Scholarlink

Glioblastoma (GBM), the most aggressive and common form of brain cancer, is not driven solely by genetic mutations, but by complex, adaptive epigenetic processes influenced by environmental stressors. This study presents a multi-level, self-modelling adaptive network model to computationally analyse how chronic psychological stress can initiate and sustain glioblastoma through epigenetic dysregulation, particularly focusing on miR-10b overexpression and BDNF-related feedback loops. The model provides a computational framework for exploring the epigenetic-environmental interplay in brain cancer and highlights the potential of epigenetic-targeted treatments.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Computational Analysis of the Adaptive Role of Environmental Influences and Epigenetics in Brain Cancer

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Alun Arkananta,
  • Selin Lal Saracoglu,
  • Jan Treur

摘要

Glioblastoma (GBM), the most aggressive and common form of brain cancer, is not driven solely by genetic mutations, but by complex, adaptive epigenetic processes influenced by environmental stressors. This study presents a multi-level, self-modelling adaptive network model to computationally analyse how chronic psychological stress can initiate and sustain glioblastoma through epigenetic dysregulation, particularly focusing on miR-10b overexpression and BDNF-related feedback loops. The model provides a computational framework for exploring the epigenetic-environmental interplay in brain cancer and highlights the potential of epigenetic-targeted treatments.