{"id":5723,"date":"2023-09-04T03:21:17","date_gmt":"2023-09-04T03:21:17","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/cptac-coad\/"},"modified":"2023-09-13T12:04:52","modified_gmt":"2023-09-13T12:04:52","slug":"cptac-coad","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/cptac-coad\/","title":{"rendered":"CPTAC-COAD"},"featured_media":0,"template":"","citation-tax":[],"cancer_types":["Colon Cancer"],"citations":[4702,2925,4703],"collection_doi":"10.7937\/TCIA.YZWQ-ZZ63","collection_download_info":"Click the Versions tab for more info about data releases.","collection_downloads":[5313],"full_export":"<div class=\"contentLayout2\">\n<div class=\"columnLayout two-right-sidebar\" data-layout=\"two-right-sidebar\">\n<div class=\"cell normal\" data-type=\"normal\">\n<div class=\"innerCell\">\n<h1 id=\"TheClinicalProteomicTumorAnalysisConsortiumColonAdenocarcinomaCollection(CPTACCOAD)-Summary\">Summary<\/h1><p><br\/><\/p>This collection contains subjects from the National Cancer Institute\u2019s <u><a href=\"https:\/\/proteomics.cancer.gov\/programs\/cptac\" class=\"external-link\" rel=\"nofollow\">Clinical Proteomic Tumor Analysis Consortium<\/a><\/u> CPTAC\u00a0Colon Adenocarcinoma 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 style=\"text-align: left;\"><br\/><\/p><p style=\"text-align: left;\"><span>Imaging from each cancer type will be contained in its own TCIA Collection, with the collection name &quot;CPTAC-<\/span><em>cancertype<\/em><span>&quot;. \u00a0Radiology imaging is collected from standard of care imaging performed on patients immediately before the pathological diagnosis, and from follow-up scans where available.\u00a0 For this reason the radiology image data sets are heterogeneous in terms of scanner modalities, manufacturers and acquisition protocols.\u00a0Pathology imaging is collected as part of the CPTAC qualification workflow. \u00a0<\/span><\/p><p style=\"text-align: left;\"><span>All CPTAC cohorts are released <span style=\"color: rgb(33,37,41);\">as either a single combined cohort, or split into\u00a0<\/span><em style=\"text-align: left;\">Discovery<\/em><span style=\"color: rgb(33,37,41);\">\u00a0and\u00a0<\/span><em style=\"text-align: left;\">Confirmatory<\/em><span style=\"color: rgb(33,37,41);\">\u00a0where applicable<\/span>.\u00a0 There are two main types of proteomic studies: discovery proteomics and targeted proteomics. The term &quot;discovery proteomics&quot; is in reference to &quot;untargeted&quot; identification and quantification of a maximal number of proteins in a biological or clinical sample. The term \u201ctargeted proteomics\u201d 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\u00a0<em>in vivo<\/em>. \u00a0Once 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\u00a0<\/span><u><a rel=\"nofollow\" style=\"text-decoration: none;\" href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/Public\/CPTAC+Imaging+Proteomics\">CPTAC Imaging Proteomics<\/a><\/u><span>\u00a0page.\u00a0<\/span><\/p><h3 id=\"TheClinicalProteomicTumorAnalysisConsortiumColonAdenocarcinomaCollection(CPTACCOAD)-CPTACImagingSpecialInterestGroup\"><span style=\"color: rgb(34,34,34);\">CPTAC Imaging Special Interest Group<\/span><\/h3><p><span style=\"color: rgb(34,34,34);\"> <span style=\"color: rgb(29,33,41);\">You can join the<\/span>\u00a0<a class=\"external-link\" href=\"https:\/\/groups.google.com\/forum\/#!forum\/cptac-imaging-sig\" style=\"text-decoration: underline;\" rel=\"nofollow\"><span>CPTAC Imaging Special Interest Group<\/span> <\/a><span style=\"color: rgb(29,33,41);\">to be notified of webinars &amp; data releases, collaborate on common data wrangling tasks and seek out partners to explore research hypotheses!