{"id":3866,"date":"2022-08-04T09:12:39","date_gmt":"2022-08-04T14:12:39","guid":{"rendered":"https:\/\/www.cancerimagingarchive.net\/?page_id=3866"},"modified":"2025-01-09T10:55:41","modified_gmt":"2025-01-09T16:55:41","slug":"cmb","status":"publish","type":"page","link":"https:\/\/stage.cancerimagingarchive.net\/research\/cmb\/","title":{"rendered":"Cancer Moonshot Biobank (CMB) Imaging"},"content":{"rendered":"[vc_row type=&#8221;in_container&#8221; full_screen_row_position=&#8221;middle&#8221; column_margin=&#8221;default&#8221; column_direction=&#8221;default&#8221; column_direction_tablet=&#8221;default&#8221; column_direction_phone=&#8221;default&#8221; scene_position=&#8221;center&#8221; top_padding=&#8221;40&#8243; text_color=&#8221;dark&#8221; text_align=&#8221;left&#8221; row_border_radius=&#8221;none&#8221; row_border_radius_applies=&#8221;bg&#8221; overflow=&#8221;visible&#8221; overlay_strength=&#8221;0.3&#8243; gradient_direction=&#8221;left_to_right&#8221; shape_divider_position=&#8221;bottom&#8221; bg_image_animation=&#8221;none&#8221; shape_type=&#8221;&#8221;][vc_column column_padding=&#8221;no-extra-padding&#8221; column_padding_tablet=&#8221;inherit&#8221; column_padding_phone=&#8221;inherit&#8221; column_padding_position=&#8221;all&#8221; column_element_direction_desktop=&#8221;default&#8221; column_element_spacing=&#8221;default&#8221; desktop_text_alignment=&#8221;default&#8221; tablet_text_alignment=&#8221;default&#8221; phone_text_alignment=&#8221;default&#8221; background_color_opacity=&#8221;1&#8243; background_hover_color_opacity=&#8221;1&#8243; column_backdrop_filter=&#8221;none&#8221; column_shadow=&#8221;none&#8221; column_border_radius=&#8221;none&#8221; column_link_target=&#8221;_self&#8221; column_position=&#8221;default&#8221; gradient_direction=&#8221;left_to_right&#8221; overlay_strength=&#8221;0.3&#8243; width=&#8221;1\/1&#8243; tablet_width_inherit=&#8221;default&#8221; animation_type=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221;][vc_column_text]\n<h1>Cancer Moonshot Biobank (CMB) Imaging<\/h1>\n<p><a href=\"https:\/\/moonshotbiobank.cancer.gov\/\" target=\"_blank\" rel=\"noopener\">The Cancer Moonshot Biobank<\/a> is a National Cancer Institute initiative to support current and future investigations into drug resistance and sensitivity and other NCI-sponsored cancer research initiatives, with an aim of improving researchers\u2019 understanding of cancer and how to intervene in cancer initiation and progression. During the course of this study, biospecimens (blood and tissue removed during medical procedures) and associated data will be collected longitudinally from at least 1000 patients (across at least 10 cancer types), who represent the demographic diversity of the U.S. and receiving standard of care cancer treatment at multiple NCI Community Oncology Research Program (NCORP) sites. De-identified radiology and histopathology images collected from Biobank patients will be made available on The Cancer Imaging Archive (TCIA) and associated genomic, phenotypic and clinical data will be hosted by the database of Genotypes and Phenotypes (dbGaP) and other NCI databases.<\/p>\n<h3>Biobank Imaging Collections<\/h3>\n<p>Cancer Moonshot Biobank (CMB) imaging data is being made available on a release schedule\u00a0that is coordinated with the CMB program releases of clinical and genomic data.<\/p>\n<p>Learn more about each cancer type by clicking on the collection names in the table below. \u00a0Data currently available is listed below. Clicking on the number of subjects will take you to these data portals with that particular cancer type pre-selected.\u00a0 You can access the radiology and pathology data directly from the respective data portals.<\/p>\n<ul>\n<li><a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=CMB-AML,CMB-GEC,CMB-CRC,CMB-LCA,CMB-MEL,CMB-MML,CMB-PCA\">Radiology Data Portal<\/a><\/li>\n<li><a href=\"https:\/\/pathdb.cancerimagingarchive.net\/eaglescope\/dist\/?configurl=\/system\/files\/collectionmetadata\/202208\/biobank_metadata_page_first50_4.json\" target=\"_blank\" rel=\"noopener\">Pathology Data Portal<\/a><\/li>\n<\/ul>\n\n<table id=\"tablepress-12\" class=\"tablepress tablepress-id-12\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Collection<\/th><th class=\"column-2\">Cancer Type<\/th><th class=\"column-3\">Radiology Modalities<\/th><th class=\"column-4\">Radiology Subjects<\/th><th class=\"column-5\">Pathology Subjects<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\"><a href=\"https:\/\/doi.org\/10.7937\/PCTE-6M66\">CMB-AML<\/a><\/td><td