两个队列,一个网络:共识 主管监管者 编排乳头甲状腺癌
Diana Tapia-Carrillo1, Octavio Zambada-Moreno2, Enrique Hernández-Lemus3
1Escuela Nacional Preparatoria Plantel 9 "Pedro de Alba", Universidad Nacional Autónoma de Mexico, Mexico City 07300, Mexico.
International journal of molecular sciences
|November 27, 2025
概括
这项研究通过分析基因表达数据来确定驱动乳头甲状腺癌 (PTC) 的关键转录主调节器 (TMR). 这些发现揭示了参与甲状腺癌进展的复杂信号网络,并为新疗法提供了目标.
科学领域:
- 内分泌学 在内分泌学.
- 基因组学就是基因组学.
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
背景情况:
- 乳头甲状腺癌 (PTC) 是最常见的内分泌恶性瘤.
- 控制PTC进展的转录层次结构尚未得到充分理解.
- 识别主调节器对于理解瘤发育至关重要.
研究的目的:
- 为了确定共识转录主调节器 (TMR) 驱动 PTC.
- 为了划出底层甲状腺瘤发生的转录和荷尔蒙电路.
- 为生物标志物驱动疗法提供监管框架.
主要方法:
- 来自两个独立队列 (TCGA-THCA和GSE33630) 的综合基因表达特征.
- 使用ARACNe-AP重建了调节网络,并用VIPER推断了TMR活动.
- 执行了费舍尔的元分析,用于跨队列的证据整合.
主要成果:
- 确定了50种共享的TMR,主要来自指,叉头,ETS和核受体家族.
- 突出的主要上游监管器包括PBX4,GATAD2A,BHLHE40,HEY2和TEAD4.
- 揭示了NOTCH,MAPK,PI3K,TGF-β信号传递和雌激素反应程序的激活,包括SMAD9在TGF-β信号传递中的新角色.
结论:
- 描述了甲状腺瘤发生的转录和激素电路.
- 建立了一个监管框架,用于开发基于网络活动的PTC生物标志物和疗法.
- 在已识别的信号通路内发现了潜在的治疗点.
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