scholarly journals Multiparametric and multiregional diffusion features help predict molecule information, grade and survival in lower-grade gliomas: a feasibility study

2019 ◽  
Vol 92 (1103) ◽  
pp. 20190324
Author(s):  
Hai Lin ◽  
Yanwen Xu ◽  
Lei Chen ◽  
Peng Na ◽  
Weiping Li
Keyword(s):  
Support Vector Machine ◽  
Cox Regression ◽  
Diffusion Tensor ◽  
Histological Grade ◽  
Area Under The Curve ◽  
Support Vector ◽  
Lower Grade ◽  
Ki 67 ◽  
Who Grade ◽  
Grade Ii

Objective: This study was to investigate the relationship of diffusion features with molecule information, and then predict grade and survival in lower-grade gliomas. Methods: 65 patients with primary lower-grade gliomas (WHO Grade II & III) who underwent conventional MRI and diffusion tensor imaging were retrospectively studied. The tumor region was automatically segmented into contrast-enhancing tumor, non-enhancing tumor, edematous and necrotic volumes. Diffusion features, including fractional anisotropy (FA), axial diffusivity, radial diffusivity and apparent diffusion coefficient (ADC), were extracted from each volume using histogram analysis. To estimate molecule biomarkers and predict clinical characteristics of grade and survival, support vector machine, generalized linear model, logistic regression and Cox regression were performed on the related features. Results: The diffusion features in non-enhancing tumor volume showed differences between isocitrate dehydrogenase mutant and wild-type gliomas. And the mean accuracy of support vector machine classifiers was 0.79. Ki-67 labeling index was correlated with these features, which were combined to significantly estimate Ki-67 expression level (r = 0.657, p < 0.001). These features also showed differences between Grade II and III gliomas. A combination of them for grade classification resulted in an area under the curve of 0.914 (0.857–0.971). Mean FA and fifth percentile of ADC were independently associated with overall survival, with lower FA and higher ADC showing better survival outcome. Conclusion: In lower-grade gliomas, multiparametric and multiregional diffusion features could help predict molecule information, histological grade and survival. Advances in knowledge: The multi parametric diffusion features in non-enhancing tumor were associated with molecule information, grade and survival in lower-grade gliomas.

scholarly journals A comprehensive model including preoperative peripheral blood inflammatory markers for prediction of the prognosis of diffuse spinal cord astrocytoma following surgery

2021 ◽  
Author(s):  
Bo Pang ◽  
Rui-Chao Chai ◽  
Yao-Wu Zhang ◽  
Yu-Zhou Chang ◽  
Wei-Hao Liu ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Peripheral Blood ◽  
Inflammatory Markers ◽  
Prognostic Model ◽  
Cox Regression ◽  
Histological Grade ◽  
Ki 67 ◽  
Who Grade ◽  
Grade Ii ◽  
Spinal Cord Astrocytoma

Abstract Purpose Due to the rarity of diffuse spinal cord astrocytoma, an effective model is still lacking to stratify their prognosis. Here, we aimed to establish a prognostic model through comprehensively evaluating clinicopathological features and preoperative peripheral blood inflammatory markers in 89 cases. Methods We performed univariate and multivariate Cox regression to identify prognosis factors. The Kaplan–Meier curves and ROC curves were employed to compare the prognostic value of selected factors. Results In addition to clinicopathological factors, we revealed the preoperative peripheral blood leukocyte count, neutrophils-to-lymphocytes ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were also significantly correlated with overall survival of spinal cord astrocytoma in univariate Cox regression, and NLR was still significant in multivariate Cox analysis. Further, we demonstrated that NLR ≤ 3.65 and preoperative McCormick score (MMS) ≤ 3 were independently correlated with better survival of WHO grade IV tumors. Meanwhile, Ki-67 < 10% and resection extent ≥ 90% were independent prognostic factors in WHO grade II/III tumors. Finally, we developed a prognostic model that had better predictive efficiencies than WHO grade and histological grade for 1-year (AUC = 76.6), 2- year (AUC = 80.9), and 3-year (AUC = 80.3) survival. This model could classify tumors into 4 classifications with increasingly poor prognosis: 1, WHO grade II/III, with Ki-67 < 10% and resection extent ≥ 90%; 2, WHO grade II/III, Ki-67 ≥ 10% or resection < 90%; 3, WHO grade IV, NLR ≤ 3.65 and MMS ≤ 3; 4, WHO grade IV, with NRL > 3.65 or MMS = 4. Conclusion We successfully constructed a comprehensive prognostic model including preoperative peripheral blood inflammatory markers, which can stratify diffuse spinal cord astrocytoma into 4 subgroups.

