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  3. Genomic correlates of clinical outcome in advanced prostate cancer.
 

Genomic correlates of clinical outcome in advanced prostate cancer.

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BORIS DOI
10.7892/boris.136291
Date of Publication
June 4, 2019
Publication Type
Article
Division/Institute

Department for BioMed...

Department for BioMed...

Contributor
Abida, Wassim
Cyrta, Joanna
Department for BioMedical Research, Forschungsgruppe Präzisionsonkologie
Heller, Glenn
Prandi, Davide
Armenia, Joshua
Coleman, Ilsa
Cieslik, Marcin
Benelli, Matteo
Robinson, Dan
Van Allen, Eliezer M
Sboner, Andrea
Fedrizzi, Tarcisio
Mosquera, Juan Miguel
Robinson, Brian D
De Sarkar, Navonil
Kunju, Lakshmi P
Tomlins, Scott
Wu, Yi Mi
Nava Rodrigues, Daniel
Loda, Massimo
Gopalan, Anuradha
Reuter, Victor E
Pritchard, Colin C
Mateo, Joaquin
Bianchini, Diletta
Miranda, Susana
Carreira, Suzanne
Rescigno, Pasquale
Filipenko, Julie
Vinson, Jacob
Montgomery, Robert B
Beltran, Himisha
Heath, Elisabeth I
Scher, Howard I
Kantoff, Philip W
Taplin, Mary-Ellen
Schultz, Nikolaus
deBono, Johann S
Demichelis, Francesca
Nelson, Peter S
Rubin, Mark Andrew
Department for BioMedical Research (DBMR)
Department for BioMedical Research, Forschungsgruppe Präzisionsonkologie
Chinnaiyan, Arul M
Sawyers, Charles L
Subject(s)

600 - Technology::610...

Series
Proceedings of the National Academy of Sciences of the United States of America - PNAS
ISSN or ISBN (if monograph)
0027-8424
Publisher
National Academy of Sciences NAS
Language
English
Publisher DOI
10.1073/pnas.1902651116
PubMed ID
31061129
Uncontrolled Keywords

biomarkers castration...

Description
Heterogeneity in the genomic landscape of metastatic prostate cancer has become apparent through several comprehensive profiling efforts, but little is known about the impact of this heterogeneity on clinical outcome. Here, we report comprehensive genomic and transcriptomic analysis of 429 patients with metastatic castration-resistant prostate cancer (mCRPC) linked with longitudinal clinical outcomes, integrating findings from whole-exome, transcriptome, and histologic analysis. For 128 patients treated with a first-line next-generation androgen receptor signaling inhibitor (ARSI; abiraterone or enzalutamide), we examined the association of 18 recurrent DNA- and RNA-based genomic alterations, including androgen receptor (AR) variant expression, AR transcriptional output, and neuroendocrine expression signatures, with clinical outcomes. Of these, only RB1 alteration was significantly associated with poor survival, whereas alterations in RB1, AR, and TP53 were associated with shorter time on treatment with an ARSI. This large analysis integrating mCRPC genomics with histology and clinical outcomes identifies RB1 genomic alteration as a potent predictor of poor outcome, and is a community resource for further interrogation of clinical and molecular associations.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/184142
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11428.full.pdftextAdobe PDF1.24 MBpublishedOpen
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