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瘤微环境的转录活性使得三阴性乳腺癌中化疗反应的强大分层成为可能

Yaoyi Dai¹, Xiaoxi Pan², Shuai Guo³

¹Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program of Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA.

Cell reports. Medicine

|February 18, 2026

概括

三重阴性乳腺癌 (TNBC) 的治疗反应各不相同. 一个新的指标,瘤特异性总mRNA表达 (TmS),有效地预测化疗结果,识别出具有有利或不良预后的患者.

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:

三重阴性乳腺癌 (TNBC) 呈现异质的治疗反应.
目前的分子亚型为TNBC患者提供了有限的预后价值.

研究的目的:

引入瘤特定的总mRNA表达 (TmS) 作为TNBC分层的新,途径不可知度量.
评估TmS与现有亚型相比的预后能力,以预测不同人群的化疗结果.

主要方法:

利用来自575名TNBC患者 (西亚和东亚队列) 的匹配RNA/DNA测序数据.
开发并应用TmS,一种解卷度指标,用于患者分层.
分析了与基于TmS的预后相关的分子特征,包括 stromal 和免疫细胞透,增殖和信号通路.

主要成果:

在预测化疗结果方面,TMS显著优于已建立的亚型.
低TmS瘤普遍表现出肌体丰富和免疫排除,表明化学疗法耐药性.
亚洲队列表现出人口特异性特征:高TmS瘤显示细胞周期程序,而低TmS瘤显示免疫功能障碍和RAS/MAPK激活的分歧.

结论:

TmS作为一个强大的工具来分层TNBC患者和预测治疗反应.
流体丰富和免疫排除是耐治疗的TNBC的关键特征.
细胞外矩阵组织是抗性TNBC中保存的治疗漏洞,为跨人群的精密疗法提供了潜力.

关键词:

预后分层的预测分层.转录组可塑性转录组可塑性转录体解卷的解卷过程瘤微环境是一个微环境.

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