The Clinical Proteomic Tumor Analysis Consortium Sarcomas Collection

<p>This collection contains subjects from the National Cancer Institute’s <u> <a href="https://proteomics.cancer.gov/programs/cptac">Clinical Proteomic Tumor Analysis Consortium</a> </u> Sarcomas (CPTAC-SAR) cohort. CPTAC is a national effort to accelerate the understanding of the molecular basis of cancer through the application of large-scale proteome and genome analysis, or proteogenomics. Radiology and pathology images from CPTAC patients are being collected and made publicly available by The Cancer Imaging Archive to enable researchers to investigate cancer phenotypes which may correlate to corresponding proteomic, genomic and clinical data.</p><p>Imaging from each cancer type will be contained in its own TCIA Collection, with the collection name "CPTAC-<em>cancertype</em>".  Radiology imaging is collected from standard of care imaging performed on patients immediately before the pathological diagnosis, and from follow-up scans where available.  For this reason the radiology image data sets are heterogeneous in terms of scanner modalities, manufacturers and acquisition protocols. Pathology imaging is collected as part of the CPTAC qualification workflow.  </p><p>All CPTAC cohorts are released as either a single combined cohort, or split into <em>Discovery</em> and <em>Confirmatory</em> where applicable.  There are two main types of proteomic studies: discovery proteomics and targeted proteomics. The term "discovery proteomics" is in reference to "untargeted" identification and quantification of a maximal number of proteins in a biological or clinical sample. The term “targeted proteomics” refers to quantitative measurements on a defined subset of total proteins in a biological or clinical sample, often following the completion of discovery proteomics studies to confirm interesting targets selected. Commonly used proteomic technologies and platforms are different types of mass spectrometry and protein microarrays depending on the needs, throughput and sample input requirement of an analysis, with further development on nanotechnologies and automation in the pipeline in order to improve the detection of low abundance proteins, increase throughput, and selectively reach a target protein <em>in vivo</em>.  Once the protein targets of interest are identified, high-throughput targeted assays are developed for confirmatory studies: tests to affirm that the initial tests were accurate. A summary of CPTAC imaging efforts can be found on the <u><a href="https://wiki.cancerimagingarchive.net/display/Public/CPTAC+Imaging+Proteomics">CPTAC Imaging Proteomics</a></u> page. </p><h3>CPTAC Imaging Special Interest Group</h3><p>You can join the <a class="external-link" href="https://groups.google.com/forum/#!forum/cptac-imaging-sig" rel="nofollow">CPTAC Imaging Special Interest Group </a>to be notified of webinars & data releases, collaborate on common data wrangling tasks and seek out partners to explore research hypotheses!  Artifacts from previous webinars such as slide decks and video recordings can be found on the <a href="https://wiki.cancerimagingarchive.net/display/Public/CPTAC+SIG+Webinars" rel="nofollow">CPTAC SIG Webinars</a> page.</p>

本集合汇聚了来自国家癌症研究所（National Cancer Institute）临床蛋白质组肿瘤分析联盟（Clinical Proteomic Tumor Analysis Consortium，简称CPTAC）软组织肉瘤（Sarcomas）队列的数据。CPTAC是一项旨在通过大规模蛋白质组学和基因组分析（蛋白质组学）加速对癌症分子基础理解的国家级项目。CPTAC患者的影像学资料，包括放射学和病理学图像，正在由癌症影像档案库（The Cancer Imaging Archive）收集并公开，以促进研究者对可能与蛋白质组、基因组及临床数据相对应的癌症表型进行研究。

每种癌症类型的影像学资料都将包含在其独立的TCIA集合中，集合名称为“CPTAC-<em>癌症类型</em>”。放射学影像资料收集自病理诊断前的标准护理影像以及可用的随访扫描。因此，放射学影像数据集在扫描模态、制造商和采集协议方面具有异质性。病理学影像资料作为CPTAC资格流程的一部分进行收集。

所有CPTAC队列均以单个综合队列或根据适用情况分为<em>发现</em>和<em>验证</em>队列发布。蛋白质组学研究主要有两种类型：发现蛋白质组学和靶向蛋白质组学。‘发现蛋白质组学’一词指的是对生物或临床样本中尽可能多的蛋白质进行‘非靶向’鉴定和定量。而‘靶向蛋白质组学’则指对生物或临床样本中定义的蛋白质子集进行定量测量，通常在完成发现蛋白质组学研究后，对选定的感兴趣的目标进行验证。根据分析的需求、通量和样本输入要求，常用的蛋白质组学技术和平台包括不同类型的质谱和蛋白质微阵列。纳米技术和自动化技术的进一步发展旨在提高低丰度蛋白质的检测能力、增加通量并选择性地实现<em>体内</em>靶向。一旦确定了感兴趣的蛋白质目标，将开发高通量靶向分析以进行验证研究：这些测试旨在确认初步测试的准确性。CPTAC影像研究工作总结可参考CPTAC影像蛋白质组（CPTAC Imaging Proteomics）页面。

您可以加入CPTAC影像特别兴趣小组（CPTAC Imaging Special Interest Group），以接收网络研讨会和数据发布的通知，共同协作完成数据整理任务，并寻求合作伙伴以探索研究假设。往期网络研讨会的资料，如幻灯片和视频记录，可在CPTAC SIG网络研讨会（CPTAC SIG Webinars）页面找到。