推进瘤学药物开发:创新的方法可以提高成功率,同时减少动物试验
1Hendriks Pharmaceutical Consulting, J. Wagenaarstraat 67, 1443 LR Purmerend, the Netherlands.
Biochimica et biophysica acta. Reviews on cancer
|October 4, 2025
概括
新的临床前工具通过提高准确性和减少动物试验来提高瘤学药物开发. 新兴的体外和体内模型,以及人工智能,提供了更具预测性和道德性的抗癌药物发现途径.
科学领域:
- 临床前药物开发阶段
- 瘤学研究的研究.
- 翻译医学是一种翻译医学.
背景情况:
- 瘤药物开发面临90%以上的失败率,需要改进临床前策略.
- 3Rs原则 (减少,改进,替代) 指导着动物试验的伦理进步.
- 传统的2D in vitro方法虽然具有成本效益,但在预测临床结果方面存在局限性.
研究的目的:
- 审查新兴的工具和战略,以提高临床前抗癌药物开发成功率.
- 探索与减少和取代动物试验的3R原则相一致的创新.
- 评估新技术在瘤学药物发现方面的潜力和挑战.
主要方法:
- 对2D和3D体外查模型 (器官,芯片上的器官) 的审查.
- 在药物发现中对人工智能 (AI) 应用的评估.
- 在体内模型 (来自患者的异种移植) 和混合系统的分析.
- 考虑创新的实验设计 (单个小鼠试验,空心纤维试验).
主要成果:
- 3D体外系统和Organ-on-a-chip平台提供了增强的生理相关性和预测能力.
- 来自患者的异种移植模型提供了与翻译相关的体内疗效测试.
- 人工智能显示了变革的潜力,但面临着数据和基础设施的挑战.
- 像单个小鼠试验这样的新方法可以在不影响数据质量的情况下减少动物数量.
结论:
- 新兴技术如有机体,芯片器官,人工智能和先进的体内模型对于改善临床前瘤学药物开发至关重要.
- 这些创新为更道德,更高效和更具预测性的药物发现提供了途径,与3Rs保持一致.
- 标准化,验证,监管接受和数据可访问性仍然是广泛采用的关键挑战.
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