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Incidence of metastatic disease and survival among patients with newly diagnosed primary CNS tumors in the United States from 2004-2013
Background: Population-based estimates of the incidence and prognosis of metastatic disease at the initial diagnosis of primary central nervous system (CNS) tumors are currently lacking. Methods: A total of 43,455 patients diagnosed with a primary CNS tumor were enrolled to evaluate metastatic rates...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590036/ https://www.ncbi.nlm.nih.gov/pubmed/31281481 http://dx.doi.org/10.7150/jca.30624 |
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author | Lian, Hao Daniels, Craig Han, Yi-Peng Li, Qi-Feng Zhao, Yang Wang, Bao-Cheng Zhu, Chang-Bin Mao, Wei-Wei Taylor, Michael D. Ma, Jie |
author_facet | Lian, Hao Daniels, Craig Han, Yi-Peng Li, Qi-Feng Zhao, Yang Wang, Bao-Cheng Zhu, Chang-Bin Mao, Wei-Wei Taylor, Michael D. Ma, Jie |
author_sort | Lian, Hao |
collection | PubMed |
description | Background: Population-based estimates of the incidence and prognosis of metastatic disease at the initial diagnosis of primary central nervous system (CNS) tumors are currently lacking. Methods: A total of 43,455 patients diagnosed with a primary CNS tumor were enrolled to evaluate metastatic rates utilizing the data from the Surveillance, Epidemiology, and End Results (SEER) program. We used multivariate logistic regression to analyze the risk factors associated with the presence of metastasis at the first visit of patients with metastatic medulloblastoma (MB), atypical teratoid/rhabdoid tumor (ATRT), glioblastoma multiforme (GBM), or pilocytic astrocytoma (PA). Hazard ratios (HRs) and 95% confidence intervals (CIs) for cancer-specific death (CSD) of patients with these four CNS tumors were analyzed using multivariate Cox regression. Results: In patients with primary CNS embryonal tumors, the metastatic rates of patients with MB and ATRT were 14.51% and 19.25%, respectively. The metastatic rate for MB patients aged 0 to 18 years was 16.69%. In the patients with glioma, the metastatic rates of patients with PA and GBM were 1.55% and 1.39%, respectively. On multivariate logistic regression among patients with glioma, GBM (vs PA; OR, 2.12; 95% CI, 1.37 to 3.30; P=0.001) was associated with greater odds of having metastatic disease at diagnosis. On multivariate logistic regression among patients with GBM, MB, or ATRT, MB (vs GBM; OR, 4.66; 95% CI, 2.81 to 7.72; P<0.001) and ATRT (vs GBM; OR, 5.65; 95% CI, 3.27 to 9.75; P<0.001) were associated with greater odds of having metastatic disease at diagnosis. In the multivariate Cox proportional hazards model for CSD among patients with metastatic GBM or MB at diagnosis, gross total resection/total lobectomy (vs partial resection/partial lobectomy) was not related to a decreased or an increased risk of CSD. In patients with metastatic ATRT, compared to no surgery, gross total resection/total lobectomy or partial resection/partial lobectomy was not associated with a decreased risk of CSD. Conclusions: The findings in this study provide a population-based estimate of the incidence and prognosis of metastatic disease at the initial diagnosis of primary CNS tumors. These survival outcomes are relevant because they will help to prioritize future research directions to improve the treatment strategies of these metastatic CNS tumors. |
format | Online Article Text |
id | pubmed-6590036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-65900362019-07-06 Incidence of metastatic disease and survival among patients with newly diagnosed primary CNS tumors in the United States from 2004-2013 Lian, Hao Daniels, Craig Han, Yi-Peng Li, Qi-Feng Zhao, Yang Wang, Bao-Cheng Zhu, Chang-Bin Mao, Wei-Wei Taylor, Michael D. Ma, Jie J Cancer Research Paper Background: Population-based estimates of the incidence and prognosis of metastatic disease at the initial diagnosis of primary central nervous system (CNS) tumors are currently lacking. Methods: A total of 43,455 patients diagnosed with a primary CNS tumor were enrolled to evaluate metastatic rates utilizing the data from the Surveillance, Epidemiology, and End Results (SEER) program. We used multivariate logistic regression to analyze the risk factors associated with the presence of metastasis at the first visit of patients with metastatic medulloblastoma (MB), atypical teratoid/rhabdoid tumor (ATRT), glioblastoma multiforme (GBM), or pilocytic astrocytoma (PA). Hazard ratios (HRs) and 95% confidence intervals (CIs) for cancer-specific death (CSD) of patients with these four CNS tumors were analyzed using multivariate Cox regression. Results: In patients with primary CNS embryonal tumors, the metastatic rates of patients with MB and ATRT were 14.51% and 19.25%, respectively. The metastatic rate for MB patients aged 0 to 18 years was 16.69%. In the patients with glioma, the metastatic rates of patients with PA and GBM were 1.55% and 1.39%, respectively. On multivariate logistic regression among patients with glioma, GBM (vs PA; OR, 2.12; 95% CI, 1.37 to 3.30; P=0.001) was associated with greater odds of having metastatic disease at diagnosis. On multivariate logistic regression among patients with GBM, MB, or ATRT, MB (vs GBM; OR, 4.66; 95% CI, 2.81 to 7.72; P<0.001) and ATRT (vs GBM; OR, 5.65; 95% CI, 3.27 to 9.75; P<0.001) were associated with greater odds of having metastatic disease at diagnosis. In the multivariate Cox proportional hazards model for CSD among patients with metastatic GBM or MB at diagnosis, gross total resection/total lobectomy (vs partial resection/partial lobectomy) was not related to a decreased or an increased risk of CSD. In patients with metastatic ATRT, compared to no surgery, gross total resection/total lobectomy or partial resection/partial lobectomy was not associated with a decreased risk of CSD. Conclusions: The findings in this study provide a population-based estimate of the incidence and prognosis of metastatic disease at the initial diagnosis of primary CNS tumors. These survival outcomes are relevant because they will help to prioritize future research directions to improve the treatment strategies of these metastatic CNS tumors. Ivyspring International Publisher 2019-06-02 /pmc/articles/PMC6590036/ /pubmed/31281481 http://dx.doi.org/10.7150/jca.30624 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Lian, Hao Daniels, Craig Han, Yi-Peng Li, Qi-Feng Zhao, Yang Wang, Bao-Cheng Zhu, Chang-Bin Mao, Wei-Wei Taylor, Michael D. Ma, Jie Incidence of metastatic disease and survival among patients with newly diagnosed primary CNS tumors in the United States from 2004-2013 |
title | Incidence of metastatic disease and survival among patients with newly diagnosed primary CNS tumors in the United States from 2004-2013 |
title_full | Incidence of metastatic disease and survival among patients with newly diagnosed primary CNS tumors in the United States from 2004-2013 |
title_fullStr | Incidence of metastatic disease and survival among patients with newly diagnosed primary CNS tumors in the United States from 2004-2013 |
title_full_unstemmed | Incidence of metastatic disease and survival among patients with newly diagnosed primary CNS tumors in the United States from 2004-2013 |
title_short | Incidence of metastatic disease and survival among patients with newly diagnosed primary CNS tumors in the United States from 2004-2013 |
title_sort | incidence of metastatic disease and survival among patients with newly diagnosed primary cns tumors in the united states from 2004-2013 |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590036/ https://www.ncbi.nlm.nih.gov/pubmed/31281481 http://dx.doi.org/10.7150/jca.30624 |
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