4.7 Article

Impact of tumor-parenchyma biomechanics on liver metastatic progression: a multi-model approach

Journal

SCIENTIFIC REPORTS
Volume 11, Issue 1, Pages -

Publisher

NATURE RESEARCH
DOI: 10.1038/s41598-020-78780-7

Keywords

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Funding

  1. National Science Foundation [1720625]
  2. Breast Cancer Research Foundation
  3. Jayne Koskinas Ted Giovanis Foundation for Health and Policy
  4. National Cancer Institute [1R01CA180149, 1U01CA232137]
  5. Div Of Engineering Education and Centers
  6. Directorate For Engineering [1720625] Funding Source: National Science Foundation

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This study examines the biomechanical interactions between tumor and liver parenchyma during metastatic growth, using a multi-model approach. It investigates the role of these interactions in promoting liver metastasis and aims to identify conditions to clinically arrest and reverse the course of late-stage cancer.
Colorectal cancer and other cancers often metastasize to the liver in later stages of the disease, contributing significantly to patient death. While the biomechanical properties of the liver parenchyma (normal liver tissue) are known to affect tumor cell behavior in primary and metastatic tumors, the role of these properties in driving or inhibiting metastatic inception remains poorly understood, as are the longer-term multicellular dynamics. This study adopts a multi-model approach to study the dynamics of tumor-parenchyma biomechanical interactions during metastatic seeding and growth. We employ a detailed poroviscoelastic model of a liver lobule to study how micrometastases disrupt flow and pressure on short time scales. Results from short-time simulations in detailed single hepatic lobules motivate constitutive relations and biological hypotheses for a minimal agent-based model of metastatic growth in centimeter-scale tissue over months-long time scales. After a parameter space investigation, we find that the balance of basic tumor-parenchyma biomechanical interactions on shorter time scales (adhesion, repulsion, and elastic tissue deformation over minutes) and longer time scales (plastic tissue relaxation over hours) can explain a broad range of behaviors of micrometastases, without the need for complex molecular-scale signaling. These interactions may arrest the growth of micrometastases in a dormant state and prevent newly arriving cancer cells from establishing successful metastatic foci. Moreover, the simulations indicate ways in which dormant tumors could reawaken after changes in parenchymal tissue mechanical properties, as may arise during aging or following acute liver illness or injury. We conclude that the proposed modeling approach yields insight into the role of tumor-parenchyma biomechanics in promoting liver metastatic growth, and advances the longer term goal of identifying conditions to clinically arrest and reverse the course of late-stage cancer.

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