在芯片上的癌症用于精密的癌症医学
Lunan Liu1, Huishu Wang1, Ruiqi Chen2
1Department of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering, Brooklyn, NY 11201, USA. wchen@nyu.edu.
Lab on a chip
|May 16, 2025
概括
芯片上的癌症 (CoC) 模型通过模拟瘤微环境 (TME) 来提供更准确的临床前测试平台. 本综述强调了CoC在精密癌症医学和药物发现方面的进展.
科学领域:
- 生物医学工程 生物医学工程
- 在瘤学瘤学.
- 微流体学 微流体学
背景情况:
- 目前的癌症临床前模型无法准确地代表人类瘤的复杂性和患者的特异性.
- 这种限制导致癌症治疗在临床试验中的高失败率.
- 瘤微环境 (TME) 在癌症进展和治疗反应中发挥着关键作用.
研究的目的:
- 审查用于模拟TME的癌症芯片 (CoC) 技术的最先进技术.
- 讨论 CoC 系统在癌症治疗查和药物发现中的应用.
- 探索开发下一代CoC模型的未来方向,用于精确的癌症医学.
主要方法:
- 总结了最近在CoC开发中的进展,用于模拟瘤血管系统,肌和免疫.
- 在治疗查中对CoC应用的审查.
- 探索未来的CoC技术,包括患者衍生芯片,芯片上的有机体和多器官系统.
主要成果:
- CoC系统密切模仿体内瘤解剖学和微环境相互作用,使得更准确的疾病建模.
- CoC技术为抗癌药物发现提供了高通量查.
- 传感器和人工智能的整合可以增强COC数据分析和疾病调查.
结论:
- CoC技术对于推进精确癌症医学至关重要,因为它提供了针对患者的高准确度临床前模型.
- 未来的CoC开发应该专注于标准化,将其转化为临床环境,并与AI集成.
- 解决实际挑战和道德问题对于广泛采用CoC技术至关重要.
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