Defining cellular population dynamics at single-cell resolution during prostate cancer progression
- PMID: 36511483
- PMCID: PMC9747158
- DOI: 10.7554/eLife.79076
Defining cellular population dynamics at single-cell resolution during prostate cancer progression
Abstract
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 investigate prostate cancer cell dynamics at single-cell resolution from disease onset to the development of androgen independence in an in vivo murine model. We observe an 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 partially androgen responsive. Androgen-independent prostate cancer leads to significant diversification of intermediate luminal cell populations characterized by a range of androgen signaling activity, which is 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.
Keywords: PTEN; Single cell RNAseq; cancer biology; computational biology; epithelial cells; immune microenvironment; mRNA Translation; mouse; prostate cancer; systems biology.
Conflict of interest statement
AG, SA, YZ, EG, IC, AK, SW, HS, NB, RA, MZ, AL, YY, JB, RG, DR, FH, CG, PN, AS, MS, AH No competing interests declared
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References
-
- Allott EH, Masko EM, Freedland AR, Macias E, Pelton K, Solomon KR, Mostaghel EA, Thomas GV, Pizzo SV, Freeman MR, Freedland SJ. Serum cholesterol levels and tumor growth in a PTEN-null transgenic mouse model of prostate cancer. Prostate Cancer and Prostatic Diseases. 2018;21:196–203. doi: 10.1038/s41391-018-0045-x. - DOI - PMC - PubMed
-
- Alshetaiwi H, Pervolarakis N, McIntyre LL, Ma D, Nguyen Q, Rath JA, Nee K, Hernandez G, Evans K, Torosian L, Silva A, Walsh C, Kessenbrock K. Defining the emergence of myeloid-derived suppressor cells in breast cancer using single-cell transcriptomics. Science Immunology. 2020;5:eaay6017. doi: 10.1126/sciimmunol.aay6017. - DOI - PMC - PubMed
-
- Antoch MP, Wrobel M, Gillard B, Kuropatwinski KK, Toshkov I, Gleiberman AS, Karasik E, Moser MT, Foster BA, Andrianova EL, Chernova OV, Gudkov AV. Superior cancer preventive efficacy of low versus high dose of mTOR inhibitor in a mouse model of prostate cancer. Oncotarget. 2020;11:1373–1387. doi: 10.18632/oncotarget.27550. - DOI - PMC - PubMed
-
- Aran D, Looney AP, Liu L, Wu E, Fong V, Hsu A, Chak S, Naikawadi RP, Wolters PJ, Abate AR, Butte AJ, Bhattacharya M. Reference-Based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage. Nature Immunology. 2019;20:163–172. doi: 10.1038/s41590-018-0276-y. - DOI - PMC - PubMed
-
- Arora S. GermanosProstatescRNASeq. swh:1:rev:5a376d7b77d034e9bd09ce4787337ee33fda8448Software Heritage. 2022 https://archive.softwareheritage.org/swh:1:dir:e9938d1f7015d22d13d61d743...
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