OBJECTIVEThis overview seeked to bring together the microRNA (miRNA) researches on biogenesis and bio-function in these areas of clinical diagnosis and therapy for malignant glioma.

DATA SOURCESUsing the keyword terms "glioma" and "miRNA," we performed the literature search in PubMed, Ovid, and web.metstr.com databases from their inception to October 2014.

STUDY SELECTIONIn screening out the quality of the articles, factors such as clinical setting of the study, the size of clinical samples were taken into consideration. Animal studied for verification and reviews article were also included in our data collection.

RESULTSDespite many advance in miRNA for malignant glioma, further studies were still required to focus on the following aspects: (i) Improving the understanding about biogenesis of miRNA and up-down regulation; (ii) utilizing high-throughput miRNA expression analysis to screen out the core miRNA for glioma; (iii) Focusing related miRNAs on the signal transduction pathways that regulate the proliferation and growth of glioma.

CONCLUSIONSWe discussed the most promising miRNA, correlative signaling pathway and their relation with gliomas in the way of prompting miRNA target into being a clinical therapeutic strategy.

Brain Neoplasms ; genetics ; pathology ; Gene Expression Regulation, Neoplastic ; Glioma ; genetics ; pathology ; Humans ; MicroRNAs ; genetics

OBJECTIVETo establish malignant progression associated gene expression profiles in human brain glioma.

METHODSThe primary (WHO grade II), recurrent (WHO grade III) and re-recurrent (WHO grade IV) glioma specimens were sequentially collected from one single patient. Gene expression of different tumor specimens and normal brain tissue of the same patient was compared by microarrary techniques.

RESULTS197 differentially expressed genes with differential ratio > or = 3 were observed when compared with normal brain tissue. When the specimens (3 tumor, 1 normal brain) were paired with each other, 7 groups containing 489 genes (upregulated 193, downregulated 296) were observed. According to the descending frequency of the 109 genes with known function, they were the genes associated with development, metabolism, differentiation, signal transduction, DNA binding transcription, cellular receptor, immunity, ion-channel transportation, protein translation, cell backbone motion, stress, protooncogene and anti-oncogene and cell apoptosis, respectively.

CONCLUSIONFrom the 197 differentially expressed genes found in one glioma patient experiencing tumor malignant progression, 17 genes screened out by bioinformatics assay, may offer valuable information on molecular mechanisms on genesis and malignant progression of glioma.

Brain Neoplasms ; genetics ; pathology ; Gene Expression Profiling ; Glioma ; genetics ; pathology ; Humans ; Oligonucleotide Array Sequence Analysis

Isocitrate dehydrogenase (IDH) is an essential metabolic enzyme in the tricarboxylic acid cycle (TAC). The high mutation frequency of the IDH gene plays a complicated role in gliomas. In addition to affecting gliomas directly, mutations in IDH can also alter their immune microenvironment and can change immune-cell function in direct and indirect ways. IDH mutations mediate immune-cell infiltration and function by modulating immune-checkpoint gene expression and chemokine secretion. In addition, IDH mutation-derived D2-hydroxyglutarate can be absorbed by surrounding immune cells, also affecting their functioning. In this review, we summarize current knowledge about the effects of IDH mutations as well as other gene mutations on the immune microenvironment of gliomas. We also describe recent preclinical and clinical data related to IDH-mutant inhibitors for the treatment of gliomas. Finally, we discuss different types of immunotherapy and the immunotherapeutic potential of IDH mutations in gliomas.
Brain Neoplasms/therapy* ; Glioma/therapy* ; Humans ; Immunotherapy ; Isocitrate Dehydrogenase/genetics* ; Mutation/genetics* ; Tumor Microenvironment

