scholarly journals Antibiotic Allergy and Blood Eosinophils Percent Could Be Prognostic Indicators of Glioma

2021 ◽  
Author(s):  
Liming Cao ◽  
Zhanghua Lv ◽  
Weiliang Wang ◽  
Xue Li ◽  
Jing Shi ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Tumor Grade ◽  
Blood Eosinophil ◽  
Low Grade ◽  
High Grade ◽  
Cox Regression Analysis ◽  
Low Grade Gliomas ◽  
Antibiotic Allergy ◽  
High Grade Gliomas

Abstract Background: Antibiotic allergy and blood eosinophil percentage (EOS%) may play an important role in the prognosis of gliomas, but few studies reported the relationship between antibiotic allergy and glioma as well as EOS% and glioma. The aim of our study was to estimate the relationships between antibiotic allergy, blood eosinophil percentage (EOS%) and glioma prognosis and to conduct a nomogram model for glioma patients. Estimating the effect of antibiotic allergy and EOS% on glioma prognosis may conduce to finding low-cost and safe prognostic indicators of glioma.Methods: We conducted a retrospective cohort study with 656 glioma patients to estimate the associations between antibiotic allergy, EOS% and glioma prognosis by Kaplan-Meier and Cox regression analysis. Stratified analyses were performed according to tumor grade. We constructed a nomogram with age at diagnosis, gender, tumor grade, antibiotic allergy, EOS% to predict the survival probabilities of glioma. Results: During 12 months follow-up, a total of 227 patients were alive and 318 patients died. Antibiotic allergy and EOS% >1.65 conferred a survival advantage on glioma patients. In the stratified analysis by tumor grade, antibiotic allergy was significantly associated with the prognosis of the prognosis of low-grade gliomas (HR = 0.36, 95%CI: 0.13-0.97) and high-grade gliomas (HR = 0.58, 95%CI: 0.36-0.93) in the univariate Cox regression analysis. However, after adjusting for confounding factors in the multivariate Cox regression analysis, antibiotic allergy was only significantly associated with high-grade gliomas (HRadj = 0.50, 95%CI: 0.30-0.82); the relationship between EOS% and glioma prognosis was restricted to low-grade gliomas (HRadj = 0.50, 95%CI: 0.30-0.82). The C-index of nomogram was 0.74.Conclusions: Antibiotic allergy was a protective prognosis factor of high-grade gliomas, EOS% >1.65 was a protective prognosis factor of low-grade gliomas. The nomogram with antibiotic allergy and EOS% could effectively predict the survival probability of glioma.

scholarly journals BIOM-63. DIAGNOSIS AND PROGNOSTIC SIGNIFICANCE OF CIRCULATING miR-2276-5p IN PLASMA OF GLIOMA PATIENTS

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii15-ii15
Author(s):  
Shiguang Zhao
Keyword(s):  
Regression Analysis ◽  
Roc Curve ◽  
Cox Regression ◽  
Low Grade ◽  
High Grade ◽  
Circulating Mirnas ◽  
Cox Regression Analysis ◽  
Relative Expression ◽  
Low Grade Gliomas ◽  
Lower Expression

Abstract Circulating microRNAs (miRNAs) in plasma have the potential to become diagnostic and prognostic biomarkers for various cancers. This study hopes to use plasma circulating miRNAs as biomarkers for diagnosis and prognosis of glioma patients. METHOD: In this study, the plasma circulating miRNAs of 124 patients with glioma and 36 controls was collected to detect the relative expression of miR-2276-5p, and the specificity and sensitivity of the diagnosis were verified by ROC curve. The follow-up survival status was analyzed by cox regression analysis. RESULT: In the GSE 139031 database, it was found that the expression of circulating miR-2276-5p in plasma of glioma patients was significantly lower than that of patients with non-gliomas. Using our plasma samples, and it is indicated that the expression of circulating miR-2276-5p in plasma is lower than that of healthy patients, and compared with low-grade gliomas, patients with high-grade gliomas have a lower expression of circulating miR-2276-5p. ROC curve analysis found that the AUC value was 0.851. The low expression of circulating miR-2276-5p in plasma of glioma patients indicates a poor prognosis of glioma patients, After univariate and multifactorial cox regression analysis, which can be used as an independent prognostic risk factor for glioma patients (P< 0.05). CONCLUSION: The expression of circulating miR-2276-5p in plasma of glioma patients was significantly lower than that of the control group, compared with low-grade gliomas, patients with high-grade gliomas have a lower expression of circulating miR-2276-5p. The lower the relative expression of circulating miR-2276-5p indicated that glioma patients had a worse prognosis.

