在AML中解读乳酸/乳化网络:集成的scRNA-seq和转录组学揭示了功能和预后模型
Xiaohe Chen1, Aimei Feng2, Haifei Guo2
1Department of Blood Transfusion, The Third Affiliated Hospital of Wenzhou Medical University, Rui'an, People's Republic of China.
BMC cancer
|October 26, 2025
概括
乳酸代谢和基因素乳化影响急性髓性白血病 (AML) 的异质性. 使用乳酸/乳酸化基因的新预后模型预测了AML患者的生存率和治疗反应.
科学领域:
- 在瘤学瘤学.
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
- 代谢学 代谢学 代谢学
背景情况:
- 急性髓性白血病 (AML) 是一种异质癌症,需要精确的治疗策略.
- 乳酸代谢和组织素乳化是新兴的表观遗传调节剂,影响瘤生物学和免疫微环境.
研究的目的:
- 为了研究乳酸/乳酸化相关基因 (LL-基因) 在AML的预后价值.
- 开发基于LL-基因的AML生存和治疗反应的预测模型.
主要方法:
- 单细胞RNA测序 (scRNA-seq) 和大量RNA测序 (bulkRNA-seq) 数据的综合分析.
- 使用Seurat用于scRNA-seq,GSVA用于路径活动,ConsensusClusterPlus用于亚型化,以及机器学习用于预后模型构建.
- 通过使用qRT-PCR和Western blot验证了关键基因失调.
主要成果:
- scRNA-seq在恶性原始体中发现了LL基因的过度表达,这与乳酸代谢-乳糖活性增加,代谢-炎症协同作用和免疫抑制有关.
- 分子亚型发现了不同的预后,其中一个显示生存率较差.
- 一个7基因预后模型准确地预测了生存率,化疗反应和对向抑制剂 (BCL-2/FGFR) 的敏感性.
结论:
- 乳酸盐/乳酸酶相关基因有助于AML异质性和免疫抑制.
- 开发的机器学习模型为预测AML患者的结果和指导精确治疗提供了一个有希望的工具.
- 向乳酸代谢和乳糖化途径可能是AML的新治疗策略.
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