scholarly journals IDH-wildtype lower grade diffuse gliomas: the importance of histological grade and molecular assessment for prognostic stratification

2020 ◽  
Author(s):  
Giulia Berzero ◽  
Anna Luisa Di Stefano ◽  
Susanna Ronchi ◽  
Franck Bielle ◽  
Chiara Villa ◽  
...  
Keyword(s):  
Histological Grade ◽  
Lower Grade ◽  
Who Grade ◽  
Tert Promoter ◽  
Tert Promoter Mutations ◽  
Prognostic Stratification ◽  
Grade Ii ◽  
Definition Of ◽  
Promoter Mutations ◽  
Grade Iii

Abstract Background IDH-wildtype (IDHwt) grade II gliomas are a rare and heterogeneous entity. Survival and prognostic factors are poorly defined. Methods We searched retrospectively all patients diagnosed with diffuse WHO grade II and III gliomas at our center (1989-2020). Results Out of 517 grade II gliomas, 47 were “diffuse astrocytomas, IDHwt”. Tumors frequently had fronto-temporo-insular location (28/47, 60%) and infiltrative behavior. We found TERT promoter mutations (23/45, 51%), whole chromosome 7 gains (10/37, 27%), whole chromosome 10 losses (10/41, 24%), and EGFR amplifications (4/43, 9%) but no TP53 mutations (0/22, 0%). Median overall survival (OS) was 59 months (vs. 19 months for IDHwt grade III gliomas (p&lt; 0.0001). Twenty-nine patients (29/43, 67%) met the definition of molecular glioblastoma according to cIMPACT-NOW update3. Median OS in this subset was 42 months, which was shorter compared to patients with IDHwt grade II gliomas not meeting this definition (median OS: 57 months), but substantially longer compared to IDHwt grade III gliomas meeting the definition for molecular glioblastoma (median OS: 17 months, p&lt;0.0001). Most patients with IDHwt grade II gliomas met cIMPACT criteria because of isolated TERT promoter mutations (16/26, 62%), which were not predictive of poor outcome (median OS: 88 months). Actionable targets, including 5 gene fusions involving FGFR3, were found in 7 patients (24%). Conclusions Our findings highlight the importance of histological grading and molecular profiling for the prognostic stratification of IDHwt gliomas and suggest some caution when assimilating IDHwt grade II gliomas to molecular glioblastomas, especially those with isolated TERT promoter mutation.

scholarly journals A prognostic signature for lower-grade gliomas based on expression of long noncoding RNAs

2018 ◽  
Author(s):  
Manjari Kiran ◽  
Ajay Chatrath ◽  
Xiwei Tang ◽  
Daniel Macrae Keenan ◽  
Anindya Dutta
Keyword(s):  
Epithelial To Mesenchymal Transition ◽  
Cox Regression ◽  
Association Studies ◽  
Primary Brain Tumor ◽  
Low Grade ◽  
Lower Grade ◽  
Who Grade ◽  
Mesenchymal Transition ◽  
Diagnosis And Prognosis ◽  
Grade Ii

AbstractDiffuse low-grade and intermediate-grade gliomas (together known as lower-grade gliomas, WHO grade II and III) develop in the supporting glial cells of brain and are the most common types of primary brain tumor. Despite a better prognosis for lower-grade gliomas, 70% of patients undergo high-grade transformation within 10 years, stressing the importance of better prognosis. Long non-coding RNAs (lncRNAs) are gaining attention as potential biomarkers for cancer diagnosis and prognosis. We have developed a computational model, UVA8, for prognosis of lower-grade gliomas by combining lncRNA expression, Cox regression and L1-LASSO penalization. The model was trained on a subset of patients in TCGA. Patients in TCGA, as well as a completely independent validation set (CGGA) could be dichotomized based on their risk score, a linear combination of the level of each prognostic lncRNA weighted by its multivariable cox regression coefficient. UVA8 is an independent predictor of survival and outperforms standard epidemiological approaches and previous published lncRNA-based predictors as a survival model. Guilt-by-association studies of the lncRNAs in UVA8, all of which predict good outcome, suggest they have a role in suppressing interferon stimulated response and epithelial to mesenchymal transition. The expression levels of 8 lncRNAs can be combined to produce a prognostic tool applicable to diverse populations of glioma patients. The 8 lncRNA (UVA8) based score can identify grade II and grade III glioma patients with poor outcome and thus identify patients who should receive more aggressive therapy at the outset.

