Construction of a set of novel and robust gene expression signatures predicting prostate cancer recurrence

We report here numerous novel genes and multiple new signatures which robustly predict prostate cancer (PC) recurrence. We extracted 696 differentially expressed genes relative to a reported PC signature from the TCGA dataset (n = 492) and built a 15‐gene signature (SigMuc1NW) using Elastic‐net with...

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Detalles Bibliográficos
Autores principales: Jiang, Yanzhi, Mei, Wenjuan, Gu, Yan, Lin, Xiaozeng, He, Lizhi, Zeng, Hui, Wei, Fengxiang, Wan, Xinhong, Yang, Huixiang, Major, Pierre, Tang, Damu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6120243/
https://www.ncbi.nlm.nih.gov/pubmed/30024105
http://dx.doi.org/10.1002/1878-0261.12359

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6120243/
https://www.ncbi.nlm.nih.gov/pubmed/30024105
http://dx.doi.org/10.1002/1878-0261.12359

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