识别与肝癌风险相关的蛋白质和氨基酸:使用孟德尔随机化和散装RNA测序分析的研究
Chi Ma1, Ling Tang2, Jiaqi Yao3
1Department of General Surgery, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
Journal of personalized medicine
|March 28, 2024
概括
这项研究确定了两个蛋白质,MICB和TDO2,与原发性肝癌 (PLC) 风险和血清蛋白代谢有因果关系. 这些蛋白质显示出作为PLC的诊断生物标志物的潜力.
科学领域:
- 生物化学 生物化学
- 在瘤学瘤学.
- 遗传学 遗传学 是一个
背景情况:
- 原发性肝癌 (PLC) 是全球癌症死亡的主要原因.
- 蛋白质组学和代谢组学是理解PLC的关键工具.
- 解决逆因果关系和混因素对于PLC生物标志物发现至关重要.
研究的目的:
- 为了研究血液蛋白质,氨基酸和PLC风险之间的因果关系.
- 确定与血清代谢相关的PLC潜在的诊断和预后生物标志物.
主要方法:
- 利用孟德尔随机化 (MR) 来分析4719种蛋白质和21种氨基酸对PLC风险.
- 分析了TCGA-LIHC队列和GEO数据库在血清代谢中的差异表达基因 (DEGs).
- 在独立数据集中验证了潜在的生物标志物.
主要成果:
- 确定了63种与PLC风险相关的蛋白质.
- 证实了PLC和血清度之间的积极因果关系.
- 在TCGA-LIHC队列中发现了与血清代谢相关的八个DEG.
- 从GEO数据库中验证了TDO2和MICB作为PLC的潜在诊断生物标志物.
结论:
- 血清代谢中的蛋白质MICB和TDO2与PLC风险有因果关系.
- 这些蛋白质显示出作为原发性肝癌的新型诊断指标的潜力.
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