Multicellular model of neuroblastoma proposes unconventional therapy based on multiple roles of p53

Kenneth Y Wertheim1,2,3,4, Robert Chisholm2, Paul Richmond2

  • 1Insigneo Institute for in Silico Medicine, University of Sheffield, Sheffield, United Kingdom.

Plos Computational Biology
|December 23, 2024
PubMed

Insights

We developed a novel multicellular model to simulate neuroblastoma tumor growth and drug responses. This model reveals conditions favoring MYCN-amplified tumors and suggests a new therapeutic strategy involving p53 modulation.

Area of Science:

  • Computational Biology and Oncology
  • Pediatric Cancer Research
  • Systems Biology

Background:

  • Neuroblastoma is a common pediatric cancer with poor prognosis in high-risk cases.
  • MYCN amplification is critical in neuroblastoma, but its mechanistic role requires further elucidation.
  • Current treatments often fail, necessitating novel therapeutic strategies.

Purpose of the Study:

  • To develop and utilize a sophisticated multicellular model for simulating neuroblastoma dynamics.
  • To investigate the growth conditions and drug responses of MYCN-amplified neuroblastoma clones.
  • To identify potential new therapeutic strategies based on simulation insights.

Main Methods:

  • A multicellular model integrating a continuous automaton for the microenvironment, discrete cell agents with stochastic behaviors, and a center-based mechanical model.
  • Stochastic simulation algorithm implemented on GPUs to model over one million neuroblastoma cells.
  • Simulation of 1200 heterogeneous tumors, tracking MYCN-amplified clones and testing 5000 drug combinations.

Main Results:

  • Identified key factors influencing the growth advantage of MYCN-amplified clones within the tumor microenvironment.
  • Revealed interdependencies between MYCN-amplified clone dynamics, gene expression, other tumor clones, and the microenvironment.
  • Generated results consistent with existing literature while providing novel mechanistic insights.

Conclusions:

  • Proposed a hypothesis of two distinct neuroblastoma cell populations with opposing p53 protein roles (pro-survival vs. pro-apoptosis).
  • Suggested a novel therapeutic strategy involving alternating inhibition of MDM2 and ARF to modulate p53 activity.
  • The developed multicellular model offers modularity, high resolution, and scalability, serving as a foundation for patient-specific digital twins.

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