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The effects of a prior malignancy on the survival of patients with ovarian cancer: a population-based study

Background: With the improvement in the prognostic outcomes of multiple malignancies, the population of cancer survivors is growing rapidly and is at higher risk of developing secondary ovarian cancer. However, the prevalence and clinical outcomes of prior cancer among newly diagnosed ovarian cancer...

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Autores principales: Bian, Xiaoyuan, Xia, Jiafeng, Wang, Kaicen, Wang, Qiangqiang, Yang, Liya, Wu, Wenrui, Li, Lanjuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532502/
https://www.ncbi.nlm.nih.gov/pubmed/33033501
http://dx.doi.org/10.7150/jca.46584
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author Bian, Xiaoyuan
Xia, Jiafeng
Wang, Kaicen
Wang, Qiangqiang
Yang, Liya
Wu, Wenrui
Li, Lanjuan
author_facet Bian, Xiaoyuan
Xia, Jiafeng
Wang, Kaicen
Wang, Qiangqiang
Yang, Liya
Wu, Wenrui
Li, Lanjuan
author_sort Bian, Xiaoyuan
collection PubMed
description Background: With the improvement in the prognostic outcomes of multiple malignancies, the population of cancer survivors is growing rapidly and is at higher risk of developing secondary ovarian cancer. However, the prevalence and clinical outcomes of prior cancer among newly diagnosed ovarian cancer patients remain unknown. Methods: Patients diagnosed with ovarian cancer between 2004 and 2015 were identified using the Surveillance, Epidemiology, and End Results database. Patients were divided into two groups based on whether there was a prior malignancy. A multivariate Cox regression analysis was used to calculate all-cause and ovarian-specific survival. Furthermore, we conducted subgroup survival analyses of patients stratified by previous cancer site to explore the associations between prior cancer site and survival outcomes. Results: A total of 52,182 patients with primary ovarian cancer were identified, and 3.6% (n=1,860) had a documented prior malignancy. In multivariate analyses, patients with prior malignancies had a worse all-cause and ovarian cancer-specific prognosis than those without. In subset analyses, patients with a history of thyroid cancer had a better all-cause and ovarian cancer-specific prognosis, and patients with prior colorectal, urinary system, skin, lung, haematologic and stomach cancers were at risk of decreased survival compared to that of patients without a prior cancer. Conclusions: Prior malignancy has an adverse impact on the survival of patients with ovarian cancer, and the impact on prognostic outcomes varies by different prior cancer sites. The inconsistent survival effects of previous malignancies should be considered in clinical trial design and recruitment.
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spelling pubmed-75325022020-10-07 The effects of a prior malignancy on the survival of patients with ovarian cancer: a population-based study Bian, Xiaoyuan Xia, Jiafeng Wang, Kaicen Wang, Qiangqiang Yang, Liya Wu, Wenrui Li, Lanjuan J Cancer Research Paper Background: With the improvement in the prognostic outcomes of multiple malignancies, the population of cancer survivors is growing rapidly and is at higher risk of developing secondary ovarian cancer. However, the prevalence and clinical outcomes of prior cancer among newly diagnosed ovarian cancer patients remain unknown. Methods: Patients diagnosed with ovarian cancer between 2004 and 2015 were identified using the Surveillance, Epidemiology, and End Results database. Patients were divided into two groups based on whether there was a prior malignancy. A multivariate Cox regression analysis was used to calculate all-cause and ovarian-specific survival. Furthermore, we conducted subgroup survival analyses of patients stratified by previous cancer site to explore the associations between prior cancer site and survival outcomes. Results: A total of 52,182 patients with primary ovarian cancer were identified, and 3.6% (n=1,860) had a documented prior malignancy. In multivariate analyses, patients with prior malignancies had a worse all-cause and ovarian cancer-specific prognosis than those without. In subset analyses, patients with a history of thyroid cancer had a better all-cause and ovarian cancer-specific prognosis, and patients with prior colorectal, urinary system, skin, lung, haematologic and stomach cancers were at risk of decreased survival compared to that of patients without a prior cancer. Conclusions: Prior malignancy has an adverse impact on the survival of patients with ovarian cancer, and the impact on prognostic outcomes varies by different prior cancer sites. The inconsistent survival effects of previous malignancies should be considered in clinical trial design and recruitment. Ivyspring International Publisher 2020-08-25 /pmc/articles/PMC7532502/ /pubmed/33033501 http://dx.doi.org/10.7150/jca.46584 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Bian, Xiaoyuan
Xia, Jiafeng
Wang, Kaicen
Wang, Qiangqiang
Yang, Liya
Wu, Wenrui
Li, Lanjuan
The effects of a prior malignancy on the survival of patients with ovarian cancer: a population-based study
title The effects of a prior malignancy on the survival of patients with ovarian cancer: a population-based study
title_full The effects of a prior malignancy on the survival of patients with ovarian cancer: a population-based study
title_fullStr The effects of a prior malignancy on the survival of patients with ovarian cancer: a population-based study
title_full_unstemmed The effects of a prior malignancy on the survival of patients with ovarian cancer: a population-based study
title_short The effects of a prior malignancy on the survival of patients with ovarian cancer: a population-based study
title_sort effects of a prior malignancy on the survival of patients with ovarian cancer: a population-based study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532502/
https://www.ncbi.nlm.nih.gov/pubmed/33033501
http://dx.doi.org/10.7150/jca.46584
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