CTTIME:用于分析癌症治疗对瘤免疫微环境的影响的数据库
Chengjie Zhang1,2, Yu Dong1,2,3,4, Yuan Liu5,6
1Center for Immune-Related Diseases at Shanghai Institute of Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Genomics, proteomics & bioinformatics
|September 22, 2025
概括
了解抗癌疗法如何改变瘤免疫微环境 (TIME) 对改善治疗至关重要. 这项研究开发了一个数据库来跟踪治疗期间的TIME动态,有助于预测治疗疗效和设计组合策略.
科学领域:
- 免疫学 免疫学 免疫学
- 计算生物学 计算生物学
- 在瘤学瘤学.
背景情况:
- 瘤免疫微环境 (TIME) 极大地影响免疫检查点阻断 (ICB) 疗法的疗效.
- 抗癌药物可以调节时间,影响ICB和组合疗法的有效性.
- 了解跨癌症类型和治疗方法的动态 TIME 变化对于预测治疗结果和优化组合策略至关重要.
研究的目的:
- 开发一个计算管道和数据库,用于分析各种抗癌疗法下TIME的动态分子概况.
- 在不同治疗方案期间,在TIME内识别关键的分子和细胞变化.
- 为研究人员创建一个用户友好的资源,以探索 TIME 的变化,并推进抗癌疗法开发.
主要方法:
- 从5311个治疗前和治疗后活检中编制了92个转录组数据集,涵盖20种癌症类型和9种治疗策略.
- 采用系统方法识别差异表达基因 (DEG),进行功能丰富分析和评估免疫细胞群体动态.
- 分析了免疫细胞种群与免疫细胞丰度和ICB相关特征的动态变化之间的显著关联.
主要成果:
- 鉴定了TIME中的动态分子概况和基因表达变化,以应对各种抗癌疗法.
- 在不同癌症类型和治疗方式中,免疫细胞的丰度和组成发生了显著的变化.
- 揭示了特定分子变化和免疫细胞动态之间的关联在治疗期间的时间内.
结论:
- 开发的计算管道和数据库 (CTTIME) 为研究时间动态提供了全面的资源.
- CTTIME促进了对抗癌症疗法如何影响TIME的调查,有助于预测治疗疗效.
- 本资源支持开发新的组合疗法策略,通过提供对治疗期间的 TIME 调制的见解.
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