预测膀癌的存活率,使用一种新型的亡基因相关的预后模型
Ding-Ming Song1, Kun Feng1, Wen-Fei Luo2
1Department of Urology, Jinzhou Medical University, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China.
Discover oncology
|November 24, 2024
概括
这项研究开发了一种亡相关基因模型 (ARGM),用于预测膀癌的预后和免疫治疗反应. 该ARGM证明了对整体存活率,疾病特异性存活率和无进展存活率的显著预测价值,提供了潜在的临床应用.
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:
- 细胞亡及其相关基因对膀癌的发展和进展至关重要.
- 现有的预后模型不包括apoptotic基因.
研究的目的:
- 建立一个预后模型,使用与膀癌的亡相关的基因.
- 评估模型对患者生存和免疫治疗反应的预测能力.
主要方法:
- 利用癌症基因组图集 (TCGA) 和基因表达总汇 (GEO) 数据库来获取mRNA和临床数据.
- 使用无变量和LASSO Cox回归选了与生存相关的亡基因.
- 使用卡普兰-梅尔分析,ROC曲线和qRT-PCR验证了亡相关基因模型 (ARGM).
主要成果:
- 鉴定了形成ARGM的关键亡基因 (ANXA1,CASP6,CD2,F2,PDGFRB,SATB1,TSPO) 的发现.
- 在膀癌队列中,ARGM准确地预测了整体生存率,疾病特异性生存率和无进展生存率.
- 该模型的得分与免疫细胞透和预测的免疫疗法反应相关,由TIDE和Imvigor210研究验证.
结论:
- 已建立的ARGM对膀癌预后和免疫治疗具有显著的预测价值.
- 该ARGM可以帮助临床咨询,患者分层和治疗选择.
- 风险组之间的免疫透和信号通路差异为未来研究提供了途径.
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