通过生物信息学分析识别与大脑转移的乳腺癌相关的关键基因
Mingjun Tang1, Xi Su1, Zipin Zhao1
1State Key Laboratory of Advanced Medical Materials and Devices, Medical School, Tianjin University, Tianjin, China.
Current medicinal chemistry
|July 18, 2025
概括
乳腺癌大脑转移 (BCBM) 涉及344个不同表达的基因,其中9个枢纽基因和4个转录因子可能通过影响卵细胞循环来驱动BCBM. 这些发现可能有助于早期诊断和治疗.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 分子生物学分子生物学
背景情况:
- 远程转移,特别是在大脑,是乳腺癌 (BC) 死亡的主要原因.
- 驱动乳腺癌大脑转移 (BCBM) 的分子机制尚未完全理解.
研究的目的:
- 确定参与BCBM的关键基因和途径.
- 探索BCBM的潜在诊断和治疗点.
主要方法:
- 从GEO数据集 (GSE100534,GSE52604) 中分析基因表达特征.
- 使用R的limma包,识别差异表达基因 (DEGs).
- 通过Metascape进行丰富分析 (GO,KEGG),PPI网络构建 (STRING,Cytoscape) 和枢纽基因识别 (MCODE,Cyto-Hubba).
- 对于转录因子 (TF) 的无复发生存率 (RFS) 和监管网络构建 (iRegulon) 的卡普兰-梅尔分析.
主要成果:
- 确定了344个DEG (182个上调监管,162个下调监管).
- 一个网络模块揭示了与BC患者的RFS差相关的9个枢纽基因.
- 对KEGG途径的分析表明,BCBM与卵细胞循环之间存在联系.
- 四个TFs (E2F4,SIN3A,FOXM1,TFDP1) 被确定为枢纽基因的调节者.
结论:
- BCBM可能促进卵细胞循环,影响卵细胞成熟和分裂.
- 确定了9个枢纽基因和4个TFs在BCBM中具有潜在的关键作用.
- 这些发现可能有助于早期诊断,并为BCBM提出新的治疗策略.
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