\u00a0 Artifacts from previous webinars such as slide decks and video recordings can be found on the\u00a0<a style=\"text-decoration: underline;\" href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/Public\/CPTAC+SIG+Webinars\" rel=\"nofollow\">CPTAC SIG Webinars<\/a>\u00a0page.<\/span> <\/span><\/p><p><br\/><\/p><div class=\"tab-style-builtin\"><div class=\"localtabs-macro\"><div class=\"aui-tabs horizontal-tabs\" role=\"application\" data-aui-responsive=\"true\"><ul class=\"tabs-menu\"><li class=\"menu-item bv-localtab  active-tab \"><a href=\"#702278521c8093a787eb4074b89c16477d123211\"><strong>Data Access<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#70227852839b698554bb4f9c8aa4ec3fc5b43793\"><strong>Detailed Description<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#70227852669513de6d0f4645a7174d00aad12a71\"><strong>Citations &amp; Data Usage Policy<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#702278528d2a58152f204a0c97ddd20e81847fdf\"><strong>Versions<\/strong><\/a> <\/li><\/ul><div class=\"tabs-pane  active-pane \" id=\"702278521c8093a787eb4074b89c16477d123211\" active=\"true\" name=\"Data Access\" ><h3 id=\"TheClinicalProteomicTumorAnalysisConsortiumColonAdenocarcinomaCollection(CPTACCOAD)-DataAccess\">Data Access<\/h3><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\" style=\"width: 90.169%;\"><colgroup><col style=\"width: 27.8419%;\"\/><col style=\"width: 36.1399%;\"\/><col style=\"width: 36.0307%;\"\/><\/colgroup><tbody><tr><th class=\"confluenceTh\">Data Type<\/th><th class=\"confluenceTh\">Download all or Query\/Filter<\/th><th class=\"confluenceTh\">License<\/th><\/tr><tr><td class=\"confluenceTd\">Tissue Slide Images (SVS, 66.69 GB)<\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p><br\/>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/faspex.cancerimagingarchive.net\/aspera\/faspex\/external_deliveries\/68?passcode=4923758254bc7d015e8f6cc4175ee25e388c36dd\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/pathdb.cancerimagingarchive.net\/imagesearch?f[0]=collection:cptac_coad\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-search-color\"><i class=\"fa fa-search\" \/> Search<\/button><\/a>\u00a0\n<\/span><\/p><\/div><p>(Download and apply the\u00a0<a href=\"https:\/\/www.ibm.com\/aspera\/connect\/\" class=\"external-link\" rel=\"nofollow\">IBM-Aspera-Connect plugin\u00a0<\/a>to your browser to retrieve this faspex package)\u00a0<\/p><\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p>\n<a href=\"https:\/\/creativecommons.org\/licenses\/by\/3.0\/\" class=\"external-link\" rel=\"nofollow\">CC BY 3.0<\/a><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><p>Click the Versions tab for more info about data releases.<\/p><p class=\"xmsonormal\" style=\"text-align: left;\"><span style=\"color: black;\">\n<h3 id=\"TheClinicalProteomicTumorAnalysisConsortiumColonAdenocarcinomaCollection(CPTACCOAD)-AdditionalResourcesforthisDataset\">Additional Resources for this Dataset<\/h3>\n<p>The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.