{"id":5608,"date":"2023-09-04T03:12:10","date_gmt":"2023-09-04T03:12:10","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/crc_ffpe-codex_cellneighs\/"},"modified":"2023-09-13T11:59:32","modified_gmt":"2023-09-13T11:59:32","slug":"crc_ffpe-codex_cellneighs","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/crc_ffpe-codex_cellneighs\/","title":{"rendered":"CRC_FFPE-CODEX_CELLNEIGHS"},"featured_media":0,"template":"","citation-tax":[],"cancer_types":["Colorectal Cancer"],"citations":[4493,4494,2925],"collection_doi":"10.7937\/TCIA.2020.FQN0-0326","collection_download_info":"Click the Versions tab for more info about data releases.\nPlease contact <a href=\"mailto:help@cancerimagingarchive.net\">help@cancerimagingarchive.net<\/a>\u00a0 with any questions regarding usage.","collection_downloads":[5064,5065,5066],"full_export":"<h1 id=\"Highdimensionalimagingofcolorectalcarcinomaandothertumorswith50+markers(CRC_FFPECODEX_CellNeighs)-Summary\">Summary<\/h1><span style=\"color: rgb(32,33,36);\">We have used CODEX to image 56 proteins simultaneously in 140 tissue regions from the tumor invasive front of 35 advanced-stage colorectal cancer (CRC) patients (17 patients with Crohn's-like reaction (CLR) - leading to high amount of tertiary lymphoid structures (TLS); and 18 patients with diffuse inflammatory infiltration (DII) and no TLS). These patients were selected from an initial cohort of 715 CRC patients. Patients with low-stage CRC (pTNM 0-2), pre-operative chemotherapy, insufficient material, and low immune infiltration were excluded. The 35 resulting patients were matched for age, sex and tumor characteristics. CLR patients had a much better survival compared to DII patients.\u00a0 <span style=\"color: rgb(0,0,0);\">We expect that making this dataset publicly available will stimulate broad research endeavors into the immune tumor microenvironment of colorectal cancer and allow computational scientists to discover new biomarkers and features.<\/span>\u00a0Further details on the study can be obtained in our paper here: <a href=\"https:\/\/www.cell.com\/cell\/fulltext\/S0092-8674(20)30870-9\" class=\"external-link\" rel=\"nofollow\">https:\/\/www.cell.com\/cell\/fulltext\/S0092-8674(20)30870-9<\/a><\/span><\/p><p><u>Details on image acquisition and processing:<\/u><\/p><p>Automated imaging was performed on a Keyence BZ-X710 microscope using a CFI Plan Apo \u03bb 20x\/0.75 objective (Nikon), in high-resolution mode, with a lateral resolution of 377.44 nm\/pixel. Processed images labeled with \u201cmontage\u201d only have half of that resolution, resulting in a 4x smaller image size (used for stitching of large tissue microarrays).<h3 id=\"Highdimensionalimagingofcolorectalcarcinomaandothertumorswith50+markers(CRC_FFPECODEX_CellNeighs)-Acknowledgement\"><span>Acknowledgement<\/span><\/h3><p><span style=\"color: rgb(33,37,41);\">This work would not have been possible without the support and efforts of many individuals and organizations.<\/span><\/p><ul><li>A complete list of acknowledgements can be found <a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/70227790\/acknowledgements.docx?version=1&amp;modificationDate=1609779575161&amp;api=v2\" data-linked-resource-id=\"80970751\" data-linked-resource-version=\"1\" data-linked-resource-type=\"attachment\" data-linked-resource-default-alias=\"acknowledgements.docx\" data-nice-type=\"Word Document\" data-linked-resource-content-type=\"application\/vnd.openxmlformats-officedocument.wordprocessingml.document\" data-linked-resource-container-id=\"70227790\" data-linked-resource-container-version=\"17\">here<\/a>.