Tumor Grade Is Associated With Venous Thromboembolism in Patients With Cancer: Results From the Vienna Cancer and Thrombosis Study

2012 ◽  
Vol 30 (31) ◽  
pp. 3870-3875 ◽  
Author(s):  
Jonas Ahlbrecht ◽  
Boris Dickmann ◽  
Cihan Ay ◽  
Daniela Dunkler ◽  
Johannes Thaler ◽  
...  
Keyword(s):  
Venous Thromboembolism ◽  
Cox Regression ◽  
Tumor Grade ◽  
Individual Risk ◽  
Rank Test ◽  
Cumulative Probability ◽  
Low Grade ◽  
High Grade ◽  
Cox Regression Analysis ◽  
Patients With Cancer

Purpose Patients with cancer are at risk of venous thromboembolism (VTE). Tumor-related factors could help estimate patients' individual risk for VTE. Currently, only scarce information on the association between tumor grade and VTE is available. We thus evaluated the role of tumor grade and its association with VTE. Patients and Methods The Vienna Cancer and Thrombosis Study is a prospective, observational cohort study including patients with newly diagnosed cancer or progression of disease after remission. Study end point is the occurrence of symptomatic VTE. Results Seven hundred forty-seven patients with solid tumors received follow-up for a median of 526 days. VTE occurred in 52 patients (7.0%). At study inclusion, 468 patients had low-grade tumors (G1 and G2) and 279 had high-grade tumors (G3 and G4). In multivariable Cox regression analysis including tumor grade, tumor histology, tumor sites, stage, sex, and age, patients with high-grade tumors had a significantly higher risk of VTE compared with those with low-grade tumors (hazard ratio, 2.0; 95% CI, 1.1 to 3.5; P = .015). The cumulative probability of developing VTE after 6 months was higher in patients with high-grade tumors than in those with low-grade tumors (8.2% v 4.0%; log-rank test P = .037). Patients with high-grade tumors had higher D-dimer levels (P = .008) and leukocyte counts (P < .001), and lower hemoglobin levels (P = .008). Conclusion The tumor grade may help identify patients with cancer who are at high risk of VTE. The association of tumor grade with recently identified biomarkers indicates a link between tumor differentiation and pathogenesis of cancer-associated VTE.

scholarly journals The Role of Extent of Resection in IDH1 Wild-Type or Mutant Low-Grade Gliomas

Neurosurgery ◽  
2017 ◽  
Vol 82 (6) ◽  
pp. 808-814 ◽  
Author(s):  
Toral Patel ◽  
Evan D Bander ◽  
Rachael A Venn ◽  
Tiffany Powell ◽  
Gustav Young-Min Cederquist ◽  
...  
Keyword(s):  
Cox Regression ◽  
Extent Of Resection ◽  
World Health ◽  
Low Grade ◽  
Wild Type ◽  
Who Grade ◽  
Cox Regression Analysis ◽  
Low Grade Gliomas ◽  
Grade Ii ◽  
The Impact

Abstract BACKGROUND Maximizing extent of resection (EOR) improves outcomes in adults with World Health Organization (WHO) grade II low-grade gliomas (LGG). However, recent studies demonstrate that LGGs bearing a mutation in the isocitrate dehydrogenase 1 (IDH1) gene are a distinct molecular and clinical entity. It remains unclear whether maximizing EOR confers an equivalent clinical benefit in IDH mutated (mtIDH) and IDH wild-type (wtIDH) LGGs. OBJECTIVE To assess the impact of EOR on malignant progression-free survival (MPFS) and overall survival (OS) in mtIDH and wtIDH LGGs. METHODS We performed a retrospective review of 74 patients with WHO grade II gliomas and known IDH mutational status undergoing resection at a single institution. EOR was assessed with quantitative 3-dimensional volumetric analysis. The effect of predictor variables on MPFS and OS was analyzed with Cox regression models and the Kaplan–Meier method. RESULTS Fifty-two (70%) mtIDH patients and 22 (30%) wtIDH patients were included. Median preoperative tumor volume was 37.4 cm3; median EOR of 57.6% was achieved. Univariate Cox regression analysis confirmed EOR as a prognostic factor for the entire cohort. However, stratifying by IDH status demonstrates that greater EOR independently prolonged MPFS and OS for wtIDH patients (hazard ratio [HR] = 0.002 [95% confidence interval {CI} 0.000-0.074] and HR = 0.001 [95% CI 0.00-0.108], respectively), but not for mtIDH patients (HR = 0.84 [95% CI 0.17-4.13] and HR = 2.99 [95% CI 0.15-61.66], respectively). CONCLUSION Increasing EOR confers oncologic and survival benefits in IDH1 wtLGGs, but the impact on IDH1 mtLGGs requires further study.

