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      Prognostic factors and survival outcomes according to tumor subtype in patients with breast cancer lung metastases

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          Abstract

          Background

          Reports on the incidence and prognoses of lung metastases when diagnosing breast cancer patients with different subtypes are limited. Our study investigated the effect of molecular sub-typing stratification on the prognoses of lung metastatic breast caner patients.

          Methods

          Patients with breast cancer and lung metastases were identified from Surveillance, Epidemiology and End Results population-based data between 2010 and 2015. Univariate and multivariate Cox regression analyses were performed to identify risk factors and prognoses, overall survival (OS) and breast cancer-specific survival for patients with breast cancer lung metastases.

          Results

          We identified 6,516 patients with lung metastatic breast cancer, representing 1.7% of the entire cohort and 30.4% of the subset with metastatic disease. This included 2,940 hormone receptor (HR)+/HER2− patients, 852 HR+/HER2+ patients, 547 HR−/HER2+ patients and 983 triple-negative patients. The median OS for all lung metastatic patients was 13 months. Multivariate analysis revealed that those lung metastatic breast cancer patients of older age (>80), black race, with poorly differentiated tumors, carcinoma histology, triple-negative subtype, more metastatic sites and no surgery, and no chemotherapy showed significantly poor survival, both overall and breast cancer-specific.

          Conclusions

          Our findings show that molecular sub-type and more metastatic sites might have significant influence on the incidence and prognosis of breast cancer lung metastases. We also identified several prognostic factors that could guide therapy selection in the treatment of lung metastatic patients.

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          Most cited references21

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          Breast cancer as a systemic disease: a view of metastasis.

          Breast cancer is now the most frequently diagnosed cancer and leading cause of cancer death in women worldwide. Strategies targeting the primary tumour have markedly improved, but systemic treatments to prevent metastasis are less effective; metastatic disease remains the underlying cause of death in the majority of patients with breast cancer who succumb to their disease. The long latency period between initial treatment and eventual recurrence in some patients suggests that a tumour may both alter and respond to the host systemic environment to facilitate and sustain disease progression. Results from studies in animal models suggest that specific subtypes of breast cancer may direct metastasis through recruitment and activation of haematopoietic cells. In this review, we focus on data implicating breast cancer as a systemic disease. © 2013 The Association for the Publication of the Journal of Internal Medicine.
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            Optimal strategies for the treatment of metastatic triple-negative breast cancer with currently approved agents.

            Triple-negative breast cancer (TNBC) is an aggressive histological subtype with limited treatment options and very poor prognosis following progression after standard chemotherapeutic regimens. Resistance to current standard therapies such as anthracyclines or taxanes limits the available options for previously treated patients with metastatic TNBC to a small number of non-cross-resistant regimens, and there is currently no preferred standard chemotherapy. Duration of response is usually short, with rapid relapse very common and median survival of just 13 months. The newly approved agent eribulin has shown a survival benefit in patients who had previously been treated with anthracycline- or taxane-containing regimens, including in patients with TNBC. Platinum-based regimens are an emerging option for patients with BRCA1 mutation, and newer targeted agents such as anti-angiogenic treatment with bevacizumab or anti-epidermal growth factor receptor treatment with cetuximab, have shown some benefit in combination therapy. However, there remains an urgent unmet need for improved targeted agents for this patient population. Improved treatment may be facilitated by biomarker-led understanding of subgroup molecular targets, which may predict benefit from currently approved agents, as well as newer targeted drugs.
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              Breast cancer metastasis.

              Breast cancer metastasis accounts for the majority of deaths from breast cancer. Detection of breast cancer metastasis at the earliest stage is important for the management and prediction of breast cancer progression. Emerging techniques using the analysis of circulating tumor cells show promising results in predicting and identifying the early stages of breast cancer metastasis in patients. Additionally, a deeper understanding of the metastatic cascade in breast cancer will be critical for developing therapeutic interventions to combat breast cancer metastasis. In this review, the current and novel methods for detection of breast cancer metastasis, as well as the mechanisms involved in metastasis and the treatment of breast cancer metastasis, are discussed.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                17 December 2019
                2019
                : 7
                : e8298
                Affiliations
                [1 ]Department of Pharmacy, The First Affiliated Hospital of Xi’an Jiaotong University , Xi’an, China
                [2 ]Clinical Research Center, The First Affiliated Hospital of Xi’an Jiaotong University , Xi’an, China
                [3 ]School of Public Health, Xi’an Jiaotong University Health Science Center , Xi’an, Shaanxi, China
                Author information
                http://orcid.org/0000-0002-2237-8771
                Article
                8298
                10.7717/peerj.8298
                6924336
                56f3a193-6e03-4200-afc1-a133d0be63f8
                © 2019 Chen et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 6 September 2019
                : 26 November 2019
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 81502616
                Funded by: National Social Science Foundation of China
                Award ID: 16BGL183
                Funded by: Natural Science Foundation of Shaanxi Province
                Award ID: 2017JM8013
                This work was supported by the National Natural Science Foundation of China (No. 81502616), the National Social Science Foundation of China (No. 16BGL183), and the Natural Science Foundation of Shaanxi Province (No. 2017JM8013). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Bioinformatics
                Epidemiology
                Oncology
                Respiratory Medicine
                Women’s Health

                breast cancer,lung metastases,molecular subtype,prognosis

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