{"ok":true,"nota":{"id":"d4b4596ec7fcdd94","slug":"un-modelo-por-computadora-muestra-que-tratamientos-inmunologicos-podri-d4b459","titulo":"Un modelo por computadora muestra qué tratamientos inmunológicos podrían funcionar mejor según dónde se hayan ","resumen":"Construyeron un modelo computacional que simula células del sistema inmune y del tumor dentro de metástasis de cáncer de mama en ratones. Usaron el modelo para predecir la respuesta a una combinación de inhibidores de checkpoint. Los resultados sugieren que el sitio del tumor cambia la efectividad del tratamiento.","fuente":"biorxiv","fuenteNombre":"bioRxiv · preprints","color":"#be2628","autor":"King, T., Gonzalez, E., Roussos Torres, E. T., Finley, S. D.","url":"https://www.biorxiv.org/content/10.64898/2026.10.16.759478v1?rss=1","imagen":"/hoy/portada/d4b4596ec7fcdd94","tema":"ciencia","subtemas":["cáncer de mama","inmunoterapia","metástasis","modelado computacional","tratamientos oncológicos"],"entidades":["bioRxiv"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-22T00:00:00.000Z","indexTs":"2026-10-22T23:19:43.636Z","hash":"9932d9f6632abe49bd7aa1aa679cac743253d3afd3cb1587d3c65d6fb507d764","tsa":{"time":"Oct 22 23:20:45 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"Un mismo tratamiento puede funcionar muy distinto según el órgano donde el cáncer se haya extendido, algo que hoy no siempre se tiene en cuenta al elegir la terapia. Este trabajo todavía está en animales y en forma de simulación, así que no cambia nada en el consultorio de hoy. Lo que sí deja planteado es que la misma enfermedad podría necesitar estrategias distintas en cada paciente.","quienFirma":"Preprint en bioRxiv (autores no identificados en el resumen disponible)","confianza":"preprint","consulta":null},"sello":{"hash":"9932d9f6632abe49bd7aa1aa679cac743253d3afd3cb1587d3c65d6fb507d764","sello":"06735bde1cdb7448e24299e13b8a2ed9b4df262f05c1fcca74fba1c73d28680e","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6576007,"aleatorio":"95dbaf32f50651e333ceec71d41e8fb48fb5366fda7d20abcbc7ea91ece96f50","tiempo":"2026-10-22T23:20:30.000Z"},"nist":{"cadena":2,"pulso":1995203,"salida":"8A13BF41CC085A093FFEA64CBB7EB887732A2613A6D9655D0453147066A38EB79E9EC218F3D2AC07553BF1FD20E0E18DC3AD27C19DD5DB9E691AB8B8E2BD47D3","tiempo":"2026-10-22T23:20:00.000Z"},"noAntes":"2026-10-22T23:20:30.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 22 23:20:45 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"Computational modeling of breast cancer metastases predicts response to dual checkpoint inhibition and reveals spatially-informed treatments","descripcion":"In advanced breast cancers, the highly suppressive tumor microenvironment contributes to poor responses to immune checkpoint inhibition. The degree of suppression varies by site of disease, which can affect metastatic progression. To investigate this phenomenon, we have developed an agent-based model of cell-cell interactions within the tumor microenvironment, specifically tuned to in vivo data from murine breast-to-lung metastases. The model includes nine functional cell types (cancer cells, M0-, M1-, and M2-like macrophages, CD4+ T cells, T regulatory cells [Tregs], CD8+ T cells, NK cells, and MDSC-like cells). We incorporated a novel continuum model to describe exhaustion of CD8+ T and NK","pubDate":"2026-10-22","url":"https://www.biorxiv.org/content/10.64898/2026.10.16.759478v1?rss=1"},"indexado":"2026-10-22T23:19:43.636Z"}}