对拼接因子进行全面分析,以构建前列腺癌的预后预测分类器
He Zhang1,2,3, Jianfei Tian1,2,3, Sixin Ren1,2,3
1Public Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.
Journal of cellular and molecular medicine
|August 10, 2023
概括
分离因子 (SFs) 是RNA替代分离 (AS) 和癌症进展的关键. 这项研究确定了53个与生存相关的SF和预测前列腺癌 (PCa) 预后的分类器,突出了SF作为潜在的生物标志物.
科学领域:
- 分子生物学分子生物学
- 在瘤学瘤学.
- 遗传学 是一个遗传学.
背景情况:
- 由拼接因子 (SFs) 控制的替代拼接 (AS) 在癌症生物学中至关重要.
- SF失调有助于前列腺癌 (PCa) 进展,但其预后价值尚未完全理解.
研究的目的:
- 综合分析PCa中SFs的表达模式,临床相关性和生物功能.
- 确定具有预测价值的SF,并开发PCa的预测分类器.
主要方法:
- 在PCa中对393个SF进行了系统分析.
- 确定与生存相关的SF和分子亚型.
- 使用LASSO-COX回归开发基于SF的分类器.
- 在培训,测试和外部队伍中验证.
- 关键SFs的CRISPR/CAS9查和功能分析.
主要成果:
- 确定了53个与生存相关的SF,将PCa分为两种分子亚型,具有不同的临床结果.
- 在多个队伍中开发了一个具有有前途的预后预测性能 (ROC>0.700) 的六个SF分类器.
- 确定LSM3和DHX16对于PCa细胞增殖和细胞周期进展至关重要.
结论:
- SF和AS事件是PCa诊断,预后和治疗的潜在多维生物标志物.
- 已识别的SF和分类器为了解和管理PCa提供了新的途径.
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