Assessment of MGMT and TERT Subtypes and Prognosis of Glioblastoma by Whole Tumor Apparent Diffusion Coefficient Histogram Analysis
Abstract Background: Adult glioblastomas (GBMs) are associated with high recurrence and mortality. Personalized treatment based on molecular markers may help improve the prognosis. We aimed to evaluate whether apparent diffusion coefficient (ADC) histogram analysis can better predict MGMT and TERT m...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | Brain and Behavior |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/brb3.70175 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832582633719070720 |
|---|---|
| author | Ling Chen Min Wu Yao Li Lifang Tang Chuyun Tang Lizhao Huang Tao Li Li Zhu |
| author_facet | Ling Chen Min Wu Yao Li Lifang Tang Chuyun Tang Lizhao Huang Tao Li Li Zhu |
| author_sort | Ling Chen |
| collection | DOAJ |
| description | Abstract Background: Adult glioblastomas (GBMs) are associated with high recurrence and mortality. Personalized treatment based on molecular markers may help improve the prognosis. We aimed to evaluate whether apparent diffusion coefficient (ADC) histogram analysis can better predict MGMT and TERT molecular characteristics and to determine the prognostic relevance of genetic profile in patients with GBM. Materials and Methods: MRI, clinical, and pathological data of 79 patients with GBM were retrospectively collected. The ADC values based on histogram analysis were described using 10th percentile (p10), 90th percentile (p90), mean, median, minimum, maximum, skewness, kurtosis, and entropy. The independent‐sample t test, linear correlation analysis, receiver operating characteristics (ROC) curve analysis, Kaplan–Meier analysis, and Cox proportional hazard regression were performed. Results: MGMT promoter methylation and TERT promoter mutation were detected in 53.2% and 44.3% of GBM patients, respectively. The ADCp10 in MGMT promoter unmethylated group was significantly lower than that in the MGMT promoter methylated group (p = 0.005). There were significant differences in ADCmin, ADCp10, ADCmean, and entropy between TERT promoter mutant and wild‐type groups. Entropy showed the best diagnostic performance in differentiating between positive and negative TERT groups (AUC = 0.722, p = 0.001). Overall survival (OS) showed a positive correlation with ADCmin. The TERT promoter mutation was the only independent prognostic factor for GBM. Conclusions: ADC histogram analysis may be a potential noninvasive biomarker for differentiating MGMT and TERT molecular markers and providing prognostic information for GBM patients. |
| format | Article |
| id | doaj-art-275389ab13da4f74b3e94996dc8e2895 |
| institution | Kabale University |
| issn | 2162-3279 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Brain and Behavior |
| spelling | doaj-art-275389ab13da4f74b3e94996dc8e28952025-01-29T13:36:39ZengWileyBrain and Behavior2162-32792025-01-01151n/an/a10.1002/brb3.70175Assessment of MGMT and TERT Subtypes and Prognosis of Glioblastoma by Whole Tumor Apparent Diffusion Coefficient Histogram AnalysisLing Chen0Min Wu1Yao Li2Lifang Tang3Chuyun Tang4Lizhao Huang5Tao Li6Li Zhu7Department of Radiology Liuzhou Worker's Hospital Guangxi ChinaDepartment of Radiology Liuzhou Worker's Hospital Guangxi ChinaDepartment of Neurosurgery Liuzhou Worker's Hospital Guangxi ChinaDepartment of Radiology Liuzhou Worker's Hospital Guangxi ChinaDepartment of Radiology The First Affiliated Hospital of Guangxi Medical University Guangxi ChinaDepartment of Radiology Liuzhou Worker's Hospital Guangxi ChinaDepartment of Radiology Liuzhou Worker's Hospital Guangxi ChinaDepartment of Radiology Liuzhou Worker's Hospital Guangxi ChinaAbstract Background: Adult glioblastomas (GBMs) are associated with high recurrence and mortality. Personalized treatment based on molecular markers may help improve the prognosis. We aimed to evaluate whether apparent diffusion coefficient (ADC) histogram analysis can