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在代谢功能障碍相关的脂肪性肝病 (MASLD) 的发展和进展期间,对分子表达模式的生物信息分析

Yuanfeng Lan¹, Ran Song^1,2, Duiping Feng³

¹Beijing Key Laboratory for Tumor Invasion and Metastasis, Department of Biochemistry and Molecular Biology, Capital Medical University, Beijing, People's Republic of China.

Scientific reports

|March 2, 2025

概括

与代谢功能障碍相关的脂肪性肝病 (MASLD) 在全球范围内正在上升. 这项研究确定了关键基因,如CYP7A1和TNFRSF12A,并使用LASSO回归来预测MASLD的发生和进展到肝癌.

科学领域:

肝病学和分子生物学
基因组学和生物信息学
在瘤学瘤学.

背景情况:

与代谢功能障碍相关的脂肪性肝病 (MASLD) 发病率在全球范围内不断增加,与肥胖有关.
MASLD可以发展为与代谢功能障碍相关的脂肪肝炎 (MASH) 和肝细胞癌 (HCC).
迫切需要有效的风险预测模型和MASLD患者的癌症查.

研究的目的:

在MASLD中识别具有趋势表达模式的基因作为潜在的生物标志物或治疗点.
开发和验证一个两个阶段的 MASLD 发生和进展的分类系统.
评估 LASSO 回归对于预测 MASLD 发展和进步的有用性.

主要方法:

在MASLD发育的五个阶段对基因表达模式的分析.
对MASLD的发生和进展实施一种新的两阶段分类.
应用LASSO回归模型进行预测分析.

主要成果:

拉索回归模型对MASLD的发生和进展都表现出强大的预测能力.
鉴定出CYP7A1和TNFRSF12A与MASLD向HCC的进展有显著的关联.
该研究确定了与MASLD病变发生相关的趋势基因表达模式.

结论:

基因表达分析提供了对MASLD进展动态的见解.
CYP7A1和TNFRSF12A可以作为MASLD相关的HCC的预后生物标志物.
这项研究支持开发新的预后工具和针对肝病的向疗法.

关键词:

表达模式集群分析表达模式集群分析肝细胞癌 (HCC) 是一种肝细胞癌.拉索 (最小绝对收缩和选择运营商)与代谢功能障碍相关的脂肪性肝病 (MASLD)预测影响的预测影响.

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