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Acute Tumor Transition Angle on Computed Tomography Predicts Chromosomal Instability Status of Primary Gastric Cancer: Radiogenomics Analysis from TCGA and Independent Validation

1
Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 333, Taiwan
2
Imaging Core Lab, Institute for Radiological Research, Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 333, Taiwan
3
Department of General Surgery, Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 333, Taiwan
4
Department of Pathology, Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 333, Taiwan
5
Clinical Metabolomics Core Lab, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
6
Clinical Trial Center, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
7
Department of Diagnostic Radiology, University of Hong Kong, Hong Kong 999077, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this manuscript.
Cancers 2019, 11(5), 641; https://doi.org/10.3390/cancers11050641
Received: 9 March 2019 / Revised: 16 April 2019 / Accepted: 7 May 2019 / Published: 9 May 2019
(This article belongs to the Special Issue Recent Advances in Gastric Cancer)
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Abstract

Chromosomal instability (CIN) of gastric cancer is correlated with distinct outcomes. This study aimed to investigate the role of computed tomography (CT) imaging traits in predicting the CIN status of gastric cancer. We screened 443 patients in the Cancer Genome Atlas gastric cancer cohort to filter 40 patients with complete CT imaging and genomic data as the training cohort. CT imaging traits were subjected to logistic regression to select independent predictors for the CIN status. For the validation cohort, we prospectively enrolled 18 gastric cancer patients for CT and tumor genomic analysis. The imaging predictors were tested in the validation cohort using receiver operating characteristic curve (ROC) analysis. Thirty patients (75%) in the training cohort and 9 patients (50%) in the validation cohort had CIN subtype gastric cancers. Smaller tumor diameter (p = 0.017) and acute tumor transition angle (p = 0.045) independently predict CIN status in the training cohort. In the validation cohort, acute tumor transition angle demonstrated the highest accuracy, sensitivity, and specificity of 88.9%, 88.9%, and 88.9%, respectively, and areas under ROC curve of 0.89. In conclusion, this pilot study showed acute tumor transition angle on CT images may predict the CIN status of gastric cancer. View Full-Text
Keywords: chromosomal instability; computed tomography; gastric cancer; morphology; radiogenomics chromosomal instability; computed tomography; gastric cancer; morphology; radiogenomics
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Lai, Y.-C.; Yeh, T.-S.; Wu, R.-C.; Tsai, C.-K.; Yang, L.-Y.; Lin, G.; Kuo, M.D. Acute Tumor Transition Angle on Computed Tomography Predicts Chromosomal Instability Status of Primary Gastric Cancer: Radiogenomics Analysis from TCGA and Independent Validation. Cancers 2019, 11, 641.

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