乳腺癌的分子特征和景观模型从多个omics视角
Mylena M O Ortiz1, Eran R Andrechek2
1Genetics and Genomics Science Program, Michigan State University, East Lansing, MI, USA.
Journal of mammary gland biology and neoplasia
|June 3, 2023
概括
本综述比较了使用多omics数据的乳腺癌研究模型. 来自患者的模型,如异种移植和有机体,最好反映人类瘤,而不是细胞系.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 蛋白质组学是指蛋白质组学.
背景情况:
- 乳腺癌的异质性给研究模型带来了挑战.
- 多omics技术使模型和人类瘤之间的比较变得复杂.
研究的目的:
- 使用多omics数据审查和比较乳腺癌研究模型.
- 评估各种模型与人类原发性乳腺瘤的分子相似性.
主要方法:
- 来自乳腺癌研究模型和原发性瘤的多omics数据的比较分析.
- 对乳腺癌细胞系,患者衍生异体移植 (PDX),患者衍生有机体 (PDO) 和小鼠模型的现有文献的综述.
主要成果:
- 由于累积的突变,乳腺癌细胞系表现出最少的相似性.
- 来自患者的异种移植和器官是卓越的模型,在药物查和分析中有效地反映人类瘤.
- 小鼠模型提供异质性,但具有较低的突变负担;乳球和3D培养物对干细胞研究有用.
结论:
- 来自患者的异种移植和器官是最适合回顾乳腺癌分子格局的模型.
- 模型的选择取决于具体的研究问题,细胞系,PDX,PDO和小鼠模型提供了明显的优势.
- 对于像乳球和3D培养等模型,需要进一步的多omics数据来充分评估它们的实用性.
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