zhang, Wei Zhang, Wenque Lin, Zhihong Wang, Fang Li, Miaojie Zhu, Libo Yu, Yixian Gao, Yutao Survival Outcomes of Patients with Primary Breast Cancer Following Primary Ovarian Cancer |
title | Survival Outcomes of Patients with Primary Breast Cancer Following Primary Ovarian Cancer |
title_full | Survival Outcomes of Patients with Primary Breast Cancer Following Primary Ovarian Cancer |
title_fullStr | Survival Outcomes of Patients with Primary Breast Cancer Following Primary Ovarian Cancer |
title_full_unstemmed | Survival Outcomes of Patients with Primary Breast Cancer Following Primary Ovarian Cancer |
title_short | Survival Outcomes of Patients with Primary Breast Cancer Following Primary Ovarian Cancer |
title_sort | survival outcomes of patients with primary breast cancer following primary ovarian cancer |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545065/ https://www.ncbi.nlm.nih.gov/pubmed/31125329 http://dx.doi.org/10.12659/MSM.914163 |
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