- Main
The Proteogenomic Landscape of Curable Prostate Cancer
- Sinha, Ankit;
- Huang, Vincent;
- Livingstone, Julie;
- Wang, Jenny;
- Fox, Natalie S;
- Kurganovs, Natalie;
- Ignatchenko, Vladimir;
- Fritsch, Katharina;
- Donmez, Nilgun;
- Heisler, Lawrence E;
- Shiah, Yu-Jia;
- Yao, Cindy Q;
- Alfaro, Javier A;
- Volik, Stas;
- Lapuk, Anna;
- Fraser, Michael;
- Kron, Ken;
- Murison, Alex;
- Lupien, Mathieu;
- Sahinalp, Cenk;
- Collins, Colin C;
- Tetu, Bernard;
- Masoomian, Mehdi;
- Berman, David M;
- van der Kwast, Theodorus;
- Bristow, Robert G;
- Kislinger, Thomas;
- Boutros, Paul C
- et al.
Published Web Location
https://doi.org/10.1016/j.ccell.2019.02.005Abstract
DNA sequencing has identified recurrent mutations that drive the aggressiveness of prostate cancers. Surprisingly, the influence of genomic, epigenomic, and transcriptomic dysregulation on the tumor proteome remains poorly understood. We profiled the genomes, epigenomes, transcriptomes, and proteomes of 76 localized, intermediate-risk prostate cancers. We discovered that the genomic subtypes of prostate cancer converge on five proteomic subtypes, with distinct clinical trajectories. ETS fusions, the most common alteration in prostate tumors, affect different genes and pathways in the proteome and transcriptome. Globally, mRNA abundance changes explain only ∼10% of protein abundance variability. As a result, prognostic biomarkers combining genomic or epigenomic features with proteomic ones significantly outperform biomarkers comprised of a single data type.
Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.
Main Content
Enter the password to open this PDF file:
-
-
-
-
-
-
-
-
-
-
-
-
-
-