Adult ; Brain Neoplasms ; diagnosis ; metabolism ; pathology ; Female ; Humans ; Magnetic Resonance Imaging ; Magnetic Resonance Spectroscopy ; Neoplasms, Neuroepithelial ; diagnosis ; metabolism ; pathology

Adult ; Brain ; pathology ; Brain Neoplasms ; metabolism ; pathology ; surgery ; Diagnosis, Differential ; Female ; Ganglioglioma ; metabolism ; pathology ; surgery ; Humans ; Neoplasms, Neuroepithelial ; pathology ; S100 Proteins ; metabolism ; Synaptophysin ; metabolism

Brain Neoplasms ; diagnosis ; metabolism ; pathology ; Child ; Diagnosis, Differential ; Female ; Glioma ; pathology ; Humans ; Immunohistochemistry ; Magnetic Resonance Imaging ; Meningioma ; diagnosis ; metabolism ; pathology ; Mucin-1 ; metabolism ; Occipital Lobe ; Vimentin ; metabolism

Objective To investigate the relationship between the expression of glutathione peroxidase(GPX)genes and the clinical prognosis in glioma patients,and to construct and evaluate the model for predicting the prognosis of glioma. Methods The clinical information and GPX expression of 663 patients,including 153 patients of glioblastoma(GBM)and 510 patients of low-grade glioma(LGG),were obtained from The Cancer Genome Atlas(TCGA)database.The relationship between GPX expression and patient survival was analyzed.The key GPX affecting the prognosis of glioma was screened out by single- and multi-factor Cox's proportional-hazards regression models and validated by least absolute shrinkage and selection operator(Lasso)regression.Finally,we constructed the model for predicting the prognosis of glioma with the screening results and then used concordance index and calibration curve respectively to evaluate the discrimination and calibration of model. Results Compared with those in the control group,the expression levels of GPX1,GPX3,GPX4,GPX7,and GPX8 were up-regulated in glioma patients(all P<0.001).Moreover,the expression levels of other GPX except GPX3 were higher in GBM patients than in LGG patients(all P<0.001).The Kaplan-Meier curves showed that the progression-free survival of GBM with high expression of GPX1(P=0.013)and GPX4(P=0.040),as well as the overall survival,disease-specific survival,and progression-free survival of LGG with high expression of GPX1,GPX7,and GPX8,was shortened(all P<0.001).GPX7 and GPX8 were screened out as the key factors affecting the prognosis of LGG.The results were further used to construct a nomogram model,which suggested GPX7 was the most important variable.The concordance index of the model was 0.843(95%CI=0.809-0.853),and the calibration curve showed that the predicted and actual results had good consistency. Conclusion GPX7 is an independent risk factor affecting the prognosis of LGG,and the nomogram model constructed with it can be used to predict the survival rate of LGG.
Brain Neoplasms ; Glioblastoma ; Glioma/diagnosis* ; Glutathione Peroxidase/metabolism* ; Humans ; Peroxidases ; Prognosis ; Proportional Hazards Models

Adolescent ; Brain Neoplasms ; metabolism ; pathology ; Diagnosis, Differential ; Female ; Humans ; Melanoma ; metabolism ; pathology ; Melanoma-Specific Antigens ; metabolism ; Neurilemmoma ; metabolism ; pathology ; S100 Proteins ; metabolism ; Vimentin ; metabolism

Adolescent ; Brain Neoplasms ; metabolism ; pathology ; surgery ; Diagnosis, Differential ; Ependymoma ; metabolism ; pathology ; Ganglioglioma ; metabolism ; pathology ; surgery ; Glial Fibrillary Acidic Protein ; metabolism ; Humans ; Immunohistochemistry ; Male ; Tubulin ; metabolism ; Vimentin ; metabolism

OBJECTIVESTo analyze the long-term survivors of glioblastoma and to identify any prognostic factors that potentially contribute to survival.

METHODSFifteen glioblastomas patients underwent surgery from June 2007 to April 2009 who survived longer than 3 years were enrolled in. Clinical characteristics such as age, location of tumor, extent of resection, and radiotherapy or chemotherapy were analyzed. The expressions of epidermal growth factor receptor (EGFR), tumor protein 53 (P53), phosphatase and tensin homolog (PTEN), O6-methylguanine-DNA methyltransferase (MGMT), isocitrate dehydrogenase 1 gene (IDH1), and neurofibromatosis type 1 (NF-1) in tumor samples were measured by immunohistochemical method, and the status of P53 and IDH1 were detected by direct DNA sequencing as well. And the patients who survived less than 1 year were set as control. Kaplan-Meier analysis was used to evaluate the prognostic factors.

RESULTSThe average age of patients at diagnosis was 45.6 years. And the overall survival time was 3-6 years (median survival time 3.5 years). Thirteen patients underwent a total resection, and 14 patients took orally temozolomide. The occurrence frequency of these molecular markers in long-term survivors was PTEN (13/15), IDH1 (13/15), IDH1 mutation (12/15), P53 (8/15), P53 mutation (7/15), EGFR (6/15), MGMT (4/15) and NF-1 (3/15). There was a good correlation between IDH1 protein expression and IDHI mutation, and between P53 protein expression and P53 mutation. And the survival analysis showed that age above 50 years at diagnosis (OR = 0.262, 95%CI: 0.102 - 0.672), total resection (OR = 0.372, 95%CI: 0.149 - 0.931) and combined oral temozolomide (OR = 0.131, 95%CI: 0.044 - 0.390) were favorable clinical prognostic factors. PTEN (OR = 0.201, 95%CI: 0.074 - 0.549) and IDH1 (OR = 0.151, 95%CI: 0.050 - 0.454) expression, IDH1 mutation (OR = 0.276, 95%CI: 0.108 - 0.709) in tumor cells contributed to a favorable prognosis.

