同表达网络和乳腺癌炎症和免疫系统标志性基因的生存分析
Ayaka Yakushi1, Masahiro Sugimoto2, Takanori Sasaki1
1Graduate School of Advanced Mathematical and Science, Meiji University, 4-21-1 Nakano, Nakano-ku, Tokyo, 164-8525, Japan.
三级淋巴体结构 (TLS) 对癌症免疫至关重要. 这项研究确定了与TLS形成和炎症相关的七个关键基因,显示了乳腺癌患者的强烈预后价值.
科学领域:
- 免疫学 免疫学 免疫学
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
背景情况:
- 三级淋巴体结构 (TLS) 在癌症免疫反应中至关重要,并且在乳腺癌中具有预后价值.
- TLS形成和瘤相关的高内皮静脉 (TA-HEVs) 与免疫和炎症相关的癌症标志基因 (CHG) 有关.
研究的目的:
- 通过分析免疫和炎症相关的CHG的共同表达网络来确定乳腺癌的预测基因.
- 评估乳腺癌患者中已识别的基因的预后意义.
主要方法:
- 权重基因共同表达网络分析 (WGCNA) 应用于来自GSE86166数据集的382个免疫和炎症相关的CHG.
- 生存分析发现了45个与无复发和整体存活相关的基因的显著模块.
- 网络特性确定了七个关键的预后基因:CD34,CXCL12,F2RL2,JAM2,PROS1,RAPGEF3和SELP.
主要成果:
- 一个由45个基因组成的模块与乳腺癌患者的存活率显著相关.
- 七个关键基因 (CD34,CXCL12,F2RL2,JAM2,PROS1,RAPGEF3,SELP) 显示出高预后准确度,协同优于其他预测因子.
- 这些基因参与TA-HEVs的白细胞透,并与TLS特征呈正相关,表明与TLS密度的关联.
结论:
- 同表达网络分析有效地确定了与癌症免疫和TLS相关的预后基因.
- 已识别的关键基因为乳腺癌提供了高预后预测价值.
- 这种方法可以帮助在TLS中发现新的预后生物标志物.
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