scholarly journals Comparison of Intravoxel Incoherent Motion Diffusion-Weighted MR Imaging and Arterial Spin Labeling MR Imaging in Gliomas

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Yuankai Lin ◽  
Jianrui Li ◽  
Zhiqiang Zhang ◽  
Qiang Xu ◽  
Zhenyu Zhou ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
White Matter ◽  
Mr Imaging ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Intravoxel Incoherent Motion ◽  
Low Grade ◽  
High Grade ◽  
Low Grade Gliomas ◽  
High Grade Gliomas

Gliomas grading is important for treatment plan; we aimed to investigate the application of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) in gliomas grading, by comparing with the three-dimensional pseudocontinuous arterial spin labeling (3D pCASL). 24 patients (13 high grade gliomas and 11 low grade gliomas) underwent IVIM DWI and 3D pCASL imaging before operation; maps of fast diffusion coefficient (D∗), slow diffusion coefficient (D), fractional perfusion-related volume (f), and apparent diffusion coefficient (ADC) as well as cerebral blood flow (CBF) were calculated and then coregistered to generate the corresponding parameter values. We found CBF andD∗were higher in the high grade gliomas, whereas ADC,D, andfwere lower (allP<0.05). In differentiating the high from low grade gliomas, the maximum areas under the curves (AUC) ofD∗, CBF, and ADC were 0.857, 0.85, and 0.902, respectively. CBF was negatively correlated withfin tumor (r=-0.619,P=0.001). ADC was positively correlated withDin both tumor and white matter (r=0.887,P=0.000andr=0.824,P=0.000, resp.). There was no correlation between CBF andD∗in both tumor and white matter (P>0.05). IVIM DWI showed more efficiency than 3D pCASL but less validity than conventional DWI in differentiating the high from low grade gliomas.

scholarly journals Classification and Treatment of Pediatric Gliomas in the Molecular Era

Children ◽  
2021 ◽  
Vol 8 (9) ◽  
pp. 739
Author(s):  
Peter Hauser
Keyword(s):  
Wide Spectrum ◽  
High Grade Glioma ◽  
Tumor Grade ◽  
Primary Treatment ◽  
Low Grade ◽  
High Grade ◽  
Therapeutic Approaches ◽  
Term Survival ◽  
Low Grade Gliomas ◽  
Leading Role

The overall survival of pediatric gliomas varies over a wide spectrum depending on the tumor grade. Low-grade gliomas have an excellent long-term survival, with a possible burden of surgery, irradiation, and chemotherapy; in contrast, high-grade gliomas generally have a short-term, devastating lethal outcome. Recent advances in understanding their molecular background will transform the classification and therapeutic approaches of pediatric gliomas. Molecularly targeted treatments may acquire a leading role in the primary treatment of low-grade gliomas and may provide alternative therapeutic strategies for high-grade glioma cases in the attempt to avoid the highly unsuccessful conventional therapeutic approaches. This review aims to overview this progress.

scholarly journals Prognostic Factors in Elderly Patients with High-grade Gliomas: A Retrospective Analysis of 24 Cases

2018 ◽  
Vol 09 (03) ◽  
pp. 312-316 ◽  
Author(s):  
Meenu Gupta ◽  
Saurabh Bansal ◽  
Deep Shankar Pruthi ◽  
Manju Saini ◽  
Nadia Shirazi ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Elderly Patients ◽  
Retrospective Analysis ◽  
Cox Regression ◽  
Rank Test ◽  
Karnofsky Performance Scale ◽  
High Grade ◽  
Concomitant Chemotherapy ◽  
Cox Regression Analysis ◽  
High Grade Gliomas