CONCLUSIONSThere is probably no single molecular marker that is responsible for long-term survival of patients with glioblastoma, may be a balance between all these molecular events result in a favorable outcome.

Adult ; Brain Neoplasms ; diagnosis ; metabolism ; Female ; Glioblastoma ; diagnosis ; metabolism ; Humans ; Isocitrate Dehydrogenase ; metabolism ; Kaplan-Meier Estimate ; Male ; Middle Aged ; Mutation ; PTEN Phosphohydrolase ; metabolism ; Prognosis ; Survivors

Adult ; Antigens, CD20 ; metabolism ; Brain ; pathology ; Brain Neoplasms ; immunology ; pathology ; CD3 Complex ; metabolism ; Diagnosis, Differential ; Humans ; Leukocyte Common Antigens ; metabolism ; Lymphomatoid Granulomatosis ; immunology ; pathology ; Male

Glioma-related edema (GRE) is a significant contributor to morbidity and mortality from glioma. GRE is a complicated process involving not only peritumoral edema but also the water content of the tumor body. In terms of etiology, this condition derives from both GRE in the untreated state and GRE secondary to clinical intervention, and different cell types contribute to distinct components of GRE. Peritumoral edema was previously believed to loosen glioma tissue, facilitating tumor-cell invasion; however, the nutrition hypothesis of the tumor microecosystem suggests that tumor cells invade for the sake of nutrition. Edema is the pathologic consequence of the reconstructed trophic linkage within the tumor microecosystem. Glioma cells induce peritumoral brain edema via an active process that supplies a suitable niche for peritumoral invasive cells, suggesting that glioma-related peritumoral brain edema is determined by the invasive property of tumor cells. There are differences between pivotal molecular events and reactive molecular events in the development of GRE. Molecular therapy should target the former, as targeting reactive molecular events will produce undesired or even adverse results. At present, brain glioma angiogenesis models have not been translated into a new understanding of the features of brain images. The effect of these models on peritumoral brain edema is unclear. Clinical approaches should be transformed on the basis of new knowledge of the molecular mechanism underlying GRE. Exploring clinical assessment methods, optimizing the existing control strategy of GRE, and simultaneously developing new treatments are essential.
Brain Edema ; diagnosis ; drug therapy ; metabolism ; pathology ; Brain Neoplasms ; diagnosis ; drug therapy ; metabolism ; pathology ; Glioma ; diagnosis ; drug therapy ; metabolism ; pathology ; Humans ; Magnetic Resonance Imaging ; Molecular Targeted Therapy ; Vascular Endothelial Growth Factor A ; metabolism

BACKGROUNDMagnetic resonance spectroscopy (MRS) is one method that can examine noninvasively the alive specimen of the organ, metabolism of the organ and cell, and the biochemistry change. MRS provides the biochemistry information that may be used to diagnose tumors or differentiate the malignant tumor from benign. The objective of this study is to investigate the benign and malignant bone and soft tissue tumors by 1H-MR spectroscopy ((1)H-MRS) on a 3 Tesla MR scanner, then to assess the usefulness of (1)H-MRS in diagnosing bone and soft tissue tumors and distinguishing benign from malignant tumors.

METHODSFifty-six patients with bone and soft tissue tumors proved clinically and pathologically were examined with (1)H-MRS. (1)H-MRS was performed to study malignant musculoskeletal tumors, benign tumors and normal muscle adjacent to lesions to analyze the characteristics, and single-voxel point-resolved spectroscopy sequence was used. Proton brain exam-single voxel of (1)H-MRS which directly appeared in the spectrum, was observed to find the peak height of choline compounds (Cho) opposite to the creatine (Cr), and whether there was a Cho peak. Metabolite values were calculated automatically from the area under each metabolite peak by the Functool 3.1 software. Metabolite ratios of Cho/Cr were manually calculated. Then according to the results, it was judged whether there existed benign or malignant tumors. The Kappa statistical test was used to analyze the MRS results, the histopathology data and the surgical situation. Statistics processing was performed using the software package SPSS11.5 for Windows.

RESULTS(1)H-MRS spectra style of bone and soft tissue tumors was different from that of normal muscle, and differences also existed between benign and malignant tumors. Choline level in malignant tumor was markedly higher than that in benign tumors. Cho/Cr in malignant tumor was higher than in benign tumor significantly (P < 0.05). The true positive rate of bone and soft tissue between benign and malignant tumors was 34/36, the true negative rate was 15/18, the false positive rate was 3/18 and the false negative rate was 2/36. Therefore in the group, sensitivity of the (1)H-MRS was 94% (34/36), specificity was 83% (15/18), positive predictive value was 92% (34/37), negative predictive value was 88% (15/17) and the accuracy rate was 91% (49/54). The MRS results and the histopathology inspection conclusions had very good uniformity. The kappa value was 0.76 +/- 0.10 (P < 0.01).

CONCLUSIONSThe increase of Cho level measured by (1)H-MRS is related to the bone and soft tissue malignant tumor. Cho/Cr in malignant tumor was higher than in benign tumor, so they will play a vital role in the diagnosis and differential diagnosis of bone and soft tissue tumors.

Adolescent ; Adult ; Aged ; Brain Neoplasms ; diagnosis ; Choline ; metabolism ; Creatine ; metabolism ; Female ; Humans ; Magnetic Resonance Imaging ; Magnetic Resonance Spectroscopy ; methods ; Male ; Middle Aged ; Soft Tissue Neoplasms ; diagnosis ; Young Adult