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
bioRxiv : the preprint server for biology
|February 6, 2026
概括
通过整合基因组数据和网络分析,GARD管道确定了新的头癌 (HNC) 药物重定位候选药物. 这种方法加快了个性化治疗的发现,提供了具有成本效益的治疗选择.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 药理学 药理学是指药理学的学科.
背景情况:
- 头癌 (HNC) 是一种全球普遍存在的恶性瘤,治疗结果的改善有限.
- 药物再利用提供了一种具有成本效益的策略,用于识别使用已知安全性配置文件的现有药物识别新的治疗选择.
研究的目的:
- 开发和实施GARD (基因组基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因
- 利用基因组和基于网络的方法来发现HNC中的精准医学策略.
主要方法:
- 该GARD管道整合了TCGA的多omics数据 (CNV,体质突变),按HPV状况分层.
- 确定了与风险相关的基因,通过蛋白质-蛋白质相互作用 (PPI) 网络进行扩展,并使用PubMed的LLM分析对文献进行了验证.
- 经过验证的基因和网络邻居与DrugBank进行了映射,以确定显著的药物基因关联.
主要成果:
- 在HPV+和HPV-亚组中确定了重要的HNC相关基因 (例如PIK3CA,SOX2,TP53).
- 网络扩张发现了额外的向基因 (例如EGFR,ERBB2,FGFR).
- 药物基因映射揭示了临床试验中的候选药物和新型重定位剂 (例如,阿法替尼布,卡博赞提尼布,阿穆瓦提尼布,奎尔塞丁,阿司匹林).
结论:
- 该GARD管道提供了一个由基因组学驱动的,以网络为基础的框架,用于HNC中的系统性药物重新利用.
- HPV分层,文献验证和综合药物映射提高了精度,加快了个性化HNC治疗的发现.
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