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1.
Arkh Patol ; 83(5): 13-20, 2021.
Artigo em Russo | MEDLINE | ID: mdl-34609799

RESUMO

OBJECTIVE: To evaluate the effectiveness of fluorescence navigation with chlorin e6 in surgery for malignant gliomas based on surgical material morphological and immunohistochemical data. MATERIAL AND METHODS: The surgical material obtained from patients with high-grade (Grade III-IV) anaplastic glioma was examined. Along with histological examination, the proliferation marker Ki-67, the cell cycle transcription factor protein p53, and vascular endothelial growth factor (VEGF) were determined. RESULTS: A significant direct correlation was found between the expression of Ki-67, p53, and VEGF and the fluorescence intensity of tumor tissues (p<0.05). CONCLUSION: The technique of fluorescence navigation using chlorin e6 in comparative morphopathological analysis has confirmed its effectiveness in surgery for malignant gliomas.


Assuntos
Neoplasias Encefálicas , Glioma , Neoplasias Encefálicas/genética , Neoplasias Encefálicas/cirurgia , Fluorescência , Glioma/genética , Glioma/cirurgia , Humanos , Antígeno Ki-67/genética , Porfirinas , Proteína Supressora de Tumor p53/genética , Fator A de Crescimento do Endotélio Vascular/genética
2.
Medicina (B Aires) ; 81(5): 791-799, 2021.
Artigo em Espanhol | MEDLINE | ID: mdl-34633954

RESUMO

The BRAFV600E point mutation plays a key role in the tumorigenesis of many gliomas. Inhibiting its product is part of the innovative therapies emerging in recent years. Knowing the role of these treatments is essential. The aim of this experience was to describe the clinical-radiological response of pediatric BRAFV600E mutated gliomas treated with BRAF inhibitors. To this end, a descriptive and retrospective study was performed in patients under 16 years of age with BRAFV600E gliomas, who received vemurafenib or dabrafenib at Hospital Garrahan. Thirteen patients treated in the last 7 years were included: 9 were low-grade and 4 high-grade gliomas. The median age at diagnosis was 8.6 years (0.89-14.04) and at start of targeted therapy was 11.62 years (3.64-15.42). All patients had previously a surgical procedure, and 12/13 had received another therapy prior BRAF inhibition: 11 chemotherapy (in one case, up to 4 different protocols) and 4 radiotherapy. Under targeted therapy, tumour response was obtained in 10 patients (size reduction equal to or greater than 25%), and best response was observed in the first 6 months of treatment in 7 children. Four patients progressed under treatment (all high-grade gliomas) and 2 progressed shortly after stopping the inhibitor (both low-grade gliomas). Five patients had grade 3-4 toxicity, with subsequent full recovery. A good and sustained clinical-radiological response, with acceptable tolerance, is described in patients with BRAFV600E mutated low-grade gliomas treated with BRAFV600E inhibitors. In contrast, the response in patients with high-grade gliomas was intermediate and of short duration, with early tumour progression.


Assuntos
Glioma , Proteínas Proto-Oncogênicas B-raf , Criança , Glioma/tratamento farmacológico , Glioma/genética , Hospitais , Humanos , Mutação , Proteínas Proto-Oncogênicas B-raf/genética , Estudos Retrospectivos
3.
BMC Genomics ; 22(1): 722, 2021 Oct 06.
Artigo em Inglês | MEDLINE | ID: mdl-34615480

RESUMO

BACKGROUND: Glioma is the most common central nervous system tumor with a poor survival rate and prognosis. Previous studies have found that long non-coding RNA (lncRNA) and competitive endogenous RNA (ceRNA) play important roles in regulating various tumor mechanisms. We obtained RNA-Seq data of glioma and normal brain tissue samples from TCGA and GTEx databases and extracted the lncRNA and mRNA expression data. Further, we analyzed these data using weighted gene co-expression network analysis and differential expression analysis, respectively. Differential expression analysis was also carried out on the mRNA data from the GEO database. Further, we predicted the interactions between lncRNA, miRNA, and targeted mRNA. Using the CGGA data to perform univariate and multivariate Cox regression analysis on mRNA. RESULTS: We constructed a Cox proportional hazard regression model containing four mRNAs and performed immune infiltration analysis. Moreover, we also constructed a ceRNA network including 21 lncRNAs, two miRNAs, and four mRNAs, and identified seven lncRNAs related to survival that have not been previously studied in gliomas. Through the gene set enrichment analysis, we found four lncRNAs that may have a significant role in tumors and should be explored further in the context of gliomas. CONCLUSIONS: In short, we identified four lncRNAs with research value for gliomas, constructed a ceRNA network in gliomas, and developed a prognostic prediction model. Our research enhances our understanding of the molecular mechanisms underlying gliomas, providing new insights for developing targeted therapies and efficiently evaluating the prognosis of gliomas.


