A resource-based mechanistic framework for castration-resistant prostate cancer (CRPC)

Area of Science:

• Cancer Ecology
• Mathematical Oncology
• Prostate Cancer Research

Background:

• Cancer therapies can eliminate sensitive cells, promoting resistant cell growth and tumour relapse.
• Castration-resistant prostate cancer (CRPC) exemplifies this, where resistant cells produce testosterone after androgen deprivation therapy (ADT), leading to regrowth.

Purpose of the Study:

• To develop a theoretical model for intra-tumour competition in CRPC, focusing on resource dynamics.
• To investigate how resource availability and utilization influence the steady-state composition of CRPC.

Main Methods:

• Utilized a modified logistic framework to model cell-cell interactions based on resource production and consumption.
• Analyzed the impact of oxygen and testosterone availability and utilization efficiency on CRPC dynamics.

Main Results:

• CRPC steady-state composition is a function of oxygen and testosterone availability and utilization efficiency.
• Resource abundance regimes (trace vs. high levels) differentially affect CRPC behavior, with testosterone having a distinct impact compared to oxygen.

Conclusions:

• Explicit consideration of resource dynamics offers novel mechanistic insights into CRPC.
• This modeling approach integrates clinically measurable variables, paving the way for CRPC therapies rooted in tumor ecology.