基于自依赖细胞死亡的五基因预后模型,用于预测肺腺癌的预后
Zhanshuo Zhang1, Pengpeng Zhang1, Jiping Xie1
1Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
Scientific reports
|November 3, 2024
概括
研究人员使用五个自细胞依赖性细胞死亡 (ADCD) 基因开发了一种新的风险评分,以预测非小细胞肺腺癌 (LUAD) 的预后和治疗反应,有助于个性化癌症护理.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 非小细胞肺腺癌 (LUAD) 是最常见的肺癌亚型,缺乏可靠的预后和预测生物标志物.
- 自依赖性细胞死亡 (ADCD) 与固体瘤的免疫疗法反应和预后有关,但其在LUAD中的作用需要进一步调查.
研究的目的:
- 在LUAD中识别与ADCD相关的基因,并开发出预后和治疗疗效的预测模型.
- 探索ADCD基因,瘤免疫微环境和LUAD中药物反应之间的相关性.
主要方法:
- 使用单细胞和批量转录组数据 (TCGA,GSE13213,GSE26939,GSE29016,GSE30219) 与AddModuleScore,ssGSEA和WGCNA一起用于识别ADCD基因.
- 开发并验证了一种使用LASSO-Cox回归的5个基因 (BIRC3,TAP1,SLAMF1,XCR1,HLA-DMB) 的ADCD特征和风险评分系统 (ADCDRS).
- 使用CIBERSORT,ESTIMATE和ssGSEA分析了免疫细胞透,瘤微环境和药物敏感性.
主要成果:
- 确定了249个与ADCD相关的基因,其中18个与整体存活率有显著联系.
- 五基因ADCDRS模型准确预测了LUAD预后,并与临床特征和免疫透相关联.
- 为了提高临床适用性,以及识别潜在的治疗点,开发了ADCDRS nomogram.
结论:
- 五个基因的ADCD特征和ADCDRS提供了一个强大的工具来预测LUAD预后和治疗结果.
- ADCDRS有助于评估瘤免疫微环境,并可指导在LUAD中的个性化治疗策略.
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