创新的器官芯片平台用于探索头癌的瘤发生和治疗
Chen Lin1, Zilin Zhang2, Feili Yang3
1Department of Otolaryngology-Head and Neck Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, 315040, Zhejiang, China.
Journal of translational medicine
|July 16, 2025
概括
先进的3D培养模型和器官芯片 (OOC) 技术正在通过更好地模仿瘤微环境 (TME) 来彻底改变头癌症 (HNC) 研究. 与人工智能的整合有望加速HNC的个性化治疗.
科学领域:
- 生物医学工程 生物医学工程
- 癌症研究 癌症研究
- 翻译医学是一种翻译医学.
背景情况:
- 头癌 (HNC) 研究因其复杂的瘤微环境 (TME) 和亚型异质性而复杂.
- 三维 (3D) 培养模型和器官芯片 (OOC) 技术提供了模拟TME的先进方法.
- 这些新型模型增强了对瘤生物学,药物反应和个性化HNC治疗策略的研究.
研究的目的:
- 审查3D模型和OOC技术在HNC研究中的当前应用.
- 评估它们在弥合临床前发现和临床应用之间的差距方面的潜力.
- 探索人工智能和机器人技术在增强这些先进模型中的作用.
主要方法:
- 在HNC研究中对3D模型 (球体,有机体,共同培养) 的文献综述.
- 分析OOC技术在研究HNC转移,免疫疗法和放射治疗中的应用.
- 检查人工智能和机器人整合的模型效率和可扩展性.
主要成果:
- 3D模型和OOC技术有效地复制患者特定的瘤行为,并预测治疗反应.
- 当前模型的技术限制,验证和生理相关性仍然存在挑战.
- 人工智能和机器人集成显示了提高可扩展性和数据分析的潜力.
结论:
- 3D和OOC技术对于克服HNC研究局限性至关重要.
- 这些模型为HNC瘤生物学和治疗疗效提供了洞察力.
- 临床翻译需要进一步验证,但人工智能集成可以加速个性化HNC治疗.
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