scholarly journals Effects of the MAML2 genetic variants in glioma susceptibility and prognosis

2019 ◽  
Vol 39 (10) ◽  
Author(s):  
Ming Zhang ◽  
Yonglin Zhao ◽  
Junjie Zhao ◽  
Tingqin Huang ◽  
Xiaoye Guo ◽  
...  
Keyword(s):  
Progression Free Survival ◽  
Low Grade ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Cox Proportional Hazard ◽  
Kaplan Meier ◽  
Hazard Ratios ◽  
Glioma Risk ◽  
And Gender ◽  
Cox Proportional Hazard Regression

Abstract Background: Abnormal expression of the mastermind-like transcriptional co-activator 2 (MAML2) gene is oncogenic in several human cancers, including glioma. However, the relevance of MAML2 variants with glioma remains unknown. We aimed to investigate the role of MAML2 polymorphisms in glioma risk and prognosis among the Chinese Han population. Methods: Seven MAML2 single-nucleotide polymorphisms (SNPs) were genotyped using Agena MassARRAY system among 575 patients with glioma and 500 age- and gender-matched healthy controls. Logistic regression was used to estimate the association between MAML2 polymorphisms and glioma risk by calculating odds ratios (ORs) and 95% confidence intervals (CI). Kaplan–Meier survival analysis and univariate, multivariate Cox proportional hazard regression analyses for hazard ratios (HRs) and 95% CIs were performed to evaluate the contribution of MAML2 polymorphisms to glioma prognosis. Results:MAML2 rs7938889 and rs485842 polymorphisms were associated with the reduced risk of glioma (OR = 0.69, P=0.023; and OR = 0.81, P=0.032, respectively). Rs7115578 polymorphism had a lower susceptibility to glioma in males (OR = 0.68, P=0.034), while rs4598633 variant with a higher risk in females (OR = 1.66, P=0.016). Additionally, rs7115578 AG genotype represented a poorer prognosis of glioma (HR = 1.24, P=0.033) and astrocytoma (log-rank P=0.037, HR = 1.31, P=0.036). Furthermore, rs11021499 polymorphism had lower overall survival (OS) and progression-free survival (PFS) in patients with low-grade glioma. Conclusion: We provided some novel data suggesting MAML2 polymorphisms might contribute to glioma risk and prognosis. Future studies are warranted to validate these findings and characterize mechanisms underlying these associations.

scholarly journals Genetic variants in MIR17HG affect the susceptibility and prognosis of glioma in a Chinese Han population

2020 ◽  
Author(s):  
Jigao Feng ◽  
Yibin Ouyang ◽  
Dedong Xu ◽  
Qinglong He ◽  
Dayuan Liu ◽  
...  
Keyword(s):  
Progression Free Survival ◽  
Chinese Han Population ◽  
Migration And Invasion ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Han Population ◽  
Kaplan Meier ◽  
Hazard Ratios ◽  
The Relationship

Abstract Background: lncRNA MIR17HG was upregulated in glioma, and participated in promoting proliferation, migration and invasion of glioma. However, the role of MIR17HG polymorphisms in the occurrence and prognosis of glioma is still unclear.Methods: In the study, 592 glioma patients and 502 control subjects were recruited. Agena MassARRAY platform was used to detect the genotype of MIR17HG polymorphisms. Logistic regression analysis was used to evaluate the relationship between MIR17HG single nucleotide polymorphisms (SNPs) and glioma risk by odds ratio (OR) and 95% confidence intervals (CIs). Kaplan–Meier curves, Cox hazards models were performed for assessing the role of these SNPs in glioma prognosis by hazard ratios (HR) and 95% CIs.Results: We found that rs7318578 (OR = 2.25, p = 3.18´10-5) was significantly associated with glioma susceptibility in the overall participants. In the subgroup with age < 40 years, rs17735387 (OR = 1.53, p = 9.05´10-3) and rs7336610 (OR = 1.35, p = 0.016) were related to the higher glioma susceptibility. More importantly, rs17735387 (HR = 0.82, log-rank p = 0.026) were associated with the longer survival of glioma patients. The GA genotype of rs17735387 had a better overall survival (HR = 0.75, log-rank p = 0.013) and progression free survival (HR = 0.73, log-rank p = 0.032) in patients with Ⅰ-Ⅱ glioma. We also found that rs72640334 was related to the poor prognosis (HR = 1.49, Log-rank p = 0.035) in female patients. In the subgroup of patients with age ³ 40 years, rs17735387 was associated with a better prognosis (HR = 0.036, Log-rank p = 0.002).Conclusion: Our study firstly reported that MIR17HG rs7318578 was a risk factor for glioma susceptibility and rs17735387 was associated with the longer survival of glioma among Chinese Han population, which might help to enhance the understanding of MIR17HG gene in gliomagenesis.

