The prognostic impact of the tumour stroma fraction: A machine learning-based analysis in 16 human solid tumour types

BACKGROUND: The development of a reactive tumour stroma is a hallmark of tumour progression and pronounced tumour stroma is generally considered to be associated with clinical aggressiveness. The variability between tumour types regarding stroma fraction, and its prognosis associations, have not bee...

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Detalles Bibliográficos
Autores principales: Micke, Patrick, Strell, Carina, Mattsson, Johanna, Martín-Bernabé, Alfonso, Brunnström, Hans, Huvila, Jutta, Sund, Malin, Wärnberg, Fredrik, Ponten, Fredrik, Glimelius, Bengt, Hrynchyk, Ina, Mauchanski, Siarhei, Khelashvili, Salome, Garcia-Vicién, Gemma, Molleví, David G., Edqvist, Per-Henrik, O´Reilly, Aine, Corvigno, Sara, Dahlstrand, Hanna, Botling, Johan, Segersten, Ulrika, Krzyzanowska, Agnieszka, Bjartell, Anders, Elebro, Jacob, Heby, Margareta, Lundgren, Sebastian, Hedner, Charlotta, Borg, David, Brändstedt, Jenny, Sartor, Hanna, Malmström, Per-Uno, Johansson, Martin, Nodin, Björn, Backman, Max, Lindskog, Cecilia, Jirström, Karin, Mezheyeuski, Artur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7960932/
https://www.ncbi.nlm.nih.gov/pubmed/33706249
http://dx.doi.org/10.1016/j.ebiom.2021.103269

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7960932/
https://www.ncbi.nlm.nih.gov/pubmed/33706249
http://dx.doi.org/10.1016/j.ebiom.2021.103269

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