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与前列腺癌中未折叠的蛋白质反应相关的多omics分析暗示IFRD1的前瘤作用
Yifeng Xue1, Enyao Huang2,3, Caichen Luo3
1Department of Urology, Affiliated Jintan Hospital of Jiangsu University, Changzhou, China.
Frontiers in immunology
|February 16, 2026
概括
展开的蛋白质反应 (UPR) 驱动前列腺癌 (PCa) 的进展. 我们开发了一种与UPR相关的基因特征 (UPRRS),可以准确预测PCa的预后,并将IFRD1确定为潜在的治疗标.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 基因组学就是基因组学.
背景情况:
- 展开的蛋白质反应 (UPR) 与前列腺癌 (PCa) 的进展有关.
- 在PCa中UPR的多omics景观和临床实用性尚未得到很好的定义.
研究的目的:
- 调查UPR在PCa进展中的作用.
- 根据与UPR相关的基因开发PCa的临床适用预后模型.
- 在UPR相关基因中识别潜在的诊断和治疗点.
主要方法:
- 整合单细胞和批量转录基因数据以识别与UPR相关的基因 (UPRRGs).
- 使用机器学习框架开发了一个UPR相关的共识签名 (UPRRS).
- 进行了功能丰富,细胞通信,生存和体外分析.
- 为预后预测构建了一个名ogram.
主要成果:
- 在特定的前列腺上皮亚群中观察到高的UPR活性.
- 一个七基因的UPRRS在多个队列中表现出强大的预后性能 (C指数> 0.82,AUC> 0.80).
- UPRRS是一个独立的预后因素,高的UPRRS与免疫抑制的微环境和降低的化学敏感性相关.
- 在实验室中,IFRD1的淘汰抑制了PCa细胞的增殖和迁移.
结论:
- 本研究呈现了PCa中UPR异质性的第一个单细胞地图.
- 开发了一个临床可翻译的UPRRS预后模型.
- IFRD1被确定为PCa精度管理的关键驱动因素和潜在的双重诊断和治疗目标.
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