scholarly journals Genetic variants in MIR17HG affect the susceptibility and prognosis of glioma in a Chinese Han population

2020 ◽  
Author(s):  
Jigao Feng ◽  
Yibin Ouyang ◽  
Dedong Xu ◽  
Qinglong He ◽  
Dayuan Liu ◽  
...  
Keyword(s):  
Progression Free Survival ◽  
Chinese Han Population ◽  
Migration And Invasion ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Han Population ◽  
Kaplan Meier ◽  
Hazard Ratios

Abstract BackgroundlncRNA MIR17HG was upregulated in glioma, and participated in promoting proliferation, migration and invasion of glioma. However, the role of MIR17HG polymorphisms in the occurrence and prognosis of glioma is still unclear.MethodsIn the study, 592 glioma patients and 502 control subjects were recruited. Agena MassARRAY platform was used to detect the genotype of MIR17HG polymorphisms. Logistic regression analysis was used to evaluate the relationship between MIR17HG single nucleotide polymorphisms (SNPs) and glioma risk by odds ratio (OR) and 95% confidence intervals (CIs). Kaplan–Meier curves, Cox hazards models were performed for assessing the role of these SNPs in glioma prognosis by hazard ratios (HR) and 95% CIs.ResultsWe found that rs7318578 (OR = 2.25, p = 3.18x10-5) was significantly associated with glioma susceptibility in the overall participants. In the subgroup with age < 40 years, rs17735387 (OR = 1.53, p = 9.05x10-3) and rs7336610 (OR = 1.35, p = 0.016) were related to the higher glioma susceptibility. More importantly, rs17735387 (HR = 0.82, log-rank p = 0.026) were associated with the longer survival of glioma patients. The GA genotype of rs17735387 had a better overall survival (HR = 0.75, log-rank p = 0.013) and progression free survival (HR = 0.73, log-rank p = 0.032) in patients with Ⅰ-Ⅱ glioma. We also found that rs72640334 was related to the poor prognosis (HR = 1.49, Log-rank p = 0.035) in female patients. In the subgroup of patients with age ≥ 40 years, rs17735387 was associated with a better prognosis (HR = 0.036, Log-rank p = 0.002).ConclusionOur study firstly reported that MIR17HG rs7318578 was a risk factor for glioma susceptibility and rs17735387 was associated with the longer survival of glioma among Chinese Han population, which might help to enhance the understanding of MIR17HG gene in gliomagenesis. In subsequent studies, we will continue to collect samples and follow up to further validate our findings and further explore the function of these MIR17HG SNPs in glioma in a larger sample size.

scholarly journals Genetic variants in MIR17HG affect the susceptibility and prognosis of glioma in a Chinese Han population

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Jigao Feng ◽  
Yibin Ouyang ◽  
Dedong Xu ◽  
Qinglong He ◽  
Dayuan Liu ◽  
...  
Keyword(s):  
Progression Free Survival ◽  
Chinese Han Population ◽  
Migration And Invasion ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Han Population ◽  
Kaplan Meier ◽  
Hazard Ratios

