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De novo metastatic breast cancer: Subgroup analysis of molecular subtypes and prognosis

The purpose of the present study was to analyze the clinical and pathological characteristics, treatment, and prognosis of de novo metastatic breast cancer (DnMBC). Information regarding 1,890 patients treated for advanced breast cancer at the Tianjin Medical University Cancer Hospital between Janua...

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Autores principales: Zhang, Li, Li, Zhijun, Zhang, Jie, Wu, Yansheng, Zhu, Yuying, Tong, Zhongsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068499/
https://www.ncbi.nlm.nih.gov/pubmed/32218843
http://dx.doi.org/10.3892/ol.2020.11359
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author Zhang, Li
Li, Zhijun
Zhang, Jie
Wu, Yansheng
Zhu, Yuying
Tong, Zhongsheng
author_facet Zhang, Li
Li, Zhijun
Zhang, Jie
Wu, Yansheng
Zhu, Yuying
Tong, Zhongsheng
author_sort Zhang, Li
collection PubMed
description The purpose of the present study was to analyze the clinical and pathological characteristics, treatment, and prognosis of de novo metastatic breast cancer (DnMBC). Information regarding 1,890 patients treated for advanced breast cancer at the Tianjin Medical University Cancer Hospital between January 2008 to December 2017 was collected. Clinicopathological characteristics, treatments and outcomes of these patients were compared using the chi-square test, log-rank test, and Cox regression analysis. A total of 171 patients were diagnosed with DnMBC. The median age at diagnosis was 53 years (range, 23–77). The percentage of T4 staging was higher (37.4%), 69.6% of patients were estrogen receptor (ER) positive, 59.1% were progesterone receptor positive, 29.8% had positive human epidermal growth factor receptor 2 (HER2) status, 68.4% had Ki-67 ≥20%, 55% had oligometastasis at the initial diagnosis, ~87.7% were treated with chemotherapy initially and 24% received palliative surgery for the primary tumor. After a median follow-up time of 26 months, the median progression-free survival (PFS) and overall survival (OS) among patients with DnMBC were 11 (8.7–13.3) months and 34 (27.9–40.1) months, respectively. In the multivariable model, ER status and sites of first metastasis (oligometastasis or polymetastasis) were identified to be independent predictors of PFS (P<0.05); ER status, primary tumor stage, and surgical treatment of primary tumors were identified to be independent predictors of OS (P<0.05). In conclusion, the clinicopathological characteristics of DnMBC are greater invasiveness and a higher risk of progression. Palliative surgical treatment may improve the prognosis of HR+/HER2-patients with oligometastasis. Therefore, individualized treatment as required is particularly important.
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spelling pubmed-70684992020-03-26 De novo metastatic breast cancer: Subgroup analysis of molecular subtypes and prognosis Zhang, Li Li, Zhijun Zhang, Jie Wu, Yansheng Zhu, Yuying Tong, Zhongsheng Oncol Lett Articles The purpose of the present study was to analyze the clinical and pathological characteristics, treatment, and prognosis of de novo metastatic breast cancer (DnMBC). Information regarding 1,890 patients treated for advanced breast cancer at the Tianjin Medical University Cancer Hospital between January 2008 to December 2017 was collected. Clinicopathological characteristics, treatments and outcomes of these patients were compared using the chi-square test, log-rank test, and Cox regression analysis. A total of 171 patients were diagnosed with DnMBC. The median age at diagnosis was 53 years (range, 23–77). The percentage of T4 staging was higher (37.4%), 69.6% of patients were estrogen receptor (ER) positive, 59.1% were progesterone receptor positive, 29.8% had positive human epidermal growth factor receptor 2 (HER2) status, 68.4% had Ki-67 ≥20%, 55% had oligometastasis at the initial diagnosis, ~87.7% were treated with chemotherapy initially and 24% received palliative surgery for the primary tumor. After a median follow-up time of 26 months, the median progression-free survival (PFS) and overall survival (OS) among patients with DnMBC were 11 (8.7–13.3) months and 34 (27.9–40.1) months, respectively. In the multivariable model, ER status and sites of first metastasis (oligometastasis or polymetastasis) were identified to be independent predictors of PFS (P<0.05); ER status, primary tumor stage, and surgical treatment of primary tumors were identified to be independent predictors of OS (P<0.05). In conclusion, the clinicopathological characteristics of DnMBC are greater invasiveness and a higher risk of progression. Palliative surgical treatment may improve the prognosis of HR+/HER2-patients with oligometastasis. Therefore, individualized treatment as required is particularly important. D.A. Spandidos 2020-04 2020-01-30 /pmc/articles/PMC7068499/ /pubmed/32218843 http://dx.doi.org/10.3892/ol.2020.11359 Text en Copyright: © Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Zhang, Li
Li, Zhijun
Zhang, Jie
Wu, Yansheng
Zhu, Yuying
Tong, Zhongsheng
De novo metastatic breast cancer: Subgroup analysis of molecular subtypes and prognosis
title De novo metastatic breast cancer: Subgroup analysis of molecular subtypes and prognosis
title_full De novo metastatic breast cancer: Subgroup analysis of molecular subtypes and prognosis
title_fullStr De novo metastatic breast cancer: Subgroup analysis of molecular subtypes and prognosis
title_full_unstemmed De novo metastatic breast cancer: Subgroup analysis of molecular subtypes and prognosis
title_short De novo metastatic breast cancer: Subgroup analysis of molecular subtypes and prognosis
title_sort de novo metastatic breast cancer: subgroup analysis of molecular subtypes and prognosis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068499/
https://www.ncbi.nlm.nih.gov/pubmed/32218843
http://dx.doi.org/10.3892/ol.2020.11359
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