scholarly journals PATH-37. PROGNOSTIC ROLE OF TERT PROMOTER MUTATIONS IMPROVES THE STRATIFICATION OF IDH-MUTATED LOWER GRADE GLIOMA

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi151-vi151
Author(s):  
Hideyuki Arita ◽  
Yuko Matsushita ◽  
Makoto Ohno ◽  
Yohei Miyake ◽  
Kuniaki Saito ◽  
...  
Keyword(s):  
Overall Survival ◽  
Cox Regression ◽  
Molecular Diagnostic ◽  
Lower Grade ◽  
Tert Promoter Mutation ◽  
Promoter Mutation ◽  
Who Grade ◽  
Cox Regression Analysis ◽  
Tert Promoter ◽  
Grade Ii

Abstract TERT promoter mutation is associated with 1p/19q codeletion and favorable prognosis in IDH-mutated gliomas. Prognostic and diagnostic significance of TERT promoter mutation is well-recognized in IDH-wildtype glioblastomas, but not in IDH-mutated gliomas. We investigated prognostic efficacy of TERT mutation in a cohort of 560 Japanese IDH-mutated adult gliomas. The molecular status of IDH, TERT and 1p/19q and patient clinical data including Karnofsky performance status (KPS) were collected in all cases. TERT mutations and 1p/19q codeletions were found in 303 and 285 cases, respectively. The patient cohort was divided into four groups by a combination of the 1p/19q and TERT status. The characteristics of 1p/19q intact-TERT mutated group (Astro-TERT group, n=24) were compared with those of 1p/19q intact-TERT wild (Astro-group, n=251) or 1p/19q codeleted-TERT mutated (Oligo-group, n=279) cases. Astro-TERT group with any grade showed intermediate overall survival between the Oligo-group and Astro-group although the survival differences were not statistically significant (median overall survival (OS) not reached (NR) versus NR, and 106 months, respectively. p >0.05). We further conducted subgroup analysis by adjusting KPS and WHO grade as Cox regression analysis for survival indicated the unfavorable survival impact of KPS < 90 and WHO grade IV. In the subgroup with favorable KPS (90–100) and grade II-III (n=438), The OS of Astro-TERT group (median NR) was significantly longer survival than that of Astro-group (median 120.2 months, p=0.032), and was comparable with that of the Oligo-group (median NR, p >0.05). On the other hand, OS of none of the molecular groups significantly differ in poorer KPS subgroups (p >0.05). In grade IV tumors, the OS of the Astro-TERT group (NR) was comparable with that of Astro-group (29 months, p=0.19) rather than Oligo-group (NR, p=0.051). Thus, TERT promoter status provides a valuable prognostic information for IDH-mutated grade II-III gliomas in the current molecular diagnostic system.

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 The Expression of Progesterone Receptors in Meningiomas of Different Grades

2019 ◽  
Vol 8 (2) ◽  
pp. 65-69
Author(s):  
Mohammad Tahir ◽  
Tehreem Atif ◽  
Summaya Sohail ◽  
Arfa Nawazish ◽  
Huma Mushtaq
Keyword(s):  
Progesterone Receptor ◽  
Treatment Options ◽  
Progesterone Receptors ◽  
Lower Grade ◽  
Immunoperoxidase Method ◽  
Nuclear Staining ◽  
Who Grade ◽  
Grade Ii ◽  
Who Grade Iii ◽  
Grade Iii

