Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Nov 15;30(22):5218-5230.
doi: 10.1158/1078-0432.CCR-24-0060.

Androgen Deprivation Therapy Drives a Distinct Immune Phenotype in Localized Prostate Cancer

Affiliations

Androgen Deprivation Therapy Drives a Distinct Immune Phenotype in Localized Prostate Cancer

Matthew C Dallos et al. Clin Cancer Res. .

Abstract

Purpose: Androgen deprivation therapy (ADT) remains the backbone of prostate cancer treatment. Beyond the suppression of testosterone and tumor cell growth, emerging evidence suggests that ADT also modulates the immune tumor microenvironment. However, a more precise understanding of the timing and intricacies of these immunologic shifts is needed.

Experimental design: In this study, we analyzed 49 primary prostate cancers, comparing those surgically removed either without treatment or following treatment with degarelix at 4, 7, and 14 days before surgery. Utilizing next-generation DNA and RNA sequencing and multiplexed immunofluorescence, we examined alterations in immune phenotypes in the presence or absence of ADT.

Results: Our findings reveal that ADT rapidly transforms the typically bland prostate tumor microenvironment into an inflamed environment within days. Notably, we observed an increase in activated CD8 T cells along with an increase in suppressive regulatory T cells (Treg). We also found an expansion of the myeloid compartment, particularly proinflammatory M1-like tumor-associated macrophages. Intriguingly, discernable changes which have not previously been described also occurred in tumor cells, including upregulation of antigen presentation by MHC classes I and II and, unexpectedly, a decrease in the "do not eat me" signal CD47.

Conclusions: These observations underscore the critical role of timing and disease context in order to optimize the therapeutic efficacy of immune modulators combined with androgen ablation, for which the presurgical neoadjuvant setting may be ideal. Our findings warrant future prospective validation, which is currently underway.

PubMed Disclaimer

Conflict of interest statement

This study was supported by the Prostate Cancer Foundation Grant No. 19YOUN27 and the Weill Cornell Medicine SPORE Developmental Research Program Grant No. 1P50CA211024-01A1 (P50), Memorial Sloan Kettering Cancer Center NIH SPORE Grant No. P50-CA92629, Memorial Sloan Kettering Cancer Center NIH/NCI Cancer Center Support Grant No. P30 CA008748, Johns Hopkins NIH SPORE Grant No. P50-CA58236, Johns Hopkins NIH/NCI Cancer Center Support Grant No. P30 CA0006973, and U.S. Department of Defense Prostate Cancer Research Program (PCRP) Prostate Cancer Biospecimen Network Site Grant No. W81XWH-18-2-0015.

M.C. Dallos serves as a paid consultant for Bayer, Bristol-Myers Squibb, and Sanofi outside the submitted work, and has received research funding from Bristol-Myers Squibb and Novartis. D.H. Aggen reports other from Boehringer Ingelheim outside the submitted work, as well as a University of Illinois-issued patent, licensed, and with royalties paid from AbbVie. K. A. Autio reports grants from Merck Sharp & Dohme Corp., a subsidiary of Merck & Co Inc., Kenilworth, NJ, USA, GSK, Pfizer, Eli Lilly, Amgen, and AstraZeneca. A.M. De Marzo serves as consultant for Cepheid Inc., receives sponsored research funding from Janssen R&D Inc., and serves as a consultant to Merck Inc. E.S. Antonarakis reports grants from Janssen, Johnson & Johnson, Sanofi, Bristol Myers Squibb, Pfizer, AstraZeneca, Novartis, Curium, Constellation, ESSA, Celgene, Merck, Bayer, and Clovis; personal fees from Janssen, Astellas, Sanofi, Dendreon, Bayer, Bristol Myers Squibb, Amgen, ESSA, Constellation, Blue Earth, Exact Sciences, Invitae, Curium, Pfizer, Merck, AstraZeneca, Clovis, and Eli Lilly; and is a co-inventor of patented AR-V7 technology that has been licensed to Qiagen. H.I. Scher reports personal fees from Asterias Biotherapeutics, Bayer, Pfizer Inc., Sun Pharmaceuticals Industries Inc., and WCG; non-financial support from Amgen, ESSA Pharma Inc., Janssen Research & Development LLC, Janssen Biotech Inc., and Menarini Silicon Biosystems; and grants from Epic Sciences, Illumina Inc., Janssen, Menarini Silicon Biosystems, and Thermo Fisher Scientific outside the submitted work; in addition, H.I. Scher has a patent 10,736,972 issued and licensed to Elucida Oncology, a patent for 16/463,865 pending and licensed to Elucida Oncology, and a patent for 16/769,501 pending and licensed to Elucida Oncology. C.G. Drake is an employee of Janssen Oncology. D.E. Rathkopf reports non-financial support from Janssen (uncompensated consultant, PI clinical trials), grants from Genentech (Stand Up to Cancer-Genentech Catalyst Research Award), and non-financial support from Taiho (PI, clinical trial), Tracon (PI, clinical trial), Myovant (uncompensated consultant), Bayer (uncompensated consultant), AstraZeneca (uncompensated consultant), Celgene (PI, clinical trial), Phosplatin Therapeutics (PI, clinical trial), and Roivant (uncompensated consultant). No disclosures were reported by the other authors.

