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Systematically understanding the immunity leading to CRPC progression.

Zhiwei Ji1, Weiling Zhao1, Hui-Kuan Lin2

  • 1School of Biomedical Informatics, The University of Texas Health science center at Houston, Houston, Texas, United States of America.

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Androgen deprivation therapy resistance in prostate cancer (PCa) is linked to immune microenvironment changes. A new model reveals key factors driving immunosuppression, offering insights into optimal treatment strategies for castration-resistant PCa (CRPC).

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Area of Science:

  • Oncology
  • Computational Biology
  • Immunology

Background:

  • Prostate cancer (PCa) is a leading cause of cancer death in men.
  • Androgen deprivation therapy (ADT) is standard for advanced PCa, but resistance (CRPC) develops.
  • Immune microenvironment changes during ADT may drive CRPC progression, but the role of immunity is unclear.

Purpose of the Study:

  • To systematically understand the immunity driving CRPC progression.
  • To predict optimal treatment strategies for PCa in silico.
  • To investigate the role of the immune system in ADT resistance.

Main Methods:

  • Development of a 3D Hybrid Multi-scale Model (HMSM).
  • The HMSM integrates an Ordinary Differential Equations (ODE) system and an Agent-Based Model (ABM).
  • The model simulates tumor growth within a defined immune system.

Main Results:

  • Identified key factors (WNT5A, TRAIL, CSF1) mediating PC-Treg and PC-TAM interactions.
  • Revealed these interactions induce immunosuppression during CRPC progression.
  • The HMSM predicted an optimal therapeutic strategy for improved PCa treatment outcomes.

Conclusions:

  • Immune microenvironment modulation is critical in CRPC development.
  • Specific molecular pathways significantly contribute to ADT resistance.
  • Computational modeling offers a powerful tool for predicting therapeutic strategies in prostate cancer.