Your browser doesn't support javascript.
loading
Incidence and prognosis of patients with brain metastases at diagnosis of systemic malignancy: a population-based study.
Cagney, Daniel N; Martin, Allison M; Catalano, Paul J; Redig, Amanda J; Lin, Nancy U; Lee, Eudocia Q; Wen, Patrick Y; Dunn, Ian F; Bi, Wenya Linda; Weiss, Stephanie E; Haas-Kogan, Daphne A; Alexander, Brian M; Aizer, Ayal A.
Afiliação
  • Cagney DN; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T. H. Chan School of Public Health, and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Ma
  • Martin AM; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T. H. Chan School of Public Health, and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Ma
  • Catalano PJ; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T. H. Chan School of Public Health, and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Ma
  • Redig AJ; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T. H. Chan School of Public Health, and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Ma
  • Lin NU; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T. H. Chan School of Public Health, and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Ma
  • Lee EQ; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T. H. Chan School of Public Health, and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Ma
  • Wen PY; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T. H. Chan School of Public Health, and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Ma
  • Dunn IF; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T. H. Chan School of Public Health, and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Ma
  • Bi WL; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T. H. Chan School of Public Health, and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Ma
  • Weiss SE; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T. H. Chan School of Public Health, and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Ma
  • Haas-Kogan DA; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T. H. Chan School of Public Health, and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Ma
  • Alexander BM; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T. H. Chan School of Public Health, and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Ma
  • Aizer AA; Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T. H. Chan School of Public Health, and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Ma
Neuro Oncol ; 19(11): 1511-1521, 2017 Oct 19.
Article em En | MEDLINE | ID: mdl-28444227
ABSTRACT

BACKGROUND:

Brain metastases are associated with significant morbidity and mortality. Population-level data describing the incidence and prognosis of patients with brain metastases are lacking. The aim of this study was to characterize the incidence and prognosis of patients with brain metastases at diagnosis of systemic malignancy using recently released data from the Surveillance, Epidemiology, and End Results (SEER) program.

METHODS:

We identified 1302166 patients with diagnoses of nonhematologic malignancies originating outside of the CNS between 2010 and 2013 and described the incidence proportion and survival of patients with brain metastases.

RESULTS:

We identified 26430 patients with brain metastases at diagnosis of cancer. Patients with small cell and non-small cell lung cancer displayed the highest rates of identified brain metastases at diagnosis; among patients presenting with metastatic disease, patients with melanoma (28.2%), lung adenocarcinoma (26.8%), non-small cell lung cancer not otherwise specified/other lung cancer (25.6%), small cell lung cancer (23.5%), squamous cell carcinoma of the lung (15.9%), bronchioloalveolar carcinoma (15.5%), and renal cancer (10.8%) had an incidence proportion of identified brain metastases of >10%. Patients with brain metastases secondary to prostate cancer, bronchioloalveolar carcinoma, and breast cancer displayed the longest median survival (12.0, 10.0, and 10.0 months, respectively).

CONCLUSIONS:

In this study we provide generalizable estimates of the incidence and prognosis for patients with brain metastases at diagnosis of a systemic malignancy. These data may allow for appropriate utilization of brain-directed imaging as screening for subpopulations with cancer and have implications for clinical trial design and counseling of patients regarding prognosis.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Neoplasias Tipo de estudo: Diagnostic_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Neuro Oncol Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Neoplasias Tipo de estudo: Diagnostic_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Neuro Oncol Ano de publicação: 2017 Tipo de documento: Article