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一个卷积神经网络STIFMap揭示了乳腺癌中肌硬度和EMT之间的关联
Connor Stashko1,2, Mary-Kate Hayward1,2, Jason J Northey1,2
1Department of Surgery, University of California, San Francisco, CA, USA.
Nature communications
|June 15, 2023
概括
瘤的硬度各不相同,并且与癌细胞的变化有关. 一种名为STIFMap的新方法绘制了乳腺瘤中这种机械异质性的图谱,揭示了树皮硬度和瘤进展标志物之间的联系.
科学领域:
- 生物医学工程 生物医学工程
- 癌症生物学 癌症生物学
- 材料科学 材料科学 材料科学
背景情况:
- 瘤内异质性与患者的不良结果有关.
- 流体硬化是癌症的一个已知的特征.
- 瘤内硬度异质性的存在和影响尚不清楚.
研究的目的:
- 为了研究人类乳腺瘤的刚性异质性.
- 为了确定瘤硬度变化是否与瘤细胞异质性相关.
- 开发一种方法来量化个体瘤细胞所经历的结构硬.
主要方法:
- 空间转换推理力图 (STIFMap) 的开发.
- 使用计算机视觉和原子力显微镜 (AFM) 进行自动缩进.
- 采用在原形态和AFM数据上训练的卷积神经网络来预测微米分辨率的树皮弹性.
主要成果:
- 在人类乳腺瘤中,STIFMap成功量化了树皮硬度异质性.
- 识别了高弹性区域,并用机械激活标记器进行了定位.
- 这些硬区域还与表皮细胞转化为介质细胞转化 (EMT) 的标志物相关.
结论:
- STIFMap是一个有价值的工具,用于在多个尺度上评估瘤的机械异质性.
- 流体度异质性与驱动瘤细胞异质性有关.
- 研究结果表明,瘤微环境的机械特性与癌症进展之间存在联系.
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