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J Neurooncol ; 79(2): 171-9, 2006 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-16850112

RESUMEN

PURPOSE: Primary central nervous system lymphomas (PCNSL) are rare tumours occurring in the brain. Their biology and the factors predicting survival are not well known. This study investigated expression of the antiapoptotic protein survivin and platelet-derived growth factor A (PDGF-A) and receptor (PDGFRalpha) in PCNSL. EXPERIMENTAL DESIGN: A total of 44 patients with histologically confirmed PCNSL treated between 1992 and 2004 were included in this study, and tumour specimens were investigated immunohistochemically for expression of survivin, PDGF-A and PDGFRalpha. Protein expression and clinical variables were analyzed statistically. RESULTS: Of the 44 tumours 43(98%) were diffuse large B-cell non-Hodgkin's lymphomas (NHL) and one was a T-cell NHL. Around 37 (84%) of the examined PCNSL specimens showed expression of survivin, 16 (36%) of PDGF-A and 34 (77%) of PDGFRalpha. Tumours expressing surviving co-expressed PDGFRalpha frequently and PDGF-A occasionally. Expression of the above proteins was not predictive for survival in this patient group. Except for age and therapy, no other clinical variables correlated significantly with overall survival. CONCLUSIONS: PCNSL express survivin and PDGFRalpha in the majority of investigated cases. PDGF-A is expressed less frequently. Immunohistochemical detection of these proteins does not correlate with overall survival and cannot be used as a prognostic factor.


Asunto(s)
Neoplasias del Sistema Nervioso Central/metabolismo , Linfoma no Hodgkin/metabolismo , Proteínas Asociadas a Microtúbulos/metabolismo , Proteínas de Neoplasias/metabolismo , Factor de Crecimiento Derivado de Plaquetas/metabolismo , Receptor alfa de Factor de Crecimiento Derivado de Plaquetas/metabolismo , Anciano , Neoplasias del Sistema Nervioso Central/patología , Femenino , Humanos , Inmunohistoquímica , Proteínas Inhibidoras de la Apoptosis , Linfoma no Hodgkin/patología , Masculino , Persona de Mediana Edad , Modelos de Riesgos Proporcionales , Análisis de Regresión , Estudios Retrospectivos , Análisis de Supervivencia , Survivin , Distribución Tisular
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