Assuntos
Glioma , Glioma/genética , Humanos
4.
J Coll Physicians Surg Pak ; 31(9): 1105-1107, 2021 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-34500531

RESUMO

Autoimmune limbic encephalitis is a rare autoimmune disease characterised by inflammation of the limbic system of the brain. The disease runs a sub-acute course with cognitive impairment, memory loss and seizures. These patients have been underdiagnosed in Pakistan. Here, we present a case of a middle-aged male, who presented to our Department after having multiple visits to different psychiatrists for his symptoms. The patient had been put on multiple psychiatric and antiepileptic medications, but his condition gradually declined. At our Department, he was thoroughly assessed and then diagnosed as limbic encephalitis on the basis of the typical history, positive anti-leucine-rich-glioma-inactivated 1 (LGI1) antibodies and MRI findings. The patient responded to plasmapheresis and immune modulating therapy and is being followed up. Emphasis is made on early diagnosis; and earlier treatment of such cases, as it holds a substantial importance in management and makes a difference in future outcome. Key Words: Autoimmune limbic encephalitis, Voltage-gated potassium channels, Cognitive dysfunction.


Assuntos
Glioma , Encefalite Límbica , Autoanticorpos , Humanos , Peptídeos e Proteínas de Sinalização Intracelular , Leucina , Encefalite Límbica/diagnóstico , Encefalite Límbica/tratamento farmacológico , Masculino , Pessoa de Meia-Idade
5.
Neurol India ; 69(4): 904-909, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34507410

RESUMO

Background and Aims: Insular gliomas remain one of most challenging locations for aggressive resection. We report our experience and strategies we employed to avoid complications in immediate post-operative period of surgical resection of insular gliomas. Methods: Retrospective analysis of data collected in 61 consecutive patients who underwent surgical resection of insular gliomas between May 2013 and May 2016 was done. Primary outcome measures were neurological deficits and death in the immediate post-operative period to three months follow-up. Results: The average age of the study population was 42.57 ± 10.98 years with 41 (67.2%) men. Glioma was on the right side in 35 (57.3%) patients. Surgery for recurrent glioma was performed in three (4.9%) patients. The average MIB index of the entire group was 10.1 ± 13.9. While 23 (37.7%) patients underwent the TO approach, 38 (62.3%) underwent TS approach. In the immediate post-operative period, significantly higher number of patients under TS approach had post-surgical complications (8.6% vs 34.2%; P = 0.032). The surgical approaches did not differ significantly for outcome, mortality and complications at three month post-operatively (0.0% vs 10.5%; P = 0.287). However, a trend for lower complications at three months was observed with TO approach. Conclusion: We report that morbidity and mortality in immediate post-operative period can be reduced by: a) pre-surgical assessment of confinement of glioma in respect to lenticulo-striate arteries, b) Intra-operative use of functional-MRI, DTI tractography and ICG angiography, c) Application of Berger-Sinai classification to localize the glioma, d) selecting either TS or TO approach based on Berger-Sinai classification.


Assuntos
Neoplasias Encefálicas , Glioma , Cirurgiões , Adulto , Neoplasias Encefálicas/cirurgia , Córtex Cerebral/diagnóstico por imagem , Córtex Cerebral/cirurgia , Glioma/cirurgia , Humanos , Masculino , Pessoa de Meia-Idade , Recidiva Local de Neoplasia , Procedimentos Neurocirúrgicos/efeitos adversos , Complicações Pós-Operatórias/etiologia , Estudos Retrospectivos , Resultado do Tratamento
6.
Neurol India ; 69(4): 1005-1009, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34507430

