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esiCancer: Evolutionary In Silico Cancer Simulator.
Darlan Conterno Minussi1,2, Bernardo Henz3, Mariana Dos Santos Oliveira1,2
1Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
This study introduces esiCancer, a novel cancer evolution simulator. This open-source software models tumor development, aiding research into genomic alterations and cancer biology.
Area of Science:
- Computational Biology
- Cancer Research
- Evolutionary Biology
Background:
- Cancer evolution is typically studied using limited data points, offering incomplete insights.
- Understanding tumor progression requires modeling the dynamic, multi-generational changes in cell populations.
Purpose of the Study:
- To introduce esiCancer, an open-source software for simulating cancer evolution.
- To provide a platform for investigating factors influencing tumor development and cell fate.
Main Methods:
- Utilizes a branching process to simulate genomic events in a diploid oncogenome.
- Models changes in cell proliferation and death probabilities over hundreds of generations.
- Incorporates factors like gene interactions and the tumor microenvironment.
Main Results:
- Simulates gradual changes in cell fitness and the emergence of fast-growing populations.
- Generates outputs for reconstructing clonal composition and survival curves.
- Demonstrates the impact of various evolutionary factors on tumor progression.
Conclusions:
- esiCancer offers a customizable tool for modeling cancer evolution.
- The software facilitates the study of genomic alterations' effects on tumor cell fate.
- Provides a hands-on approach to understanding complex cancer biology dynamics.
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