通过多omics数据探索甲状腺癌和乳腺癌之间的并发症的分子机制
Rui Yang1, Jiayi Li1, Hongyang Zhang1
1Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Scientific reports
|July 2, 2025
概括
甲状腺癌和乳腺癌有着共同的分子联系. 生物信息学发现了涉及这两种疾病的七个关键基因,为这些常见的女性恶性瘤提供了新的诊断和治疗点.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 甲状腺癌 (TC) 和乳腺癌 (BC) 在女性中很常见,可能有共同的分子途径.
- 了解它们共同发生的分子基础对于确定新的治疗策略至关重要.
研究的目的:
- 探索涉及TC和BC共同发生的分子调节网络和关键基因.
- 使用生物信息学方法识别潜在的诊断标记物和治疗点.
主要方法:
- 对TC (GSE3467) 和BC (GSE61304) 数据集的基因表达差异分析.
- 权重基因共同表达网络分析 (WGCNA) 来识别与疾病相关的基因模块.
- 核心基因鉴定,功能丰富分析 (GO,KEGG),免疫透分析和mRNA-miRNA网络构建.
主要成果:
- 确定了58个重叠的差异表达基因和7个关键的中心基因,这些基因在TC和BC中都是共同的.
- 枢纽基因在两种癌症中都与自和铁亡途径有显著的关联.
- 发现了六种关键的调节性miRNA和六种TC和BC的潜在治疗剂.
结论:
- 这项研究阐明了TC和BC之间潜在的并发机制.
- 确定了新的枢纽基因,miRNA和干预治疗点.
- 提供了对这些流行恶性瘤的病原和潜在生物标志物的洞察.
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