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基于乳腺癌恶性细胞分化轨迹的分子亚型和风险预测模型

Penghui Yan¹, Hanlin Sun^2,3, Siqiao Wang⁴

¹Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Journal of cellular and molecular medicine

|August 8, 2025

概括

这项研究引入了基于细胞命运基因的新乳腺癌 (BRCA) 分类系统,改善了预后并确定了骨转移的潜在治疗方法. 这种分子分层提供了个性化的治疗策略.

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:

乳腺癌 (BRCA) 呈现复杂的细胞异质性和分化,影响骨转移和治疗耐药性.
目前的BRCA分类系统无法捕捉到这些复杂性,阻碍了有效的治疗策略.

研究的目的:

开发一种针对乳腺癌的新型分子分层系统 (BRCA),以解决细胞异质性并提高预后准确性.
确定关键的细胞命运相关基因和BRCA骨转移的潜在治疗点.

主要方法:

综合单细胞RNA-seq,空间转录组和TCGA-BRCA队列的大量RNA-seq数据.
使用UMAP,集群,Monocle 2伪时间和LASSO回归进行分析.
建立了监管网络,并确定了潜在的治疗抑制剂.

主要成果:

确定了9个瘤集群,3个空间点类型和11个恶性细胞分化状态.
开发了一种具有差异预后的新型四个亚型BRCA分层系统.
创建了一个具有适度准确性的预后模型 (AUC=0.708),区分高风险和低风险患者.
鉴定了四种骨转移BRCA的潜在抑制剂:纯米素,MS-275,醇和骨.

结论:

基于细胞命运相关标记的BRCA新型分子分层系统,为诊断,预后和个性化治疗提供了重要的翻译潜力.
这些发现为推动BRCA骨转移的监管网络提供了洞察力,并建议针对性的治疗干预措施.

关键词:

乳腺癌 (BRCA) 是一种疾病.与细胞命运相关的标记物.分子亚型分子亚型预测模型预测模型单细胞RNA测序 (scRNA-seq) 是一种空间转录组空间转录组

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