<\/p><\/span><\/p><ul style=\"text-align: left;\"><li class=\"auto-cursor-target\"><a href=\"https:\/\/portal.imaging.datacommons.cancer.gov\/explore\/filters\/?collection_id=cptac_coad\" class=\"external-link\" rel=\"nofollow\">Imaging Data Commons (IDC)<\/a><span>\u00a0<\/span>(Imaging Data)<\/li><li><a href=\"https:\/\/pdc.cancer.gov\/pdc\/browse\/filters\/study_name:Prospective%20Colon%20VU%20Proteome%7CProspective%20Colon%20PNNL%20Proteome%20Qeplus%7CProspective%20Colon%20PNNL%20Phosphoproteome%20Lumos\" class=\"external-link\" rel=\"nofollow\">Proteomic Data Commons (PDC)<\/a><span>\u00a0<\/span>(Proteomic &amp; Clinical Data)<\/li><li class=\"auto-cursor-target\"><a href=\"https:\/\/portal.gdc.cancer.gov\/repository?facetTab=cases&amp;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.primary_site%22%2C%22value%22%3A%5B%22colon%22%5D%7D%7D%2C%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22cases.project.program.name%22%2C%22value%22%3A%5B%22CPTAC%22%5D%7D%7D%5D%7D\" class=\"external-link\" rel=\"nofollow\">Genomic Data Commons (GDC)<\/a><span>\u00a0(Genomic &amp; Clinical Data)<\/span><\/li><\/ul><\/div><div class=\"tabs-pane \" id=\"70227852839b698554bb4f9c8aa4ec3fc5b43793\" name=\"Detailed Description\" ><h3 id=\"TheClinicalProteomicTumorAnalysisConsortiumColonAdenocarcinomaCollection(CPTACCOAD)-DetailedDescription\">Detailed Description<\/h3><div class=\"table-wrap\"><table class=\"wrapped fixed-table confluenceTable\"><colgroup> <col style=\"width: 167.0px;\"\/> <col style=\"width: 160.0px;\"\/> <\/colgroup><tbody><tr><th class=\"confluenceTh\"><br\/><\/th><th style=\"text-align: center;\" colspan=\"1\" class=\"confluenceTh\">Pathology Image Statistics<\/th><\/tr><tr><td class=\"confluenceTd\"><p>Modalities<\/p><\/td><td style=\"text-align: center;\" colspan=\"1\" class=\"confluenceTd\">Pathology<\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Participants<\/p><\/td><td style=\"text-align: center;\" colspan=\"1\" class=\"confluenceTd\">106<\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Images<\/p><\/td><td style=\"text-align: center;\" colspan=\"1\" class=\"confluenceTd\">373<\/td><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">Images Size (GB)<\/td><td style=\"text-align: center;\" colspan=\"1\" class=\"confluenceTd\">66.69<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"auto-cursor-target\" style=\"text-align: left;\" id=\"TheClinicalProteomicTumorAnalysisConsortiumColonAdenocarcinomaCollection(CPTACCOAD)-AccessingtheProteomic&amp;GenomicClinicalData\">Accessing the Proteomic &amp; Genomic Clinical Data<\/h3><p class=\"auto-cursor-target\" style=\"text-align: left;\">To access\/download the clinical data on the<span>\u00a0<\/span><strong>Proteomic Data Commons (PDC)<span>\u00a0<\/span><\/strong>and<span>\u00a0<\/span><span><strong>Genomic Data Commons (GDC)<\/strong>,\u00a0<\/span><span>once you have identified the data of your interest, move to the 'Clinical' tab on the browse page. Select the checkbox to select a specific row, all rows on the page or all pages and click the export clinical manifest button in CSV or TSV format on the GDC, or TSV or JSON format on the PDC.<\/span><\/p><h3 id=\"TheClinicalProteomicTumorAnalysisConsortiumColonAdenocarcinomaCollection(CPTACCOAD)-ANoteaboutTCIAandCPTACSubjectIdentifiers\">A Note about TCIA and CPTAC Subject Identifiers<\/h3><p>A subject with radiology and pathology images stored in TCIA is identified with a de-identified project Patient ID that is identical to the Patient ID of the same subject with clinical, proteomic, and\/or genomic data stored in other CPTAC databases and web sites.