Background: Meningiomas are slow growing intracranial and intraspinal neoplasms with a tendency to recur locally. WHO grades them as I (benign), II (atypical) and III (anaplastic) in order of their increasing aggressiveness, based on histological parameters and brain parenchymal invasion. Progesterone receptors (PR) are more prevalent amongst the lower grade meningiomas. The objective of this study was to determine the immunohistochemical expression of progesterone receptors in meningiomas of different grades.Material and Methods: A total of 100 cases were selected over a period of 2.5 years. Three to five microns’ thick sections stained with Hematoxylin and Eosin were examined microscopically by a team of two Histopathologists and graded into grades I, II and III, according to 2016 WHO classification criteria. Another section of the original tumor was stained with progesterone receptor antibody using the conventional immunoperoxidase method. Stained slides were than examined by the same team of Histopathologists and declared positive (if nuclear staining was observed in more than 10% of tumor cells) or negative. Statistical analysis was done using SPSS version 21.Results: Out of a total of 100 cases of meningioma, there were 79 cases of benign/typical WHO grade I, 15 cases of atypical/ WHO grade II and 6 cases of anaplastic/ WHO grade III tumor. PR status was positive in 89.8 % (71/79) of grade I meningiomas and 46.6 % (7/15) of grade II/Atypical meningiomas. The 06 cases of Anaplastic/WHO grade III tumors were negative for PR. There was a higher prevalence of Progesterone receptors in female patients (89.8%; 53/59) as compared to male meningioma patients (60.9%; 25/41).Conclusion: We observed a decreased expression of progesterone receptor in higher grades of meningioma in this study. It is an effort to explore conservative treatment options for inoperable lesions, as anti-progesterone therapy may hold a promise as a new treatment option in the near future.

scholarly journals To Explore the Predictive Power of Visuomotor Network Dysfunctions in Mild Cognitive Impairment and Alzheimer’s Disease

2021 ◽  
Vol 15 ◽  
Author(s):  
Justine Staal ◽  
Francesco Mattace-Raso ◽  
Hennie A. M. Daniels ◽  
Johannes van der Steen ◽  
Johan J. M. Pel
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Support Vector Machine ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Predictive Power ◽  
Area Under The Curve ◽  
Classification Performance ◽  
Support Vector ◽  
Potential Biomarker

BackgroundResearch into Alzheimer’s disease has shifted toward the identification of minimally invasive and less time-consuming modalities to define preclinical stages of Alzheimer’s disease.MethodHere, we propose visuomotor network dysfunctions as a potential biomarker in AD and its prodromal stage, mild cognitive impairment with underlying the Alzheimer’s disease pathology. The functionality of this network was tested in terms of timing, accuracy, and speed with goal-directed eye-hand tasks. The predictive power was determined by comparing the classification performance of a zero-rule algorithm (baseline), a decision tree, a support vector machine, and a neural network using functional parameters to classify controls without cognitive disorders, mild cognitive impaired patients, and Alzheimer’s disease patients.ResultsFair to good classification was achieved between controls and patients, controls and mild cognitive impaired patients, and between controls and Alzheimer’s disease patients with the support vector machine (77–82% accuracy, 57–93% sensitivity, 63–90% specificity, 0.74–0.78 area under the curve). Classification between mild cognitive impaired patients and Alzheimer’s disease patients was poor, as no algorithm outperformed the baseline (63% accuracy, 0% sensitivity, 100% specificity, 0.50 area under the curve).Comparison with Existing Method(s)The classification performance found in the present study is comparable to that of the existing CSF and MRI biomarkers.ConclusionThe data suggest that visuomotor network dysfunctions have potential in biomarker research and the proposed eye-hand tasks could add to existing tests to form a clear definition of the preclinical phenotype of AD.

scholarly journals Prognostic Significance and Gene Co-Expression Network of PLAU and PLAUR in Gliomas

2022 ◽  
Vol 11 ◽  
Author(s):  
Junhong Li ◽  
Huanhuan Fan ◽  
Xingwang Zhou ◽  
Yufan Xiang ◽  
Yanhui Liu
Keyword(s):  
Cox Regression ◽  
Prognostic Significance ◽  
High Expression ◽  
Lower Grade ◽  
Tumor Type ◽  
Who Grade ◽  
Cox Regression Analysis ◽  
Online Databases ◽  
Type Plasminogen Activator ◽  
Primary Glioma

