小说2与乳腺癌扩散相关的基因特征:从预测差异性基因表达分析的见解
Asmaa Ibrahim1, Michael S Toss2, Mansour Alsaleem3
1Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham, United Kingdom; Histopathology Department, Faculty of Medicine, Suez Canal University, Egypt.
概括
两个基因签名,ORC6和SKP2,显著调节乳腺癌 (BC) 的扩散. 这些标志物比目前的方法提供了更好的预后预测,可能为BC患者提供新的向治疗指导.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 增殖标记对于评估瘤生长和指导乳腺癌 (BC) 治疗至关重要,但最佳选择仍在争论中.
- 将基因表达与临床和组织病理学数据相结合,提高了对疾病的理解,并确定了预后预测因素.
研究的目的:
- 通过结合形态学,临床和生物信息学数据的综合方法,识别乳腺癌扩散的新型调节剂.
- 发现基因特征,比现有方法更有效地预测患者的生存率.
主要方法:
- 来自癌症基因组图谱 (TCGA) 乳腺癌数据库 (n=1053) 的全幻灯片图像和转录/临床数据的分析.
- 在细胞循环途径中识别差异表达的基因,并预测蛋白质-蛋白质相互作用 (PPI) 网络.
- 利用CytoHubba (Cytoscape插件) 来识别十个枢纽基因,专注于ORC6和SKP2用于跨多个队伍的预后验证.
主要成果:
- 确定了10个枢纽基因,其中ORC6和SKP2成为生存的重要预测因素,独立于线粒度得分和Ki67.
- 跨多个队列的验证证实了ORC6和SKP2.2的预后价值.
- 较高的ORC6和SKP2mRNA和蛋白质表达与乳腺癌的不良预后和患者结果相关.
结论:
- ORC6和SKP2代表着推动乳腺癌扩散的关键基因特征.
- 这些基因与当前的增殖评估相比,表现出更好的预后能力 (线粒细胞评分,Ki67).
- ORC6和SKP2为开发乳腺癌治疗新疗法提供了潜在的目标.
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