瑞士苏黎世大学Bernd Bodenmiller研究小组绘制了乳腺癌的单细胞病理学图谱。相关论文于2020年1月20日在线发表在《自然》上。
研究人员使用了成像细胞计数法来同时量化35种生物标志物，从而获得352例乳腺癌患者的肿瘤组织的720幅高维病理图像，并提供281例患者的长期生存数据。在空间上解析的单细胞分析确定了肿瘤和基质单细胞的表型、它们的组织及其异质性，并使乳腺癌组织的细胞结构能够根据细胞组成和组织结构进行表征。这些分析揭示了肿瘤微环境和乳腺癌新亚组的多细胞特征，它们与不同的临床结果相关。因此，空间分辨的单细胞分析能够以疾病相关的方式表征肿瘤内表型异质性，并有可能为患者提供特定的诊断信息。
据了解，单细胞分析显示人类肿瘤之间以及内部存在广泛的异质性，但是目前作为许多临床决策基础的组织学分层并未反映出复杂的单细胞表型及其空间背景。
附：英文原文
Title: The single-cell pathology landscape of breast cancer
Author: Hartland W. Jackson, Jana R. Fischer, Vito R. T. Zanotelli, H. Raza Ali, Robert Mechera, Savas D. Soysal, Holger Moch, Simone Muenst, Zsuzsanna Varga, Walter P. Weber, Bernd Bodenmiller
Issue&Volume: 2020-01-20
Abstract: Single-cell analyses have revealed extensive heterogeneity between and within human tumours1,2,3,4, but complex single-cell phenotypes and their spatial context are not at present reflected in the histological stratification that is the foundation of many clinical decisions. Here we use imaging mass cytometry5 to simultaneously quantify 35 biomarkers, resulting in 720 high-dimensional pathology images of tumour tissue from 352 patients with breast cancer, with long-term survival data available for 281 patients. Spatially resolved, single-cell analysis identified the phenotypes of tumour and stromal single cells, their organization and their heterogeneity, and enabled the cellular architecture of breast cancer tissue to be characterized on the basis of cellular composition and tissue organization. Our analysis reveals multicellular features of the tumour microenvironment and novel subgroups of breast cancer that are associated with distinct clinical outcomes. Thus, spatially resolved, single-cell analysis can characterize intratumour phenotypic heterogeneity in a disease-relevant manner, with the potential to inform patient-specific diagnosis.
DOI: 10.1038/s41586-019-1876-x
Source: https://www.nature.com/articles/s41586-019-1876-x
Nature：《自然》，创刊于1869年。隶属于施普林格·自然出版集团，最新IF：69.504
官方网址：http://www.nature.com/
投稿链接：http://www.nature.com/authors/submit_manuscript.html
本期文章：《自然》：Online/在线发表
