从癌症的分子重新分类中出现的新型临床试验设计
Mina Nikanjam1,2, Shumei Kato1,2, Teresa Allen3
1Division of Hematology-Oncology, University of California San Diego, La Jolla, California, USA.
CA: a cancer journal for clinicians
|January 22, 2025
概括
晚期癌症具有复杂的基因组格局,推动了转向个性化,生物标志物匹配疗法的转变. 精准医学利用多种分子数据和人工智能,优化个人癌症治疗和药物发现.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 精准医学是一门精准的医学.
背景情况:
- 下一代测序揭示了晚期癌症中复杂的个体基因组景观.
- 分子特征,而不是起源组织,越来越多地决定了癌症患者的结果.
- 这就需要在癌症治疗策略和临床试验设计方面进行范式转变.
研究的目的:
- 概述瘤学临床试验向精准医学的演变.
- 突出多原子技术和数据源在个性化癌症治疗中的作用.
- 讨论人工智能在优化个性化治疗和发现新疗法的潜力.
主要方法:
- 评估不断发展的临床试验设计,从组织特异性到以患者为中心的N-of-1研究.
- 整合各种分子数据 (基因组学,转录组学,蛋白质组学等). ) 的情况.
- 利用现实世界的数据,患者报告的结果,以及人工智能/机器学习等先进的计算方法.
主要成果:
- 瘤学试验已经发展到生物标记驱动,组织不可知和N-of-1精确医学模型.
- 多原子技术使精细和定制的治疗策略成为可能.
- 人工智能/机器学习对于导航复杂的基因组数据和优化个性化治疗至关重要.
结论:
- 癌症治疗越来越个性化,超越组织学,进入分子基础.
- 包括人工智能在内的多模式,数据驱动的方法对于优化精密瘤学至关重要.
- 未来的方向包括实时治疗发现和通过分散研究改善试验可访问性.
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