Abstract Background lncRNA MIR17HG was upregulated in glioma, and participated in promoting proliferation, migration and invasion of glioma. However, the role of MIR17HG polymorphisms in the occurrence and prognosis of glioma is still unclear. Methods In the study, 592 glioma patients and 502 control subjects were recruited. Agena MassARRAY platform was used to detect the genotype of MIR17HG polymorphisms. Logistic regression analysis was used to evaluate the relationship between MIR17HG single nucleotide polymorphisms (SNPs) and glioma risk by odds ratio (OR) and 95% confidence intervals (CIs). Kaplan–Meier curves, Cox hazards models were performed for assessing the role of these SNPs in glioma prognosis by hazard ratios (HR) and 95% CIs. Results We found that rs7318578 (OR = 2.25, p = 3.18 × 10− 5) was significantly associated with glioma susceptibility in the overall participants. In the subgroup with age <  40 years, rs17735387 (OR = 1.53, p = 9.05 × 10− 3) and rs7336610 (OR = 1.35, p = 0.016) were related to the higher glioma susceptibility. More importantly, rs17735387 (HR = 0.82, log-rank p = 0.026) were associated with the longer survival of glioma patients. The GA genotype of rs17735387 had a better overall survival (HR = 0.75, log-rank p = 0.013) and progression free survival (HR = 0.73, log-rank p = 0.032) in patients with I-II glioma. We also found that rs72640334 was related to the poor prognosis (HR = 1.49, Log-rank p = 0.035) in female patients. In the subgroup of patients with age ≥ 40 years, rs17735387 was associated with a better prognosis (HR = 0.036, Log-rank p = 0.002). Conclusion Our study firstly reported that MIR17HG rs7318578 was a risk factor for glioma susceptibility and rs17735387 was associated with the longer survival of glioma among Chinese Han population, which might help to enhance the understanding of MIR17HG gene in gliomagenesis. In subsequent studies, we will continue to collect samples and follow up to further validate our findings and further explore the function of these MIR17HG SNPs in glioma in a larger sample size.

scholarly journals Genetic variants in MIR17HG affect the susceptibility and prognosis of glioma in a Chinese Han population

2020 ◽  
Author(s):  
Jigao Feng ◽  
Yibin Ouyang ◽  
Dedong Xu ◽  
Qinglong He ◽  
Dayuan Liu ◽  
...  
Keyword(s):  
Genetic Variants ◽  
Odds Ratio ◽  
Progression Free Survival ◽  
Chinese Han Population ◽  
Chinese Han ◽  
Free Survival ◽  
Han Population ◽  
Kaplan Meier ◽  
Hazard Ratios

Abstract Background: lncRNA MIR17HG was upregulated in glioma, and involved glioma proliferation, migration, invasion and promoted apoptosis. However, the role of MIR17HG polymorphisms on the occurrence and prognosis of glioma is not obvious. Methods: In the study, 592 glioma patients and 502 control subjects conducted. Agena MassARRAY platform was used to detect the genotype of MIR17HG polymorphisms. Logistic regression analysis was used to evaluate the relation of MIR17HG SNPs to glioma risk by odds ratio (OR) and 95% confidence intervals (CIs). Kaplan–Meier curves, Cox hazards models were performed for assessing the role of these SNPs in glioma prognosis by hazard ratios (HR) and 95% CIs. Results: We found that rs7318578 (OR = 2.25, p = 3.18x10-5) was significantly associated with glioma susceptibility. Rs17735387 (OR = 1.53, p = 9.05x10-3) and rs7336610 (OR = 1.35, p = 0.016) had a higher glioma susceptibility in the subgroup with age < 40 years. More importantly, rs17735387 (HR = 0.82, log-rank p = 0.026) improved glioma prognosis. GA genotype of rs17735387 had a better overall survival (HR = 0.75, log-rank p = 0.013) and progression free survival (HR = 0.73, log-rank p = 0.032) in patients with Ⅰ-Ⅱ glioma. Conclusion: Our study firstly reported that MIR17HG polymorphisms, especially rs7318578, might be risk factors for glioma susceptibility and rs17735387 improved the prognosis of glioma among Chinese Han population, which might help to enhance the understanding of MIR17HG gene in gliomagenesis.

scholarly journals APC gene 3′UTR SNPs and interactions with environmental factors are correlated with risk of colorectal cancer in Chinese Han population

2020 ◽  
Vol 40 (3) ◽  
Author(s):  
Rongbiao Ying ◽  
Zhiping Wei ◽  
Yuxian Mei ◽  
Shasha Chen ◽  
Liming Zhu
Keyword(s):  
Colorectal Cancer ◽  
Environmental Factors ◽  
Progression Free Survival ◽  
Apc Gene ◽  
Chinese Han Population ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Han Population ◽  
Significant Difference ◽  
And Gender