<\/li><\/ul><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=\"#702277905a875e9a24444c93bb87ac41ace3fbb1\"><strong>Data Access<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#70227790a5c676b3fbbb4905b923d632713efbdf\"><strong>Detailed Description<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#70227790b86f3e552e4d4ea5b724b3777f7d858e\"><strong>Citations &amp; Data Usage Policy<\/strong><\/a> <\/li><li class=\"menu-item bv-localtab \"><a href=\"#70227790ba1c04fab1a84b4a9f8be82ab6dd2314\"><strong>Versions<\/strong><\/a> <\/li><\/ul><div class=\"tabs-pane  active-pane \" id=\"702277905a875e9a24444c93bb87ac41ace3fbb1\" active=\"true\" name=\"Data Access\" ><h3 id=\"Highdimensionalimagingofcolorectalcarcinomaandothertumorswith50+markers(CRC_FFPECODEX_CellNeighs)-DataAccess\">Data Access<\/h3><div class=\"table-wrap\"><table class=\"wrapped relative-table confluenceTable\" style=\"width: 55.6027%;\"><colgroup><col style=\"width: 29.8029%;\"\/><col style=\"width: 35.6297%;\"\/><col style=\"width: 34.5452%;\"\/><\/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\"><span style=\"color: rgb(33,37,41);\">Tissue Slide Images (TIFF, 2.0TB)<\/span><\/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\/18?passcode=2442106c1a03f1b911073d97f323130a67aa5d54\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/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\/4.0\/\" class=\"external-link\" rel=\"nofollow\">CC BY 4.0<\/a><\/p><\/div><\/td><\/tr><tr><td class=\"confluenceTd\">Clinical data (XLS)<\/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:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/70227790\/Multi-tumor_TMA_composition.xlsx?version=1&amp;modificationDate=1596640676197&amp;api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span><\/p><\/div><\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p>\n<a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" class=\"external-link\" rel=\"nofollow\">CC BY 4.0<\/a><\/p><\/div><\/td><\/tr><tr><td class=\"confluenceTd\">Clinical data (XLS)<\/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:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/70227790\/CRC_TMAs_patient_annotations.xlsx?version=1&amp;modificationDate=1596640684172&amp;api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span><\/p><\/div><\/td><td class=\"confluenceTd\"><div class=\"content-wrapper\"><p>\n<a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" class=\"external-link\" rel=\"nofollow\">CC BY 4.0<\/a><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><p>Click the Versions tab for more info about data releases.<\/p><p><span style=\"color: rgb(23,43,77);\">Please contact <a rel=\"nofollow\" class=\"external-link\" href=\"mailto:help@cancerimagingarchive.net\">help@cancerimagingarchive.net<\/a>\u00a0 with any questions regarding usage.<\/span><\/p><\/div><div class=\"tabs-pane \" id=\"70227790a5c676b3fbbb4905b923d632713efbdf\" name=\"Detailed Description\" ><h3 id=\"Highdimensionalimagingofcolorectalcarcinomaandothertumorswith50+markers(CRC_FFPECODEX_CellNeighs)-DetailedDescription\">Detailed Description<\/h3><div class=\"table-wrap\"><table class=\"wrapped confluenceTable\"><colgroup><col\/><col\/><\/colgroup><tbody><tr><th class=\"confluenceTh\"><p>Image Statistics<\/p><\/th><th class=\"confluenceTh\"><br\/><\/th><\/tr><tr><td class=\"confluenceTd\"><p>Modalities<\/p><\/td><td class=\"confluenceTd\"><p>Pathology<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Subjects<\/p><\/td><td class=\"confluenceTd\"><p>35<\/p><\/td><\/tr><tr><td class=\"confluenceTd\"><p>Number of Images<\/p><\/td><td class=\"confluenceTd\"><p>200<\/p><\/td><\/tr><tr><td colspan=\"1\" class=\"confluenceTd\">Images Size (TB)<\/td><td colspan=\"1\" class=\"confluenceTd\">2.0<\/td><\/tr><\/tbody><\/table><\/div><p><span style=\"color: rgb(32,33,36);\">High-dimensional CODEX images (hyperstacks of immunofluorescence