智能多态和工业6.0和7.0启用技术来破译瘤免疫微环境,并推进癌症免疫治疗
Hammad Majeed1, Muskan Irfan2, Mehak Irfan2
1Department of Chemistry, University of Management and Technology (UMT), Lahore, Sialkot Sub Campus, Sialkot 51310, Pakistan.
Toxicology research
|February 2, 2026
概括
癌症免疫疗法,包括单克隆抗体和检查点抑制剂,正在取得进展. 正在探索天然抗氧化剂和人工智能,以提高治疗效率并减少副作用,以获得更好的癌症护理.
科学领域:
- 瘤学和免疫学
- 纳米医学和生物技术
背景情况:
- 癌症免疫疗法彻底改变了瘤学,利用诸如单克隆抗体 (mAbs),免疫检查点抑制剂和细胞疗法等治疗方法.
- 瘤异质性和基因组分歧产生复杂的新抗原景观,导致免疫逃避和治疗耐药性.
- 自然抗氧化剂被认为可以调节免疫代谢途径,增强抗瘤免疫反应.
研究的目的:
- 审查癌症免疫疗法的进展,重点关注新型治疗平台和克服治疗耐药性的策略.
- 探索天然抗氧化剂在调节免疫反应和提高现有免疫疗法的疗效方面的作用.
- 讨论人工智能 (AI) 和工业6.0/7.0技术在开发下一代癌症治疗中的整合.
主要方法:
- 关于癌症免疫治疗的当前文献的综述,包括mAbs,检查点抑制剂和采用细胞疗法.
- 分析自然抗氧化剂 (例如,奎尔素,黄素,EGCG) 影响免疫代谢途径和T细胞功能的机制.
- 检查人工智能驱动的多omics分析和工业6.0/7.0技术,用于精确诊断和优化治疗计划.
主要成果:
- 单克隆抗体和检查点抑制剂显示出显著的抗瘤作用,但可能导致与免疫相关的不良事件.
- 天然抗氧化剂通过恢复线粒体功能和降低PD-1/PD-L1.1的调节来增强T细胞激活,透和对检查点阻塞的反应能力.
- 采用细胞疗法 (CAR-T,CAR-NK) 提供持久的反应,但面临诸如细胞因子释放综合征和抗原逃逸等挑战.
- 人工智能驱动的分析提高了诊断准确度,生物标志物发现和治疗优化.
结论:
- 将天然抗氧化剂与现有的免疫疗法相结合,可以提高疗效并减轻耐药性.
- 人工智能和先进的制造技术对于开发全球可访问,有针对性和少毒的下一代癌症免疫疗法至关重要.
- 未来的癌症治疗可能包括先进疗法,支持性天然化合物和智能技术集成的组合,以改善患者的治疗结果和可持续性.
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