Department of Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland.
Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland.
Sci Data. 2017 Mar 14;4:170014. doi: 10.1038/sdata.2017.14.
Microscopy image data of human cancers provide detailed phenotypes of spatially and morphologically intact tissues at single-cell resolution, thus complementing large-scale molecular analyses, e.g., next generation sequencing or proteomic profiling. Here we describe a high-resolution tissue microarray (TMA) image dataset from a cohort of 71 prostate tissue samples, which was hybridized with bright-field dual colour chromogenic and silver in situ hybridization probes for the tumour suppressor gene PTEN. These tissue samples were digitized and supplemented with expert annotations, clinical information, statistical models of PTEN genetic status, and computer source codes. For validation, we constructed an additional TMA dataset for 424 prostate tissues, hybridized with FISH probes for PTEN, and performed survival analysis on a subset of 339 radical prostatectomy specimens with overall, disease-specific and recurrence-free survival (maximum 167 months). For application, we further produced 6,036 image patches derived from two whole slides. Our curated collection of prostate cancer data sets provides reuse potential for both biomedical and computational studies.
人类癌症的显微镜图像数据以单细胞分辨率提供了空间和形态上完整组织的详细表型，从而补充了大规模的分子分析，例如下一代测序或蛋白质组学分析。在这里，我们描述了来自 71 例前列腺组织样本队列的高分辨率组织微阵列 (TMA) 图像数据集，该数据集与用于肿瘤抑制基因 PTEN 的明场双色显色和银原位杂交探针杂交。这些组织样本经过数字化处理，并附有专家注释、临床信息、PTEN 遗传状态的统计模型和计算机源代码。为了验证，我们构建了另外一个包含 424 个前列腺组织的 TMA 数据集，并用 FISH 探针对其进行了杂交，并对包含 339 个根治性前列腺切除术标本的亚组进行了生存分析，包括总生存、疾病特异性生存和无复发生存（最长 167 个月）。为了应用，我们进一步从两个全玻片中生成了 6036 个图像补丁。我们精心整理的前列腺癌数据集为生物医学和计算研究提供了重复使用的潜力。
