在癌症生态系统中绘制基因组和表观基因组演变
Toshikazu Ushijima1, Susan J Clark2,3, Patrick Tan4,5,6,7
1Division of Epigenomics, National Cancer Center Research Institute, Tokyo 104-0045, Japan.
概括
整合多模式数据对于了解癌症至关重要
科学领域:
- 癌症学
- 基因组学
- 表观遗传学
背景情况:
- 癌症是死亡的主要原因, 源自基因组和表观基因组的变化.
- 在看似正常的组织中早期的分子变化挑战了传统的癌症启动定义.
- 后期阶段涉及到克隆选择,表观基因组适应,以及转移和治疗耐药性的持续细胞.
研究的目的:
- 强调多式联络数据在癌症研究中的重要性.
- 在整个生命周期中探索癌症的分子进化.
- 突出癌症发展和治疗的新兴研究领域.
主要方法:
- 多式联运数据的整合.
- 基因组和表观基因组变化的分析.
- 应用单细胞和空间技术.
主要成果:
- 在正常组织中存在驱动突变和表观遗传改变.
- 克隆选择,表观基因组适应和持续细胞影响转移和治疗耐药性.
- 瘤生态系统在癌症发展中发挥着关键作用,
结论:
- 多模式数据集成对于了解癌症的分子演变至关重要.
- 在癌症生命周期中开发全面的瘤图谱至关重要.
- 这种方法将改善癌症风险评估并加速治疗发现.
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