Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Defining cellular population dynamics at single cell resolution during prostate cancer progression

Alexandre A. Germanos, Sonali Arora, Ye Zheng, Erica T. Goddard, Ilsa M. Coleman, Anson T. Ku, Scott Wilkinson, Robert A. Amezquita, Michael Zager, Annalysa Long, Yu Chi Yang, Jason H. Bielas, Raphael Gottardo, Cyrus M. Ghajar, Peter S. Nelson, Adam G. Sowalsky, Manu Setty, Andrew C. Hsieh
doi: https://doi.org/10.1101/2022.03.02.482711
Alexandre A. Germanos
1Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
2University of Washington Molecular and Cellular Biology Program, Seattle, WA 98195
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sonali Arora
1Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ye Zheng
3Division of Vaccine and infectious Diseases, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Erica T. Goddard
4Division of Public Health Sciences, Translational Research Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ilsa M. Coleman
1Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anson T. Ku
5Laboratory of Genitourinary Cancer Pathogenesis, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Scott Wilkinson
5Laboratory of Genitourinary Cancer Pathogenesis, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert A. Amezquita
3Division of Vaccine and infectious Diseases, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael Zager
6Center for Data Visualization, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Annalysa Long
4Division of Public Health Sciences, Translational Research Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yu Chi Yang
1Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jason H. Bielas
4Division of Public Health Sciences, Translational Research Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Raphael Gottardo
3Division of Vaccine and infectious Diseases, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
4Division of Public Health Sciences, Translational Research Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Cyrus M. Ghajar
1Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
4Division of Public Health Sciences, Translational Research Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Peter S. Nelson
1Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
7University of Washington Departments of Medicine and Genome Sciences, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Adam G. Sowalsky
6Center for Data Visualization, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Manu Setty
8Translational Data Science Integrated Research Center, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
9Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andrew C. Hsieh
1Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
7University of Washington Departments of Medicine and Genome Sciences, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: [email protected]
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Summary

Advanced prostate malignancies are a leading cause of cancer-related deaths in men, in large part due to our incomplete understanding of cellular drivers of disease progression. We investigated prostate cancer cell dynamics at single-cell resolution from disease onset to the development of androgen independence in vivo. We observe a dramatic expansion of a castration-resistant intermediate luminal cell type that correlates with treatment resistance and poor prognosis in human patients. Moreover, transformed epithelial cells and associated fibroblasts create a microenvironment conducive to pro-tumorigenic immune infiltration, which is in part androgen responsive. Androgen independent prostate cancer leads to significant diversification of intermediate luminal cell populations characterized by a range of androgen signaling activity inversely correlated with proliferation and mRNA translation. Accordingly, distinct epithelial populations are exquisitely sensitive to translation inhibition which leads to epithelial cell death, loss of pro-tumorigenic signaling, and decreased tumor heterogeneity. Our findings reveal a complex tumor environment largely dominated by castration-resistant luminal cells and immunosuppressive infiltrates.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted March 04, 2022.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Defining cellular population dynamics at single cell resolution during prostate cancer progression
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Defining cellular population dynamics at single cell resolution during prostate cancer progression
Alexandre A. Germanos, Sonali Arora, Ye Zheng, Erica T. Goddard, Ilsa M. Coleman, Anson T. Ku, Scott Wilkinson, Robert A. Amezquita, Michael Zager, Annalysa Long, Yu Chi Yang, Jason H. Bielas, Raphael Gottardo, Cyrus M. Ghajar, Peter S. Nelson, Adam G. Sowalsky, Manu Setty, Andrew C. Hsieh
bioRxiv 2022.03.02.482711; doi: https://doi.org/10.1101/2022.03.02.482711
Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Defining cellular population dynamics at single cell resolution during prostate cancer progression
Alexandre A. Germanos, Sonali Arora, Ye Zheng, Erica T. Goddard, Ilsa M. Coleman, Anson T. Ku, Scott Wilkinson, Robert A. Amezquita, Michael Zager, Annalysa Long, Yu Chi Yang, Jason H. Bielas, Raphael Gottardo, Cyrus M. Ghajar, Peter S. Nelson, Adam G. Sowalsky, Manu Setty, Andrew C. Hsieh
bioRxiv 2022.03.02.482711; doi: https://doi.org/10.1101/2022.03.02.482711

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Cancer Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (6053)
  • Biochemistry (13760)
  • Bioengineering (10495)
  • Bioinformatics (33326)
  • Biophysics (17188)
  • Cancer Biology (14260)
  • Cell Biology (20208)
  • Clinical Trials (138)
  • Developmental Biology (10908)
  • Ecology (16087)
  • Epidemiology (2067)
  • Evolutionary Biology (20408)
  • Genetics (13447)
  • Genomics (18698)
  • Immunology (13827)
  • Microbiology (32271)
  • Molecular Biology (13428)
  • Neuroscience (70320)
  • Paleontology (528)
  • Pathology (2208)
  • Pharmacology and Toxicology (3757)
  • Physiology (5913)
  • Plant Biology (12064)
  • Scientific Communication and Education (1819)
  • Synthetic Biology (3380)
  • Systems Biology (8189)
  • Zoology (1848)