<\/p><\/div><div class=\"tabs-pane \" id=\"70227852669513de6d0f4645a7174d00aad12a71\" name=\"Citations BITVOODOO_ANDamp; Data Usage Policy\" ><h3 id=\"TheClinicalProteomicTumorAnalysisConsortiumColonAdenocarcinomaCollection(CPTACCOAD)-Citations&amp;DataUsagePolicy\">Citations &amp; Data Usage Policy\u00a0<\/h3><p class=\"auto-cursor-target\">\n<p>\nUsers must abide by the <a href=\"https:\/\/wiki.cancerimagingarchive.net\/x\/c4hF\" class=\"external-link\" rel=\"nofollow\">TCIA Data Usage Policy and Restrictions<\/a>. Attribution should include references to the following citations:\n<\/p><\/p><div class=\"confluence-information-macro confluence-information-macro-information\"><p class=\"title\">Data Citation<\/p><span class=\"aui-icon aui-icon-small aui-iconfont-info confluence-information-macro-icon\"><\/span><div class=\"confluence-information-macro-body\"><p><span style=\"color: rgb(102,102,102);\"><span style=\"color: rgb(0,0,0);\">National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC). (2020). <strong>The Clinical Proteomic Tumor Analysis Consortium Colon Adenocarcinoma Collection (CPTAC-COAD)<\/strong> (Version 1) [Data set]. The Cancer Imaging Archive.<\/span> <a href=\"https:\/\/doi.org\/10.7937\/TCIA.YZWQ-ZZ63\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.7937\/TCIA.YZWQ-ZZ63<\/a><\/span><\/p><\/div><\/div><div class=\"confluence-information-macro confluence-information-macro-information\"><p class=\"title\">Acknowledgement<\/p><span class=\"aui-icon aui-icon-small aui-iconfont-info confluence-information-macro-icon\"><\/span><div class=\"confluence-information-macro-body\"><p><span style=\"color: rgb(34,34,34);\">The CPTAC program requests that publications using data from this program include the following statement: \u201c<strong>Data used in this publication were generated by the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC)<\/strong>.\u201d<\/span><\/p><\/div><\/div><div class=\"confluence-information-macro confluence-information-macro-information\"><p class=\"title\">TCIA Citation<\/p><span class=\"aui-icon aui-icon-small aui-iconfont-info confluence-information-macro-icon\"><\/span><div class=\"confluence-information-macro-body\"><p class=\"p1\">Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., &amp; Prior, F. (2013). <strong>The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository<\/strong>. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045\u20131057). Springer Science and Business Media LLC<span class=\"s1\">. <a href=\"https:\/\/doi.org\/10.1007\/s10278-013-9622-7\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.1007\/s10278-013-9622-7<\/a><\/span><\/p><\/div><\/div><h3 id=\"TheClinicalProteomicTumorAnalysisConsortiumColonAdenocarcinomaCollection(CPTACCOAD)-OtherPublicationsUsingThisData\">Other Publications Using This Data<\/h3><p><span>TCIA maintains<\/span> <a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\" class=\"external-link\" rel=\"nofollow\"> a list of publications<\/a> <span> which leverage TCIA data. <\/span> If you have a manuscript you'd like to add please\u00a0<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\" class=\"external-link\" rel=\"nofollow\">contact TCIA's Helpdesk<\/a>.<\/p><\/div><div class=\"tabs-pane \" id=\"702278528d2a58152f204a0c97ddd20e81847fdf\" name=\"Versions\" ><h3 id=\"TheClinicalProteomicTumorAnalysisConsortiumColonAdenocarcinomaCollection(CPTACCOAD)-Version1(Current):2021\/02\/02\">Version 1 (Current) :\u00a02021\/02\/02<\/h3><div class=\"table-wrap\"><table class=\"wrapped confluenceTable\"><colgroup> <col\/> <col\/> <\/colgroup><tbody><tr><th class=\"confluenceTh\">Data Type<\/th><th class=\"confluenceTh\">Download all or Query\/Filter<\/th><\/tr><tr><td class=\"confluenceTd\">Tissue Slide Images (SVS, 66.69 GB)<\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p>\n\n<span class=\"confluence-embedded-file-wrapper confluence-embedded-manual-size\">\n   <a href=\"https:\/\/faspex.cancerimagingarchive.net\/aspera\/faspex\/external_deliveries\/68?passcode=4923758254bc7d015e8f6cc4175ee25e388c36dd\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span>\u00a0<a