دورية أكاديمية
Integrated Multi-Tumor Radio-Genomic Marker of Outcomes in Patients with High Serous Ovarian Carcinoma
| العنوان: | Integrated Multi-Tumor Radio-Genomic Marker of Outcomes in Patients with High Serous Ovarian Carcinoma |
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| المؤلفون: | Veeraraghavan, Harini, Vargas, Herbert Alberto, Sánchez, Alejandro-Jiménez, Micco, Maura, Mema, Eralda, Lakhman, Yulia, Crispin-Ortuzar, Mireia, Huang, Erich P., Levine, Douglas A., Grisham, Rachel N., Abu-Rustum, Nadeem, Deasy, Joseph O., Snyder, Alexandra, Miller, Martin L., Brenton, James D., Sala, Evis |
| بيانات النشر: | MDPI Cancers |
| سنة النشر: | 2020 |
| المجموعة: | Apollo - University of Cambridge Repository |
| مصطلحات موضوعية: | machine learning, radiomics, high grade serous ovarian cancer, computed tomography, chemotherapy response prognostication, intra-site and inter-site radiomic heterogeneity |
| الوصف: | Purpose: Develop an integrated intra-site and inter-site radiomics-clinical-genomic marker of high grade serous ovarian cancer (HGSOC) outcomes and explore the biological basis of radiomics with respect to molecular signaling pathways and the tumor microenvironment (TME). Method: Seventy-five stage III-IV HGSOC patients from internal (N = 40) and external factors via the Cancer Imaging Archive (TCGA) (N = 35) with pre-operative contrast enhanced CT, attempted primary cytoreduction, at least two disease sites, and molecular analysis performed within TCGA were retrospectively analyzed. An intra-site and inter-site radiomics (cluDiss) measure was combined with clinical-genomic variables (iRCG) and compared against conventional (volume and number of sites) and average radiomics (N = 75) for prognosticating progression-free survival (PFS) and platinum resistance. Correlation with molecular signaling and TME derived using a single sample gene set enrichment that was measured. Results: The iRCG model had the best platinum resistance classification accuracy (AUROC of 0.78 [95% CI 0.77 to 0.80]). CluDiss was associated with PFS (HR 1.03 [95% CI: 1.01 to 1.05], p = 0.002), negatively correlated with Wnt signaling, and positively to immune TME. Conclusions: CluDiss and the iRCG prognosticated HGSOC outcomes better than conventional and average radiomic measures and could better stratify patient outcomes if validated on larger multi-center trials. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | text/xml; application/pdf; application/zip |
| اللغة: | English |
| العلاقة: | https://www.repository.cam.ac.uk/handle/1810/313135Test |
| DOI: | 10.17863/CAM.60238 |
| الإتاحة: | https://doi.org/10.17863/CAM.60238Test https://www.repository.cam.ac.uk/handle/1810/313135Test |
| حقوق: | Attribution 4.0 International (CC BY 4.0) ; https://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: | edsbas.AE69F24C |
| قاعدة البيانات: | BASE |
| DOI: | 10.17863/CAM.60238 |
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