Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis
| Autor: | G. Larry Maxwell, Thomas P. Conrads, John Freymann, Kathleen M. Darcy, Lucian Beer, Evis Sala, Ivana Blazic, Hebert Alberto Vargas, Erich Huang, Hilal Sahin, James D. Brenton, C. Carl Jaffe, Maura Miccò, Justin Kirby, Harini Veeraraghavan, Nicholas W. Bateman, Stephanie Nougaret, Brenda Fevrier-Sullivan |
|---|---|
| Přispěvatelé: | Sala, Evis [0000-0002-5518-9360], Apollo - University of Cambridge Repository |
| Rok vydání: | 2020 |
| Předmět: |
Oncology
Proteomics Pilot Projects Carcinoma Ovarian Epithelial Ovarian neoplasms 030218 nuclear medicine & medical imaging Metastasis Correlation 0302 clinical medicine Mesentery Peritoneal Neoplasms Neuroradiology Aged 80 and over Urogenital Abdominal Cavity General Medicine LIM Domain Proteins Middle Aged Prognosis Primary tumor Aldehyde Oxidoreductases Neoplasm Proteins 030220 oncology & carcinogenesis Cytokines Female Radiology Omentum medicine.medical_specialty 03 medical and health sciences Antigens Neoplasm Internal medicine medicine Humans Radiology Nuclear Medicine and imaging Adaptor Proteins Signal Transducing Aged Retrospective Studies Radiomics Receiver operating characteristic business.industry Gene Expression Profiling Glucose-6-Phosphate Isomerase medicine.disease Gene expression profiling ROC Curve Mann–Whitney U test Neoplasm Grading business Neoplasms Cystic Mucinous and Serous Tomography X-Ray Computed |
| Zdroj: | European Radiology |
| DOI: | 10.17863/cam.49644 |
| Popis: | 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 Results Four proteins were associated with CT-based imaging traits, with the strongest correlation observed between the CRIP2 protein and disease in the mesentery (p p = 0.047, τ = 0.326). Conclusion This 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. Key Points • CT-based texture features of intra- and inter-site tumor heterogeneity correlate with the abundance of several proteins in patients with HGSOC. • CT imaging traits correlate with protein abundance in patients with HGSOC. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|