The Cancer Genome Atlas Uterine Corpus Endometrial Carcinoma Collection (TCGA-UCEC)

The Cancer Genome Atlas Uterine Corpus Endometrial Carcinoma (TCGA-UCEC) data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA). Clinical, genetic, and pathological data resides in the Genomic Data Commons (GDC) Data Portal while the radiological data is stored on The Cancer Imaging Archive (TCIA). Matched TCGA patient identifiers allow researchers to explore the TCGA/TCIA databases for correlations between tissue genotype, radiological phenotype and patient outcomes. Tissues for TCGA were collected from many sites all over the world in order to reach their accrual targets, usually around 500 specimens per cancer type. For this reason the image data sets are also extremely heterogeneous in terms of scanner modalities, manufacturers and acquisition protocols. In most cases the images were acquired as part of routine care and not as part of a controlled research study or clinical trial.癌症基因组图谱子宫内膜癌（The Cancer Genome Atlas Uterine Corpus Endometrial Carcinoma, TCGA-UCEC）数据集集合，作为一项更大规模研究计划的组成部分——该计划旨在通过为癌症基因组图谱（The Cancer Genome Atlas, TCGA）的研究对象匹配临床影像，搭建聚焦癌症表型与基因型关联的研究共同体。 临床、遗传与病理数据存储于基因组数据共享（Genomic Data Commons, GDC）数据门户，而放射影像数据则存储于癌症影像档案（The Cancer Imaging Archive, TCIA）。匹配的TCGA患者标识符可帮助研究人员在TCGA与TCIA数据库中，探索组织基因型、放射表型与患者预后之间的关联。 TCGA的组织样本采集自全球多个站点，以达成其入组招募目标：每种癌症类型通常招募约500份样本。 正因如此，影像数据集在扫描仪模态、设备厂商与采集协议方面也呈现出极强的异质性。 多数情况下，影像采集属于患者常规诊疗流程的一部分，而非受控研究或临床试验的环节。