与炎症相关的基因用于预测清细胞细胞癌的预后:多数据库分析分析
Yonggui Xiao1, Chonghao Jiang2, Hubo Li1
1School of Clinical Medicine, Affiliated Hospital, North China University of Science and Technology, Tangshan, China.
Translational cancer research
|November 16, 2023
概括
一个新的与炎症相关的基因模型签名 (IRGMS) 有效地预测了清细胞细胞癌 (ccRCC) 的预后. 具有较高IRGMS分数的患者可能会从免疫疗法和化疗中受益,提供更多的治疗选择.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 免疫学 免疫学 免疫学
背景情况:
- 清细胞细胞癌 (ccRCC) 是最常见的癌亚型.
- 炎症反应是ccRCC发育的所有阶段的组成部分.
- 了解与炎症相关的基因对于ccRCC的诊断和治疗至关重要.
研究的目的:
- 根据与炎症相关的基因开发和验证ccRCC的预后模型.
- 探索预后模型在预测患者结果和治疗反应方面的临床实用性.
主要方法:
- 使用公共数据库 (TCGA,GEO,ICGC) 来获取ccRCC数据.
- 应用差分分析,考克斯回归和LASSO回归来识别预后基因.
- 使用代用变量分析 (SVA) 标准化的多源数据.
- 使用内部和外部数据集以及免疫组织化学验证了模型.
主要成果:
- 开发了一个强大的炎症相关基因模型签名 (IRGMS) 用于ccRCC预后.
- IRGMS准确地预测了不同患者队列的生存率.
- 高风险患者表现出瘤发生途径的丰富,并建议潜在的治疗途径.
结论:
- IRGMS是用于预测ccRCC预后的验证工具.
- 较高的IRGMS得分与免疫检查点抑制剂和化疗的潜在益处相关.
- 该模型有助于识别具有更个性化的治疗选择的患者.
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