Author
Listed:
- Deli Liu
(Weill Cornell Medicine
Weill Cornell Medicine
Weill Cornell Medical College
Englander Institute for Precision Medicine of Weill Cornell Medicine and NewYork-Presbyterian Hospital)
- Jonathan E. Shoag
(Weill Cornell Medicine
Weill Cornell Medicine)
- Daniel Poliak
(Weill Cornell Medicine)
- Ramy S. Goueli
(Weill Cornell Medicine)
- Vaishali Ravikumar
(Weill Cornell Medicine)
- David Redmond
(Weill Cornell Medicine)
- Aram Vosoughi
(Weill Cornell Medical College)
- Jacqueline Fontugne
(Englander Institute for Precision Medicine of Weill Cornell Medicine and NewYork-Presbyterian Hospital
Weill Cornell Medical College)
- Heng Pan
(Englander Institute for Precision Medicine of Weill Cornell Medicine and NewYork-Presbyterian Hospital)
- Daniel Lee
(Weill Cornell Medicine)
- Domonique Thomas
(Weill Cornell Medicine)
- Keyan Salari
(Harvard Medical School)
- Zongwei Wang
(Harvard Medical School)
- Alessandro Romanel
(Computational and Integrative Biology (CIBIO))
- Alexis Te
(Weill Cornell Medicine)
- Richard Lee
(Weill Cornell Medicine)
- Bilal Chughtai
(Weill Cornell Medicine)
- Aria F. Olumi
(Harvard Medical School)
- Juan Miguel Mosquera
(Weill Cornell Medical College
Englander Institute for Precision Medicine of Weill Cornell Medicine and NewYork-Presbyterian Hospital
Weill Cornell Medical College)
- Francesca Demichelis
(Computational and Integrative Biology (CIBIO))
- Olivier Elemento
(Weill Cornell Medical College
Englander Institute for Precision Medicine of Weill Cornell Medicine and NewYork-Presbyterian Hospital)
- Mark A. Rubin
(Englander Institute for Precision Medicine of Weill Cornell Medicine and NewYork-Presbyterian Hospital
University of Bern and Inselspital)
- Andrea Sboner
(Weill Cornell Medicine
Weill Cornell Medical College
Englander Institute for Precision Medicine of Weill Cornell Medicine and NewYork-Presbyterian Hospital
Weill Cornell Medical College)
- Christopher E. Barbieri
(Weill Cornell Medicine
Weill Cornell Medicine
Englander Institute for Precision Medicine of Weill Cornell Medicine and NewYork-Presbyterian Hospital)
Abstract
Benign prostatic hyperplasia (BPH), a nonmalignant enlargement of the prostate, is among the most common diseases affecting aging men, but the underlying molecular features remain poorly understood, and therapeutic options are limited. Here we employ a comprehensive molecular investigation of BPH, including genomic, transcriptomic and epigenetic profiling. We find no evidence of neoplastic features in BPH: no evidence of driver genomic alterations, including low coding mutation rates, mutational signatures consistent with aging tissues, minimal copy number alterations, and no genomic rearrangements. At the epigenetic level, global hypermethylation is the dominant process. Integrating transcriptional and methylation signatures identifies two BPH subgroups with distinct clinical features and signaling pathways, validated in two independent cohorts. Finally, mTOR inhibitors emerge as a potential subtype-specific therapeutic option, and men exposed to mTOR inhibitors show a significant decrease in prostate size. We conclude that BPH consists of distinct molecular subgroups, with potential for subtype-specific precision therapy.
Suggested Citation
Deli Liu & Jonathan E. Shoag & Daniel Poliak & Ramy S. Goueli & Vaishali Ravikumar & David Redmond & Aram Vosoughi & Jacqueline Fontugne & Heng Pan & Daniel Lee & Domonique Thomas & Keyan Salari & Zon, 2020.
"Integrative multiplatform molecular profiling of benign prostatic hyperplasia identifies distinct subtypes,"
Nature Communications, Nature, vol. 11(1), pages 1-9, December.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15913-6
DOI: 10.1038/s41467-020-15913-6
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