tugHall：基于癌症特征和肿瘤相关基因的癌症细胞进化模拟器。
tugHall: a simulator of cancer-cell evolution based on the hallmarks of cancer and tumor-related genes.
机构信息
Department of Bioinformatics, Research Institute, National Cancer Center Japan, Tokyo 104-0045, Japan.
出版信息
Bioinformatics. 2020 Jun 1;36(11):3597-3599. doi: 10.1093/bioinformatics/btaa182.
SUMMARY
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.
AVAILABILITY AND IMPLEMENTATION
The open-source code is available in the repository https://github.com/nagornovys/Cancer_cell_evolution.
CONTACT
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
摘要
最近癌症基因组数据的大量涌现需要一个连贯的模型，可以对研究结果进行分类，以系统地解释克隆进化和由此产生的肿瘤内异质性（ITH）。在这里，我们提出了一种新的数学模型，旨在通过计算来模拟癌细胞的进化。该模型将癌症的著名标志与肿瘤相关基因的特定突变状态联系起来。细胞行为表型是随机确定的，标志概率会干扰表型概率。反过来，标志变量取决于肿瘤相关基因的突变状态。因此，我们的软件可以加深我们对癌细胞进化和 ITH 产生的理解。
可用性和实现
可在 https://github.com/nagornovys/Cancer_cell_evolution 存储库中获得开源代码。
联系方式
补充信息
补充数据可在“Bioinformatics”在线获取。
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