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使用机器学习发现DNA代谢生物标志物,指导前列腺癌治疗

Ali Shakeri Abroudi¹, Melika Djamali², Hossein Azizi³

¹Department of Cellular and Molecular Biology, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.

Scientific reports

|July 18, 2025

概括

在前列腺癌 (PC) 的进展和免疫反应中,DNA代谢基因至关重要. 准这些基因可能为PC患者提供新的预后生物标志物和个性化疗法.

科学领域:

在瘤学瘤学.
遗传学是一个遗传学.
免疫学免疫学免疫学

背景情况:

DNA代谢基因调节前列腺癌 (PC) 中的关键细胞过程.
了解它们在瘤微环境和免疫逃避中的作用对于PC治疗至关重要.
迫切需要预后生物标志物和针对PC的向疗法.

研究的目的:

研究DNA代谢基因在前列腺癌 (PC) 进展,免疫调节和治疗反应中的作用.
确定PC的新型预后生物标志物和治疗点.

主要方法:

转录基因数据 (TCGA,外部数据集) 的综合分析.
不同基因表达分析 (edgeR),基因丰富 (GO,KEGG),聚类和机器学习 (CoxBoost).
单细胞RNA测序 (scRNA-seq) 用于细胞水平分析.

主要成果:

在PC中鉴定了536个差异表达基因 (DEG),突出的是POLD2,RAD9A,REV3L,MSH6和WRNIP1.
DEGs与DNA修复,衰老和端粒维护途径有关.
发现了两个PC子组 (C1,C2) 具有不同的表型,免疫透和预后;确定了21个关键预后基因.
scRNA-seq证实PC细胞中的DNA代谢基因表达升高.

结论:

DNA代谢基因是PC进展和免疫动态的关键驱动因素.
这些基因代表潜在的预后生物标志物和个性化PC治疗的治疗点.
多学科数据集成和计算模型为PC和改进的治疗策略提供了新的见解.

关键词:

算法算法是一种算法.基因代谢基因代谢 DNA代谢机器学习是机器学习.微阵列的微阵列前列腺癌是什么意思前列腺癌是什么意思

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