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Modelling tumour cell proliferation from vascular structure using tissue decomposition into avascular elements.

Maximilian O Besenhard1, Monika Jarzabek2, Alice C O'Farrell2

  • 1Centre for Systems Medicine and Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin 2, Ireland; Research Centre Pharmaceutical Engineering (RCPE) GmbH, Inffeldgasse 13, 8010 Graz, Austria.

Journal of Theoretical Biology
|May 8, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a novel computational method to model tumor growth and nutrient dependency. Heterogeneous vascular networks increase tumor proliferation and cell death, suggesting higher malignancy.

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Area of Science:

  • Computational biology
  • Cancer research
  • Tumor microenvironment modeling

Background:

  • Computer models enable detailed study of tumor proliferation and nutrient dependence.
  • Studying large vascular tumors computationally is challenging due to complex geometries and long computation times.

Purpose of the Study:

  • To develop a computational method for rapidly analyzing tumor cell proliferation and nutrient exchange in vascularized tissues.
  • To investigate the impact of vascular network complexity and distribution on tumor growth dynamics.

Main Methods:

  • Partitioning vascularized tissue into connected avascular elements for cell and nutrient exchange.
  • Rapid calculation of proliferating, dead, and quiescent cell populations and proliferative index.
  • Application of the model to simulate tumor growth under varying vascularization patterns.

Main Results:

  • Heterogeneous vessel distribution leads to a higher proliferative index and increased dead cells compared to homogeneous distribution.
  • Under specific conditions, decreased vessel density can initially increase proliferation due to compensatory mechanisms, followed by a decrease.
  • Findings were validated using an ectopic colorectal cancer mouse xenograft model.

Conclusions:

  • The developed computational approach enables efficient analysis of tumor proliferation dynamics.
  • Vascular heterogeneity is a significant factor influencing tumor malignancy and cell death.
  • The model has potential applications in studying chemotherapy effects and advancing translational systems biology.