染色体图像的无监督表示学习识别了DCIS中细胞状态和组织组织的变化
Xinyi Zhang1,2, Saradha Venkatachalapathy3,4, Daniel Paysan3,4
1Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, USA.
Nature communications
|July 19, 2024
概括
染色体成像识别了在位管道癌 (DCIS) 中的八种细胞状态,这是一种前入侵性乳腺癌. 这些细胞状态和它们的空间组织预测疾病的阶段,提供了新的瘤生物标志物.
科学领域:
- 在瘤学瘤学.
- 生物医学成像技术 生物医学成像技术
- 计算病理学计算病理学
背景情况:
- 在位管道癌 (DCIS) 是一种前入侵性乳腺病变,可以发展为侵入性乳腺癌.
- 侵袭性乳腺癌是癌症相关死亡的重要原因.
- 精确识别和分期DCIS对于有效的治疗和患者的结果至关重要.
研究的目的:
- 研究染色体成像用于识别与DCIS相关的细胞和组织特征的实用性.
- 为了确定从染色质图像中获得的形态细胞状态是否可以作为DCIS进展的生物标志物.
- 评估细胞状态空间组织对疾病阶段和表型类别的预测价值.
主要方法:
- 来自560个样本的122名女性患者的大规模组织微阵列数据集的生成.
- 对染色体图像应用表示学习技术,以识别细胞形态状态.
- 分析不同疾病阶段和表型类别的细胞状态比例和空间组织.
主要成果:
- 识别了八种不同的形态细胞状态和组织特征,仅使用染色体成像来表征DCIS.
- 观察到所有已识别的细胞状态都存在于所有疾病阶段,尽管比例不同.
- 证明在疾病阶段跨越细胞状态的空间组织的变化是疾病阶段和表型类别的预测.
结论:
- 染色体成像是一种强大的工具,用于评估DCIS中的细胞状态和疾病阶段.
- 通过染色体成像识别的形态细胞状态可以作为有效的瘤生物标志物.
- 细胞状态的空间组织为DCIS进展和特征提供了宝贵的见解.
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