class=\"column-2\">Acute Myeloid Leukemia Cancer<\/td><td class=\"column-3\">CT, MR, XA<\/td><td class=\"column-4\"><a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=CMB-CRC\">4<\/a><\/td><td class=\"column-5\"><a href=\"https:\/\/pathdb.cancerimagingarchive.net\/eaglescope\/dist\/?configurl=%2Fsystem%2Ffiles%2Fcollectionmetadata%2F202208%2Fbiobank_metadata_page_first50_4.json&amp;filterState=%5B%7B%22id%22%3A%22TCIA_Collection%22%2C%22title%22%3A%22Collection%22%2C%22field%22%3A%22TCIA_Collection%22%2C%22operation%22%3A%22eq%22%2C%22values%22%3A%22CMB-AML%22%7D%5D\">9<\/a><\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\"><a href=\"https:\/\/doi.org\/10.7937\/dx22-8j71\">CMB-BRCA<\/a><\/td><td class=\"column-2\">Invasive Breast Carcinoma Cancer<\/td><td class=\"column-3\">CT<\/td><td class=\"column-4\"><a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=CMB-BRCA\">1<\/a><\/td><td class=\"column-5\"><a href=\"https:\/\/pathdb.cancerimagingarchive.net\/eaglescope\/dist\/?configurl=%2Fsystem%2Ffiles%2Fcollectionmetadata%2F202208%2Fbiobank_metadata_page_first50_4.json&amp;filterState=%5B%7B%22id%22%3A%22TCIA_Collection%22%2C%22title%22%3A%22Collection%22%2C%22field%22%3A%22TCIA_Collection%22%2C%22operation%22%3A%22eq%22%2C%22values%22%3A%22CMB-BRCA%22%7D%5D\">26<\/a><\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\"><a href=\"https:\/\/doi.org\/10.7937\/DJG7-GZ87\">CMB-CRC<\/a><\/td><td class=\"column-2\">Colorectal Cancer<\/td><td class=\"column-3\">CT, DX, MR, NM, PT, US, XA<\/td><td class=\"column-4\"><a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=CMB-CRC\">33<\/a><\/td><td class=\"column-5\"><a href=\"https:\/\/pathdb.cancerimagingarchive.net\/eaglescope\/dist\/?configurl=%2Fsystem%2Ffiles%2Fcollectionmetadata%2F202208%2Fbiobank_metadata_page_first50_4.json&amp;filterState=%5B%7B%22id%22%3A%22TCIA_Collection%22%2C%22title%22%3A%22Collection%22%2C%22field%22%3A%22TCIA_Collection%22%2C%22operation%22%3A%22eq%22%2C%22values%22%3A%22CMB-CRC%22%7D%5D\">54<\/a><\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\"><a href=\"https:\/\/doi.org\/10.7937\/E7KH-R486\">CMB-GEC<\/a><\/td><td class=\"column-2\">Gastroesophageal Cancer<\/td><td class=\"column-3\">CT, MR, PT<\/td><td class=\"column-4\"><a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=CMB-CRC\">5<\/a><\/td><td class=\"column-5\"><a href=\"https:\/\/pathdb.cancerimagingarchive.net\/eaglescope\/dist\/?configurl=%2Fsystem%2Ffiles%2Fcollectionmetadata%2F202208%2Fbiobank_metadata_page_first50_4.json&amp;filterState=%5B%7B%22id%22%3A%22TCIA_Collection%22%2C%22title%22%3A%22Collection%22%2C%22field%22%3A%22TCIA_Collection%22%2C%22operation%22%3A%22eq%22%2C%22values%22%3A%22CMB-GEC%22%7D%5D\">12<\/a><\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\"><a href=\"https:\/\/doi.org\/10.7937\/3CX3-S132\">CMB-LCA<\/a><\/td><td class=\"column-2\">Lung Cancer<\/td><td class=\"column-3\">CT, DX, MR, NM, PT, US<\/td><td class=\"column-4\"><a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=CMB-LCA\">32<\/a><\/td><td class=\"column-5\"><a href=\"https:\/\/pathdb.cancerimagingarchive.net\/eaglescope\/dist\/?configurl=%2Fsystem%2Ffiles%2Fcollectionmetadata%2F202208%2Fbiobank_metadata_page_first50_4.json&amp;filterState=%5B%7B%22id%22%3A%22TCIA_Collection%22%2C%22title%22%3A%22Collection%22%2C%22field%22%3A%22TCIA_Collection%22%2C%22operation%22%3A%22eq%22%2C%22values%22%3A%22CMB-LCA%22%7D%5D\">96<\/a><\/td>\n<\/tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\"><a href=\"https:\/\/doi.org\/10.7937\/GWSP-WH72\">CMB-MEL<\/a><\/td><td class=\"column-2\">Melanoma<\/td><td class=\"column-3\">CT, MR, PT, US<\/td><td class=\"column-4\"><a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=CMB-MEL\">29<\/a><\/td><td class=\"column-5\"><a href=\"https:\/\/pathdb.cancerimagingarchive.net\/eaglescope\/dist\/?configurl=%2Fsystem%2Ffiles%2Fcollectionmetadata%2F202208%2Fbiobank_metadata_page_first50_4.json&amp;filterState=%5B%7B%22id%22%3A%22TCIA_Collection%22%2C%22title%22%3A%22Collection%22%2C%22field%22%3A%22TCIA_Collection%22%2C%22operation%22%3A%22eq%22%2C%22values%22%3A%22CMB-MEL%22%7D%5D\">48<\/a><\/td>\n<\/tr>\n<tr class=\"row-8\">\n\t<td class=\"column-1\"><a href=\"https:\/\/doi.org\/10.7937\/SZKB-SW39\">CMB-MML<\/a><\/td><td class=\"column-2\">Multiple Myeloma<\/td><td class=\"column-3\">CR, CT, DX, MR, PT, XA<\/td><td class=\"column-4\"><a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=CMB-MML\">36<\/a><\/td><td class=\"column-5\"><a