RESUMO

Background: Gliomas are aggressive tumors with limited treatment options. Immunotherapy targets are under evaluation as new therapeutic targets in gliomas. Aims and Objectives: The aims of the study were to analyze expression of PDL1 in adult diffuse gliomas in World Health Organization grade II, III, and IV and to corelate its expression with demographic features, IDH-1, ATRX, and p-53 mutation status. Materials and Methods: This was a case series that included 30 cases of adult diffuse glioma. In all cases, a composite diagnosis including histologic type, grade, and molecular alterations was rendered. PDL1 testing was done by immunohistochemistry using PDL1 SP-263 antibody. Results: PDL1 expression was identified in 33.3% cases in tumor cells and in 6.67% cases in immune cells. All neoplasms with PDL1 expression were astrocytic tumors. PDL1 expression was significantly associated with IDH-1 immunonegative gliomas (P = 0.013). Conclusion: PDL1 is a novel therapeutic target in gliomas. The current study is an attempt to evaluate the expression of PDL1 over the varied spectrum of gliomas.


Assuntos
Neoplasias Encefálicas , Glioma , Antígeno B7-H1/genética , Neoplasias Encefálicas/genética , Glioma/genética , Humanos , Isocitrato Desidrogenase/genética , Mutação
7.
Comput Biol Med ; 137: 104829, 2021 10.
Artigo em Inglês | MEDLINE | ID: mdl-34508971

RESUMO

Glioma is the most pernicious cancer of the nervous system, with histological grade influencing the survival of patients. Despite many studies on the multimodal treatment approach, survival time remains brief. In this study, a novel two-stage ensemble of an ensemble-type machine learning-based predictive framework for glioma detection and its histograde classification is proposed. In the proposed framework, five characteristics belonging to 135 subjects were considered: human telomerase reverse transcriptase (hTERT), chitinase-like protein (YKL-40), interleukin 6 (IL-6), tissue inhibitor of metalloproteinase-1 (TIMP-1) and neutrophil/lymphocyte ratio (NLR). These characteristics were examined using distinctive ensemble-based machine learning classifiers and combination strategies to develop a computer-aided diagnostic system for the non-invasive prediction of glioma cases and their grade. In the first stage, the analysis was conducted to classify glioma cases and control subjects. Machine learning approaches were applied in the second stage to classify the recognised glioma cases into three grades, from grade II, which has a good prognosis, to grade IV, which is also known as glioblastoma. All experiments were evaluated with a five-fold cross-validation method, and the classification results were analysed using different statistical parameters. The proposed approach obtained a high value of accuracy and other statistical parameters compared with other state-of-the-art machine learning classifiers. Therefore, the proposed framework can be utilised for designing other intervention strategies for the prediction of glioma cases and their grades.


Assuntos
Neoplasias Encefálicas , Glioma , Aprendizado de Máquina , Neoplasias Encefálicas/diagnóstico , Glioma/diagnóstico , Humanos , Imageamento por Ressonância Magnética , Gradação de Tumores
8.
Nat Commun ; 12(1): 5530, 2021 09 20.
Artigo em Inglês | MEDLINE | ID: mdl-34545083

RESUMO

Long-term complications such as radiation-induced second malignancies occur in a subset of patients following radiation-therapy, particularly relevant in pediatric patients due to the long follow-up period in case of survival. Radiation-induced gliomas (RIGs) have been reported in patients after treatment with cranial irradiation for various primary malignancies such as acute lymphoblastic leukemia (ALL) and medulloblastoma (MB). We perform comprehensive (epi-) genetic and expression profiling of RIGs arising after cranial irradiation for MB (n = 23) and ALL (n = 9). Our study reveals a unifying molecular signature for the majority of RIGs, with recurrent PDGFRA amplification and loss of CDKN2A/B and an absence of somatic hotspot mutations in genes encoding histone 3 variants or IDH1/2, uncovering diagnostic markers and potentially actionable targets.


