Cargando…

Survival predictors of metastatic angiosarcomas: a surveillance, epidemiology, and end results program population-based retrospective study

BACKGROUND: Angiosarcomas (AS) have poor prognosis and often metastasize to distant sites. The potential predictors of metastatic angiosarcomas (MAS) have not been extensively investigated. The main objective of this study was to identify survival predictors of MAS. METHODS: Surveillance, Epidemiolo...

Descripción completa

Detalles Bibliográficos
Autores principales: Ren, Shihong, Wang, Yucheng, Wang, Zhan, Shao, Jinxiang, Ye, Zhaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437028/
https://www.ncbi.nlm.nih.gov/pubmed/32811474
http://dx.doi.org/10.1186/s12885-020-07300-7
_version_ 1783572580611915776
author Ren, Shihong
Wang, Yucheng
Wang, Zhan
Shao, Jinxiang
Ye, Zhaoming
author_facet Ren, Shihong
Wang, Yucheng
Wang, Zhan
Shao, Jinxiang
Ye, Zhaoming
author_sort Ren, Shihong
collection PubMed
description BACKGROUND: Angiosarcomas (AS) have poor prognosis and often metastasize to distant sites. The potential predictors of metastatic angiosarcomas (MAS) have not been extensively investigated. The main objective of this study was to identify survival predictors of MAS. METHODS: Surveillance, Epidemiology, and End Results (SEER) datasets were used to identify patients with MAS from 2010 to 2016. Risk predictors were determined with the aid of Kaplan-Meier and Cox regression model analyses. RESULTS: A total of 284 MAS patients met the study entry criteria. Among these, 121 patients (42.6%) were diagnosed with metastasis in bone, 26 in brain (9.2%), 86 in liver (30.3%) and 171 in lung (60.2%). Overall, 96 patients (33.8%) had two or more metastatic sites. The 1- and 3-year overall survival (OS) rates were 20.8 and 3.8% while 1- and 3-year cancer-specific survival (CSS) rates were 22.0 and 5.2%, respectively. Cox regression analysis revealed chemotherapy, radiation treatment (RT) and tumor size ≤10 cm as independent favorable predictors of OS. In terms of CSS, tumor grade IV, tumor size > 10 cm and absence of chemotherapy were independent adverse predictors. Surgery did not prolong survival outcomes (both OS and CSS) in the current cohort. CONCLUSION: MAS is associated with extremely poor survival. Chemotherapy, RT, and tumor size are independent predictors of OS. Chemotherapy and tumor size are independent prognostic factors of CSS. Chemotherapy is therefore recommended as the preferred treatment option for MAS patients.
format Online
Article
Text
id pubmed-7437028
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-74370282020-08-20 Survival predictors of metastatic angiosarcomas: a surveillance, epidemiology, and end results program population-based retrospective study Ren, Shihong Wang, Yucheng Wang, Zhan Shao, Jinxiang Ye, Zhaoming BMC Cancer Research Article BACKGROUND: Angiosarcomas (AS) have poor prognosis and often metastasize to distant sites. The potential predictors of metastatic angiosarcomas (MAS) have not been extensively investigated. The main objective of this study was to identify survival predictors of MAS. METHODS: Surveillance, Epidemiology, and End Results (SEER) datasets were used to identify patients with MAS from 2010 to 2016. Risk predictors were determined with the aid of Kaplan-Meier and Cox regression model analyses. RESULTS: A total of 284 MAS patients met the study entry criteria. Among these, 121 patients (42.6%) were diagnosed with metastasis in bone, 26 in brain (9.2%), 86 in liver (30.3%) and 171 in lung (60.2%). Overall, 96 patients (33.8%) had two or more metastatic sites. The 1- and 3-year overall survival (OS) rates were 20.8 and 3.8% while 1- and 3-year cancer-specific survival (CSS) rates were 22.0 and 5.2%, respectively. Cox regression analysis revealed chemotherapy, radiation treatment (RT) and tumor size ≤10 cm as independent favorable predictors of OS. In terms of CSS, tumor grade IV, tumor size > 10 cm and absence of chemotherapy were independent adverse predictors. Surgery did not prolong survival outcomes (both OS and CSS) in the current cohort. CONCLUSION: MAS is associated with extremely poor survival. Chemotherapy, RT, and tumor size are independent predictors of OS. Chemotherapy and tumor size are independent prognostic factors of CSS. Chemotherapy is therefore recommended as the preferred treatment option for MAS patients. BioMed Central 2020-08-18 /pmc/articles/PMC7437028/ /pubmed/32811474 http://dx.doi.org/10.1186/s12885-020-07300-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Ren, Shihong
Wang, Yucheng
Wang, Zhan
Shao, Jinxiang
Ye, Zhaoming
Survival predictors of metastatic angiosarcomas: a surveillance, epidemiology, and end results program population-based retrospective study
title Survival predictors of metastatic angiosarcomas: a surveillance, epidemiology, and end results program population-based retrospective study
title_full Survival predictors of metastatic angiosarcomas: a surveillance, epidemiology, and end results program population-based retrospective study
title_fullStr Survival predictors of metastatic angiosarcomas: a surveillance, epidemiology, and end results program population-based retrospective study
title_full_unstemmed Survival predictors of metastatic angiosarcomas: a surveillance, epidemiology, and end results program population-based retrospective study
title_short Survival predictors of metastatic angiosarcomas: a surveillance, epidemiology, and end results program population-based retrospective study
title_sort survival predictors of metastatic angiosarcomas: a surveillance, epidemiology, and end results program population-based retrospective study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437028/
https://www.ncbi.nlm.nih.gov/pubmed/32811474
http://dx.doi.org/10.1186/s12885-020-07300-7
work_keys_str_mv AT renshihong survivalpredictorsofmetastaticangiosarcomasasurveillanceepidemiologyandendresultsprogrampopulationbasedretrospectivestudy
AT wangyucheng survivalpredictorsofmetastaticangiosarcomasasurveillanceepidemiologyandendresultsprogrampopulationbasedretrospectivestudy
AT wangzhan survivalpredictorsofmetastaticangiosarcomasasurveillanceepidemiologyandendresultsprogrampopulationbasedretrospectivestudy
AT shaojinxiang survivalpredictorsofmetastaticangiosarcomasasurveillanceepidemiologyandendresultsprogrampopulationbasedretrospectivestudy
AT yezhaoming survivalpredictorsofmetastaticangiosarcomasasurveillanceepidemiologyandendresultsprogrampopulationbasedretrospectivestudy