生物
癌细胞
遗传异质性
选择(遗传算法)
基因
癌症
癌症研究
癌症的体细胞进化
遗传学
表型
计算机科学
人工智能
作者
Bruce Gottlieb,Mark Trifiro,Gerald Batist
标识
DOI:10.1016/j.trecan.2020.10.013
摘要
Tumor genetic heterogeneity, in which individual tumors contain both multiple variant cancer-associated and normal genes, has been widely reported, although its significance has yet to be fully understood. We propose a genetic heterogeneity-based selection-centric hypothesis in which genetic heterogeneity, caused by the temporary reduction of DNA repair efficiency, occurs very early in human development, resulting in a small minority of cells in normal tissues acquiring cancer-associated genes that remain dormant. Cancer develops when precancer cells are selected for by altered tissue microenvironments; similar scenarios occur with development of metastases and therapeutic resistance in established cancer. This suggests that a normal cell selection treatment approach based on preferentially selecting normal cells within tumors may be effective in treating cancer.
科研通智能强力驱动
Strongly Powered by AbleSci AI