Modeling the effects of EMT-immune dynamics on carcinoma disease progression

Bergman, Karikomi et al. propose a multiscale evolutionary model to describe tumor-immune-EMT interactions and their impact on epithelial cancer progression, which highlights a controllable region that maximizes invasion-free survival. Using EMT-inflammation associated TCGA data, the authors find EM...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Daniel R. Bergman, Matthew K. Karikomi, Min Yu, Qing Nie, Adam L. MacLean
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/f69f8c00bcdf4bb0ab8fdb4757e03707
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f69f8c00bcdf4bb0ab8fdb4757e03707
record_format	dspace
spelling	oai:doaj.org-article:f69f8c00bcdf4bb0ab8fdb4757e037072021-12-02T15:10:38ZModeling the effects of EMT-immune dynamics on carcinoma disease progression10.1038/s42003-021-02499-y2399-3642https://doaj.org/article/f69f8c00bcdf4bb0ab8fdb4757e037072021-08-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02499-yhttps://doaj.org/toc/2399-3642Bergman, Karikomi et al. propose a multiscale evolutionary model to describe tumor-immune-EMT interactions and their impact on epithelial cancer progression, which highlights a controllable region that maximizes invasion-free survival. Using EMT-inflammation associated TCGA data, the authors find EMT association worsens invasion-free survival and identify genes that influence outcomes in bladder and uterine cancer.Daniel R. BergmanMatthew K. KarikomiMin YuQing NieAdam L. MacLeanNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Daniel R. Bergman Matthew K. Karikomi Min Yu Qing Nie Adam L. MacLean Modeling the effects of EMT-immune dynamics on carcinoma disease progression
description	Bergman, Karikomi et al. propose a multiscale evolutionary model to describe tumor-immune-EMT interactions and their impact on epithelial cancer progression, which highlights a controllable region that maximizes invasion-free survival. Using EMT-inflammation associated TCGA data, the authors find EMT association worsens invasion-free survival and identify genes that influence outcomes in bladder and uterine cancer.
format	article
author	Daniel R. Bergman Matthew K. Karikomi Min Yu Qing Nie Adam L. MacLean
author_facet	Daniel R. Bergman Matthew K. Karikomi Min Yu Qing Nie Adam L. MacLean
author_sort	Daniel R. Bergman
title	Modeling the effects of EMT-immune dynamics on carcinoma disease progression
title_short	Modeling the effects of EMT-immune dynamics on carcinoma disease progression
title_full	Modeling the effects of EMT-immune dynamics on carcinoma disease progression
title_fullStr	Modeling the effects of EMT-immune dynamics on carcinoma disease progression
title_full_unstemmed	Modeling the effects of EMT-immune dynamics on carcinoma disease progression
title_sort	modeling the effects of emt-immune dynamics on carcinoma disease progression
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f69f8c00bcdf4bb0ab8fdb4757e03707
work_keys_str_mv	AT danielrbergman modelingtheeffectsofemtimmunedynamicsoncarcinomadiseaseprogression AT matthewkkarikomi modelingtheeffectsofemtimmunedynamicsoncarcinomadiseaseprogression AT minyu modelingtheeffectsofemtimmunedynamicsoncarcinomadiseaseprogression AT qingnie modelingtheeffectsofemtimmunedynamicsoncarcinomadiseaseprogression AT adamlmaclean modelingtheeffectsofemtimmunedynamicsoncarcinomadiseaseprogression
_version_	1718387730469093376

Modeling the effects of EMT-immune dynamics on carcinoma disease progression

Ejemplares similares