Assuntos
Inibidor de Quinase Dependente de Ciclina p15/metabolismo , Inibidor p16 de Quinase Dependente de Ciclina/metabolismo , Amplificação de Genes , Glioma/genética , Recidiva Local de Neoplasia/patologia , Receptor alfa de Fator de Crescimento Derivado de Plaquetas/genética , Adolescente , Adulto , Criança , Deleção Cromossômica , Análise por Conglomerados , Metilação de DNA/genética , Feminino , Regulação Neoplásica da Expressão Gênica , Rearranjo Gênico/genética , Genoma Humano , Glioma/patologia , Humanos , Estimativa de Kaplan-Meier , Masculino , Pessoa de Meia-Idade , Radiação , Receptor alfa de Fator de Crescimento Derivado de Plaquetas/metabolismo , Transcrição Genética , Adulto Jovem
9.
Nat Commun ; 12(1): 5531, 2021 09 20.
Artigo em Inglês | MEDLINE | ID: mdl-34545084

RESUMO

Radiation-induced high-grade gliomas (RIGs) are an incurable late complication of cranial radiation therapy. We performed DNA methylation profiling, RNA-seq, and DNA sequencing on 32 RIG tumors and an in vitro drug screen in two RIG cell lines. We report that based on DNA methylation, RIGs cluster primarily with the pediatric receptor tyrosine kinase I high-grade glioma subtype. Common copy-number alterations include Chromosome (Ch.) 1p loss/1q gain, and Ch. 13q and Ch. 14q loss; focal alterations include PDGFRA and CDK4 gain and CDKN2A and BCOR loss. Transcriptomically, RIGs comprise a stem-like subgroup with lesser mutation burden and Ch. 1p loss and a pro-inflammatory subgroup with greater mutation burden and depleted DNA repair gene expression. Chromothripsis in several RIG samples is associated with extrachromosomal circular DNA-mediated amplification of PDGFRA and CDK4. Drug screening suggests microtubule inhibitors/stabilizers, DNA-damaging agents, MEK inhibition, and, in the inflammatory subgroup, proteasome inhibitors, as potentially effective therapies.


Assuntos
Glioma/genética , Glioma/patologia , Radiação , Adolescente , Criança , Estudos de Coortes , Simulação por Computador , Variações do Número de Cópias de DNA/genética , Metilação de DNA/genética , Ensaios de Seleção de Medicamentos Antitumorais , Regulação Neoplásica da Expressão Gênica , Ontologia Genética , Humanos , Gradação de Tumores , Transcriptoma/genética , Adulto Jovem
11.
Math Biosci Eng ; 18(5): 5790-5815, 2021 06 25.
Artigo em Inglês | MEDLINE | ID: mdl-34517512

RESUMO

A brain tumor is an abnormal growth of brain cells inside the head, which reduces the patient's survival chance if it is not diagnosed at an earlier stage. Brain tumors vary in size, different in type, irregular in shapes and require distinct therapies for different patients. Manual diagnosis of brain tumors is less efficient, prone to error and time-consuming. Besides, it is a strenuous task, which counts on radiologist experience and proficiency. Therefore, a modern and efficient automated computer-assisted diagnosis (CAD) system is required which may appropriately address the aforementioned problems at high accuracy is presently in need. Aiming to enhance performance and minimise human efforts, in this manuscript, the first brain MRI image is pre-processed to improve its visual quality and increase sample images to avoid over-fitting in the network. Second, the tumor proposals or locations are obtained based on the agglomerative clustering-based method. Third, image proposals and enhanced input image are transferred to backbone architecture for features extraction. Fourth, high-quality image proposals or locations are obtained based on a refinement network, and others are discarded. Next, these refined proposals are aligned to the same size, and finally, transferred to the head network to achieve the desired classification task. The proposed method is a potent tumor grading tool assessed on a publicly available brain tumor dataset. Extensive experiment results show that the proposed method outperformed the existing approaches evaluated on the same dataset and achieved an optimal performance with an overall classification accuracy of 98.04%. Besides, the model yielded the accuracy of 98.17, 98.66, 99.24%, sensitivity (recall) of 96.89, 97.82, 99.24%, and specificity of 98.55, 99.38, 99.25% for Meningioma, Glioma, and Pituitary classes, respectively.


