Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression

Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression

Abstract 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 c...

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Main Authors: Marco Bolis, Daniela Bossi, Arianna Vallerga, Valentina Ceserani, Manuela Cavalli, Daniela Impellizzieri, Laura Di Rito, Eugenio Zoni, Simone Mosole, Angela Rita Elia, Andrea Rinaldi, Ricardo Pereira Mestre, Eugenia D’Antonio, Matteo Ferrari, Flavio Stoffel, Fernando Jermini, Silke Gillessen, Lukas Bubendorf, Peter Schraml, Arianna Calcinotto, Eva Corey, Holger Moch, Martin Spahn, George Thalmann, Marianna Kruithof-de Julio, Mark A. Rubin, Jean-Philippe P. Theurillat
Format: Article
Language:English
Published: Nature Portfolio 2021-12-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-26840-5
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https://doi.org/10.1038/s41467-021-26840-5

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