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GARD:基于基因组数据的药物重定位在头癌中,使用大型语言模型验证

Pradham Tanikella¹, William Nenad², Christophe Courtine³

¹Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

|March 14, 2026

概括

通过分析基因组数据和蛋白质网络,GARD管道确定了用于头癌 (HNC) 的新药重定位候选药物. 这种方法有助于发现针对个性化HNC治疗的向疗法.

科学领域:

在瘤学瘤学.
基因组学就是基因组学.
生物信息学是一种生物信息学.

背景情况:

头癌 (HNC) 的治疗改善有限.
药物重新定位为新的HNC疗法提供了一个具有成本效益的策略.
现有的HNC治疗方法显示患者的治疗结果不足于最佳.

研究的目的:

开发GARD管道,用于识别HNC药物重用候选人.
为了利用基因组改变和基于网络的药物发现方法.
为了发现头癌的新治疗方案.

主要方法:

来自TCGA的综合多omics数据 (CNV,SOM),按HPV状态分层.
识别了风险基因,并使用蛋白质-蛋白质相互作用 (PPI) 网络扩展了它们.
使用PubMed文献和LLM验证了基因-HNC关联,然后将基因映射到DrugBank.

主要成果:

在HPV亚组中确定了重要的HNC风险基因 (例如,PIK3CA,SOX2,TP53).
网络扩张揭示了其他可向基因 (例如EGFR,ERBB2,FGFR).
药物测绘确定了临床试验药物和新型重定位候选药物 (例如,阿法替尼,阿穆瓦替尼,阿司匹林).

结论:

该GARD管道为HNC药物重定向提供了一个系统的,基因组学驱动的框架.
HPV分层和文献验证提高了确定候选者的准确性和信心.
这种方法通过完善现有疗法和发现新的疗法来促进个性化治疗策略.

关键词:

药物重用是为了改变药物的用途.基因组学就是基因组学.头部和部癌症头部和部癌症

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