Abstract Objective: To study the correlation between adenomatous polyposis coli (APC) gene 3′ untranslated region (UTR) single nucleotide polymorphisms (SNPs) and their interactions with environmental factors and the risk of colorectal cancer (CRC) in a Chinese Han population. Methods: Genotypes of APC gene 3′UTR rs1804197, rs41116, rs448475, and rs397768 loci in 340 Chinese Han patients with CRC and 340 healthy controls were analyzed. All patients with CRC were analyzed for progression-free survival (PFS) during a 3-year follow-up. Results: The risk of CRC in subjects carrying the APC gene rs1804197 A allele was 2.95-times higher than for the C allele carriers. The interactions of the rs1804197 SNP with body mass index (BMI) and smoking were associated with the risk of CRC. The risk of CRC in the APC gene rs397768 G allele carriers was 1.68-times higher than in the A allele carriers. The interaction between the rs397768 locus SNP and gender was also associated with the risk of CRC. The 3-year PFS of patients with APC gene rs1804197 AA genotype, CA genotype, and CC genotype CRC decreased in this order, with significant difference. In addition, the 3-year PFS of rs397768 locus GG genotype, AG genotype, and AA genotype CRC patients decreased in this order, and the difference was significant. Conclusion: The rs1804197 locus in the 3′UTR region of the APC gene and its interactions with BMI and smoking are associated with the risk of CRC in a Chinese Han population. In addition, the interaction between rs397768 locus SNP and gender is related to the risk of CRC.

scholarly journals Effects of the ANXA6 polymorphisms on glioma risk and patients prognosis

2019 ◽  
Author(s):  
Tuo Wang ◽  
Yao Sun ◽  
Zichao Xiong ◽  
Jiamin Wu ◽  
Xiaoying Ding ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Rank Test ◽  
Low Grade ◽  
Nucleotide Polymorphisms ◽  
Glioma Patient ◽  
Chinese Han ◽  
Cox Regression Analysis ◽  
Increased Risk ◽  
Glioma Risk

Abstract BACKGROUND Glioma is the most frequent malignant primary brain tumor, and the outcomes for patients with glioma remain poor. The purpose of this study is to explore the association between ANXA6 polymorphisms and glioma risk as well as the prognosis of glioma patients in the Chinese Han population.METHODS We selected nine single-nucleotide polymorphisms (SNPs) in ANXA6 which were genotyped by Agena MassARRAY from 593 glioma patients and 589 healthy controls. The odds ratio (OR) and 95% confidence interval (CI) were calculated by logistic regression analysis to evaluate the association SNPs with glioma risk. The association between polymorphisms and survival of glioma patient were evaluated using the log-rank test, Kaplan-Meier and Cox regression analysis. RESULTS: Overall analysis found that rs3762993 was significantly associated with an increased glioma risk. Stratification analysis found that rs11960458 was strongly associated with an increased risk of glioma in age >41; rs3762993 was also found to be associated an increased with glioma risk in age >41, ≤41, male and low-grade glioma; but rs4958892 was associated with a decreased risk of glioma in age>41 and male. Interestingly, rs11960458 and rs888988 were correlated with poor prognosis of glioma patient. Furthermore, age, extent of resection and chemotherapy were found to be key prognostic factors in survival of glioma patients.CONCLUSIONS In conclusion, our results indicated that ANXA6 polymorphisms were associated with glioma susceptibility and prognosis. Further studies are required to confirm the results and elucidate the mechanisms of the ANXA6 polymorphisms affect the glioma risk and prognosis.

scholarly journals Role of PVT1 Polymorphisms in the Glioma Susceptibility and Prognosis

2020 ◽  
Author(s):  
Xiaoying Ding ◽  
Yaqin Zhao ◽  
Haozheng Yuan ◽  
Yong Zhang ◽  
Ya Gao
Keyword(s):  
Cox Regression ◽  
Tumor Grade ◽  
Extent Of Resection ◽  
Recessive Model ◽  
Rank Test ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Kaplan Meier ◽  
Glioma Risk