Assuntos
Neoplasias Encefálicas , Glioma , Encéfalo/diagnóstico por imagem , Neoplasias Encefálicas/diagnóstico por imagem , Diagnóstico por Computador , Humanos , Processamento de Imagem Assistida por Computador , Imageamento por Ressonância Magnética
12.
Yonsei Med J ; 62(10): 936-942, 2021 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-34558873

RESUMO

PURPOSE: A critical indicator of the overall survival of patients with high-grade glioma is the successful isolation of tumor mesenchymal stem-like cells (tMSLCs), which play important roles in glioma progression. However, attempts to isolate tMSLCs from surgical specimens have not always been successful, and the reasons for this remain unclear. Considering that the amount of surgical high-grade glioma specimens varies, we hypothesized that larger surgical specimens would be better for tMSLC isolation. MATERIALS AND METHODS: We assessed 51 fresh, high-grade glioma specimens and divided them into two groups according to the success or failure of tMSLC isolation. The success of tMSLC isolation was confirmed by plastic adherence, presenting antigens, tri-lineage differentiation, and non-tumorigenicity. Differences in characteristics between the two groups were tested using independent two sample t-tests, chi-square tests, or Kaplan-Meier survival analysis. RESULTS: The mean specimen weights of the groups differed from each other (tMSLC-negative group: 469.9±341.9 mg, tMSLC positive group: 546.7±618.9 mg), but the difference was not statistically significant. The optimal cut-off value of specimen weight was 180 mg, and the area under the curve value was 0.599. CONCLUSION: Our results suggested a minimum criterion for specimen collection, and found that the specimen amount was not deeply related to tMSLC detection. Collectively, our findings imply that the ability to isolate tMSLCs is determined by factors other than the specimen amount.


Assuntos
Neoplasias Encefálicas , Glioma , Células-Tronco Mesenquimais , Diferenciação Celular , Humanos , Células-Tronco Neoplásicas
13.
Int J Mol Sci ; 22(17)2021 Aug 25.
Artigo em Inglês | MEDLINE | ID: mdl-34502082

RESUMO

Diffuse intrinsic pontine glioma (DIPG) is an incurable paediatric malignancy. Identifying the molecular drivers of DIPG progression is of the utmost importance. Long non-coding RNAs (lncRNAs) represent a large family of disease- and tissue-specific transcripts, whose functions have not yet been elucidated in DIPG. Herein, we studied the oncogenic role of the development-associated H19 lncRNA in DIPG. Bioinformatic analyses of clinical datasets were used to measure the expression of H19 lncRNA in paediatric high-grade gliomas (pedHGGs). The expression and sub-cellular location of H19 lncRNA were validated in DIPG cell lines. Locked nucleic acid antisense oligonucleotides were designed to test the function of H19 in DIPG cells. We found that H19 expression was higher in DIPG vs. normal brain tissue and other pedHGGs. H19 knockdown resulted in decreased cell proliferation and survival in DIPG cells. Mechanistically, H19 buffers let-7 microRNAs, resulting in the up-regulation of oncogenic let-7 target (e.g., SULF2 and OSMR). H19 is the first functionally characterized lncRNA in DIPG and a promising therapeutic candidate for treating this incurable cancer.


Assuntos
Neoplasias do Tronco Encefálico/genética , Proliferação de Células , Glioma/genética , RNA Longo não Codificante/metabolismo , Neoplasias do Tronco Encefálico/metabolismo , Neoplasias do Tronco Encefálico/patologia , Células Cultivadas , Regulação Neoplásica da Expressão Gênica , Glioma/metabolismo , Glioma/patologia , Histonas/metabolismo , Humanos , MicroRNAs/genética , MicroRNAs/metabolismo , Mutação , RNA Longo não Codificante/genética
14.
Neuro Oncol ; 23(9): 1457-1469, 2021 09 01.
Artigo em Inglês | MEDLINE | ID: mdl-34467991

RESUMO

BACKGROUND: The DNA repair protein O6-methylguanine-DNA methyltransferase (MGMT) causes resistance of tumor cells to alkylating agents. It is a predictive biomarker in high-grade gliomas treated with temozolomide, however, there is no consensus on which test method, methylation sites, and cutoff values to use. METHODS: We performed a Cochrane Review to examine studies using different techniques to measure MGMT and predict survival in glioblastoma patients treated with temozolomide. Eligible longitudinal studies included (i) adults with glioblastoma treated with temozolomide with or without radiotherapy, or surgery; (ii) where MGMT status was determined in tumor tissue, and assessed by 1 or more technique; and (iii) where overall survival was an outcome parameter, with sufficient information to estimate hazard ratios (HRs). Two or more methods were compared in 32 independent cohorts with 3474 patients. RESULTS: Methylation-specific PCR (MSP) and pyrosequencing (PSQ) techniques were more prognostic than immunohistochemistry for MGMT protein, and PSQ is a slightly better predictor than MSP. CONCLUSIONS: We cannot draw strong conclusions about use of frozen tissue vs formalin-fixed paraffin-embedded in MSP and PSQ. Also, our meta-analysis does not provide strong evidence about the best CpG sites or threshold. MSP has been studied mainly for CpG sites 76-80 and 84-87 and PSQ at CpG sites ranging from 72 to 95. A cutoff threshold of 9% for CpG sites 74-78 performed better than higher thresholds of 28% or 29% in 2 of the 3 good-quality studies. About 190 studies were identified presenting HRs from survival analysis in patients in which MGMT methylation was measured by 1 technique only.


