The Cancer Genome Atlas Breast Invasive Carcinoma Collection

<p>The Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA) 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 <a href="http://cancergenome.nih.gov/">The Cancer Genome Atlas (TCGA)</a>. Clinical, genetic, and pathological data resides in the <a href="https://portal.gdc.cancer.gov/exploration?filters=%7B%22op%22%3A%22and%22%2C%22content%22%3A%5B%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22cases.project.program.name%22%2C%22value%22%3A%5B%22TCGA%22%5D%7D%7D%2C%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22cases.project.project_id%22%2C%22value%22%3A%5B%22TCGA-BRCA%22%5D%7D%7D%5D%7D">Genomic Data Commons (GDC) Data Portal</a> while the radiological data is stored on The Cancer Imaging Archive (TCIA). </p><p>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. </p><h3>CIP TCGA Radiology Initiative</h3><p>Imaging Source Site (ISS) Groups are being populated and governed by participants from institutions that have provided imaging data to the archive for a given cancer type. Modeled after TCGA analysis groups, ISS groups are given the opportunity to publish a marker paper for a given cancer type per the guidelines in the table above. This opportunity will generate increased participation in building these multi-institutional data sets as they become an open community resource.  Learn more about the <u><strong><a href="/display/Public/TCGA+Breast+Phenotype+Research+Group">TCGA Breast Phenotype Research Group</a></strong></u>.</p>

乳腺癌侵袭性肿瘤基因组图谱（TCGA-BRCA）数据集是构建一个以将癌症表型与基因型相联系为核心的研究社区的一部分。该社区通过提供与来自美国国家癌症基因组图谱（TCGA）[http://cancergenome.nih.gov/]的受试者相匹配的临床图像，致力于实现这一目标。临床、遗传和病理数据存储在基因组数据 Commons（GDC）数据门户[https://portal.gdc.cancer.gov/exploration?filters=%7B%22op%22%3A%22and%22%2C%22content%22%3A%5B%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22cases.project.program.name%22%2C%22value%22%3A%5B%22TCGA%22%5D%7D%7D%2C%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22cases.project.project_id%22%2C%22value%22%3A%5B%22TCGA-BRCA%22%5D%7D%7D%5D%7D]中，而影像学数据则存储在癌症影像存档（TCIA）上。通过匹配的TCGA患者标识符，研究人员能够探索TCGA/TCIA数据库中组织基因型、影像学表型与患者预后之间的相关性。TCGA的组织样本来自世界各地的多个地点，以实现其积累目标，通常每种癌症类型约为500个样本。因此，这些图像数据集在扫描器模式、制造商和采集协议方面也表现出极高的异质性。在大多数情况下，图像的采集是作为常规护理的一部分，而不是作为受控的研究或临床试验的一部分。影像源站点（ISS）小组正在由向档案提供特定癌症类型影像数据的机构成员建立和监管。这些小组以TCGA分析小组为模板，被赋予根据上述指南为特定癌症类型发表标记论文的机会。这一机会将促进构建这些多机构数据集的参与度，因为它们成为开放的社区资源。了解更多关于TCGA乳腺癌表型研究小组[http://www.tcga-breast-phenotype.org/]的信息。