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De los datos a la decisión: Integración de la bioinformática en la estratificación de pacientes con glioma y la
Ekaterina Sleptsova1, Olga Vershinina2,3, Mikhail Ivanchenko2,3
1Department of Genetics and Life Sciences, Sirius University, Sochi 354340, Russia.
International journal of molecular sciences
|January 28, 2026
Resumen
Las herramientas bioinformáticas refinan el diagnóstico y tratamiento del glioma mediante el análisis de datos genómicos e inmunitarios complejos. Estos métodos computacionales ayudan en la selección de terapias personalizadas, particularmente para la inmunoterapia, aunque la aplicación clínica aún está en desarrollo.
Área de la Ciencia:
- Oncología
- Bioinformática
- Genómica
Sus antecedentes:
- Los gliomas presentan una heterogeneidad significativa, lo que conduce a respuestas variables al tratamiento y impulsa la necesidad de herramientas diagnósticas y pronósticas precisas.
- Los enfoques de tratamiento tradicionales para los gliomas son a menudo empíricos debido a su complejidad.
Objetivo del estudio:
- Revisar y analizar comparativamente herramientas bioinformáticas para el diagnóstico, estadificación y estratificación de pacientes con glioma.
- Destacar el papel de la bioinformática en el descubrimiento de biomarcadores y dianas terapéuticas novedosas para los gliomas.
- Evaluar modelos computacionales para predecir la respuesta a la inmunoterapia en pacientes con glioma.
Principales métodos:
- Análisis comparativo de software para el procesamiento de datos de secuenciación del exoma completo, metilación del ADN y transcriptómica.
- Revisión de enfoques computacionales para la identificación del tumor mutacional, el microambiente inmunitario y los neoantígenos.
- Evaluación de las contribuciones de la bioinformática a la investigación oncológica fundamental.
Principales resultados:
- Las herramientas bioinformáticas ofrecen capacidades avanzadas para refinar el diagnóstico y la estadificación del glioma.
- Estas herramientas facilitan el descubrimiento de posibles genes biomarcadores y dianas farmacológicas.
- El análisis de datos integradores, incluido el perfil inmunitario, puede predecir la eficacia de la inmunoterapia en los gliomas.
Conclusiones:
- El análisis bioinformático integral apoya la integración de la inmunoterapia en los protocolos de tratamiento estándar del glioma para pacientes seleccionados.
- Las herramientas computacionales son cruciales para avanzar en la medicina personalizada en el manejo del glioma.
- A pesar de los avances significativos, la aplicación clínica de estas herramientas bioinformáticas se encuentra en gran medida en la etapa de investigación preclínica.
Palabras clave:
astrocitomainteligencia artificial explicableglioblastoma (GBM)aprendizaje automáticooligodendrogliomamicroambiente tumoralMás Videos Relacionados
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