Literature DB >> 30837102

Metastatic pattern discriminates survival benefit of primary surgery for de novo stage IV breast cancer: A real-world observational study.

Kang Wang1, Yang Shi2, Zhu-Yue Li3, Ye-Lei Xiao4, Jie Li4, Xiang Zhang5, Hong-Yuan Li6.   

Abstract

INTRODUCTION: Role of surgery in the management of de novo stage IV breast cancer (BC) remains controversial. We aimed to determine the survival benefit of primary surgery on the basis of metastatic pattern.
MATERIALS AND METHODS: A retrospective cohort study based on the SEER database was conducted to identify patients with de novo stage IV BC diagnosed between 2010 and 2015. Patients were divided into surgery and non-surgery group, and propensity score weighting was used to balance clinicopathologic factors between groups.
RESULTS: Of 8142 de novo stage IV BC patients, 1891 (23%) cases were managed with surgery and 6251 (77%) cases were managed without surgery. There were 3821 all-cause deaths and 3291 BC specific deaths over a median follow-up of 22 months. The weighted 3-year overall survival (OS) for the surgery group was 54.5%, compared to 47.7% (P < 0.001) for the non-surgery group. The magnitude of the survival difference with surgery was significantly correlated with metastatic patterns (Pinteraction<0.05). Significant survival improvements in surgery group compared with non-surgery group were observed in patients with bone-only metastasis (adjusted HR = 0.83, P < 0.05) or multiple metastases with bone involved (adjusted HR = 0.76, P < 0.05), whereas survival inferiority of surgery was found for patients with multiple visceral organs-only metastases (adjusted HR = 2.08, P < 0.05).
CONCLUSION: The survival benefit offered by surgery for de novo stage IV BC varies by metastatic patterns. Decisions for primary surgery of de novo stage IV BC patients should be tailored according to metastatic pattern.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  Metastatic pattern; Primary surgery; de novo stage IV breast cancer

Mesh:

Year:  2019        PMID: 30837102     DOI: 10.1016/j.ejso.2019.02.013

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  10 in total

1.  A Risk Stratification Model for Predicting Overall Survival and Surgical Benefit in Triple-Negative Breast Cancer Patients With de novo Distant Metastasis.

Authors:  Zheng Wang; Hui Wang; Xi Sun; Yan Fang; Shuang-Shuang Lu; Shu-Ning Ding; Xiao-Song Chen; Kun-Wei Shen
Journal:  Front Oncol       Date:  2020-01-24       Impact factor: 6.244

2.  Primary tumor surgery improves survival of cancer patients with synchronous solitary bone metastasis: a large population-based study.

Authors:  Wei Wu; Honghua Zhang; Zhong Fang; Feng Li
Journal:  Ann Transl Med       Date:  2021-01

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Journal:  Front Oncol       Date:  2020-12-02       Impact factor: 6.244

4.  Metastatic site discriminates survival benefit of primary tumor surgery for differentiated thyroid cancer with distant metastases: A real-world observational study.

Authors:  Wu Ding; Guodong Ruan; Jianming Zhu; Chuanjian Tu; Zhian Li
Journal:  Medicine (Baltimore)       Date:  2020-11-25       Impact factor: 1.889

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Authors:  Shipei Wang; Sichao Chen; Yihui Huang; Di Hu; Wen Zeng; Ling Zhou; Wei Zhou; Danyang Chen; Haifeng Feng; Wei Wei; Chao Zhang; Zeming Liu; Min Wang; Liang Guo
Journal:  Medicine (Baltimore)       Date:  2021-04-02       Impact factor: 1.817

6.  Breast Cancer Subtypes and Mortality of Breast Cancer Patients With Brain Metastasis at Diagnosis: A Population-Based Study.

Authors:  Dong-Jie He; De-Quan Yu; Qi-Ming Wang; Zong-Yan Yu; Yu-Hong Qi; Qiu-Ju Shao; Hao Chang
Journal:  Inquiry       Date:  2021 Jan-Dec       Impact factor: 1.730

7.  Clinical outcomes and a nomogram for de novo metastatic breast cancer with lung metastasis: a population-based study.

Authors:  Weiming Liu; Yiqun Han
Journal:  Sci Rep       Date:  2022-03-04       Impact factor: 4.379

8.  Diagnostic and Prognostic Nomograms for Lung Metastasis in Triple-Negative Breast Cancer.

Authors:  Jianguo Wang; Hongjun Zhao; Lifen Ye; Jingyong Li; Huaixiao Zhang; Chao Zhang; Qishuo Rao; Yurong Cai; Yiping Xu; Youyuan Deng
Journal:  Comput Math Methods Med       Date:  2022-08-11       Impact factor: 2.809

9.  Machine learning predicts the prognosis of breast cancer patients with initial bone metastases.

Authors:  Chaofan Li; Mengjie Liu; Jia Li; Weiwei Wang; Cong Feng; Yifan Cai; Fei Wu; Xixi Zhao; Chong Du; Yinbin Zhang; Yusheng Wang; Shuqun Zhang; Jingkun Qu
Journal:  Front Public Health       Date:  2022-09-26

10.  Early Death Incidence and Prediction in Stage IV Breast Cancer.

Authors:  Yumei Zhao; Guijun Xu; Xinpeng Guo; Wenjuan Ma; Yao Xu; Karl Peltzer; Vladimir P Chekhonin; Vladimir P Baklaushev; Nan Hu; Xin Wang; Zheng Liu; Chao Zhang
Journal:  Med Sci Monit       Date:  2020-08-11
  10 in total

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