表观遗传学
癌症
表观遗传学
生物
转移
计算生物学
基因组
后生
癌症的体细胞进化
DNA甲基化
基因组学
适应(眼睛)
生物信息学
遗传学
神经科学
基因
基因表达
作者
Toshikazu Ushijima,Susan J. Clark,Patrick Tan
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2021-09-24
卷期号:373 (6562): 1474-1479
被引量:45
标识
DOI:10.1126/science.abh1645
摘要
Cancer is a major cause of global mortality underpinned by genomic and epigenomic derangements. Here, we highlight the importance of multimodal data integration in understanding the molecular evolution of malignant cell states across the cancer life cycle. The widespread presence of driver mutations and epigenetic alterations in normal-appearing tissues is prompting a reassessment of how cancer initiation is defined. In later-stage cancers, studying the roles of clonal selection, epigenomic adaptation, and persister cells in metastasis and therapy resistance is an emerging field. Finally, the importance of tumor ecosystems in driving cancer development is being unraveled by single-cell and spatial technologies at unprecedented resolution. Improving cancer risk assessment and accelerating therapeutic discovery for patients will require robust, comprehensive, and integrated temporal, spatial, and multilevel tumor atlases across the cancer life cycle.
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