乳腺癌干细胞活动是由瘤微环境中的ME18D基因表达驱动的
De-Yang Guo1, Zhang-Yi Liu1, Qian-Chuan Yi2
1Department of Breast and Thyroid Vascular Surgery, Yongchuan Hospital Affiliated to Chongqing Medical University, Chongqing 402160, China.
World journal of stem cells
|January 29, 2026
概括
这项研究使用多奥米克分析确定了乳腺癌干细胞 (BCSC) 的关键分子特征和预后标志物. 这些发现使得个性化乳腺癌治疗策略的新风险评分模型成为可能.
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:
- 乳腺癌是全球癌症相关死亡的主要原因,乳腺癌干细胞 (BCSCs) 推动瘤进展和治疗耐药性.
- 了解BCSCs的分子机制对于开发有效疗法至关重要.
研究的目的:
- 通过使用多组学,对BCSC进行全面的分子表征.
- 开发基于干细胞相关基因的预后预测模型.
- 分析细胞-细胞通信网络,以实现个性化的治疗策略.
主要方法:
- 用于BCSC表面标记物识别的流细胞计 (CD34,CD45,CD29,CD90,CD105) 的流细胞计.
- 转录组分析以确定差异表达的基因.
- 预后基因选择和风险模型构建的最小绝对缩小和选择操作员 (LASSO) 回归.
- 单细胞RNA测序和空间转录组学用于瘤异质性和空间表达分析.
主要成果:
- CD105,CD90和CD34被确定为高度表达的BCSC表面标记物.
- 鉴定了3837个差异表达的基因,其中10个关键预后基因是通过LASSO回归选择的.
- 一种风险评分模型有效地将高风险与低风险患者群区分开来 (P < 0.001).
- MED18基因在恶性组织中表达高,在细胞细胞通信网络中发挥中心作用.
结论:
- 多omics分析提供了BCSCs的全面分子概况.
- 已识别的表面标记物和关键调节基因具有临床应用的潜力.
- 开发的预后模型为个性化乳腺癌治疗提供了临床价值.
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