Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis

Objectives To investigate the association between CT imaging traits and texture metrics with proteomic data in patients with high-grade serous ovarian cancer (HGSOC). Methods This retrospective, hypothesis-generating study included 20 patients with HGSOC prior to primary cytoreductive surgery. Two r...

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Bibliographic Details
Published in:	European radiology 2020-08, Vol.30 (8), p.4306-4316
Main Authors:	Beer, Lucian, Sahin, Hilal, Bateman, Nicholas W., Blazic, Ivana, Vargas, Hebert Alberto, Veeraraghavan, Harini, Kirby, Justin, Fevrier-Sullivan, Brenda, Freymann, John B., Jaffe, C. Carl, Brenton, James, Miccó, Maura, Nougaret, Stephanie, Darcy, Kathleen M., Maxwell, G. Larry, Conrads, Thomas P., Huang, Erich, Sala, Evis
Format:	Article
Language:	eng
Subjects:	Abdominal Cavity - diagnostic imaging Adaptor Proteins, Signal Transducing - metabolism Aged Aged, 80 and over Aldehyde Oxidoreductases - metabolism Antigens, Neoplasm - metabolism Cancer Carcinoma, Ovarian Epithelial - diagnostic imaging Carcinoma, Ovarian Epithelial - metabolism Carcinoma, Ovarian Epithelial - secondary Computed tomography Correlation coefficient Correlation coefficients Cytokines - metabolism Diagnostic Radiology Female Gene Expression Profiling Glucose-6-Phosphate Isomerase - metabolism Heterogeneity Humans Image contrast Image enhancement Imaging Internal Medicine Interventional Radiology LIM Domain Proteins - metabolism Medical imaging Medical prognosis Medicine Medicine & Public Health Mesentery Mesentery - diagnostic imaging Metastases Middle Aged Neoplasm Grading Neoplasm Proteins - metabolism Neoplasms, Cystic, Mucinous, and Serous - diagnostic imaging Neoplasms, Cystic, Mucinous, and Serous - metabolism Neoplasms, Cystic, Mucinous, and Serous - secondary Neuroradiology Omentum - diagnostic imaging Ovarian cancer Ovarian Neoplasms - diagnostic imaging Ovarian Neoplasms - metabolism Ovarian Neoplasms - pathology Peritoneal Neoplasms - diagnostic imaging Peritoneal Neoplasms - metabolism Peritoneal Neoplasms - secondary Pilot Projects Proteins Proteomics Qualitative research Radiology Radiomics Retrospective Studies ROC Curve Surgery Texture Tomography, X-Ray Computed - methods Tumors Ultrasound Urogenital
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Summary:	Objectives To investigate the association between CT imaging traits and texture metrics with proteomic data in patients with high-grade serous ovarian cancer (HGSOC). Methods This retrospective, hypothesis-generating study included 20 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 which were computed from each tumor site. Three texture features that represented intra- and inter-site tumor heterogeneity were used for analysis. An integrated analysis of transcriptomic and proteomic data identified proteins with conserved expression between primary tumor 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
ISSN:	0938-7994 1432-1084