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Updated: May 11, 2026
Analysis of Cancer Cell Invasion and Anti-metastatic Drug Screening Using Hydrogel Micro-chamber Array (HMCA)-based Plates
Published on: October 25, 2018
In silico modeling of cancer cell dissemination and metastasis
Lu-En Wai1, Vipin Narang, Alexandre Gouaillard
1Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Biopolis, Singapore.
Abstract:
Metastasis is the main cause of cancer-related death. It is surprising then that the exact nature of metastasis-the process by which cancer cells leave the primary tumor to reach distant organs, and resume proliferation-is not fully understood. Moreover, the different conditions under which the immune system can either promote or suppress metastasis are only now beginning to be uncovered. In recent years, our understanding of metastasis as a genocentric, cell-autonomous process has shifted toward a systemic model in which interactions between cancer cells and their surrounding microenvironments lead to dissemination and metastasis. In silico modeling of the various steps involved in metastasis can help provide an understanding of how tumor properties emerge from the complex interplays between tumor cells and their microenvironment. In silico models can also be useful in identifying the selective forces that favor the outcomes of cancer cells with metastatic potential.
Insights
Metastasis, the spread of cancer cells, remains poorly understood. New models explore how tumor microenvironments and immune interactions drive cancer cell dissemination and metastasis.
Area of Science:
- Oncology
- Cancer Biology
- Computational Biology
Background:
- Metastasis is the primary cause of cancer mortality, yet the underlying mechanisms are not fully elucidated.
- The role of the immune system in promoting or inhibiting metastasis is an emerging area of research.
- The paradigm is shifting from a cell-autonomous view of metastasis to a systemic model involving complex microenvironmental interactions.
Purpose of the Study:
- To explore the complex interplay between cancer cells and their microenvironment in metastasis.
- To understand how tumor properties emerge from these interactions.
- To identify selective pressures favoring metastatic cancer cell outgrowth.
Main Methods:
- Utilizing in silico modeling to simulate the various stages of metastasis.
- Analyzing the interactions between tumor cells and their surrounding microenvironment computationally.
- Investigating the influence of systemic factors on cancer cell dissemination.
Main Results:
- In silico models provide insights into the emergence of tumor properties.
- Computational approaches help understand the complex interplays driving metastasis.
- These models can identify evolutionary forces promoting metastatic potential.
Conclusions:
- A systemic model, incorporating microenvironmental interactions, is crucial for understanding metastasis.
- In silico modeling offers a powerful approach to dissect the complexities of cancer metastasis.
- Further research into these interactions can reveal new therapeutic targets.
