tugHall: a simulator of cancer-cell evolution based on the hallmarks of cancer and tumor-related genes.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
01 06 2020
Historique:
received: 02 07 2019
revised: 09 11 2019
accepted: 11 03 2020
pubmed: 15 3 2020
medline: 30 10 2020
entrez: 15 3 2020
Statut: ppublish

Résumé

The flood of recent cancer genomic data requires a coherent model that can sort out the findings to systematically explain clonal evolution and the resultant intra-tumor heterogeneity (ITH). Here, we present a new mathematical model designed to computationally simulate the evolution of cancer cells. The model connects the well-known hallmarks of cancer with the specific mutational states of tumor-related genes. The cell behavior phenotypes are stochastically determined, and the hallmarks probabilistically interfere with the phenotypic probabilities. In turn, the hallmark variables depend on the mutational states of tumor-related genes. Thus, our software can deepen our understanding of cancer-cell evolution and generation of ITH. The open-source code is available in the repository https://github.com/nagornovys/Cancer_cell_evolution. mamkato@ncc.go.jp. Supplementary data are available at Bioinformatics online.

Identifiants

pubmed: 32170925
pii: 5805387
doi: 10.1093/bioinformatics/btaa182
pmc: PMC7267821
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3597-3599

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press.

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Auteurs

Iurii S Nagornov (IS)

Department of Bioinformatics, Research Institute, National Cancer Center Japan, Tokyo 104-0045, Japan.

Mamoru Kato (M)

Department of Bioinformatics, Research Institute, National Cancer Center Japan, Tokyo 104-0045, Japan.

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Classifications MeSH