通过基于网络信息的信号方法发现抗癌药物向组合
Bengi Ruken Yavuz1, Hyunbum Jang1,2, Ruth Nussinov3,4,5
1Cancer Innovation Laboratory, National Cancer Institute, Frederick, MD, USA.
Communications medicine
|October 17, 2025
概括
本研究介绍了一种基于网络的策略,以确定癌症治疗的最佳药物标组合,旨在通过向替代细胞通路来克服耐药性.
科学领域:
- 计算生物学 计算生物学
- 在瘤学瘤学.
- 系统生物学 系统生物学
背景情况:
- 癌症治疗决策是复杂的,因为许多药物组合和预测患者反应的挑战.
- 连续单一药物治疗往往导致耐药性,需要组合疗法.
- 目前的经验药物组合受到临床经验和缺乏系统的标选择的限制.
研究的目的:
- 开发一种新的策略来选择最佳的药物标组合,模仿自然的细胞信号传递.
- 识别细胞通信通路中的关键蛋白质标,以克服药物耐药性.
- 为发现有效的抗癌药物组合提供系统的,基于网络的方法.
主要方法:
- 利用蛋白质-蛋白质相互作用网络和最短路径分析来绘制细胞通信路径.
- 制定了一项策略,将关键网络节点确定为潜在的组合药物目标.
- 通过识别绕过药物阻塞路径的并行路径来模仿癌症的抵抗机制.
主要成果:
- 根据网络拓,确定了关键通信节点作为组合药物目标.
- 通过使用来自患者的乳腺癌和结直肠癌的临床数据验证了基于网络的方法.
- 在乳腺癌中通过Alpelisib + LJM716和结直肠癌中通过Alpelisib + Cetuximab + Encorafenib证明了瘤的减少.
结论:
- 基于网络的策略有效地发现最佳的蛋白质共同标组合,以对抗癌症药物耐药性.
- 该方法成功地在替代信号通道及其连接节点中识别了共同目标.
- 这种方法为开发更有效和个性化的组合癌症疗法提供了一个有希望的途径.
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