针对癌症的麻醉/止痛免疫调节的精确方法
Hersh V Gupta1, Kay S Tan2, Gregory W Fischer3,4
1Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, United States.
概括
瘤突变负担 (TMB) 和部分基因组改变 (FGA) 可以预测癌症患者对麻醉和止痛药的反应,指导个性化癌症治疗策略以获得更好的生存结果.
科学领域:
- 癌症研究
- 免疫学
- 药理学
背景情况:
- 麻醉和止痛药可以通过免疫调节影响癌症复发和生存.
- 研究瘤突变负担 (TMB) 和部分基因组改变 (FGA) 等生物标志物可以为瘤微环境 (TME) 中药物效应的精确方法提供信息.
研究的目的:
- 探索TMB和FGA与麻醉剂/止痛药剂量和患者结局的预测效用.
- 分析各种癌症类型中药物受体基因表达,TMB,FGA和免疫细胞透之间的相关性.
主要方法:
- 从18种瘤类型的6488名患者的两种临床队列 (LUAD和COAD) 和TCGA数据的回顾性分析.
- 使用DeSeq与TMB和FGA相关的麻醉剂/止痛药标的量化差异基因表达.
- 使用CIBERSORT估计了药物受体的免疫细胞局部化.
主要成果:
- 增加的TMB和FGA在LUAD存活期中放大了阿片类药物的前瘤作用,而TMB则调节了胺的抗瘤作用.
- 在COAD中,增加的TMB增强了阿片类抗瘤作用.
- 药物向受体基因表达与各种癌症类型的TMB和FGA相关,具有免疫细胞类型的特异性.
结论:
- 通过免疫调节,TMB和FGA显示为预测个体患者对麻醉剂/止痛药对生存的影响的生物标志物.
- 这些发现表明,在癌症中进一步研究麻醉剂/止痛药机制的分子标.
- 精确的痛疗法可以优化瘤的结果.
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