Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients.
J Neuroradiol
; 42(4): 212-21, 2015 Jul.
Article
em En
| MEDLINE
| ID: mdl-24997477
ABSTRACT
PURPOSE:
The purpose of our study was to assess whether a model combining clinical factors, MR imaging features, and genomics would better predict overall survival of patients with glioblastoma (GBM) than either individual data type.METHODS:
The study was conducted leveraging The Cancer Genome Atlas (TCGA) effort supported by the National Institutes of Health. Six neuroradiologists reviewed MRI images from The Cancer Imaging Archive (http//cancerimagingarchive.net) of 102 GBM patients using the VASARI scoring system. The patients' clinical and genetic data were obtained from the TCGA website (http//www.cancergenome.nih.gov/). Patient outcome was measured in terms of overall survival time. The association between different categories of biomarkers and survival was evaluated using Cox analysis.RESULTS:
The features that were significantly associated with survival were (1) clinical factors chemotherapy; (2) imaging proportion of tumor contrast enhancement on MRI; and (3) genomics HRAS copy number variation. The combination of these three biomarkers resulted in an incremental increase in the strength of prediction of survival, with the model that included clinical, imaging, and genetic variables having the highest predictive accuracy (area under the curve 0.679±0.068, Akaike's information criterion 566.7, P<0.001).CONCLUSION:
A combination of clinical factors, imaging features, and HRAS copy number variation best predicts survival of patients with GBM.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Encefálicas
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Imageamento por Ressonância Magnética
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Biomarcadores Tumorais
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Glioblastoma
Tipo de estudo:
Diagnostic_studies
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Etiology_studies
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Observational_studies
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Prevalence_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Female
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Humans
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Male
Idioma:
En
Revista:
J Neuroradiol
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
Estados Unidos