ABSTRACT
La muerte súbita cardiaca es un problema de salud pública a nivel mundial. Aunque su incidencia no es conocida, se estima que causa hasta 50% de la mortalidad de origen cardíaco y hasta 20% de la mortalidad total en los adultos. En México, estimaciones previas sugieren que causa en promedio 33 000 muertes al año; sin embargo, los datos no son precisos. La mitad de los eventos por muerte súbita cardiaca se deben a un paro cardiaco súbito extrahospitalario que, de no ser atendido oportunamente, deriva en una muerte súbita cardiaca. Por tanto, la capacidad de responder pronta y adecuadamente a estos eventos con las maniobras y equipos necesarios mejora la sobrevida de las víctimas. Para atender este problema, en algunos estados del país se han creado espacios cardioprotegidos que permiten realizar maniobras de reanimación cardiopulmonar y desfibrilación cardiaca de acceso público oportunamente. Como objetivo, los profesionales de la salud establecen la importancia de implementar espacios cardioprotegidos y crear políticas públicas al respecto en todo el país.
ABSTRACT
Glioneuronal tumours are an important cause of treatment-resistant epilepsy. Subtypes of tumour are often poorly discriminated by histological features and may be difficult to diagnose due to a lack of robust diagnostic tools. This is illustrated by marked variability in the reported frequencies across different epilepsy surgical series. To address this, we used DNA methylation arrays and RNA sequencing to assay the methylation and expression profiles within a large cohort of glioneuronal tumours. By adopting a class discovery approach, we were able to identify two distinct groups of glioneuronal tumour, which only partially corresponded to the existing histological classification. Furthermore, by additional molecular analyses, we were able to identify pathogenic mutations in BRAF and FGFR1, specific to each group, in a high proportion of cases. Finally, by interrogating our expression data, we were able to show that each molecular group possessed expression phenotypes suggesting different cellular differentiation: astrocytic in one group and oligodendroglial in the second. Informed by this, we were able to identify CCND1, CSPG4, and PDGFRA as immunohistochemical targets which could distinguish between molecular groups. Our data suggest that the current histological classification of glioneuronal tumours does not adequately represent their underlying biology. Instead, we show that there are two molecular groups within glioneuronal tumours. The first of these displays astrocytic differentiation and is driven by BRAF mutations, while the second displays oligodendroglial differentiation and is driven by FGFR1 mutations.