The urokinase-type plasminogen activator(PLAU) and its receptor PLAUR participate in a series of cell physiological activities on the extracellular surface. Abnormal expression of PLAU and PLAUR is associated with tumorigenesis. This study aims to evaluate the prognostic value of PLAU/PLAUR transcription expression in glioma and to explore how they affect the generation and progression of glioma. In this study, online databases are applied, such as Oncomine, GEPIA, CGGA, cBioPortal, and LinkedOmics. Overexpression of PLAU/PLAUR was found to be significantly associated with clinical variables including age, tumor type, WHO grade, histology, IDH-1 mutation, and 1p19q status. PLAU and PLAUR had a high correlation in transcriptional expression levels. High expression of PLAU and PLAUR predicted a poor prognosis in primary glioma and recurrent glioma patients, especially in lower grade gliomas. Cox regression analysis indicated that high expression of PLAU and PLAUR were independent prognostic factors for shorter overall survival in glioma patients. In gene co-expression network analysis PLAU and PLAUR and their co-expression genes were found to be involved in inflammatory activities and tumor-related signaling pathways. In conclusion, PLAU and PLAUR could be promising prognostic biomarkers and potential therapeutic targets of glioma patients.

P14.57 WHO grade II and III meningioma: a large mono-institutional retrospective series

2021 ◽  
Vol 23 (Supplement_2) ◽  
pp. ii48-ii49
Author(s):  
G Simonetti ◽  
P Gaviani ◽  
M Farinotti ◽  
F Legnani ◽  
B Pollo ◽  
...  
Keyword(s):  
Disease Control ◽  
Aggressive Behavior ◽  
Survival Data ◽  
Large Population ◽  
Future Research ◽  
Ki 67 ◽  
Who Grade ◽  
Risk Of Death ◽  
Molecular Features ◽  
Grade Ii

Abstract BACKGROUND Meningiomas are usually considered benign lesions, however a part of them can show very aggressive behavior with tendency to metastasize. This subgroup is known as high-grade meningiomas (HGM). Due to the rarity of the disease, effective medical treatments are lacking, especially at the time of recurrence. We aim to describe the clinical, radiological and molecular features of a large population of HGM diagnosed between 2010 and 2018. The secondary aim was to evaluate survival (PFS) and overall survival (OS). MATERIAL AND METHODS We collected clinical and survival data from primitive WHO grade II and III meningioma patients treated at Fondazione IRCCS Istituto Neurologico Carlo Besta from January 2010 to December 2018. Records were collected on a web-based platform (Microsoft Excel) that was customized for this study. The database, contained epidemiological, diagnostic (radiological and histological/molecular), surgical, therapeutic and recurrence information, as well as survival data. RESULTS 183 patients (105 females and 78 males), with median age of 58 years (25–88), were included; 168 were atypical, 12 anaplastic, 3 rhabdoid. Overall, m-PFS was 4.2 years, and m-OS was 10.3 years. Gross-total resection had a 5-year survival rate of 95% compared with subtotal/partial resection (86% and 67%) (p=0.002). Higher expression of Ki-67/MIB-1 seems associated with higher risk of death (HR:1.06 with 95% CI, 1.00–1.12, p=0.03). No statistically significant differences were seen in survival between the group managed with a wait-and-see strategy vs the group treated with RT/SRS while a difference on PFS was seen (4.1 years vs 5.2 years p=0.03). After second recurrence, the most employed treatments were systemic therapies with a very limited effect on disease control. CONCLUSION Data confirmed the aggressive behavior of HGM. The extent of resection seems to correlate with a favorable outcome regardless histological subtypes. The role of RT/SRS remains controversial, with no statistically significant impact on OS but a possible role on PFS. At relapse, no chemotherapies are able to achieve disease control and recurrent HGM remains the real challenge for future research, focusing on biological/molecular predictors in order to achieve a patient-tailored treatment.This retrospective study allowed to analyzed the largest national recent series of aggressive meningiomas with the purpose of identify relevant outcome measures for future prospective studies. Our findings could be important to give a snapshot of the current attitude to treat aggressive meningiomas but also to inspire national and international collaboration in order to provide evidence-based management strategies trying to obtain a standard of care.

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