images)<\/span><\/p><\/div><div class=\"tabs-pane \" id=\"70227790b86f3e552e4d4ea5b724b3777f7d858e\" name=\"Citations BITVOODOO_ANDamp; Data Usage Policy\" ><h3 id=\"Highdimensionalimagingofcolorectalcarcinomaandothertumorswith50+markers(CRC_FFPECODEX_CellNeighs)-Citations&amp;DataUsagePolicy\">Citations &amp; Data Usage Policy<\/h3><p><span>\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><\/span><\/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>Sch\u00fcrch, C. M., Bhate, S., Barlow, G., Phillips, D., Noti, L., Zlobec, I., Chu, P., Black, S., Demeter, J., McIlwain, D., Samusik, N., Goltsev, Y., &amp; Nolan, G. (2020). <em>High-dimensional imaging of colorectal carcinoma and other tumors with 50+ markers<\/em> [Data set]. The Cancer Imaging Archive. <a href=\"https:\/\/doi.org\/10.7937\/TCIA.2020.FQN0-0326\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.7937\/TCIA.2020.FQN0-0326<\/a><\/p><\/div><\/div><div class=\"confluence-information-macro confluence-information-macro-information\"><p class=\"title\">Publication 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>Sch\u00fcrch et al., Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front, Cell (2020), <a href=\"https:\/\/doi.org\/10.1016\/j.cell.2020.07.005\" class=\"external-link\" rel=\"nofollow\">https:\/\/doi.org\/10.1016\/j.cell.2020.07.005<\/a> <\/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>Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F.\u00a0<strong>The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository<\/strong>, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: <a href=\"https:\/\/doi.org\/10.1007\/s10278-013-9622-7\" class=\"external-link\" rel=\"nofollow\">10.1007\/s10278-013-9622-7<\/a><\/p><\/div><\/div><h3 id=\"Highdimensionalimagingofcolorectalcarcinomaandothertumorswith50+markers(CRC_FFPECODEX_CellNeighs)-OtherPublicationsUsingThisData\">Other Publications Using This Data<\/h3><p><span>TCIA maintains\u00a0<\/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<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\" class=\"external-link\" rel=\"nofollow\"> contact the TCIA Helpdesk<\/a>.<\/p><\/div><div class=\"tabs-pane \" id=\"70227790ba1c04fab1a84b4a9f8be82ab6dd2314\" name=\"Versions\" ><h3 id=\"Highdimensionalimagingofcolorectalcarcinomaandothertumorswith50+markers(CRC_FFPECODEX_CellNeighs)-Version1(Current):Updated2020\/08\/05\">Version 1 (Current): Updated 2020\/08\/05<\/h3><div class=\"table-wrap\"><table class=\"wrapped confluenceTable\"><colgroup><col\/><col\/><\/colgroup><tbody><tr><th class=\"confluenceTh\"><span>Data Type<\/span><\/th><th class=\"confluenceTh\"><span>Download all or Query\/Filter<\/span><\/th><\/tr><tr><td class=\"confluenceTd\"><span>Images (TIFF, 2.0TB)<\/span><\/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\/18?passcode=2442106c1a03f1b911073d97f323130a67aa5d54\" class=\"external-link\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span><\/p><\/div><\/td><\/tr><tr><td class=\"confluenceTd\"><span>Clinical Data (XLS)<\/span><\/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:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/70227790\/Multi-tumor_TMA_composition.xlsx?version=1&amp;modificationDate=1596640676197&amp;api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span><\/p><\/div><\/td><\/tr><tr><td class=\"confluenceTd\"><span>Clinical Data (XLS)<\/span><\/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:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/70227790\/CRC_TMAs_patient_annotations.xlsx?version=1&amp;modificationDate=1596640684172&amp;api=v2\" rel=\"nofollow\"><button class=\"tcia-btn tcia-download-color\"><i class=\"fa