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相关概念视频

Tumor Progression02:07

Tumor Progression

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Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
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相关实验视频

Updated: Jul 4, 2025

Comparative Lesions Analysis Through a Targeted Sequencing Approach
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一个新的多尺度框架,用于从亚克隆组合划分癌症进化.

Zhihao Yao1, Suoqin Jin2, Fuling Zhou3

  • 1School of Mathematics and Statistics, Wuhan University, Wuhan, 430072, Hubei Province, China; Department of Microbiology, Oslo University Hospital and University of Oslo, Oslo, 0372, Oslo, Norway; Department of Clinical Molecular Biology (EpiGen), Akershus University Hospital and University of Oslo, Lørenskog, 1474, Viken, Norway.

Journal of theoretical biology
|February 2, 2024
PubMed
概括

这项研究引入了一个新的多尺度框架,将癌症生长模式与细胞进化联系起来. 研究结果显示,初始亚克隆组成可以准确预测各种癌症生长动态.

关键词:
癌症的演变 癌症的演变癌症异质性的异质性机器学习是机器学习.多尺度建模的多尺度建模

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Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions
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Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions

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科学领域:

  • 在瘤学瘤学.
  • 计算生物学 计算生物学
  • 系统生物学 系统生物学

背景情况:

  • 癌症的演变是异质的,因此很难从短期数据中预测长期结果.
  • 了解人口动态和细胞进化之间的关系对于癌症研究至关重要.

研究的目的:

  • 开发一种新的多尺度框架,将癌症种群动态 (侵略性,有限性,惰性) 与细胞亚克隆进化联系起来.
  • 将基于普通微分方程 (ODE) 的人口模型与细胞进化模型联系起来.

主要方法:

  • 提出了一个新的多尺度框架.
  • 采用非负拉索 (NN-LASSO) 算法来整合人口和细胞进化模型.
  • 利用机器学习算法来分析亚克隆组合.

主要成果:

  • 证实了亚克隆组合对癌症生长动态的显著影响.
  • 在异质生长模式中确定了两个关键的亚克隆.
  • 证明初始亚克隆组合可以准确地区分各种癌症生长模式.

结论:

  • 多尺度框架有效地模拟了癌症的演变,弥合了长期动态和短期测量.
  • 这种方法为研究癌症进化提供了一种新的方法,使用模拟和真实世界的数据.