TY - JOUR
T1 - The immune landscape of prostate cancer and nomination of PD-L2 as a potential therapeutic target
AU - Zhao, Shuang G.
AU - Lehrer, Jonathan
AU - Chang, S. Laura
AU - Das, Rajdeep
AU - Erho, Nicholas
AU - Liu, Yang
AU - Sjöström, Martin
AU - Den, Robert B.
AU - Freedland, Stephen J.
AU - Klein, Eric A.
AU - Karnes, R. Jeffrey
AU - Schaeffer, Edward M.
AU - Xu, Melody
AU - Speers, Corey
AU - Nguyen, Paul L.
AU - Ross, Ashley E.
AU - Chan, June M.
AU - Cooperberg, Matthew R.
AU - Carroll, Peter R.
AU - Davicioni, Elai
AU - Fong, Lawrence
AU - Spratt, Daniel E.
AU - Feng, Felix Y.
N1 - Funding Information:
This research was supported by a Prostate Cancer Foundation Young Investigator Award to SGZ, and a Prostate Cancer Challenge Grant to FYF.
Publisher Copyright:
© The Author(s) 2018. Published by Oxford University Press. All rights reserved.
PY - 2019/3/1
Y1 - 2019/3/1
N2 - Background: Immunotherapy has been less successful in treating prostate cancer than other solid tumors. We sought to better understand the immune landscape in prostate cancer and identify immune-related biomarkers and potential therapeutic targets. Methods: We analyzed gene expression data from 7826 prospectively collected prostatectomy samples (2013-2016), and 1567 retrospective samples with long-term clinical outcomes, for a total of 9393 samples, all profiled on the same commercial clinical platform in a CLIA-certified lab. The primary outcome was distant metastasis-free survival (DMFS). Secondary outcomes included biochemical recurrence-free survival (bRFS), prostate cancer-specific survival (PCSS), and overall survival (OS). All statistical tests were two-sided. Results: Unsupervised hierarchical clustering of hallmark pathways demonstrated an immune-related tumor cluster. Increased estimated immune content scores based on immune-specific genes from the literature were associated with worse bRFS (hazard ratio [HR]=1.26 [95% confidence interval [CI]=1.12 to 1.42]; P<.001), DMFS (HR=1.34 [95% CI=1.13 to 1.58]; P<.001), PCSS (HR=1.53 [95% CI=1.21 to 1.92]; P<.001), and OS (HR=1.27 [95% CI=1.07 to 1.50]; P=.006). Deconvolution using Cibersort revealed that mast cells, natural killer cells, and dendritic cells conferred improved DMFS, whereas macrophages and T-cells conferred worse DMFS. Interestingly, while PD-L1 was not prognostic, consistent with its low expression in prostate cancer, PD-L2 was expressed at statistically significantly higher levels (P<.001) and was associated with worse bRFS (HR=1.17 [95% CI=1.03 to 1.33]; P=.01), DMFS (HR=1.25 [95% CI=1.05 to 1.49]; P=.01), and PCSS (HR=1.45 [95% CI=1.13 to 1.86]; P=.003). PD-L2 was strongly associated with immune-related pathways on gene set enrichment analysis suggesting that it is playing an important role in immune modulation in clinical prostate cancer samples. Furthermore, PD-L2 was correlated with radiation response pathways, and also predicted response to postoperative radiation therapy (PORT) on multivariable interaction analysis (P = .03). Conclusion: In the largest study of its kind to date, these results illustrate the complex relationship between the tumorimmune interaction, prognosis, and response to radiotherapy, and nominate PD-L2 as a potential novel therapeutic target in prostate cancer, potentially in combination with radiotherapy.
AB - Background: Immunotherapy has been less successful in treating prostate cancer than other solid tumors. We sought to better understand the immune landscape in prostate cancer and identify immune-related biomarkers and potential therapeutic targets. Methods: We analyzed gene expression data from 7826 prospectively collected prostatectomy samples (2013-2016), and 1567 retrospective samples with long-term clinical outcomes, for a total of 9393 samples, all profiled on the same commercial clinical platform in a CLIA-certified lab. The primary outcome was distant metastasis-free survival (DMFS). Secondary outcomes included biochemical recurrence-free survival (bRFS), prostate cancer-specific survival (PCSS), and overall survival (OS). All statistical tests were two-sided. Results: Unsupervised hierarchical clustering of hallmark pathways demonstrated an immune-related tumor cluster. Increased estimated immune content scores based on immune-specific genes from the literature were associated with worse bRFS (hazard ratio [HR]=1.26 [95% confidence interval [CI]=1.12 to 1.42]; P<.001), DMFS (HR=1.34 [95% CI=1.13 to 1.58]; P<.001), PCSS (HR=1.53 [95% CI=1.21 to 1.92]; P<.001), and OS (HR=1.27 [95% CI=1.07 to 1.50]; P=.006). Deconvolution using Cibersort revealed that mast cells, natural killer cells, and dendritic cells conferred improved DMFS, whereas macrophages and T-cells conferred worse DMFS. Interestingly, while PD-L1 was not prognostic, consistent with its low expression in prostate cancer, PD-L2 was expressed at statistically significantly higher levels (P<.001) and was associated with worse bRFS (HR=1.17 [95% CI=1.03 to 1.33]; P=.01), DMFS (HR=1.25 [95% CI=1.05 to 1.49]; P=.01), and PCSS (HR=1.45 [95% CI=1.13 to 1.86]; P=.003). PD-L2 was strongly associated with immune-related pathways on gene set enrichment analysis suggesting that it is playing an important role in immune modulation in clinical prostate cancer samples. Furthermore, PD-L2 was correlated with radiation response pathways, and also predicted response to postoperative radiation therapy (PORT) on multivariable interaction analysis (P = .03). Conclusion: In the largest study of its kind to date, these results illustrate the complex relationship between the tumorimmune interaction, prognosis, and response to radiotherapy, and nominate PD-L2 as a potential novel therapeutic target in prostate cancer, potentially in combination with radiotherapy.
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U2 - 10.1093/jnci/djy141
DO - 10.1093/jnci/djy141
M3 - Article
C2 - 30321406
AN - SCOPUS:85057417725
SN - 0027-8874
VL - 111
SP - 301
EP - 310
JO - Journal of the National Cancer Institute
JF - Journal of the National Cancer Institute
IS - 3
ER -