Prospective Prediction of Treatment Response in High-Grade Glioma Patients using Pre-Treatment Tumor ADC Value and miR-۲۲۲ and miR-۲۰۵ Expression Levels in Plasma
- سال انتشار: 1403
- محل انتشار: مجله فیزیک و مهندسی پزشکی، دوره: 14، شماره: 2
- کد COI اختصاصی: JR_JBPE-14-2_001
- زبان مقاله: انگلیسی
- تعداد مشاهده: 41
نویسندگان
Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
Department of Radiation Oncology, Isfahan Milad Hospital, Isfahan, Iran
Department of Radiotherapy Oncology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
چکیده
Background: Treatment response in High-grade Glioma (HGG) patients changes based on their genetic and biological characteristics. MiRNAs, as important regulators of drug and radiation resistance, and the Apparent Diffusion Coefficients (ADC) value of tumor can be used as a prognostic predictor for glioma.Objective: This study aimed to identify some of the pre-treatment individual patient features for predicting the treatment response in HGG patients.Material and Methods: In this prospective study, ۱۸ HGG patients, who were candidated for chemo-radiation treatment, participated after informed consent of the patients. The investigated features were the expression level of miR-۲۲۲ and miR-۲۰۵ in plasma, the ADC value of tumor, Body Mass Index (BMI), and age. Treatment response was assessed, and Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to obtain a model to predict the treatment response. Mann-Whitney U test was also applied to select the variables with a significant relationship with patients’ treatment response.Results: The LASSO coefficients for miR-۲۰۵, miR-۲۲۲, tumor’s mean ADC value, BMI, and age were ۳.۶۱۱, -۱.۶۸۳, ۲.۴۶۸, -۰.۱۸۴, and -۰.۰۲۴, respectively. Mann-Whitney U test results showed miR-۲۰۵ and tumor’s mean ADC significantly related to treatment response (P-value˂۰.۰۵). Conclusion: The miR-۲۰۵ expression level of the patient in plasma and tumor’s mean ADC value has the potential for prognostic predictors in HGG.کلیدواژه ها
MicroRNAs, ADC Map, Regression Analysis, LASSO Model, Gliomaاطلاعات بیشتر در مورد COI
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