表达驱动的遗传依赖揭示了精准医学的目标
Abdulkadir Elmas1, Hillary M Layden2, Jacob D Ellis2
1Department of Genetics and Genomic Sciences, Department of Artificial Intelligence and Human Health, Center for Transformative Disease Modeling, Tisch Cancer Institute, Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
bioRxiv : the preprint server for biology
|November 1, 2024
概括
这项研究引入了BEACON,一种通过分析基因表达来找到新的精确瘤点的方法. 它确定了对瘤细胞存活至关重要的新型癌症标,提供了新的治疗途径.
科学领域:
- 基因组学就是基因组学.
- 蛋白质组学是指蛋白质组学.
- 癌症生物学 癌症生物学
背景情况:
- 癌细胞表现出异质性,具有多样化的分子变化.
- 基于DNA突变的向疗法在缺乏可用药物的突变的瘤中是有限的.
- 对于治疗选择有限的患者,需要新的精确瘤学目标.
研究的目的:
- 通过表达驱动的依赖来识别新的精确瘤学目标.
- 开发一种基于基因表达水平的计算方法,以发现癌细胞生存所必需的基因.
- 创建一个表达驱动的成目标目录,用于治疗开发.
主要方法:
- 开发了一种贝叶斯式方法,BEACON,用于分析转录组和蛋白组数据以及遗传依赖性概况.
- 从17个组织谱系的癌症细胞系的数据进行了联合分析.
- 对已识别的新型目标进行实验验证.
主要成果:
- 标志标识了已知的可药物基因 (例如,BCL2,ERBB2,EGFR,ESR1,MYC). 标志标识了已知的可药物基因 (例如,BCL2,ERBB2,EGFR,ESR1,MYC).
- 新的目标被发现,通过mRNA和蛋白质表达驱动的依赖得到验证.
- 鉴定出的基因对已批准的药物标 (3.8倍) 和可药物瘤标 (7-10倍) 显示出显著的丰富.
- GRHL2,TP63和PAX5的消耗减少了瘤细胞的生长和依赖细胞的存活率.
结论:
- 表达式驱动的依赖是一种可行的策略,用于识别新的精确瘤学目标.
- BEACON提供了一个强大的框架,用于在不同类型的癌症中发现治疗点.
- 鉴定目标的目录是推进精确瘤治疗的宝贵资源.
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