{"id":45891,"date":"2023-11-20T05:40:38","date_gmt":"2023-11-20T11:40:38","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/analysis-result\/tcga-ov-proteogenomics\/"},"modified":"2025-01-22T10:30:47","modified_gmt":"2025-01-22T16:30:47","slug":"tcga-ov-proteogenomics","status":"publish","type":"tcia_analysis_result","link":"https:\/\/stage.cancerimagingarchive.net\/analysis-result\/tcga-ov-proteogenomics\/","title":{"rendered":"TCGA-OV-PROTEOGENOMICS"},"featured_media":0,"template":"","class_list":["post-45891","tcia_analysis_result","type-tcia_analysis_result","status-publish"],"cancer_types":["High grade serous ovarian cancer"],"citations":[45883,45885,9225],"result_doi":"10.7937\/TCIA.2019.9stoinf1","result_download_info":"","result_downloads":[45889],"version_change_log_archived":"Version 1 (Current): 2020\/04\/06\r\n   Data TypeDownload all or Query\/FilterImages (DICOM, 3 GB)(Download requires\u00a0the\u00a0NBIA Data Retriever)Image Analyses, Proteogenomic features, and Clinical data (CSV)","versions":false,"additional_resources":"","cancer_locations":["Ovary"],"publications_related":"","result_page_accessibility":"Public","detailed_description":"","publications_using":"TCIA maintains\u00a0<a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\">a list of publications<\/a> that leverage TCIA data. If you have a manuscript you'd like to add please <a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\">contact TCIA's Helpdesk<\/a>.","result_title":"Integration of CT-based Qualitative and Radiomic Features with Proteomic Variables in Patients with High-Grade Serous Ovarian Cancer: An Exploratory Analysis","species":false,"version_number":"1","date_updated":"2020-04-06","related_collections":[44155],"result_short_title":"TCGA-OV-Proteogenomics","subjects":"20","related_analysis_results":false,"result_browse_title":"Integration of CT-based Qualitative and Radiomic Features with Proteomic Variables in Patients with High-Grade Serous Ovarian Cancer: An Exploratory Analysis (TCGA-OV-Proteogenomics)","supporting_data":["Radiologist assessments of image features","proteogenomic features","Clinical"],"version_change_log":"","collections":"","result_summary":"<strong>Objectives<\/strong>\r\n\r\nTo investigate the association between CT imaging traits and texture metrics with proteomic data in patients with high-grade serous ovarian cancer (HGSOC).\r\n\r\n<strong>Methods<\/strong>\r\n\r\nThis retrospective, hypothesis-generating study included 20 <a href=\"https:\/\/cancerimagingarchive.net\/collection\/tcga-ov\/\" target=\"_blank\" rel=\"noopener\">The Cancer Genome Atlas Ovarian Cancer Collection (TCGA-OV)<\/a> patients with HGSOC prior to primary cytoreductive surgery. Two readers independently assessed the contrast-enhanced computed tomography (CT) images and extracted 33 imaging traits, with a third reader adjudicating in the event of a disagreement. In addition, all sites of suspected HGSOC were manually segmented texture features were computed from each tumour site. Three texture features that represented intra-and inter-site tumour heterogeneity were used for analysis. An integrated analysis of transcriptomic and proteomic data identified proteins with conserved expression between primary tumour sites and metastasis. Correlations between protein-abundance and various CT imaging traits and texture features were assessed using the Kendall tau rank correlation-coefficient and the Mann-Whitney U test, whereas the area under the receiver-operating characteristic curve (AUC) was reported as a metric of the strength and the direction of the association. p values &lt; 0.05 were considered significant.\r\n\r\n<strong>Results<\/strong>\r\n\r\nFour proteins were associated with CT-based imaging traits, with the strongest correlation observed between the CRIP2 protein and disease in the mesentery (p&lt;0.001, AUC=0.05). The abundance of three proteins was associated with texture features that represented intra-and inter-site tumour heterogeneity, with the strongest negative correlation between the CKB protein and cluster dissimilarity (p=0.047, t =0.326).\r\n\r\n<strong>Conclusion<\/strong>\r\n\r\nThis study provides the first insights into the potential associations between standard-of-care CT imaging traits and texture measures of intra-and inter-site heterogeneity, and the abundance of several proteins.","collection_downloads":[45887],"result_featured_image":false,"result_acknowledgements":"","hide_from_browse_table":"0","program":["Community"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results\/45891","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/tcia_analysis_result"}],"version-history":[{"count":1,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results\/45891\/revisions"}],"predecessor-version":[{"id":47445,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/analysis-results\/45891\/revisions\/47445"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=45891"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}