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Development and Application of an Agent-Based Model for the Simulation of the Extravasation Process of Circulating Tumor Cells.

Kay M SchneiderKlaudia GiehlStephan A Baeurle
Published in: International journal for numerical methods in biomedical engineering (2023)
The primary cause for cancer-related death is metastasis, and although this phenomenon is the hallmark of cancer, it remains poorly understood. Since studies on the underlying mechanisms are still demanding by experimental means prognostic tools based on computer models can be of great value, not only for elucidating metastasis formation but also for assessing the prospective benefits as well as risks of a therapy for patients with advanced cancer. Here, we present an agent-based model (ABM), describing the complete process of platelet-assisted extravasation of circulating tumor cells (CTCs) from the chemoattraction of blood platelets by the CTCs up to the embedding of the CTCs in the epithelial tissue by computational means. From the simulation results, we conclude that the ABM produces results in consistency with experimental observations, which opens new perspectives for the development of computer models for predicting the efficacity of drug-based tumor therapies and assisting precision medicine approaches. This article is protected by copyright. All rights reserved.
Keyphrases
  • circulating tumor cells
  • advanced cancer
  • palliative care
  • circulating tumor
  • deep learning
  • papillary thyroid
  • squamous cell carcinoma
  • virtual reality
  • squamous cell
  • machine learning
  • young adults
  • red blood cell