href=\"https:\/\/pathdb.cancerimagingarchive.net\/eaglescope\/dist\/?configurl=%2Fsystem%2Ffiles%2Fcollectionmetadata%2F202208%2Fbiobank_metadata_page_first50_4.json&amp;filterState=%5B%7B%22id%22%3A%22TCIA_Collection%22%2C%22title%22%3A%22Collection%22%2C%22field%22%3A%22TCIA_Collection%22%2C%22operation%22%3A%22eq%22%2C%22values%22%3A%22CMB-MML%22%7D%5D\">89<\/a><\/td>\n<\/tr>\n<tr class=\"row-9\">\n\t<td class=\"column-1\"><a href=\"https:\/\/doi.org\/10.7937\/4nx6-e061\">CMB-OV<\/a><\/td><td class=\"column-2\">Ovarian Carcinoma Cancer<\/td><td class=\"column-3\"><\/td><td class=\"column-4\"><\/td><td class=\"column-5\"><a href=\"https:\/\/pathdb.cancerimagingarchive.net\/eaglescope\/dist\/?configurl=%2Fsystem%2Ffiles%2Fcollectionmetadata%2F202208%2Fbiobank_metadata_page_first50_4.json&amp;filterState=%5B%7B%22id%22%3A%22TCIA_Collection%22%2C%22title%22%3A%22Collection%22%2C%22field%22%3A%22TCIA_Collection%22%2C%22operation%22%3A%22eq%22%2C%22values%22%3A%22CMB-OV%22%7D%5D\">14<\/a><\/td>\n<\/tr>\n<tr class=\"row-10\">\n\t<td class=\"column-1\"><a href=\"https:\/\/doi.org\/10.7937\/25T7-6Y12\">CMB-PCA<\/a><\/td><td class=\"column-2\">Prostate Cancer<\/td><td class=\"column-3\">CT, DX, MR, NM, PT, RF<\/td><td class=\"column-4\"><a href=\"https:\/\/nbia.cancerimagingarchive.net\/nbia-search\/?MinNumberOfStudiesCriteria=1&amp;CollectionCriteria=CMB-PCA\">10<\/a><\/td><td class=\"column-5\"><a href=\"https:\/\/pathdb.cancerimagingarchive.net\/eaglescope\/dist\/?configurl=%2Fsystem%2Ffiles%2Fcollectionmetadata%2F202208%2Fbiobank_metadata_page_first50_4.json&amp;filterState=%5B%7B%22id%22%3A%22TCIA_Collection%22%2C%22title%22%3A%22Collection%22%2C%22field%22%3A%22TCIA_Collection%22%2C%22operation%22%3A%22eq%22%2C%22values%22%3A%22CMB-PCA%22%7D%5D\">30<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-12 from cache -->\n<h4>Corresponding Genomic, Phenotypic, and Clinical Data<\/h4>\n<p>The other data types will be hosted in separate tools and databases including:<\/p>\n<ol>\n<li><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/projects\/gap\/cgi-bin\/study.cgi?study_id=phs002192\" target=\"_blank\" rel=\"noopener\">dbGaP Biobank Study Report Page<\/a><\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=&#8221;in_container&#8221; full_screen_row_position=&#8221;middle&#8221; column_margin=&#8221;default&#8221; column_direction=&#8221;default&#8221; column_direction_tablet=&#8221;default&#8221; column_direction_phone=&#8221;default&#8221; scene_position=&#8221;center&#8221; text_color=&#8221;dark&#8221; text_align=&#8221;left&#8221; row_border_radius=&#8221;none&#8221; row_border_radius_applies=&#8221;bg&#8221; overflow=&#8221;visible&#8221; disable_element=&#8221;yes&#8221; overlay_strength=&#8221;0.3&#8243; gradient_direction=&#8221;left_to_right&#8221; shape_divider_position=&#8221;bottom&#8221; bg_image_animation=&#8221;none&#8221; shape_type=&#8221;&#8221;][vc_column column_padding=&#8221;no-extra-padding&#8221; column_padding_tablet=&#8221;inherit&#8221; column_padding_phone=&#8221;inherit&#8221; column_padding_position=&#8221;all&#8221; column_element_direction_desktop=&#8221;default&#8221; column_element_spacing=&#8221;default&#8221; desktop_text_alignment=&#8221;default&#8221; tablet_text_alignment=&#8221;default&#8221; phone_text_alignment=&#8221;default&#8221; background_color_opacity=&#8221;1&#8243; background_hover_color_opacity=&#8221;1&#8243; column_backdrop_filter=&#8221;none&#8221; column_shadow=&#8221;none&#8221; column_border_radius=&#8221;none&#8221; column_link_target=&#8221;_self&#8221; column_position=&#8221;default&#8221; gradient_direction=&#8221;left_to_right&#8221; overlay_strength=&#8221;0.3&#8243; width=&#8221;1\/1&#8243; tablet_width_inherit=&#8221;default&#8221; animation_type=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221;][tabbed_section style=&#8221;default&#8221; tab_change_animation=&#8221;fade&#8221; alignment=&#8221;left&#8221; spacing=&#8221;default&#8221; tab_color=&#8221;Accent-Color&#8221; vs_content_animation=&#8221;fade&#8221; vs_link_animation=&#8221;opacity&#8221; vs_navigation_alignment=&#8221;left&#8221; vs_navigation_width_2=&#8221;25%&#8221; vs_navigation_func=&#8221;default&#8221; vs_navigation_width=&#8221;regular&#8221; vs_navigation_spacing=&#8221;15px&#8221; vs_navigation_mobile_display=&#8221;visible&#8221; vs_tab_spacing=&#8221;5%&#8221;][tab icon_family=&#8221;fontawesome&#8221; title=&#8221;Data Access&#8221; id=&#8221;1709841258814-9&#8243; tab_id=&#8221;1709841258814-1&#8243; icon_fontawesome=&#8221;fa fa-database&#8221;][vc_column_text]\n<h3 id=\"TCGA-LUAD-DataAccess\">Data Access<\/h3>\n<p>Choosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans\/studies please use the\u00a0<a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/Public\/Searching+by+Collection\">Search By Collection<\/a>\u00a0option.<\/p>\n<table>\n<tbody>\n<tr>\n<th>Data Type<\/th>\n<th>Download all or Query\/Filter<\/th>\n<\/tr>\n<tr>\n<td>Images (DICOM, 18.3GB)<\/td>\n<td>\n<div><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/6881474\/doiJNLP-TCGA-LUAD-01-30-2017.tcia?version=1&#038;modificationDate=1534786963773&#038;api=v2\" data-color-override=\"#0c68c4\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Download<\/span><i class=\"fa fa-cloud-download\"><\/i><\/a> <a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/www.cancerimagingarchive.net\/nbia-search\/?CollectionCriteria=TCGA-LUAD\" data-color-override=\"#fa9b1d\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Search<\/span><i class=\"fa fa-search\"><\/i><\/a><\/div>\n<p>(Download requires the NBIA Data Retriever .)<\/td>\n<\/tr>\n<tr>\n<td>Tissue Slide Images (web)<\/td>\n<td><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/portal.gdc.cancer.gov\/legacy-archive\/search\/f?filters=%7B%22op%22:%22and%22,%22content%22:%5B%7B%22op%22:%22in%22,%22content%22:%7B%22field%22:%22files.data_format%22,%22value%22:%5B%22SVS%22%5D%7D%7D,%7B%22op%22:%22in%22,%22content%22:%7B%22field%22:%22cases.project.program.name%22,%22value%22:%5B%22TCGA%22%5D%7D%7D,%7B%22op%22:%22in%22,%22content%22:%7B%22field%22:%22cases.project.project_id%22,%22value%22:%5B%22TCGA-LUAD%22%5D%7D%7D%5D%7D\" data-color-override=\"#fa9b1d\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Search<\/span><i class=\"fa fa-search\"><\/i><\/a><\/td>\n<\/tr>\n<tr>\n<td>Clinical Data (TXT)<\/td>\n<td><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/6881474\/gdc_download_clinical_luad.tar.gz?version=1&#038;modificationDate=1590774168840&#038;api=v2\" data-color-override=\"#0c68c4\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Download<\/span><i class=\"fa fa-cloud-download\"><\/i><\/a><\/td>\n<\/tr>\n<tr>\n<td>Biomedical Data (TXT)<\/td>\n<td><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/6881474\/gdc_download_biomedical_luad.tar.gz?version=1&#038;modificationDate=1590774155199&#038;api=v2\" data-color-override=\"#0c68c4\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Download<\/span><i class=\"fa fa-cloud-download\"><\/i><\/a><\/td>\n<\/tr>\n<tr>\n<td>Genomics (web)<\/td>\n<td><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/portal.gdc.cancer.gov\/projects\/TCGA-LUAD\" data-color-override=\"#fa9b1d\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Search<\/span><i class=\"fa fa-search\"><\/i><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Click the Versions tab for more info about data releases.<\/p>\n<h3 id=\"TCGA-LUAD-ThirdPartyAnalysesofthisDataset\">Third Party Analyses of this Dataset<\/h3>\n<p>TCIA encourages the community to\u00a0<a class=\"external-link\" href=\"http:\/\/www.cancerimagingarchive.net\/analysis-results\/\" rel=\"nofollow\">publish your analyses of our datasets<\/a>. Below is a list of such third party analyses published using this Collection:<\/p>\n<ul>\n<li><a href=\"https:\/\/wiki.cancerimagingarchive.net\/display\/DOI\/Crowds+Cure+Cancer%3A+Data+collected+at+the+RSNA+2017+annual+meeting\">Crowds Cure Cancer: Data collected at the RSNA 2017 annual meeting<\/a><\/li>\n<li><a href=\"https:\/\/wiki.cancerimagingarchive.net\/pages\/viewpage.action?pageId=33948919\">Tumor-Infiltrating Lymphocytes Maps from TCGA H&amp;E Whole Slide Pathology Images<\/a><\/li>\n<\/ul>\n[\/vc_column_text][\/tab][tab icon_family=&#8221;fontawesome&#8221; title=&#8221;Detailed Description&#8221; id=&#8221;1709841258852-0&#8243; tab_id=&#8221;1709841258853-6&#8243; icon_fontawesome=&#8221;fa fa-commenting-o&#8221;][vc_column_text]\n<table>\n<tbody>\n<tr>\n<th>Image Statistics<\/th>\n<th><\/th>\n<\/tr>\n<tr>\n<td>Modalities<\/td>\n<td>CT, PT, NM<\/td>\n<\/tr>\n<tr>\n<td>Number of Participants<\/td>\n<td>69<\/td>\n<\/tr>\n<tr>\n<td>Number of Studies<\/td>\n<td>152<\/td>\n<\/tr>\n<tr>\n<td>Number of Series<\/td>\n<td>624<\/td>\n<\/tr>\n<tr>\n<td>Number of Images<\/td>\n<td>48,931<\/td>\n<\/tr>\n<tr>\n<td>Images Size (GB)<\/td>\n<td>18.3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3 id=\"TCGA-LUAD-GDCDataPortal-ClinicalandGenomicData\">GDC Data Portal &#8211; Clinical and Genomic Data<\/h3>\n<p>The\u00a0<a class=\"external-link\" 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-LUAD%22%5D%7D%7D%5D%7D\" rel=\"nofollow\">GDC Data Portal<\/a>\u00a0has extensive clinical and genomic data, which can be matched to the patient identifiers on the images here in TCIA. \u00a0Below is a snapshot of clinical data extracted on 1\/5\/2016.<\/p>\n<ul>\n<li><a href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/6881474\/TCGA-LUAD%20Clinical%20Data%201516.zip?version=1&amp;modificationDate=1452103104183&amp;api=v2\" data-linked-resource-id=\"22643030\" data-linked-resource-version=\"1\" data-linked-resource-default-alias=\"TCGA-LUAD Clinical Data 1516.zip\" data-nice-type=\"Zip Archive\" data-linked-resource-content-type=\"application\/zip\" data-linked-resource-container-id=\"6881474\" data-linked-resource-container-version=\"68\">TCGA-LUAD Clinical Data.zip<\/a><\/li>\n<\/ul>\n<p>Explanations of the clinical data can be found on the Biospecimen Core Resource Clinical Data Forms linked below:<\/p>\n<ul>\n<li><a class=\"external-link\" href=\"https:\/\/www.nationwidechildrens.org\/-\/media\/nch\/research\/documents\/tcga\/lung-case-quality-control-form.ashx\" rel=\"nofollow\">Lung Case Quality Control Form<\/a><\/li>\n<li><a class=\"external-link\" href=\"https:\/\/www.nationwidechildrens.org\/-\/media\/nch\/research\/documents\/tcga\/luad-enrollment-form.ashx\" rel=\"nofollow\">Lung Enrollment Form<\/a><\/li>\n<li><a class=\"external-link\" href=\"https:\/\/www.nationwidechildrens.org\/-\/media\/nch\/research\/documents\/tcga\/luad-followup-form.ashx\" rel=\"nofollow\">Lung Follow-Up Form<\/a><\/li>\n<\/ul>\n<h3 id=\"TCGA-LUAD-ANoteaboutTCIAandTCGASubjectIdentifiersandDates\">A Note about TCIA and TCGA Subject Identifiers and Dates<\/h3>\n<p><strong>NOTE:<\/strong>\u00a0\u00a0On 12\/3\/12 TCIA staff were alerted to the fact that the middle 2 digits in the patient identifiers of images were not consistent with those on the TCGA Data Portal (e.g. patient TCGA-93-Z011 should have been TCGA-17-Z011). This was corrected and the data was re-posted on 12\/5\/12 so that all subjects now have 17 digits as intended.<\/p>\n<p><strong>Subject Identifiers:<\/strong>\u00a0a subject with radiology images stored in TCIA is identified with a Patient ID that is identical to the Patient ID of the same subject with demographic, clinical, pathological, and\/or genomic data stored in TCGA. For each TCGA case, the baseline TCGA imaging studies found on TCIA are pre-surgical.<\/p>\n<p><strong>Dates:<\/strong>\u00a0TCIA and TCGA handle dates differently, and there are no immediate plans to reconcile:<\/p>\n<ul>\n<li><u>TCIA Dates:<\/u>\u00a0dates (be they birth dates, imaging study dates, etc.) in the Digital Imaging and Communications in Medicine (DICOM) headers of TCIA radiology images have been offset by a random number of days. The offset is a number of days between 3 and 10 years prior to the real date that is consistent for each TCIA image-submitting site and collection, but that varies among sites and among collections from the same site. Thus, the number of days between a subject\u2019s longitudinal imaging studies are accurately preserved when more than one study has been archived while still meeting HIPAA requirements.<\/li>\n<li><u>TCGA Dates:<\/u>\u00a0the patient demographic and clinical event dates are all the number of days from the index date, which is the actual date of pathologic diagnosis. So all the dates in the data are relative negative or positive integers, except for the \u201cdays_to_pathologic_diagnosis\u201d value, which is 0 \u2013 the index date. The years of birth and diagnosis are maintained in the distributed clinical data file. The NCI retains a copy of the data with complete dates, but those data are not made available.With regard to other TCGA dates, if a date comes from a HIPAA \u201ccovered entity\u2019s\u201d medical record, it is turned into the relative day count from the index date. Dates like the date TCGA received the specimen or when the TCGA case report form was filled out are not such covered dates, and they will appear as\u00a0real dates (month, day, and year).<\/li>\n<\/ul>\n[\/vc_column_text][\/tab][tab icon_family=&#8221;fontawesome&#8221; title=&#8221;Citations &amp; Data Usage Policy&#8221; id=&#8221;1709841258869-1&#8243; tab_id=&#8221;1709841258870-2&#8243; icon_fontawesome=&#8221;fa fa-handshake-o&#8221;][vc_column_text]\n<h3 id=\"TCGA-LUAD-Citations&amp;DataUsagePolicy\">Citations &amp; Data Usage Policy<\/h3>\n<p><span class=\"conf-macro output-inline\" data-hasbody=\"false\" data-macro-name=\"public-collection-license\">Users of this data must abide by the\u00a0<a class=\"external-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/3.0\/\" rel=\"nofollow\">Creative Commons Attribution 3.0 Unported License<\/a>\u00a0under which it has been published. Attribution should include references to the following citations:<\/span><\/p>\n<div>\n<p class=\"title\"><strong>TCGA Attribution<\/strong><\/p>\n<div class=\"tcia-infobox\">&#8220;The results &lt;published or shown&gt; here are in whole or part based upon data generated by the TCGA Research Network:\u00a0<a class=\"external-link\" href=\"https:\/\/cancergenome.nih.gov\/\" rel=\"nofollow\">http:\/\/cancergenome.nih.gov\/<\/a>.&#8221;<\/div>\n<\/div>\n<div>\n<p class=\"title\"><strong>Data Citation<\/strong><\/p>\n<div class=\"tcia-infobox\">Albertina, B., Watson, M., Holback, C., Jarosz, R., Kirk, S., Lee, Y., \u2026 Lemmerman, J. (2016). Radiology Data from The Cancer Genome Atlas Lung Adenocarcinoma [TCGA-LUAD] collection. The Cancer Imaging Archive.\u00a0<a class=\"external-link\" href=\"http:\/\/doi.org\/10.7937\/K9\/TCIA.2016.JGNIHEP5\" rel=\"nofollow\">http:\/\/doi.org\/10.7937\/K9\/TCIA.2016.JGNIHEP5<\/a><\/div>\n<\/div>\n<div>\n<p class=\"title\"><strong>TCIA Citation<\/strong><\/p>\n<div class=\"tcia-infobox\">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. (<a class=\"external-link\" href=\"http:\/\/link.springer.com\/article\/10.1007%2Fs10278-013-9622-7\" rel=\"nofollow\">paper<\/a>)<\/div>\n<\/div>\n<h3>Other Publications Using This Data<\/h3>\n<p>TCIA maintains<a class=\"external-link\" href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\" rel=\"nofollow\">\u00a0a list of publications<\/a>\u00a0which leverage our data.<\/p>\n<ol>\n<li>Choi, Hongyoon and Kwon Joong Na. &#8220;Integrative Analysis of Imaging and Transcriptomic Data of the Immune Landscape Associated with Tumor Metabolism in Lung Adenocarcinoma: Clinical and Prognostic Implications.&#8221; THERANOSTICS, vol. 8, no. 7, 2018, pp. 1956-1965, doi:10.7150\/thno.23767.<\/li>\n<li>Dara, S et al. &#8220;Feature Extraction in Medical Images by Using Deep Learning Approach.&#8221; International Journal of Pure and Applied Mathematics, vol. 120, no. 6, 2018, pp. 305-312,\u00a0<a class=\"external-link\" href=\"https:\/\/acadpubl.eu\/hub\/2018-120-6\/1\/20.pdf\" rel=\"nofollow\">https:\/\/acadpubl.eu\/hub\/2018-120-6\/1\/20.pdf<\/a><\/li>\n<li>Livieris, Ioannis et al. &#8220;Detecting Lung Abnormalities from X-Rays Using an Improved Ssl Algorithm.&#8221; Electronic Notes in Theoretical Computer Science, vol. 343, 2019, pp. 19-33, doi:10.1016\/j.entcs.2019.04.008.<\/li>\n<li>Livieris, Ioannis et al. &#8220;A Weighted Voting Ensemble Self-Labeled Algorithm for the Detection of Lung Abnormalities from X-Rays.&#8221; Algorithms, vol. 12, no. 3, 2019, p. 64, doi:10.3390\/a12030064.<\/li>\n<li>Matsuyama, Eri and Du-Yih Tsai. &#8220;Automated Classification of Lung Diseases in Computed Tomography Images Using a Wavelet Based Convolutional Neural Network.&#8221; Journal of Biomedical Science and Engineering, vol. 11, no. 10, 2018, p. 263, doi:10.4236\/jbise.2018.1110022.<\/li>\n<li>Meldo, Anna et al. &#8220;Database Acquisition for the Lung Cancer Computer Aided Diagnostic Systems.&#8221; 25th conference of FRUCT(Finnish-Russian University Cooperation in Telecommunications) Association, Nov 5-8 2019 2019.\u00a0<a class=\"external-link\" href=\"https:\/\/fruct.org\/publications\/fruct25\/files\/Mel.pdfhttps:\/\/fruct.org\/publications\/fruct25\/files\/Mel.pdf\" rel=\"nofollow\">https:\/\/fruct.org\/publications\/fruct25\/files\/Mel.pdf<\/a>.<\/li>\n<li>Pathak, Yadunath et al. &#8220;An Efficient Low-Dose Ct Reconstruction Technique Using Partial Derivatives Based Guided Image Filter.&#8221; Multimedia Tools and Applications, 2018, pp. 1-20, doi:10.1007\/s11042-018-6840-5.<\/li>\n<li>Singh, Apurva et al. &#8220;A Novel Imaging-Genomic Approach to Predict Outcomes of Radiation Therapy.&#8221; Department of Electrical and Computer Engineering, vol. MS, George Washington University, 2019. general editor, Murray Loew.<\/li>\n<li>To\u011fa\u00e7ar, Mesut et al. &#8220;Detection of Lung Cancer on Chest Ct Images Using Minimum Redundancy Maximum Relevance Feature Selection Method with Convolutional Neural Networks.&#8221; Biocybernetics and Biomedical Engineering, 2019, doi:10.1016\/j.bbe.2019.11.004.<\/li>\n<li>Wong, Jordan et al. &#8220;Comparing Deep Learning-Based Auto-Segmentation of Organs at Risk and Clinical Target Volumes to Expert Inter-Observer Variability in Radiotherapy Planning.&#8221; Radiother Oncol, vol. 144, 2019, pp. 152-158, doi:10.1016\/j.radonc.2019.10.019.<\/li>\n<li>Yu, Zexi. &#8220;Co-Segmentation Methods for Improving Tumor Target Delineation in Pet-Ct Images.&#8221; Electrical and Computer Engineering, vol. Master of Science (M.Sc.), University of Saskatchewan, 2016, p. 119. general editor, Francis; Babyn Bui, Paul,\u00a0<a class=\"external-link\" href=\"https:\/\/ecommons.usask.ca\/xmlui\/bitstream\/handle\/10388\/7624\/YU-THESIS-2016.pdf?sequence=1&amp;isAllowed=y\" rel=\"nofollow\">(Link to Thesis)<\/a><\/li>\n<\/ol>\n<p>If you have a manuscript you&#8217;d like to add please<a class=\"external-link\" href=\"http:\/\/www.cancerimagingarchive.net\/support\/\" rel=\"nofollow\">\u00a0contact the TCIA Helpdesk<\/a>.[\/vc_column_text][\/tab][tab icon_family=&#8221;fontawesome&#8221; title=&#8221;Versions&#8221; id=&#8221;1709841258888-7&#8243; tab_id=&#8221;1709841258889-3&#8243; icon_fontawesome=&#8221;fa fa-list-ol&#8221;][vc_column_text]\n<h3 id=\"TCGA-LUAD-Version4(Current):Updated2020\/05\/29\">Version 4 (Current): Updated 2020\/05\/29<\/h3>\n<table>\n<tbody>\n<tr>\n<th>Data Type<\/th>\n<th>Download all or Query\/Filter<\/th>\n<\/tr>\n<tr>\n<td>Images (DICOM, 18.3GB)<\/td>\n<td>\n<div><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/6881474\/doiJNLP-TCGA-LUAD-01-30-2017.tcia?version=1&#038;modificationDate=1534786963773&#038;api=v2\" data-color-override=\"#0c68c4\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Download<\/span><i class=\"fa fa-cloud-download\"><\/i><\/a> <a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/www.cancerimagingarchive.net\/nbia-search\/?CollectionCriteria=TCGA-LUAD\" data-color-override=\"#fa9b1d\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Search<\/span><i class=\"fa fa-search\"><\/i><\/a><\/div>\n<p>(Download requires the NBIA Data Retriever .)<\/td>\n<\/tr>\n<tr>\n<td>Tissue Slide Images (web)<\/td>\n<td><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/portal.gdc.cancer.gov\/legacy-archive\/search\/f?filters=%7B%22op%22:%22and%22,%22content%22:%5B%7B%22op%22:%22in%22,%22content%22:%7B%22field%22:%22files.data_format%22,%22value%22:%5B%22SVS%22%5D%7D%7D,%7B%22op%22:%22in%22,%22content%22:%7B%22field%22:%22cases.project.program.name%22,%22value%22:%5B%22TCGA%22%5D%7D%7D,%7B%22op%22:%22in%22,%22content%22:%7B%22field%22:%22cases.project.project_id%22,%22value%22:%5B%22TCGA-LUAD%22%5D%7D%7D%5D%7D\" data-color-override=\"#fa9b1d\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Search<\/span><i class=\"fa fa-search\"><\/i><\/a><\/td>\n<\/tr>\n<tr>\n<td>Clinical Data (TXT)<\/td>\n<td><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/6881474\/gdc_download_clinical_luad.tar.gz?version=1&#038;modificationDate=1590774168840&#038;api=v2\" data-color-override=\"#0c68c4\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Download<\/span><i class=\"fa fa-cloud-download\"><\/i><\/a><\/td>\n<\/tr>\n<tr>\n<td>Biomedical Data (TXT)<\/td>\n<td><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/6881474\/gdc_download_biomedical_luad.tar.gz?version=1&#038;modificationDate=1590774155199&#038;api=v2\" data-color-override=\"#0c68c4\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Download<\/span><i class=\"fa fa-cloud-download\"><\/i><\/a><\/td>\n<\/tr>\n<tr>\n<td>Genomics (web)<\/td>\n<td><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/portal.gdc.cancer.gov\/projects\/TCGA-LUAD\" data-color-override=\"#fa9b1d\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Search<\/span><i class=\"fa fa-search\"><\/i><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Updated clinical data link with latest spreadsheets from GDC. Added new biomedical spreadsheets from GDC.<\/p>\n<h3>Version 3: Updated 2017\/01\/30<\/h3>\n<table>\n<tbody>\n<tr>\n<th>Data Type<\/th>\n<th>Download all or Query\/Filter<\/th>\n<\/tr>\n<tr>\n<td>Images (DICOM, 9.4GB)<\/td>\n<td>\n<div><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/6881474\/doiJNLP-TCGA-LUAD-01-30-2017.tcia?version=1&#038;modificationDate=1534786963773&#038;api=v2\" data-color-override=\"#0c68c4\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Download<\/span><i class=\"fa fa-cloud-download\"><\/i><\/a> <a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/www.cancerimagingarchive.net\/nbia-search\/?CollectionCriteria=TCGA-LUAD\" data-color-override=\"#fa9b1d\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Search<\/span><i class=\"fa fa-search\"><\/i><\/a><\/div>\n<p>(Download requires the NBIA Data Retriever .)<\/td>\n<\/tr>\n<tr>\n<td>Clinical Data (TXT)<\/td>\n<td><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/6881474\/TCGA-LUAD%20Clinical%20Data%201516.zip?version=1&#038;modificationDate=1452103104183&#038;api=v2\" data-color-override=\"#0c68c4\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Download<\/span><i class=\"fa fa-cloud-download\"><\/i><\/a><\/td>\n<\/tr>\n<tr>\n<td>Genomics (web)<\/td>\n<td><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/portal.gdc.cancer.gov\/projects\/TCGA-LUAD\" data-color-override=\"#fa9b1d\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Search<\/span><i class=\"fa fa-search\"><\/i><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Images for 5 new subjects added.<\/p>\n<h3>Version 2: Updated 2016\/01\/05<\/h3>\n<table>\n<tbody>\n<tr>\n<th>Data Type<\/th>\n<th>Download all or Query\/Filter<\/th>\n<\/tr>\n<tr>\n<td>Images (DICOM, 9.4GB)<\/td>\n<td>\n<div><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/6881474\/TCIA_TCGA-LUAD_09-16-2015.tcia?version=1&#038;modificationDate=1534786964429&#038;api=v2\" data-color-override=\"#0c68c4\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Download<\/span><i class=\"fa fa-cloud-download\"><\/i><\/a> <a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/public.cancerimagingarchive.net\/ncia\/login.jsf\" data-color-override=\"#fa9b1d\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Search<\/span><i class=\"fa fa-search\"><\/i><\/a><\/div>\n<p>(Download requires the NBIA Data Retriever .)<\/td>\n<\/tr>\n<tr>\n<td>Clinical Data (TXT)<\/td>\n<td><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/6881474\/TCGA-LUAD%20Clinical%20Data%201516.zip?version=1&#038;modificationDate=1452103104183&#038;api=v2\" data-color-override=\"#0c68c4\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Download<\/span><i class=\"fa fa-cloud-download\"><\/i><\/a><\/td>\n<\/tr>\n<tr>\n<td>Genomics (web)<\/td>\n<td><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/portal.gdc.cancer.gov\/projects\/TCGA-LUAD\" data-color-override=\"#fa9b1d\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Search<\/span><i class=\"fa fa-search\"><\/i><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Extracted latest release of clinical data (TXT) from the GDC Data Portal.<\/p>\n<h3>Version 1: Updated 2014\/03\/28<\/h3>\n<table>\n<tbody>\n<tr>\n<th>Data Type<\/th>\n<th>Download all or Query\/Filter<\/th>\n<\/tr>\n<tr>\n<td>Images (DICOM, 9.4GB)<\/td>\n<td>\n<div><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/6881474\/TCIA_TCGA-LUAD_09-16-2015.tcia?version=1&#038;modificationDate=1534786964429&#038;api=v2\" data-color-override=\"#0c68c4\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Download<\/span><i class=\"fa fa-cloud-download\"><\/i><\/a> <a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/public.cancerimagingarchive.net\/ncia\/login.jsf\" data-color-override=\"#fa9b1d\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Search<\/span><i class=\"fa fa-search\"><\/i><\/a><\/div>\n<p>(Download requires the NBIA Data Retriever .)<\/td>\n<\/tr>\n<tr>\n<td>Clinical Data (TXT)<\/td>\n<td><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/6881474\/TCGA-LUAD%20Clinical%20Data.zip?version=1&#038;modificationDate=1415388381629&#038;api=v2\" data-color-override=\"#0c68c4\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Download<\/span><i class=\"fa fa-cloud-download\"><\/i><\/a><\/td>\n<\/tr>\n<tr>\n<td>Genomics (web)<\/td>\n<td><a class=\"nectar-button n-sc-button small undefined has-icon\"  href=\"https:\/\/portal.gdc.cancer.gov\/projects\/TCGA-LUAD\" data-color-override=\"#fa9b1d\" data-hover-color-override=\"false\" data-hover-text-color-override=\"undefined\"><span>Search<\/span><i class=\"fa fa-search\"><\/i><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n[\/vc_column_text][\/tab][\/tabbed_section][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"<p>[vc_row type=&#8221;in_container&#8221; full_screen_row_position=&#8221;middle&#8221; column_margin=&#8221;default&#8221; 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text_color=&#8221;dark&#8221;&#8230;<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":3870,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_searchwp_excluded":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-3866","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/pages\/3866","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/comments?post=3866"}],"version-history":[{"count":15,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/pages\/3866\/revisions"}],"predecessor-version":[{"id":48253,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/pages\/3866\/revisions\/48253"}],"up":[{"embeddable":true,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/pages\/3870"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=3866"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}