Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

Genomic analysis of benign prostatic hyperplasia implicates cellular relandscaping in disease pathogenesis
Lance W. Middleton, Zhewei Shen, Sushama Varma, Anna S. Pollack, Xue Gong, Shirley Zhu, Chunfang Zhu, Joseph W. Foley, Sujay Vennam, Robert T. Sweeney, Karen Tu, Jewison Biscocho, Okyaz Eminaga, Rosalie Nolley, Robert Tibshirani, James D. Brooks, Robert B. West, Jonathan R. Pollack
Lance W. Middleton, Zhewei Shen, Sushama Varma, Anna S. Pollack, Xue Gong, Shirley Zhu, Chunfang Zhu, Joseph W. Foley, Sujay Vennam, Robert T. Sweeney, Karen Tu, Jewison Biscocho, Okyaz Eminaga, Rosalie Nolley, Robert Tibshirani, James D. Brooks, Robert B. West, Jonathan R. Pollack
View: Text | PDF
Research Article Cell biology Oncology

Genomic analysis of benign prostatic hyperplasia implicates cellular relandscaping in disease pathogenesis

  • Text
  • PDF
Abstract

Benign prostatic hyperplasia (BPH) is the most common cause of lower urinary tract symptoms in men. Current treatments target prostate physiology rather than BPH pathophysiology and are only partially effective. Here, we applied next-generation sequencing to gain insight into BPH. By RNA-Seq, we uncovered transcriptional heterogeneity among BPH cases, where a 65-gene BPH stromal signature correlated with symptom severity. Stromal signaling molecules bone morphogenetic protein 5 (BMP5) and CXC chemokine ligand 13 (CXCL13) were enriched in BPH while estrogen-regulated pathways were depleted. Notably, BMP5’s addition to cultured prostatic myofibroblasts altered their expression profile toward a BPH profile that included the BPH stromal signature. RNA-Seq also suggested an altered cellular milieu in BPH, which we verified by immunohistochemistry and single-cell RNA-Seq. In particular, BPH tissues exhibited enrichment of myofibroblast subsets but also depletion of neuroendocrine cells and an estrogen receptor–positive fibroblast cell type residing near the epithelium. By whole-exome sequencing, we uncovered somatic single-nucleotide variants in BPH, of uncertain pathogenic significance but indicative of clonal cell expansions. Thus, genomic characterization of BPH has identified a clinically relevant stromal signature and new candidate disease pathways (including a likely role for BMP5 signaling) and reveals BPH to be not merely a hyperplasia, but rather a fundamental relandscaping of cell types.

Authors

Lance W. Middleton, Zhewei Shen, Sushama Varma, Anna S. Pollack, Xue Gong, Shirley Zhu, Chunfang Zhu, Joseph W. Foley, Sujay Vennam, Robert T. Sweeney, Karen Tu, Jewison Biscocho, Okyaz Eminaga, Rosalie Nolley, Robert Tibshirani, James D. Brooks, Robert B. West, Jonathan R. Pollack

×

Usage data is cumulative from February 2025 through February 2026.

Usage JCI PMC
Text version 2,055 552
PDF 323 54
Figure 484 4
Supplemental data 170 35
Citation downloads 130 0
Totals 3,162 645
Total Views 3,807
(Click and drag on plot area to zoom in. Click legend items above to toggle)

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts