Prospective Prediction of Treatment Response in High-Grade Glioma Patients using Pre-Treatment Tumor ADC Value and miR-222 and miR-205 Expression Levels in Plasma
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 g...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Shiraz University of Medical Sciences
2024-04-01
|
| Series: | Journal of Biomedical Physics and Engineering |
| Subjects: | |
| Online Access: | https://jbpe.sums.ac.ir/article_48777_ba6840ecddc7a2f3a274703008749f88.pdf |
| _version_ | 1797209471579062272 |
|---|---|
| author | Maryam Heidari Alireza Amouheidari Simin Hemati Hossein Khanahmad Ilnaz Rahimmanesh Peyman Jafari Parvaneh Shokrani |
| author_facet | Maryam Heidari Alireza Amouheidari Simin Hemati Hossein Khanahmad Ilnaz Rahimmanesh Peyman Jafari Parvaneh Shokrani |
| author_sort | Maryam Heidari |
| collection | DOAJ |
| description | 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, 18 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-222 and miR-205 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-205, miR-222, tumor’s mean ADC value, BMI, and age were 3.611, -1.683, 2.468, -0.184, and -0.024, respectively. Mann-Whitney U test results showed miR-205 and tumor’s mean ADC significantly related to treatment response (P-value˂0.05). Conclusion: The miR-205 expression level of the patient in plasma and tumor’s mean ADC value has the potential for prognostic predictors in HGG. |
| first_indexed | 2024-04-24T09:55:14Z |
| format | Article |
| id | doaj.art-4c0b3cbd6f074fd187e96e871499cf72 |
| institution | Directory Open Access Journal |
| issn | 2251-7200 |
| language | English |
| last_indexed | 2024-04-24T09:55:14Z |
| publishDate | 2024-04-01 |
| publisher | Shiraz University of Medical Sciences |
| record_format | Article |
| series | Journal of Biomedical Physics and Engineering |
| spelling | doaj.art-4c0b3cbd6f074fd187e96e871499cf722024-04-14T11:11:41ZengShiraz University of Medical SciencesJournal of Biomedical Physics and Engineering2251-72002024-04-0114211111810.31661/jbpe.v0i0.2108-137648777Prospective Prediction of Treatment Response in High-Grade Glioma Patients using Pre-Treatment Tumor ADC Value and miR-222 and miR-205 Expression Levels in PlasmaMaryam Heidari0Alireza Amouheidari1Simin Hemati2Hossein Khanahmad3Ilnaz Rahimmanesh4Peyman Jafari5Parvaneh Shokrani6Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IranDepartment of Radiation Oncology, Isfahan Milad Hospital, Isfahan, IranDepartment of Radiotherapy Oncology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, IranDepartment of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IranApplied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, IranDepartment of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, IranDepartment of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IranBackground: 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, 18 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-222 and miR-205 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-205, miR-222, tumor’s mean ADC value, BMI, and age were 3.611, -1.683, 2.468, -0.184, and -0.024, respectively. Mann-Whitney U test results showed miR-205 and tumor’s mean ADC significantly related to treatment response (P-value˂0.05). Conclusion: The miR-205 expression level of the patient in plasma and tumor’s mean ADC value has the potential for prognostic predictors in HGG.https://jbpe.sums.ac.ir/article_48777_ba6840ecddc7a2f3a274703008749f88.pdfmicrornasadc mapregression analysislasso modelglioma |
| spellingShingle | Maryam Heidari Alireza Amouheidari Simin Hemati Hossein Khanahmad Ilnaz Rahimmanesh Peyman Jafari Parvaneh Shokrani Prospective Prediction of Treatment Response in High-Grade Glioma Patients using Pre-Treatment Tumor ADC Value and miR-222 and miR-205 Expression Levels in Plasma Journal of Biomedical Physics and Engineering micrornas adc map regression analysis lasso model glioma |
| title | Prospective Prediction of Treatment Response in High-Grade Glioma Patients using Pre-Treatment Tumor ADC Value and miR-222 and miR-205 Expression Levels in Plasma |
| title_full | Prospective Prediction of Treatment Response in High-Grade Glioma Patients using Pre-Treatment Tumor ADC Value and miR-222 and miR-205 Expression Levels in Plasma |
| title_fullStr | Prospective Prediction of Treatment Response in High-Grade Glioma Patients using Pre-Treatment Tumor ADC Value and miR-222 and miR-205 Expression Levels in Plasma |
| title_full_unstemmed | Prospective Prediction of Treatment Response in High-Grade Glioma Patients using Pre-Treatment Tumor ADC Value and miR-222 and miR-205 Expression Levels in Plasma |
| title_short | Prospective Prediction of Treatment Response in High-Grade Glioma Patients using Pre-Treatment Tumor ADC Value and miR-222 and miR-205 Expression Levels in Plasma |
| title_sort | prospective prediction of treatment response in high grade glioma patients using pre treatment tumor adc value and mir 222 and mir 205 expression levels in plasma |
| topic | micrornas adc map regression analysis lasso model glioma |
| url | https://jbpe.sums.ac.ir/article_48777_ba6840ecddc7a2f3a274703008749f88.pdf |
| work_keys_str_mv | AT maryamheidari prospectivepredictionoftreatmentresponseinhighgradegliomapatientsusingpretreatmenttumoradcvalueandmir222andmir205expressionlevelsinplasma AT alirezaamouheidari prospectivepredictionoftreatmentresponseinhighgradegliomapatientsusingpretreatmenttumoradcvalueandmir222andmir205expressionlevelsinplasma AT siminhemati prospectivepredictionoftreatmentresponseinhighgradegliomapatientsusingpretreatmenttumoradcvalueandmir222andmir205expressionlevelsinplasma AT hosseinkhanahmad prospectivepredictionoftreatmentresponseinhighgradegliomapatientsusingpretreatmenttumoradcvalueandmir222andmir205expressionlevelsinplasma AT ilnazrahimmanesh prospectivepredictionoftreatmentresponseinhighgradegliomapatientsusingpretreatmenttumoradcvalueandmir222andmir205expressionlevelsinplasma AT peymanjafari prospectivepredictionoftreatmentresponseinhighgradegliomapatientsusingpretreatmenttumoradcvalueandmir222andmir205expressionlevelsinplasma AT parvanehshokrani prospectivepredictionoftreatmentresponseinhighgradegliomapatientsusingpretreatmenttumoradcvalueandmir222andmir205expressionlevelsinplasma |