better predict MGMT and TERT molecular characteristics and to determine the prognostic relevance of genetic profile in patients with GBM. Materials and Methods: MRI, clinical, and pathological data of 79 patients with GBM were retrospectively collected. The ADC values based on histogram analysis were described using 10th percentile (p10), 90th percentile (p90), mean, median, minimum, maximum, skewness, kurtosis, and entropy. The independent‐sample t test, linear correlation analysis, receiver operating characteristics (ROC) curve analysis, Kaplan–Meier analysis, and Cox proportional hazard regression were performed. Results: MGMT promoter methylation and TERT promoter mutation were detected in 53.2% and 44.3% of GBM patients, respectively. The ADCp10 in MGMT promoter unmethylated group was significantly lower than that in the MGMT promoter methylated group (p = 0.005). There were significant differences in ADCmin, ADCp10, ADCmean, and entropy between TERT promoter mutant and wild‐type groups. Entropy showed the best diagnostic performance in differentiating between positive and negative TERT groups (AUC = 0.722, p = 0.001). Overall survival (OS) showed a positive correlation with ADCmin. The TERT promoter mutation was the only independent prognostic factor for GBM. Conclusions: ADC histogram analysis may be a potential noninvasive biomarker for differentiating MGMT and TERT molecular markers and providing prognostic information for GBM patients.https://doi.org/10.1002/brb3.70175apparent diffusion coefficient histogramdiffusion‐weighted imagingglioblastomaMGMTTERT |
| spellingShingle | Ling Chen Min Wu Yao Li Lifang Tang Chuyun Tang Lizhao Huang Tao Li Li Zhu Assessment of MGMT and TERT Subtypes and Prognosis of Glioblastoma by Whole Tumor Apparent Diffusion Coefficient Histogram Analysis Brain and Behavior apparent diffusion coefficient histogram diffusion‐weighted imaging glioblastoma MGMT TERT |
| title | Assessment of MGMT and TERT Subtypes and Prognosis of Glioblastoma by Whole Tumor Apparent Diffusion Coefficient Histogram Analysis |
| title_full | Assessment of MGMT and TERT Subtypes and Prognosis of Glioblastoma by Whole Tumor Apparent Diffusion Coefficient Histogram Analysis |
| title_fullStr | Assessment of MGMT and TERT Subtypes and Prognosis of Glioblastoma by Whole Tumor Apparent Diffusion Coefficient Histogram Analysis |
| title_full_unstemmed | Assessment of MGMT and TERT Subtypes and Prognosis of Glioblastoma by Whole Tumor Apparent Diffusion Coefficient Histogram Analysis |
| title_short | Assessment of MGMT and TERT Subtypes and Prognosis of Glioblastoma by Whole Tumor Apparent Diffusion Coefficient Histogram Analysis |
| title_sort | assessment of mgmt and tert subtypes and prognosis of glioblastoma by whole tumor apparent diffusion coefficient histogram analysis |
| topic | apparent diffusion coefficient histogram diffusion‐weighted imaging glioblastoma MGMT TERT |
| url | https://doi.org/10.1002/brb3.70175 |
| work_keys_str_mv | AT lingchen assessmentofmgmtandtertsubtypesandprognosisofglioblastomabywholetumorapparentdiffusioncoefficienthistogramanalysis AT minwu assessmentofmgmtandtertsubtypesandprognosisofglioblastomabywholetumorapparentdiffusioncoefficienthistogramanalysis AT yaoli assessmentofmgmtandtertsubtypesandprognosisofglioblastomabywholetumorapparentdiffusioncoefficienthistogramanalysis AT lifangtang assessmentofmgmtandtertsubtypesandprognosisofglioblastomabywholetumorapparentdiffusioncoefficienthistogramanalysis AT chuyuntang assessmentofmgmtandtertsubtypesandprognosisofglioblastomabywholetumorapparentdiffusioncoefficienthistogramanalysis AT lizhaohuang assessmentofmgmtandtertsubtypesandprognosisofglioblastomabywholetumorapparentdiffusioncoefficienthistogramanalysis AT taoli assessmentofmgmtandtertsubtypesandprognosisofglioblastomabywholetumorapparentdiffusioncoefficienthistogramanalysis AT lizhu assessmentofmgmtandtertsubtypesandprognosisofglioblastomabywholetumorapparentdiffusioncoefficienthistogramanalysis |