Abstract Background: Genetic factors play a crucial role in the glioma risk and prognosis of glioma patients. To explore the role of PVT1 polymorphism in the susceptibility and survival of glioma in the Chinese Han population, we conducted a case-control study.Methods: The three single-nucleotide polymorphisms (SNPs) in PVT1 were genotyped using Agena MassARRAY from 575 patients with glioma and 500 healthy controls. We used the χ 2 test to analyze the differences in distribution of allele and genotype between the cases and controls. Odds ratio (OR) and 95% confidence interval (95% CI) were calculated by logistic regression analysis to evaluate the association SNPs with glioma risk. The effects of polymorphisms and clinical features on survival of glioma patients were evaluated using the log-rank test, Kaplan-Meier and Cox regression analysis.Results: We found that rs13255292 was associated with a decreased risk of glioma in the recessive model in overall or male; and rs4410871 was significantly associated with an increased the risk of glioma in age≤40 years old or female. Moreover, the extent of resection and chemotherapy were found to be key prognostic factors in survival of glioma patients. However, the gender, age, tumor grade, radiotherapy and PVT1 polymorphisms have no effect on prognosis of glioma patients.Conclusions: Our results indicated that PVT1 polymorphisms (rs13255292 and rs4410871) were associated with glioma susceptibility, but have no effect on prognosis of glioma patients. Further studies with large samples are required to confirm the results.

scholarly journals Height in Adolescence as a Risk Factor for Glioma Subtypes: a Nationwide Retrospective Cohort Study of 2.2 Million Subjects

2021 ◽  
Author(s):  
Roi Tschernichovsky ◽  
Lior H Katz ◽  
Estela Derazne ◽  
Matan Ben-Zion Berliner ◽  
Maya Simchoni ◽  
...  
Keyword(s):  
Risk Factor ◽  
Statistical Significance ◽  
Positive Association ◽  
High Grade Glioma ◽  
Low Grade ◽  
Cox Proportional Hazard ◽  
Cox Proportional Hazard Models ◽  
Glioma Risk ◽  
Incident Cases

Abstract Background Gliomas manifest in a variety of histological phenotypes with varying aggressiveness. The etiology of glioma remains largely unknown. Taller stature in adulthood has been linked with glioma risk. The aim of this study was to discern whether this association can be detected in adolescence. Methods The cohort included 2,223,168 adolescents between the ages of 16-19. Anthropometric measurements were collected at baseline. Incident cases of glioma were extracted from the Israel National Cancer Registry over a follow-up period spanning 47,635,745 person-years. Cox proportional hazard models were used to estimate the hazard ratio for glioma and glioma subtypes according to height, body mass index (BMI) and sex. Results 1,195 patients were diagnosed with glioma during the study period. Mean(SD) age at diagnosis was 38.1 (11.7) years. Taller adolescent height (per 10cm increase) was positively associated with the risk for glioma of any type (HR 1.15; p=0.002). The association was retained in subgroup analyses for low-grade glioma (HR 1.17; p=0.031), high-grade glioma (HR 1.15; p=0.025), oligodendroglioma (HR 1.31; p=0.015), astrocytoma (HR 1.12; p=0.049), and a category of presumed IDH-mutated glioma (HR 1.17; p=0.013). There was a trend towards a positive association between height and glioblastoma, however this had borderline statistical significance (HR: 1.15; p=0.07). After stratification of the cohort by sex, height remained a risk factor for men, but not for women. Conclusions The previously - established association between taller stature in adulthood and glioma risk can be traced back to adolescence. The magnitude of association differs by glioma subtype.

scholarly journals NCOG-38. CLINICAL CHARACTERISTICS OF LOW GRADE GLIOMA PATIENTS WITH NON-CANONICAL IDH1 AND IDH2 MUTATIONS

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii137-ii137
Author(s):  
Katherine Peters ◽  
Eric Lipp ◽  
Gloria Broadwater ◽  
James Herndon ◽  
Margaret Johnson ◽  
...  
Keyword(s):  
Clinical Characteristics ◽  
Point Mutations ◽  
Progression Free Survival ◽  
Idh1 Mutation ◽  
Low Grade ◽  
Isocitrate Dehydrogenase 1 ◽  
Who Grade ◽  
Targeted Mutation ◽  
Kaplan Meier ◽  
Idh1 And Idh2 Mutations

