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J Immunol ; 189(4): 1920-7, 2012 Aug 15.
Artículo en Inglés | MEDLINE | ID: mdl-22802421

RESUMEN

Survival in the majority of high-grade astrocytoma (HGA) patients is very poor, with only a rare population of long-term survivors. A better understanding of the biological factors associated with long-term survival in HGA would aid development of more effective therapy and survival prediction. Factors associated with long-term survival have not been extensively studied using unbiased genome-wide expression analyses. In the current study, gene expression microarray profiles of HGA from long-term survivors were interrogated for discovery of survival-associated biological factors. Ontology analyses revealed that increased expression of immune function-related genes was the predominant biological factor that positively correlated with longer survival. A notable T cell signature was present within this prognostic immune gene set. Using immune cell-specific gene classifiers, both T cell-associated and myeloid linage-associated genes were shown to be enriched in HGA from long-term versus short-term survivors. Association of immune function and cell-specific genes with survival was confirmed independently in a larger publicly available glioblastoma gene expression microarray data set. Histology was used to validate the results of microarray analyses in a larger cohort of long-term survivors of HGA. Multivariate analyses demonstrated that increased immune cell infiltration was a significant independent variable contributing to longer survival, as was Karnofsky/Lansky performance score. These data provide evidence of a prognostic anti-tumor adaptive immune response and rationale for future development of immunotherapy in HGA.


Asunto(s)
Astrocitoma/genética , Astrocitoma/inmunología , Neoplasias Encefálicas/genética , Neoplasias Encefálicas/inmunología , Sobrevivientes , Astrocitoma/mortalidad , Neoplasias Encefálicas/mortalidad , Perfilación de la Expresión Génica , Humanos , Inmunohistoquímica , Estimación de Kaplan-Meier , Estado de Ejecución de Karnofsky , Linfocitos Infiltrantes de Tumor/inmunología , Análisis de Secuencia por Matrices de Oligonucleótidos , Pronóstico , Modelos de Riesgos Proporcionales
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