Figures

Figure 1.
Figure 1.
Schema and somatic molecular alterations. A, Schema depicting treatment and timing of degarelix administration prior to radical prostatectomy. B, Co-mutation plot with tumor mutational profiles in untreated and post-ADT samples.
Figure 2.
Figure 2.
Transcriptomic changes following ADT in primary prostate tumors over time show enrichment of immune-related pathways. A, Hierarchical plot of enriched Gene Ontology (GO) processes in degarelix-treated vs untreated patients by log-fold-change ranked gene set enrichment. Image is thresholded to GO sets with enrichment p-value <10e-9. Lines depict relationships between pathways in the GO plot. B, Heatmap of differential expression of immune-related genes by functional group in degarelix treated and untreated specimens. Timing of degarelix administration also depicted with untreated (red) and degarelix treatment either 4 days (green), 7 days (blue), or 14 days (purple) prior to radical prostatectomy. C, Boxplots of normalized T cell gene expression (CD8, CD4), macrophage gene expression (CD68, CD163), immune checkpoint gene expression (CTLA4, PDCD1), antigen presentation gene expression including MHC Class I (B2M) and II (CD74) by treatment group. Statistical comparisons were performed by t-test with Bonferroni multiple-testing correction, such that * indicates p<0.05, ** indicates p<0.01, and *** indicates p<0.005. D, Tumor Inflammation Score (TIS) by treatment group. E, Boxplots of CIBERSORT-inferred Total Immune Cell Infiltrate by treatment group. P-values were obtained by t-test, where ** indicates p<0.01.
Figure 3.
Figure 3.
ADT increases MHC Class II and decreases CD47+ expression on tumor cells with a concurrent increase in the immune cell infiltrate. A, Representative multiplexed immunofluorescence image for markers of interest including AMACR (red), CD3 (yellow), CD68 (cyan), CTLA-4 (magenta), CD47 (green), CD74 (orange). B, Side-by-side comparison of representative images from untreated (red) versus degarelix-treated patients (blue). C, Boxplots of immunofluorescent cell count frequencies between treatment groups, showing treatment-induced increase in frequency of CD3+ T-cells, CD3+/CTLA4+ T-cells, and AMACR+/CD74+ tumor cells, along with decrease in AMACR+CD47+ tumor cells and CD68+CD74+ macrophages. Count frequencies for each cell type between treatment groups was assessed by Fisher’s exact test with Bonferroni multiple-testing correction, such that * indicates p<0.05 and *** indicates p<0.005
Figure 4.
Figure 4.
ADT induces a robust T cell and pro-inflammatory macrophage infiltrate with upregulation of antigen-presenting machinery. A, Composite sample image by CODEX showing marker expression including PSMA (red), pan-cytokeratin (cyan), CD163 (yellow), CD68 (grey), and CD3e (green); cell phenotyping including B-cells, cytotoxic T-cells, endothelial cells, epithelial cells, Tregs, activated cytotoxic T-cells, M1 and M2 macrophages, T helper cells, and tumor cells, with heatmap showing mean marker expression per cell type. Representative images in treated and untreated samples with boxplots shown for B, Overall T-cells (CD3e) and macrophages (CD68+), C, CD8 T-cells (CD8+) and activated CD8 T-cells (GranzymeB+CD8+), D, CD4 T-cells (CD4+), Tregs (CD4+FoxP3+), E, M1-like macrophages (CD68+CD163-CD206-) and M2-like macrophages (CD68+CD163+CD206+) and F, tumor cell expression of MHC-I (PSMA+HLA-A+) and MHC-II (PSMA+HLA-DR+).

Comment in

Similar articles

Cited by

References

    1. Sharma P, Pachynski RK, Narayan V, Flechon A, Gravis G, Galsky MD et al. Initial results from a phase II study of nivolumab (NIVO) plus ipilimumab (IPI) for the treatment of metastatic castration-resistant prostate cancer (mCRPC; CheckMate 650). Journal of Clinical Oncology 2019; 37: 142–142.
    1. Fizazi K, Drake CG, Beer TM, Kwon ED, Scher HI, Gerritsen WR et al. Final Analysis of the Ipilimumab Versus Placebo Following Radiotherapy Phase III Trial in Postdocetaxel Metastatic Castration-resistant Prostate Cancer Identifies an Excess of Long-term Survivors. Eur Urol 2020; 78: 822–830. - PMC - PubMed
    1. Zhao SG, Lehrer J, Chang SL, Das R, Erho N, Liu Y et al. The Immune Landscape of Prostate Cancer and Nomination of PD-L2 as a Potential Therapeutic Target. J Natl Cancer Inst 2019; 111: 301–310. - PubMed
    1. Chen PL, Roh W, Reuben A, Cooper ZA, Spencer CN, Prieto PA et al. Analysis of Immune Signatures in Longitudinal Tumor Samples Yields Insight into Biomarkers of Response and Mechanisms of Resistance to Immune Checkpoint Blockade. Cancer Discov 2016; 6: 827–837. - PMC - PubMed
    1. Teng MW, Ngiow SF, Ribas A, Smyth MJ. Classifying Cancers Based on T-cell Infiltration and PD-L1. Cancer Res 2015; 75: 2139–2145. - PMC - PubMed

MeSH terms

Substances