Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression

Comprehensive genomic studies have delineated key driver mutations linked to disease progression for most cancers. However, corresponding transcriptional changes remain largely elusive because of the bias associated with cross-study analysis. Here, we overcome these hurdles and generate a comprehens...

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Detalles Bibliográficos
Autores principales: Bolis, Marco, Bossi, Daniela, Vallerga, Arianna, Ceserani, Valentina, Cavalli, Manuela, Impellizzieri, Daniela, Di Rito, Laura, Zoni, Eugenio, Mosole, Simone, Elia, Angela Rita, Rinaldi, Andrea, Pereira Mestre, Ricardo, D’Antonio, Eugenia, Ferrari, Matteo, Stoffel, Flavio, Jermini, Fernando, Gillessen, Silke, Bubendorf, Lukas, Schraml, Peter, Calcinotto, Arianna, Corey, Eva, Moch, Holger, Spahn, Martin, Thalmann, George, Kruithof-de Julio, Marianna, Rubin, Mark A., Theurillat, Jean-Philippe P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640014/
https://www.ncbi.nlm.nih.gov/pubmed/34857732
http://dx.doi.org/10.1038/s41467-021-26840-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640014/
https://www.ncbi.nlm.nih.gov/pubmed/34857732
http://dx.doi.org/10.1038/s41467-021-26840-5

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