href=\"https:\/\/cancerimagingarchive.net\/datascope\/cptac\/home\/?filter={%22Tumor%22:%5B%22CCRCC%22%5D,%22Image_Available%22:%5B%22Yes%22%5D}\" class=\"external-link\" rel=\"nofollow\"><\/a><\/p><\/div><\/td><\/tr><tr><td class=\"confluenceTd\">Clinical Data (external)<\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p><a href=\"https:\/\/pdc.cancer.gov\/pdc\/browse\/filters\/study_name:Prospective%20Colon%20VU%20Proteome%7CProspective%20Colon%20PNNL%20Proteome%20Qeplus%7CProspective%20Colon%20PNNL%20Phosphoproteome%20Lumos\" class=\"external-link\" rel=\"nofollow\">Proteomic Data Commons<\/a><\/p><\/div><\/td><\/tr><tr><td class=\"confluenceTd\"><span>Proteomic Data (external)<\/span><\/td><td class=\"confluenceTd\"><p><a href=\"https:\/\/cptac-data-portal.georgetown.edu\/study-summary\/S037\" class=\"external-link\" rel=\"nofollow\">Proteomic Data Commons<\/a><\/p><\/td><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">Genomics Data (external)\u00a0<\/td><td colspan=\"1\" class=\"confluenceTd\"><div class=\"content-wrapper\"><p><a href=\"https:\/\/portal.gdc.cancer.gov\/repository?facetTab=cases&amp;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.primary_site%22%2C%22value%22%3A%5B%22colon%22%5D%7D%7D%2C%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22cases.project.program.name%22%2C%22value%22%3A%5B%22CPTAC%22%5D%7D%7D%5D%7D\" class=\"external-link\" rel=\"nofollow\">Genomic Data Commons<\/a><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/div><\/div><\/div>\n<\/div>\n<div class=\"cell aside\" data-type=\"aside\">\n<div class=\"innerCell\">\n<p><br\/><\/p><p><span class=\"confluence-embedded-file-wrapper\"><img class=\"confluence-embedded-image\" draggable=\"false\" src=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/embedded-page\/Public\/The%20Clinical%20Proteomic%20Tumor%20Analysis%20Consortium%20Colon%20Adenocarcinoma%20Collection%20(CPTAC-COAD)\/cptac-logo.png?api=v2\"><\/span><\/p><\/div>\n<\/div>\n<\/div>\n<\/div>","versions":false,"additional_resources":"The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.\n \n<ul><li><a href=\"https:\/\/portal.imaging.datacommons.cancer.gov\/explore\/filters\/?collection_id=cptac_coad\">Imaging Data Commons (IDC)<\/a>\u00a0(Imaging Data)<\/li><li><a href=\"https:\/\/pdc.cancer.gov\/pdc\/browse\/filters\/study_name:Prospective%20Colon%20VU%20Proteome%7CProspective%20Colon%20PNNL%20Proteome%20Qeplus%7CProspective%20Colon%20PNNL%20Phosphoproteome%20Lumos\">Proteomic Data Commons (PDC)<\/a>\u00a0(Proteomic &amp; Clinical Data)<\/li><li><a href=\"https:\/\/portal.gdc.cancer.gov\/repository?facetTab=cases&amp;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.primary_site%22%2C%22value%22%3A%5B%22colon%22%5D%7D%7D%2C%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22cases.project.program.name%22%2C%22value%22%3A%5B%22CPTAC%22%5D%7D%7D%5D%7D\">Genomic Data Commons (GDC)<\/a>\u00a0(Genomic &amp; Clinical Data)<\/li><\/ul>","cancer_locations":["Colon"],"collection_page_accessibility":"Public","publications_related":"","version_change_log":"","version_change_log_archived":"","analysis_results":"","collection_status":"Ongoing","publications_using":"TCIA maintains <a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\"> a list of publications<\/a>  which leverage TCIA data.  