ABSTRACT Background and Objectives: Due to the aging of the population, diagnosis of high-grade gliomas (HGGs) in the elderly is becoming more common. The purpose of this study was to report our experience in 24 elderly patients with HGGs and evaluate the value of different prognostic factors. Design and Setting: Retrospective analysis of 24 elderly patients of ≥60 years with newly diagnosed HGGs, who were treated at our department between January 2009 and December 2012, was done. Patients and Methods: Age, gender, Karnofsky performance scale (KPS) score, extent of surgery, and use of temozolomide were evaluated using univariate and multivariate analyses. Survival was determined using the Kaplan–Meier method, and differences were compared using the log-rank test. Cox regression analysis was conducted to identify the independent prognostic factors. Results: The median overall survival of the patient cohort was 10 months. The 1- and 2-year survival rates were 45.8% and 16.6%, respectively. The analysis revealed that KPS score and use of concomitant chemotherapy were significant prognostic factors. Conclusion: The results of our analyses demonstrate that KPS score and use of concomitant chemotherapy yield encouraging outcomes in elderly patients with HGGs, validating the results published in research papers.

Correlation of dual energy computed tomography electron density measurements with cerebral glioma grade

2021 ◽  
pp. 197140092110474
Author(s):  
Ritwik Chakrabarti ◽  
Vivek Gupta ◽  
Sameer Vyas ◽  
Kirti Gupta ◽  
Vikram Singh
Keyword(s):  
Computed Tomography ◽  
Electron Density ◽  
Dual Energy ◽  
Low Grade ◽  
High Grade ◽  
Cerebral Glioma ◽  
Density Measurements ◽  
Dual Energy Computed Tomography ◽  
Low Grade Gliomas ◽  
High Grade Gliomas

Objective To correlate dual energy computed tomography electron density measurements with histopathological cerebral glioma grading to determine whether it can be used as a non-invasive predictor of cerebral glioma grade. Materials and methods Fifty patients with suspected cerebral gliomas on imaging scheduled to undergo resection were included. We tested our hypothesis that with increasing glioma grade, increased tumor cellularity should translate into increased electron density and if a statistically significant difference between electron density of low-grade gliomas and high-grade gliomas is seen, we may have a clinical use of dual energy computed tomography as a non-invasive tool to predict cerebral glioma grade. A pre-operative dual energy computed tomography scan of the brain was performed, and electron density measurements calculated from the solid part of the tumor. Obtaining a ratio with electron density of contralateral normal brain parenchyma normalized these values. The minimum, maximum and mean electron density and their normalized values recorded between high-grade gliomas and low-grade gliomas were compared for presence of statistical significance. Results A statistically significant difference was found between all six parameters recorded (minimum electron density and normalized values, mean electron density and normalized values, maximum electron density and normalized values) between low-grade gliomas and high-grade gliomas. The predictivity ranged from 75% (for minimum electron density and maximum normalized values) to 81.25% (for mean normalized values). All six parameters were found to have statistically significant positive correlation with Ki-67 index. Conclusion Dual energy computed tomography electron density measurements in cerebral gliomas are predictive of pre-operative differentiation of low-grade gliomas from high-grade gliomas and show a linear, statistically significant positive correlation with Ki-67 index.

scholarly journals Arterial spin labeling in the grading of brain gliomas: could it help?

2020 ◽  
Vol 51 (1) ◽  
Author(s):  
Ahmed A. ElBeheiry ◽  
Doaa M. Emara ◽  
Amany Abdel-Bary Abdel-Latif ◽  
Mohamed Abbas ◽  
Amal S. Ismail
Keyword(s):  
Perfusion Imaging ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
High Morbidity ◽  
Low Grade ◽  
Dynamic Susceptibility ◽  
High Grade ◽  
Low Grade Gliomas ◽  
High Grade Gliomas ◽  
Brain Gliomas