Abstract BACKGROUND Low grade gliomas (LGGs) develop in young adults and represent 10-15% of all glial tumors. While LGG patients can have longer survival than higher grade tumors, progression, transformation, and ultimately mortality occurs. Mutations in Isocitrate dehydrogenase 1/2 (IDH1/IDH2) are prevalent in LGG and are responsible for gliomagenesis. The classic IDH1 mutation is located at 132 codon and represented as p.Arg132His, but there are non-canonical IDH1 and IDH2 mutations. We sought to compare clinical characteristics of LGG patients with classic IDH1 p.Arg132His mutation to LGG patients with non-canonical IDH1 and IDH2 mutations. METHODS We queried an IRB-approved registry retrospectively from 12/2004- 9/2019. We included IDH1/IDH2 mutant LGG (WHO grade II) and known IDH1 and IDH2 targeted mutation analysis using standard PCR followed by DNA sequencing to detect point mutations in IDH1/IDH2 genes. We obtained available clinical and histopathological data. We estimated progression-free survival (PFS), time to transformation (TT), and overall survival (OS) using Kaplan-Meier methods. RESULTS We identified 267 LGG patients with median follow-up of 9.1 yrs (95%CI 8.4-9.9 yrs). Classic IDH1 p.Arg132His mutation occurred in 223 (83.9%) patients. IDH2 mutations occurred in 14 (5.2%) patients. Non-canonical IDH1 mutations were in 30 (11.2%) patients and included the following mutations: p.Arg132Cys (13), p.Arg132Gly (10), p.Arg132Ser (4), p.Arg132Leu (1), p.Arg119Gln (1), and p.Arg172Met (1). Initial presentation, OS, and TT did not differ between IDH1/IDH2 groups. PFS differed significantly between groups with improved median PFS in IDH2 mutant LGG (5.4 yrs; 95%CI 3.5-25.2) versus classic IDH1 mutant LGG (4.1 yrs; 95%CI 3.7-4.9 yrs) and non-canonical IDH1 mutant LGG (2.6 yrs; 95%CI 2.1-4.8) (log-rank p=0.019). Notably, non-canonical mutations were more common in astrocytoma (22/30; 73.3%) than other LGG histologies (p=0.018). CONCLUSIONS In this cohort, LGG patients with non-canonical mutations have a shorter time to progression than patients with classic p.Arg132His mutation and IDH2 mutations.

scholarly journals IMG-14. DEVELOPING A PREDICTIVE GRADING MODEL FOR CHILDREN WITH GLIOMAS BASED ON DIFFUSION KURTOSIS IMAGING METRICS: ACCURACY AND CLINICAL CORRELATIONS WITH SURVIVAL

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii357-iii358
Author(s):  
Ioan Paul Voicu ◽  
Antonio Napolitano ◽  
Alessia Carboni ◽  
Lorenzo Lattavo ◽  
Andrea Carai ◽  
...  
Keyword(s):  
Progression Free Survival ◽  
High Grade Glioma ◽  
Diffusion Kurtosis Imaging ◽  
Low Grade ◽  
Free Survival ◽  
Kaplan Meier ◽  
Model Predictions ◽  
Probability Prediction ◽  
Grading Model ◽  
Diffusion Kurtosis

Abstract PURPOSE To develop a predictive grading model based on diffusion kurtosis imaging (DKI) metrics in children affected by gliomas, and to investigate the clinical impact of the model via correlations with overall survival and progression-free survival. MATERIALS AND METHODS We retrospectively studied 59 children (33M, 26F, median age 7.2 years) affected by gliomas on a 3T magnet. Patients with tumor locations other than infratentorial midline were included. Conventional and DKI sequences were obtained. Mean kurtosis (MK), axial kurtosis (AK), radial kurtosis (RK), fractional anisotropy (FA) and apparent diffusion coefficient (ADC) maps were obtained. Whole tumor volumes (VOIs) were segmented semiautomatically. Mean DKI values were calculated for each metric. The quantitative values from DKI-derived metrics were used to develop a predictive grading model with penalized logistic regression (glmnet package, R). Elasticnet regularization was used to avoid model overfitting. Fitted model coefficients from each metric were used to develop a probability prediction of a high-grade glioma (HGG). Grading accuracy of the resulting probabilities was tested with ROC analysis. Finally, model predictions were correlated to progression-free survival (PFS) with a Kaplan-Meier analysis. RESULTS The cohort included 46 patients with low-grade gliomas (LGG) and 13 patients with HGG. The developed model predictions yielded an AUC of 0.946 (95%CI: 0.890–1). Model predictions were significantly correlated with PFS (23.1 months for HGG vs 34.7 months for LGG, p&lt;0.004). CONCLUSION In our cohort, a DKI-based predictive model was highly accurate for pediatric glioma grading. DKI-based model predictions were significantly correlated with progression-free survival.

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