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Updated: Jan 17, 2026

A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
Published on: March 6, 2018
Identifying potential therapeutic targets for prostate cancer with mediating role in tumor immunity
Zhechun Wu1,2, Sihan Li3, Yuqing Li1,2
1Department of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Background:
Prostate cancer (PCa) is a leading malignancy with a rising global incidence, posing significant challenges in treatment. The immunosuppressive tumor microenvironment (TME) in castration-resistant prostate cancer (CRPC) is a major barrier to effective immunotherapy. Identifying therapeutic targets that modulate the immune response within TME is crucial for advancing PCa treatment.
Materials And Methods:
In this study, we employed Mendelian randomization (MR) to investigate the causal relationships between gene expression of blood proteins and PCa risk. We utilized cis-eQTL data from the eQTLGen Consortium and immune cell phenotype data from the NHGRI-EBI GWAS Catalog. Our analysis included primary and secondary cohorts, totaling over 800,000 individuals. Colocalization analysis was performed to confirm the genetic associations, and mediation MR analysis was used to explore the mediating role of proteins in tumor immunity. Drug prediction and molecular docking were applied to assess the potential of identified targets as druggable candidates.
Results:
Our MR analysis identified 557 proteins associated with PCa in the primary cohort, with 85 proteins remaining significant in another independent cohort. Mediation analysis revealed nine proteins that mediated the impact of immune cells on PCa. Colocalization analysis confirmed the causality of five proteins, which were further supported by phenome-wide association studies (PheWAS) and protein-protein interaction (PPI) networks. Molecular docking demonstrated strong binding affinity of potential drugs to these targets.
Conclusions:
This study identified five drug targets in prostate cancer that modulate the tumor immune response. These targets may expedite drug development and personalize medicine, potentially enhancing treatment efficacy and reducing side effects.
Insights
This study identifies five key drug targets that can modulate the immune response in prostate cancer (PCa). These findings may accelerate the development of new immunotherapies for castration-resistant prostate cancer (CRPC).
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- Prostate cancer (PCa) incidence is rising globally, presenting treatment challenges.
- The immunosuppressive tumor microenvironment (TME) in castration-resistant prostate cancer (CRPC) hinders effective immunotherapy.
- Identifying targets to modulate TME immune response is critical for advancing PCa treatment.
Purpose of the Study:
- To investigate causal relationships between blood protein gene expression and PCa risk using Mendelian randomization (MR).
- To identify proteins that mediate the immune cell impact on PCa development within the TME.
- To assess the druggability of identified protein targets for potential therapeutic intervention.
Main Methods:
- Utilized cis-eQTL data from eQTLGen Consortium and GWAS data for immune cell phenotypes.
- Performed Mendelian randomization (MR) analysis on primary and secondary cohorts (>800,000 individuals).
- Employed colocalization, mediation MR, drug prediction, and molecular docking analyses.
Main Results:
- Identified 557 proteins associated with PCa; 85 were significant in an independent cohort.
- Nine proteins were found to mediate the effect of immune cells on PCa.
- Five proteins confirmed by colocalization, PheWAS, and PPI networks showed drug binding potential.
Conclusions:
- Identified five novel drug targets in prostate cancer that modulate the tumor immune response.
- These targets hold promise for expediting drug development and personalizing PCa treatments.
- Potential to enhance treatment efficacy and reduce side effects in prostate cancer patients.
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