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Updated: Jan 13, 2026

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在KNTC1和PRC1中,定义了免疫抑制的微环境和脂肪肉瘤的不良预后

Lele Zhang¹, Xiangjie Fang², Zihan Yang³

¹Department of Integrated Traditional and Western Medicine, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China.

European journal of medical research

|January 10, 2026

概括

一个新的两基因预后模型 (KNTC1和PRC1) 对于脂质肉瘤 (LPS) 有效地预测生存和免疫微环境状态. 该模型有助于对患者进行分层,并指导这种软组织瘤的个性化治疗策略.

科学领域:

在瘤学瘤学.
免疫学免疫学免疫学
遗传学遗传学是一个

背景情况:

脂质肉瘤 (LPS) 是一种异质的软组织瘤,其中免疫微环境的特征会影响进展和治疗.
在LPS中预后评估的免疫相关生物标志物未得到充分研究,尽管它们具有潜在的诊断和治疗影响.

研究的目的:

确定强大的与免疫相关的生物标志物,用于对脂肪肉瘤的预后评估.
开发一个预后模型,反映瘤免疫微环境的异质性和LPS的诊断潜力.

主要方法:

利用了来自GEO和TCGA数据库的RNA-seq数据,用于脂肪肉瘤患者.
进行了差异基因表达分析,加权基因共同表达网络分析 (WGCNA) 和基于免疫特征的共识聚类.
使用LASSO和考克斯回归构建了一个预后风险模型,并通过ROC分析和功能测试进行验证.

主要成果:

通过WGCNA识别了852个差异表达的基因和一个与脂肪肉瘤相关的基因模块.
将患者分为免疫力高和免疫力低的亚型,具有不同的生存结果.
开发了两种基因特征 (KNTC1和PRC1),具有高诊断性能 (AUC>0.9) 和与病理亚型,转移和免疫透水平的显著关联. 在KNTC1沉默中,细胞迁移和侵入受损.

结论:

一个强大的两基因预后模型 (KNTC1和PRC1) 已被开发用于脂肪肉瘤.
这种模型有效地预测了生存率,反映了免疫微环境的异质性,并区分了病态亚型.
结果为LPS的预后分层和个性化治疗策略提供了洞察力.

关键词:

一致的聚类.这是一种诊断标记.微分表达式分析微分表达式分析脂质肉瘤是一种脂质肉瘤.预测模型是一个预测模型.

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