fa-cloud-download\" \/> Download<\/button><\/a>\u00a0\n<\/span><\/p><\/div><\/td><\/tr><\/tbody><\/table><\/div><p><span><br\/><\/span><\/p><\/div><\/div><\/div><\/div><p><br\/><\/p><p><br\/><\/p>","versions":false,"additional_resources":"","cancer_locations":["Colon"],"collection_page_accessibility":"Public","publications_related":"","version_change_log":"","version_change_log_archived":"","analysis_results":"","collection_status":"Complete","publications_using":"TCIA maintains\u00a0<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<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\"> contact the TCIA Helpdesk<\/a>.","species":["Human"],"collection_title":"High-dimensional imaging of colorectal carcinoma and other tumors with 50+ markers","detailed_description":"High-dimensional CODEX images (hyperstacks of immunofluorescence images)","related_analysis_results":false,"subjects":"35","collection_short_title":"CRC_FFPE-CODEX_CellNeighs","data_types":["Pathology","High-dimensional CODEX images"],"date_updated":"2023-09-13","collection_browse_title":"","supporting_data":["Clinical","Image Analyses"],"collection_featured_image":false,"collection_summary":"We have used CODEX to image 56 proteins simultaneously in 140 tissue regions from the tumor invasive front of 35 advanced-stage colorectal cancer (CRC) patients (17 patients with Crohn's-like reaction (CLR) - leading to high amount of tertiary lymphoid structures (TLS); and 18 patients with diffuse inflammatory infiltration (DII) and no TLS). These patients were selected from an initial cohort of 715 CRC patients. Patients with low-stage CRC (pTNM 0-2), pre-operative chemotherapy, insufficient material, and low immune infiltration were excluded. The 35 resulting patients were matched for age, sex and tumor characteristics. CLR patients had a much better survival compared to DII patients.\u00a0 We expect that making this dataset publicly available will stimulate broad research endeavors into the immune tumor microenvironment of colorectal cancer and allow computational scientists to discover new biomarkers and features.\u00a0Further details on the study can be obtained in our paper here: <a href=\"https:\/\/www.cell.com\/cell\/fulltext\/S0092-8674(20)30870-9\">https:\/\/www.cell.com\/cell\/fulltext\/S0092-8674(20)30870-9<\/a><p><u>Details on image acquisition and processing:<\/u><\/p><p>Automated imaging was performed on a Keyence BZ-X710 microscope using a CFI Plan Apo \u03bb 20x\/0.75 objective (Nikon), in high-resolution mode, with a lateral resolution of 377.44 nm\/pixel. Processed images labeled with \u201cmontage\u201d only have half of that resolution, resulting in a 4x smaller image size (used for stitching of large tissue microarrays).<\/p>","collection_acknowledgements":"This work would not have been possible without the support and efforts of many individuals and organizations.\n<ul><li>A complete list of acknowledgements can be found <a data-linked-resource-container-id=\"70227790\" data-linked-resource-container-version=\"17\" data-linked-resource-content-type=\"application\/vnd.openxmlformats-officedocument.wordprocessingml.document\" data-linked-resource-default-alias=\"acknowledgements.docx\" data-linked-resource-id=\"80970751\" data-linked-resource-type=\"attachment\" data-linked-resource-version=\"1\" data-nice-type=\"Word Document\" download=\"\" href=\"\/wp-content\/uploads\/acknowledgements.docx\" target=\"_blank\">here<\/a>.<\/li><\/ul>\n<br\/>","collection_funding":"","hide_from_browse_table":[],"_links":{"self":[{"href":"https:\/\/cm.vastapps.dev\/api\/v1\/collections\/5608"}],"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=5608"}],"wp:term":[{"taxonomy":"tcia_citation_tax","embeddable":true,"href":"https:\/\/cm.vastapps.dev\/api\/v1\/citation-tax?post=5608"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}