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

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 orga...

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Autores principales: Song, Hanbing, Weinstein, Hannah N. W., 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748675/
https://www.ncbi.nlm.nih.gov/pubmed/35013146
http://dx.doi.org/10.1038/s41467-021-27322-4
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author Song, Hanbing
Weinstein, Hannah N. W.
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.
author_facet Song, Hanbing
Weinstein, Hannah N. W.
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.
author_sort Song, Hanbing
collection PubMed
description 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.
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spelling pubmed-87486752022-01-20 Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states Song, Hanbing Weinstein, Hannah N. W. 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. Nat Commun Article 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. Nature Publishing Group UK 2022-01-10 /pmc/articles/PMC8748675/ /pubmed/35013146 http://dx.doi.org/10.1038/s41467-021-27322-4 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Song, Hanbing
Weinstein, Hannah N. W.
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.
Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states
title Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states
title_full Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states
title_fullStr Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states
title_full_unstemmed Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states
title_short Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states
title_sort single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748675/
https://www.ncbi.nlm.nih.gov/pubmed/35013146
http://dx.doi.org/10.1038/s41467-021-27322-4
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