基于机器学习的查和验证与炎相关的预后基因和宫癌的潜在药物
Zongchen Hou1, Guiju Tang1, Hang Chu2
1Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei, 430022, P.R. China.
BMC medical genomics
|November 14, 2025
概括
热,一个被编程的细胞死亡,在子宫癌中起作用. 研究人员确定了SPP1,VEGFA和CXCL8作为与预后相关的关键烧化相关基因,为宫癌提供了潜在的生物标志物.
科学领域:
- 在瘤学瘤学.
- 细胞生物学 细胞生物学
- 生物信息学是一种生物信息学.
背景情况:
- 热,一种新的编程细胞死亡途径,与各种癌症有关.
- 在宫癌的发展中,热的确切作用和机制尚不清楚.
研究的目的:
- 为了识别与灭相关的基因在宫癌中差异表达.
- 利用这些基因建立一个用于宫癌预后的预测模型.
- 探索子宫癌中关键的热致死基因的功能性作用和免疫透.
主要方法:
- 对基因表达综合 (GEO) 和癌症基因组图谱 (TCGA) 数据集的生物信息分析.
- 用于预测模型构建的Lasso回归.
- 基因本体学 (GO),KEGG通路和蛋白质-蛋白质相互作用 (PPI) 网络分析.
- CIBERSORT用于免疫细胞透分析,DGIdb用于药物基因相互作用预测.
- 定量实时PCR (qRT-PCR) 验证.量化实时PCR验证.
主要成果:
- 鉴定出了19个与炎症和细胞反应相关的灭相关基因.
- 为7个基因构建了一个预测模型,确定SPP1,VEGFA和CXCL8与宫癌预后有显著相关性.
- 在宫癌组织中,SPP1,VEGFA和CXCL8的表达被上调.
- 这些基因与免疫细胞 (巨细胞,Th2,中性粒细胞) 有明显的关联.
- 在实验室中,SPP1敲击抑制了宫癌细胞的增殖和迁移.
结论:
- 鉴定出SPP1,VEGFA和CXCL8是宫癌中关键的菌相关基因.
- 这些基因可以作为临床应用的潜在预后生物标志物.
- 有针对性的药物预测表明了宫癌的治疗策略.
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