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Ensayo de esferoides de alto rendimiento para medicina de precisión del cáncer de mama funcional facilitado por

Ben Haspels^1,2, Maarten W Paul^1,2,3, Jayant Jagessar Tewari¹

¹Department of Molecular Genetics, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.

Communications medicine

|January 10, 2026

Resumen

Un nuevo ensayo de esferoides de alto rendimiento predice con precisión la respuesta al tratamiento del cáncer de mama. Este ensayo funcional utiliza el aprendizaje profundo para la segmentación de esferoides, lo que ayuda a la oncología personalizada para el cáncer de mama triple negativo.

Sus antecedentes:

El cáncer de mama es una de las principales causas de mortalidad por cáncer en mujeres.
Los cánceres de mama triple negativos (CMTN) tienen un mal pronóstico.
La deficiencia de recombinación homóloga (DRH) presenta dianas terapéuticas como los inhibidores de pol (ADP-ribosa) polimerasa (PARP), pero la respuesta al tratamiento varía.

Conclusiones:

Un ensayo de esferoides guiado por aprendizaje profundo puede predecir la sensibilidad del tumor a diversas terapias.
Este ensayo muestra potencial para la oncología de precisión funcional en el tratamiento del cáncer de mama.
El análisis automatizado de esferoides permite una predicción fiable de la eficacia del tratamiento.

Palabras clave:

cáncer de mama medicina de precisión esferoides aprendizaje profundo oncología funcional ensayo de alto rendimiento terapia dirigida biotecnología diagnóstico médico cáncer de mama triple negativo

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