作为乳腺癌转移的横向预后生物标志物的反应性肌:数字组织病理学和转录基因分析分析的整合
Daniela P Barrera1,2, Muriel A Núñez1, Valentina Cerda I1,2
1Environ, Startup and Spin-Off from Pontificia Universidad Católica de Chile, Santiago 7500571, Chile.
International journal of molecular sciences
|March 14, 2026
概括
乳腺癌 (BC) 的纤维性组成部分反应性肌独立预测转移风险. 在例行病理学中量化这种结构亚型可以改善BC风险分层和患者的治疗结果.
科学领域:
- 在瘤学瘤学.
- 病理学 病理学 病理学
- 生物标志物发现发现
背景情况:
- 远程转移是乳腺癌死亡率的主要原因.
- 当前的预后模型往往忽视了树叶生物学的作用.
- 需要转移风险的亚型独立生物标志物.
研究的目的:
- 量化反应性肌层作为乳腺癌转移风险的亚型独立生物标志物.
- 评估反应性肌层对整体存活率 (OS) 和无转移存活率 (MFS) 的预后值.
- 描述与反应性流层相关的转录基因景观.
主要方法:
- 对182个FFPE原发性乳腺癌活检的回顾性分析.
- 使用H&E和Masson用QuPath进行三色染色的总和活性层的量化.
- 卡普兰-梅尔分析和多变量考克斯回归用于生存结果.
- 用于转录基因分析的RNA测序.
主要成果:
- 高反应性肌层 (截止值53.2%) 独立预测了较短的MFS (HR = 3.76; p < 0.001).
- 不管分子亚型和临床病理学变量,反应性流体是预后性的.
- 具有高反应性侧膜瘤的瘤显示出ECM和益纤维蛋白基因的升高调节,增强了TGF-β信号传递,并减少了T细胞特征.
结论:
- 反应性肌层的定量评估是乳腺癌转移风险的可复制,亚型独立的生物标志物.
- 反应性层膜可以整合到常规的病理学工作流程中,以改善风险分层.
- 这种方法提高了诊断准确度,超出了传统的瘤中心模型.
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