If you have a manuscript you'd like to add please\u00a0<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\">contact TCIA's Helpdesk<\/a>.","species":["Human"],"collection_title":"The Clinical Proteomic Tumor Analysis Consortium Colon Adenocarcinoma Collection","detailed_description":"<h3>Accessing the Proteomic &amp; Genomic Clinical Data<\/h3>\nTo access\/download the clinical data on the\u00a0<strong>Proteomic Data Commons (PDC)\u00a0<\/strong>and\u00a0<strong>Genomic Data Commons (GDC)<\/strong>,\u00a0once you have identified the data of your interest, move to the 'Clinical' tab on the browse page. Select the checkbox to select a specific row, all rows on the page or all pages and click the export clinical manifest button in CSV or TSV format on the GDC, or TSV or JSON format on the PDC.\n<h3>A Note about TCIA and CPTAC Subject Identifiers<\/h3>\nA subject with radiology and pathology images stored in TCIA is identified with a de-identified project Patient ID that is identical to the Patient ID of the same subject with clinical, proteomic, and\/or genomic data stored in other CPTAC databases and web sites.","related_analysis_results":false,"subjects":"106","collection_short_title":"CPTAC-COAD","data_types":["Pathology"],"date_updated":"2023-09-13","collection_browse_title":"","supporting_data":["Clinical","Genomics","Proteomics"],"collection_featured_image":false,"collection_summary":"<br\/>\nThis collection contains subjects from the National Cancer Institute\u2019s <u><a href=\"https:\/\/proteomics.cancer.gov\/programs\/cptac\">Clinical Proteomic Tumor Analysis Consortium<\/a><\/u> CPTAC\u00a0Colon Adenocarcinoma 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.\n<br\/>\nImaging from each cancer type will be contained in its own TCIA Collection, with the collection name \"CPTAC-<em>cancertype<\/em>\". \u00a0Radiology imaging is collected from standard of care imaging performed on patients immediately before the pathological diagnosis, and from follow-up scans where available.\u00a0 For this reason the radiology image data sets are heterogeneous in terms of scanner modalities, manufacturers and acquisition protocols.\u00a0Pathology imaging is collected as part of the CPTAC qualification workflow. \u00a0\nAll CPTAC cohorts are released as either a single combined cohort, or split into\u00a0<em>Discovery<\/em>\u00a0and\u00a0<em>Confirmatory<\/em>\u00a0where applicable.\u00a0 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 \u201ctargeted proteomics\u201d 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\u00a0<em>in vivo<\/em>. \u00a0Once 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\u00a0<u><a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/Public\/CPTAC+Imaging+Proteomics\">CPTAC Imaging Proteomics<\/a><\/u>\u00a0page.\u00a0\n<h3>CPTAC Imaging Special Interest Group<\/h3>\nYou can join the\u00a0<a href=\"https:\/\/groups.google.com\/forum\/#!forum\/cptac-imaging-sig\">CPTAC Imaging Special Interest Group <\/a>to be notified of webinars &amp; data releases, collaborate on common data wrangling tasks and seek out partners to explore research hypotheses!\u00a0 Artifacts from previous webinars such as slide decks and video recordings can be found on the\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/Public\/CPTAC+SIG+Webinars\">CPTAC SIG Webinars<\/a>\u00a0page.\n<br\/>","collection_acknowledgements":"","collection_funding":"","hide_from_browse_table":[],"_links":{"self":[{"href":"https:\/\/cm.vastapps.dev\/api\/v1\/collections\/5723"}],"collection":[{"href":"https:\/\/cm.vastapps.dev\/api\/v1\/collections"}],"about":[{"href":"https:\/\/cm.vastapps.dev\/api\/wp\/v2\/types\/tcia_collection"}],"wp:attachment":[{"href":"https:\/\/cm.vastapps.dev\/api\/wp\/v2\/media?parent=5723"}],"wp:term":[{"taxonomy":"tcia_citation_tax","embeddable":true,"href":"https:\/\/cm.vastapps.dev\/api\/v1\/citation-tax?post=5723"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}