Assuntos
Neoplasias Encefálicas , Glioblastoma , Glioma , Antineoplásicos Alquilantes/uso terapêutico , Neoplasias Encefálicas/tratamento farmacológico , Neoplasias Encefálicas/genética , Metilação de DNA , Metilases de Modificação do DNA/genética , Enzimas Reparadoras do DNA/genética , Glioblastoma/tratamento farmacológico , Glioblastoma/genética , Humanos , Metilação , Regiões Promotoras Genéticas , Temozolomida/uso terapêutico , Proteínas Supressoras de Tumor/genética
15.
Nan Fang Yi Ke Da Xue Xue Bao ; 41(8): 1283-1286, 2021 Aug 20.
Artigo em Chinês | MEDLINE | ID: mdl-34549723

RESUMO

OBJECTIVE: To analyze the consistency between cerebral blood flow (CBF) of 3D arterial spin labeling (3D ASL) and dynamic susceptibility contrast perfusion magnetic resonance imaging (DSC-PWI) in the measurement of brain tumors. METHODS: Nineteen patients with pathologically confirmed brain tumors were enrolled in this study.The brain tumors included glioma (n=9), meningioma (n=5), hemangioblastoma (n=2), cerebral metastasis (n=2) and cavernous hemangioma (n=1).Both ASL and DSC MRI were performed in all the 19 patients (57 regions of interest), and CBF was quantitatively determined. RESULTS: A significant consistency was found between CBF measured by 3D ASL and the relative CBF (rCBF) determined by DSC (P=0.005). CONCLUSION: 3D ASL and DSC PWI are consistent in evaluating blood flow in brain tumors and can accurately evaluate brain tumors perfusion.


Assuntos
Neoplasias Encefálicas , Glioma , Neoplasias Encefálicas/diagnóstico por imagem , Circulação Cerebrovascular , Meios de Contraste , Humanos , Angiografia por Ressonância Magnética , Imageamento por Ressonância Magnética , Imagem de Perfusão , Marcadores de Spin
16.
Biomed Res Int ; 2021: 5516819, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34504897

RESUMO

Automated detection of brain tumor location is essential for both medical and analytical uses. In this paper, we clustered brain MRI images to detect tumor location. To obtain perfect results, we presented an unsupervised robust PCA algorithm to clustered images. The proposed method clusters brain MR image pixels to four leverages. The algorithm is implemented for five brain diseases such as glioma, Huntington, meningioma, Pick, and Alzheimer's. We used ten images of each disease to validate the optimal identification rate. According to the results obtained, 2% of the data in the bad leverage part of the image were determined, which acceptably discerned the tumor. Results show that this method has the potential to detect tumor location for brain disease with high sensitivity. Moreover, results show that the method for the Glioma images has approximately better results than others. However, according to the ROC curve for all selected diseases, the present method can find lesion location.


Assuntos
Neoplasias Encefálicas/diagnóstico por imagem , Processamento de Imagem Assistida por Computador/métodos , Análise de Componente Principal/métodos , Algoritmos , Doença de Alzheimer/diagnóstico por imagem , Doença de Alzheimer/patologia , Encéfalo/diagnóstico por imagem , Encéfalo/patologia , Neoplasias Encefálicas/patologia , Análise por Conglomerados , Glioma/diagnóstico por imagem , Glioma/patologia , Humanos , Doença de Huntington/diagnóstico por imagem , Doença de Huntington/patologia , Imageamento por Ressonância Magnética/métodos , Neoplasias Meníngeas/diagnóstico por imagem , Neoplasias Meníngeas/patologia , Meningioma/diagnóstico por imagem , Meningioma/patologia , Curva ROC
17.
Eur J Radiol ; 143: 109946, 2021 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-34534909

