A new study describes the effects of androgen status on the different cell types in mouse and human prostates, illustrating the potential of single-cell RNA sequencing to study specific biological processes in unprecedented detail. Translating these new insights into clinical use will increase precision and personalization of prostate cancer treatment.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Gleason, D. F. & Mellinger, G. T. Prediction of prognosis for prostatic adenocarcinoma by combined histological grading and clinical staging. J. Urol. 111, 58–64 (1974).
Epstein, J. I. et al. The 2014 International Society of Urological Pathology (ISUP) consensus conference on Gleason grading of prostatic carcinoma: definition of grading patterns and proposal for a new grading system. Am. J. Surg. Pathol. 40, 244–252 (2016).
Rane, J. K., Droop, A. P. & Maitland, N. J. A detailed analysis of gene expression in human basal, luminal, and stromal cell populations from benign prostatic hyperplasia tissues and comparisons with cultured basal cells. Eur. Urol. 72, 157–159 (2017).
Berglund, E. et al. Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity. Nat. Commun. 9, 2419 (2018).
Henry, G. H. et al. A cellular anatomy of the normal adult human prostate and prostatic urethra. Cell Rep. 25, 3530–3542 (2018).
Barros-Silva, J. D. et al. Single-cell analysis identifies LY6D as a marker linking castration-resistant prostate luminal cells to prostate progenitors and cancer. Cell Rep. 25, 3504–3518 (2018).
Karthaus, W. R. et al. Regenerative potential of prostate luminal cells revealed by single-cell analysis. Science 368, 497–505 (2020).
Cunha, G. R. et al. The endocrinology and developmental biology of the prostate. Endocr. Rev. 8, 338–362 (1987).
Van den Broeck, T. et al. Validation of the decipher test for predicting distant metastatic recurrence in men with high-risk nonmetastatic prostate cancer 10 years after surgery. Eur. Urol. Oncol. 2, 589–596 (2019).
Karnes, R. J. et al. Development and validation of a prostate cancer genomic signature that predicts early ADT treatment response following radical prostatectomy. Clin. Cancer Res. 24, 3908–3916 (2018).
Acknowledgements
The authors thank the members of the Molecular Endocrinology Laboratory of KU Leuven for critically reviewing the manuscript.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Rights and permissions
About this article
Cite this article
Devlies, W., Claessens, F. Tracking prostate cancer development at the single-cell level. Nat Rev Urol 17, 545–546 (2020). https://doi.org/10.1038/s41585-020-0358-0
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41585-020-0358-0
