0000000000548764

AUTHOR

June-key Chung

0000-0002-6866-8571

showing 2 related works from this author

Establishment of a [18F]-FDG-PET/MRI Imaging Protocol for Gastric Cancer PDX as a Preclinical Research Tool

2020

Purpose The utility of 18-fluordesoxyglucose positron emission tomography ([18F]-FDG-PET) combined with computer tomography or magnetic resonance imaging (MRI) in gastric cancer remains controversial and a rationale for patient selection is desired. This study aims to establish a preclinical patient-derived xenograft (PDX) based [18F]-FDG-PET/MRI protocol for gastric cancer and compare different PDX models regarding tumor growth and FDG uptake. Materials and methods Female BALB/c nu/nu mice were implanted orthotopically and subcutaneously with gastric cancer PDX. [18F]-FDG-PET/MRI scanning protocol evaluation included different tumor sizes, FDG doses, scanning intervals, and organ-specific …

Cancer ResearchPathologymedicine.medical_specialtyStandardized uptake value03 medical and health sciences0302 clinical medicinemedicineAviditymedicine.diagnostic_testbiologybusiness.industryXenograftGastroenterologyGlucose transporterCancerMagnetic resonance imagingPET scanmedicine.diseasecarbohydrates (lipids)OncologyPositron emission tomography030220 oncology & carcinogenesisbiology.proteinImmunohistochemistry030211 gastroenterology & hepatologyGLUT1Original ArticlebusinessGastric cancerGlycolysisJournal of Gastric Cancer
researchProduct

Development of a gene panel for 18F-FDG PET positivity prediction in gastric cancer.

2020

420 Background: 18F-FDG PET is widely used in clinical cancer diagnostics. However, 18F-FDG PET scan in gastric cancer (GC) is still controversial because of its lower sensitivity in diagnosis and staging compared to other imaging modalities. The purpose of this study was to establish a gene panel for 18F-FDG PET positivity in GC by using patient-derived xenografts (PDXs). Methods: BALB/c nude mice were subcutaneously implanted with 30 cases of GC PDX tissues and underwent a simultaneous PET/MRI scanner. Using RNA-seq data of the 30 GC PDXs for training set, we constructed a gene co-expression network which was correlated with the maximal standardized uptake values (SUVmax). The least abso…

OncologyCancer Researchmedicine.medical_specialtyOncologybusiness.industryInternal medicinemedicineCancermedicine.diseasebusinessGene18f fdg petJournal of Clinical Oncology
researchProduct