RESUMO

BACKGROUND: To develop a diagnostic tree analysis (DTA) model based on demographical information and conventional MRI for differential diagnosis of adult pilocytic astrocytomas (PAs) and high-grade gliomas (HGGs; World Health Organization grade III-IV). METHODS: A total of 357 adult patients with pathologically confirmed PA (n = 65) and HGGs (n = 292) who underwent conventional MRI were included. The patients were randomly divided into training (n = 250) and validation (n = 107) datasets to assess the diagnostic performance of the DTA model. The DTA model was created using a classification and regression tree algorithm on the basis of demographical and MRI findings. RESULTS: In the DTA model, tumor location (on cerebellum, brainstem, hypothalamus, optic nerve, or ventricle), cystic mass with mural nodule appearance, presence of infiltrative growth, and major axis (cutoff value, 2.9 cm) were significant predictors for differential diagnosis of adult PAs and HGGs. The AUC, accuracy, sensitivity, and specificity were 0.94 (95% confidence interval 0.86-1.00), 96.2%, 89.5%, and 97.7%, respectively, in the test set. The accuracy of the DTA model was significantly higher than the no-information rate in the test (96.2 % vs 85.0%, P < 0.001) set. CONCLUSION: The DTA model based on MRI findings may be useful for differential diagnosis of adult PA and HGGs.


Assuntos
Astrocitoma , Neoplasias Encefálicas , Glioma , Adulto , Algoritmos , Astrocitoma/diagnóstico por imagem , Neoplasias Encefálicas/diagnóstico por imagem , Diagnóstico Diferencial , Glioma/diagnóstico por imagem , Humanos , Imageamento por Ressonância Magnética
18.
Nan Fang Yi Ke Da Xue Xue Bao ; 41(8): 1171-1176, 2021 Aug 20.
Artigo em Chinês | MEDLINE | ID: mdl-34549707

RESUMO

OBJECTIVE: To investigate neuregulin 2 (NRG2) expression in gliomas and its role in glioma development. METHODS: We compared the expression levels of NRG2 and glial fibrillary acidic protein (GFAP) in low-grade glioma (LGG) and glioblastoma multiforme (GBM) with those in normal control samples using GEPIA database.The correlation between NRG2 and GFAP expression and their association with the overall survival of patients with LGG and GBM were analyzed.Immunohistochemical staining was used to detect NRG2 protein expression levels in a tissue microarray consisting of human gliomas of different grades, and potential co-localization of NRG2 and GFAP was analyzed using a double-labeling immunofluorescence assay.Western blotting was used to investigate the effect of perifosine (an AKT inhibitor) on the regulation of GFAP expression by NRG2 in human glioblastoma U-87 MG cells. RESULTS: Both LGG and GBM tissues, especially the former, exhibited high expressions of NRG2 (P < 0.01).In GBM samples, patients with low NRG2 levels had slightly higher overall survival after 30 months than patients with high NRG2 levels.The expression level of NRG2 mRNA was negatively correlated with that of GFAP in LGG samples (P < 0.01) but positively correlated with GFAP expression in GBM samples (P < 0.01).Immunofluorescence assay showed that NRG2 and GFAP were co-expressed in the same tumor cells of LGG tissues but were separately expressed in different tumor cells in GBM tissues.In U-87 MG cells, treatment with recombinant human NRG2 obviously promoted the expression of GFAP, and this effect was significantly inhibited by perifosine (P < 0.01). CONCLUSION: NRG2 is highly expressed in gliomas of different grades and regulates GFAP expression in glioma cells at least partly via the Akt signaling pathway to affect the survival of glioma patients.