Abstract Background Gliomas are characterized by high morbidity and mortality with low cure and high recurrence rates, which depends to a great degree on the angiogenesis of the tumor. Assessment of such angiogenesis by perfusion techniques is of utmost importance for the preoperative grading of gliomas. The purpose of this study was to assess the role of arterial spin labeling (ASL) perfusion as a non-contrast MRI technique in the grading of brain gliomas, in correlation with the dynamic susceptibility contrast perfusion imaging (DSC-PI). The study was carried out on 35 patients admitted to the Neurosurgery Department with MRI features of gliomas and sent for further perfusion imaging. Non-contrast ASL followed by DSC-PI was done for all cases. The final diagnosis of the cases was established by histopathology. Results Fourteen patients (14/35) had low-grade gliomas while twenty-one (21/35) had high-grade gliomas. In low-grade gliomas, four cases out of 14 were falsely graded as high-grade tumors showing hyperperfusion on ASL, three of which showed DSC-PI hypoperfusion. In high-grade gliomas, two cases out of 21 were interpreted as an indeterminate grade by ASL showing isoperfusion, however showed hyperperfusion on DSC-PI. ROC curve analysis showed ASL-derived rCBF > 2.08 to have 80.95% sensitivity, 85.71% specificity, and overall accuracy of 82.86% compared to 100% sensitivity, specificity, and accuracy of DSC-PI-derived rCBV and rCBF of > 1.1 and > 0.9, respectively. A significant positive correlation was noted between ASL and DSC-PI with correlation coefficient reaching r = 0.80 between ASL-rCBF and DSC-rCBF (p < 0.01) and r = 0.68 between ASL and DSC-rCBV (p < 0.01). Conclusions ASL is a relatively recent non-contrast perfusion technique that obtains results which are in fair agreement with the more established DSC perfusion imaging making it an alternative method for preoperative assessment of perfusion of gliomas, especially for patients with contraindications to contrast agents.

scholarly journals Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma

2021 ◽  
Vol 12 ◽  
Author(s):  
Tao Han ◽  
Zhifan Zuo ◽  
Meilin Qu ◽  
Yinghui Zhou ◽  
Qing Li ◽  
...  
Keyword(s):  
Regression Analysis ◽  
High Risk ◽  
Immune Cell ◽  
Risk Model ◽  
Cox Regression ◽  
Risk Group ◽  
High Risk Group ◽  
Low Grade ◽  
Immune Microenvironment ◽  
Cox Regression Analysis

Background: Although low-grade glioma (LGG) has a good prognosis, it is prone to malignant transformation into high-grade glioma. It has been confirmed that the characteristics of inflammatory factors and immune microenvironment are closely related to the occurrence and development of tumors. It is necessary to clarify the role of inflammatory genes and immune infiltration in LGG.Methods: We downloaded the transcriptome gene expression data and corresponding clinical data of LGG patients from the TCGA and GTEX databases to screen prognosis-related differentially expressed inflammatory genes with the difference analysis and single-factor Cox regression analysis. The prognostic risk model was constructed by LASSO Cox regression analysis, which enables us to compare the overall survival rate of high- and low-risk groups in the model by Kaplan–Meier analysis and subsequently draw the risk curve and survival status diagram. We analyzed the accuracy of the prediction model via ROC curves and performed GSEA enrichment analysis. The ssGSEA algorithm was used to calculate the score of immune cell infiltration and the activity of immune-related pathways. The CellMiner database was used to study drug sensitivity.Results: In this study, 3 genes (CALCRL, MMP14, and SELL) were selected from 9 prognosis-related differential inflammation genes through LASSO Cox regression analysis to construct a prognostic risk model. Further analysis showed that the risk score was negatively correlated with the prognosis, and the ROC curve showed that the accuracy of the model was better. The age, grade, and risk score can be used as independent prognostic factors (p &lt; 0.001). GSEA analysis confirmed that 6 immune-related pathways were enriched in the high-risk group. We found that the degree of infiltration of 12 immune cell subpopulations and the scores of 13 immune functions and pathways in the high-risk group were significantly increased by applying the ssGSEA method (p &lt; 0.05). Finally, we explored the relationship between the genes in the model and the susceptibility of drugs.Conclusion: This study analyzed the correlation between the inflammation-related risk model and the immune microenvironment. It is expected to provide a reference for the screening of LGG prognostic markers and the evaluation of immune response.

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