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Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states.

Authors :
Song, Hanbing
Song, Hanbing
Weinstein, Hannah NW
Allegakoen, Paul
Wadsworth, Marc H
Xie, Jamie
Yang, Heiko
Castro, Ethan A
Lu, Kevin L
Stohr, Bradley A
Feng, Felix Y
Carroll, Peter R
Wang, Bruce
Cooperberg, Matthew R
Shalek, Alex K
Huang, Franklin W
Song, Hanbing
Song, Hanbing
Weinstein, Hannah NW
Allegakoen, Paul
Wadsworth, Marc H
Xie, Jamie
Yang, Heiko
Castro, Ethan A
Lu, Kevin L
Stohr, Bradley A
Feng, Felix Y
Carroll, Peter R
Wang, Bruce
Cooperberg, Matthew R
Shalek, Alex K
Huang, Franklin W
Source :
Nature communications; vol 13, iss 1, 141; 2041-1723
Publication Year :
2022

Abstract

Prostate cancer is the second most common malignancy in men worldwide and consists of a mixture of tumor and non-tumor cell types. To characterize the prostate cancer tumor microenvironment, we perform single-cell RNA-sequencing on prostate biopsies, prostatectomy specimens, and patient-derived organoids from localized prostate cancer patients. We uncover heterogeneous cellular states in prostate epithelial cells marked by high androgen signaling states that are enriched in prostate cancer and identify a population of tumor-associated club cells that may be associated with prostate carcinogenesis. ERG-negative tumor cells, compared to ERG-positive cells, demonstrate shared heterogeneity with surrounding luminal epithelial cells and appear to give rise to common tumor microenvironment responses. Finally, we show that prostate epithelial organoids harbor tumor-associated epithelial cell states and are enriched with distinct cell types and states from their parent tissues. Our results provide diagnostically relevant insights and advance our understanding of the cellular states associated with prostate carcinogenesis.

Details

Database :
OAIster
Journal :
Nature communications; vol 13, iss 1, 141; 2041-1723
Notes :
application/pdf, Nature communications vol 13, iss 1, 141 2041-1723
Publication Type :
Electronic Resource
Accession number :
edsoai.on1367452797
Document Type :
Electronic Resource