Assuntos
Neoplasias Encefálicas , Glioblastoma , Glioma , Fatores de Crescimento Neural/genética , Biomarcadores Tumorais/genética , Proteína Glial Fibrilar Ácida , Humanos , Neurregulinas , Proteínas Proto-Oncogênicas c-akt , Transdução de Sinais
19.
Bratisl Lek Listy ; 122(10): 708-714, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34570571

RESUMO

OBJECTIVE: In this study, we analysed the results of magnetic resonance spectroscopy (MRS) in the patients with gliomas, including the error rate, MRS parameters variability, correlations with gene mutations and overall usefulness for clinical practice. MATERIAL AND METHODS: Eighty patients with glial tumours were examined by multiparametric MRI completed with single voxel MRS, as one group, then as two separate groups according to progression of the disease after the initial surgery. The error rate between the groups, MRS parameters variability, hazard ratios and correlations between metabolites, genetic markers and tumour grade were all analysed. RESULTS: Variability in Cho/Cr(h) was significantly higher in the group with a disease progression (p = 0.044). In the patients with a stable disease, strong significant negative correlations between Cho/Cr and Cho/NAA with p53 mutation (-0.945 and -0.812 respectively, p < 0.05) and between Cho/Cr and IDH1, 2 mutation (-0.796, p < 0.05) were found. In the patients with tumour progression, a significant positive correlation of NAA/Cr with 1p19q codeletion (0.486, p < 0.05) and of Cho/Cr and Cho/NAA values with p53 mutation (0.477 and 0.416, p < 0.05) were identified. Tumour grade positively correlated with Cho/Cr values (0.304, p = 0.02) in the whole patient group. CONCLUSION: MRS brings an added value to multiparametric MRI evaluation of brain tumours in the patient follow-up after an initial surgery, especially in ambiguous findings (Tab. 5, Fig. 2, Ref. 29).


Assuntos
Neoplasias Encefálicas , Glioma , Ácido Aspártico , Encéfalo , Neoplasias Encefálicas/diagnóstico por imagem , Neoplasias Encefálicas/genética , Colina , Creatina , Glioma/diagnóstico por imagem , Glioma/genética , Humanos , Espectroscopia de Ressonância Magnética
20.
Medicine (Baltimore) ; 100(36): e26750, 2021 Sep 10.
Artigo em Inglês | MEDLINE | ID: mdl-34516487

RESUMO

ABSTRACT: To investigate the correlation between preoperative inflammatory markers, Ki-67 expression and the pathological grade of glioma, and to provide a reference for clinical prediction of glioma prognosis.A total of 45 glioma patients who underwent surgery with complete clinical and pathological data were in our hospital from January 2012 to December 2018 were enrolled. Glioma was divided into WHO grade I to IV. Forty-five healthy health examiners with matched clinical characteristics were included to the control group. Blood routine tests were recorded at admission in both the glioma and control group. The ratio of neutrophil to lymphocyte cytometry (NLR), derived neutrophil to lymphocyte ratio (dNLR) (white blood cell count - neutrophil count to neutrophil count), platelet to lymphocyte ratio (PLR) and prognostic nutritional index (PNI, serum albumin content + 5 × lymphocyte count) were calculated. The expression of Ki-67 in glioma was detected by immunohistochemistry. The relationship between the above markers, Ki-67 expression and pathological grade of glioma was evaluated with receiver operating characteristics curve analysis and Spearman correlation test. The correlation between the markers and Ki-67 were also determined.NLR, dNLR, PLR were increased in the glioma group (P < .001, <.001, .002), whereas red blood cell distribution width (RDW) was decreased (P = .009). All the glioma samples expressed Ki-67 with varying degree. Receiver operating characteristics curve analysis reveals NLR, dNLR, PLR, and RDW have significant discriminating ability in differentiating the glioma and control sample. NLR, PLR, PNI, and Ki-67 were significantly correlated with glioma pathology grade (P = .023, .006, .019, <.05), while dNLR and RDW were not associated with glioma grade. Finally, NLR and PLR were related to Ki-67 expression in glioma patients (P = .002, .022), while dNLR and RDW were not related to Ki-67 expression.Preoperative inflammatory markers NLR, PLR, PNI, and postoperative Ki-67 expression are associated with pathological grade of glioma. Detection of these markers may aid in better prediction of glioma prognosis.


Assuntos
Neoplasias Encefálicas/cirurgia , Glioma/cirurgia , Antígeno Ki-67/sangue , Linfócitos/citologia , Neutrófilos/citologia , Biomarcadores Tumorais/sangue , Neoplasias Encefálicas/metabolismo , Neoplasias Encefálicas/patologia , Feminino , Glioma/metabolismo , Glioma/patologia , Humanos , Imuno-Histoquímica , Masculino , Pessoa de Meia-Idade , Gradação de Tumores , Prognóstico , Curva ROC , Estudos Retrospectivos , Sensibilidade e Especificidade
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