基于炎症反应的预后和个性化治疗决策在清细胞细胞癌症中,以帮助精确瘤学
Weimin Zhong1, Huijing Chen1, Jiayi Yang1
1Central laboratory, The Fifth Hospital of Xiamen, Xiamen, 361101, Fujian Province, China.
BMC medical genomics
|October 26, 2023
概括
研究人员在清细胞细胞癌 (ccRCC) 中确定了三种炎症反应亚型,并开发了IRscore. 这种分层有助于个性化治疗策略和ccRCC和其他癌症的风险评估.
科学领域:
- 在瘤学瘤学.
- 免疫学 免疫学 免疫学
- 基因组学就是基因组学.
背景情况:
- 炎症反应显著影响瘤的发展和治疗疗效在清细胞细胞癌 (ccRCC).
- 了解这些炎症动态对于开发个性化的预后和治疗策略至关重要.
研究的目的:
- 根据炎症反应基因表达来对ccRCC瘤进行分类.
- 开发一个用于患者分层和治疗指导的预测评分系统.
- 评估炎症亚型和ccRCC和各种癌症中的分数系统的临床和免疫学相关性.
主要方法:
- 对炎症基因的TCGA-KIRC瘤转录组数据进行无监督聚类.
- 在独立的ccRCC和免疫治疗数据集上使用SubMap和NTP算法进行验证.
- 开发一种基于炎症反应的评分系统 (IRscore),使用共表达和LASSO分析.
主要成果:
- 确定了三种不同的炎症反应亚型 (IR1,IR2,IR3) 具有独特的分子,临床和免疫学特征.
- IR2亚型显示出最好的整体存活 (OS) 结果.
- 发展了IRscore;高的IRscore与抗PD-L1治疗的反应较差和更差的预后相关.
- 在亚型中对抗血管生成剂和免疫疗法 (抗CTLA4) 显示出不同的反应.
结论:
- 炎症亚型的表征和IRscore为ccRCC中的风险分层提供了一个框架.
- 这些发现支持基于炎症概况的个性化治疗决策.
- IRscore和亚型分类在泛癌预后和治疗选择方面具有潜在的应用.
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