To evaluate the effect of wild-type p53 gene on the growth and radiotherapeutic sensitivity of human glioma cells, plasmid PC53-SN3 carrying wild-type p53 gene was transfected into U251 cells. p53 gene expression in transfected cells was detected by RT-PCR, and the cell growth inhibition and apoptosis in the absence or presence of irradiation were assessed by MTT and flow cytometry. The transfection of p53 gene into U251 cells was confirmed by RT-PCR. MTT showed that p53 gene alone induced strong inhibitory effect on the growth of U251 cells (inhibition rate (IR), (79.60 +/- 5.69)%). The killing effect of irradiation alone on U251 cells was not strong (IR: (17.06 +/- 4.35)% (17.39 +/- 1.67)% (18.73 +/- 4.68)%) and increased with the irradiation doses (3, 6, 9 Gy). When combined treatment of wild-type p53 gene transfection and irradiation was used, the effect was significantly increased (IR:(80.60 +/- 5.35)%. (90.30 +/- 1.67)%, (91.30 +/- 2.01)%). The apoptosis rate of U251 cells induced by p53 gene transfection was 17.38%. The rate induced by irradiation increased (4.61%, 4.84%, 5.40%) with the irradiation doses (3, 6, 9 Gy). The apoptosis rate was also significantly increased (17.80%, 20.03%, 22.34%) after combined treatment of p53 and irradiation with different doses (3, 6, 9 Gy). It is concluded that wild-type p53 gene and irradiation could result in synergistic inhibitory effect on the growth of human glioma cells.
Apoptosis/*radiation effects ; Brain Neoplasms/genetics ; Brain Neoplasms/*pathology ; Genes, p53/*radiation effects ; Glioma/genetics ; Glioma/*pathology ; Transfection ; Tumor Cells, Cultured

Objective: To investigate the clinicopathological features of pediatric diffuse midline glioma with H3K27 alteration and to analyze their relationship with prognosis. Methods: Forty-one cases of childhood diffuse midline glioma with H3K27 alteration were collected at Children's Hospital of Fudan University (39 cases) and Xi'an Children's Hospital (2 cases), from July 2016 to July 2020. The clinical manifestations, imaging data, histopathology, immunohistochemical phenotype and molecular genetics features, tumor size, site and histological grading were evaluated. Results: Among the 41 cases, 21 were males and 20 females, the age of onset was 3-14 years, the average and median age was 7.6 years and 7.0 years, respectively. The tumor sites were brain stem (n=36) and other locations (n=5). The clinical manifestations were dizziness, gait disturbance, and limb weakness, etc. The MRI features were variable. The histology varied from low-grade to high-grade glioma with neuron differentiation. Immunohistochemistry showed that the tumor cells expressed H3K27M, GFAP, and Olig2. Genetic study showed that 76% (16/21) of tumors had H3F3A gene mutation, mostly accompanied by TP53 (62%, 13/21) missense mutation; five tumors (24%, 5/21) had HIST1H3B gene mutation, accompanied by missense mutations in ACVR1 and PI3K pathway-related gene PIK3CA (4/5) and PIK3R1 (1/5) mutations. The prognosis was dismal with only one alive and others died. The average and median overall survival time was 7 months and 4 months, respectively. Cox multivariate regression analysis showed that age, tumor location, radiologically maximum tumor diameter, histologic grading, and surgical methods were not significantly associated with overall survival rate (P>0.05). Conclusions: Pediatric diffuse midline gliomas with H3K27 alteration have unique clinicopathological and genetic characteristics. The prognosis is poor. The tumor location and histopathologic grading are not related to prognosis. New specific drugs and comprehensive treatment are needed to improve the prognosis.
Adolescent ; Brain Neoplasms/genetics* ; Child ; Child, Preschool ; Female ; Glioma/pathology* ; Histones/genetics* ; Humans ; Male ; Phosphatidylinositol 3-Kinases/genetics* ; Prognosis

BACKGROUND: Mixed gliomas, such as oligoastrocytomas (OA), anaplastic oligoastrocytomas, and glioblastomas (GBMs) with an oligodendroglial component (GBMO) are defined as tumors composed of a mixture of two distinct neoplastic cell types, astrocytic and oligodendroglial. Recently, mutations ATRX and TP53, and codeletion of 1p/19q are shown to be genetic hallmarks of astrocytic and oligodendroglial tumors, respectively. Subsequent molecular analyses of mixed gliomas preferred the reclassification to either oligodendroglioma or astrocytoma. This study was designed to apply genetically integrated diagnostic criteria to mixed gliomas and determine usefulness and prognostic value of new classification in Korean patients. METHODS: Fifty-eight cases of mixed OAs and GBMOs were retrieved from the pathology archives of Seoul National University Hospital from 2004 to 2015. Reclassification was performed according to genetic and immunohistochemical properties. Clinicopathological characteristics of each subgroup were evaluated. Overall survival was assessed and compared between subgroups. RESULTS: We could reclassify all mixed OAs and GBMOs into either astrocytic or oligodendroglial tumors. Notably, 29 GBMOs could be reclassified into 11 cases of GBM, IDH-mutant, 16 cases of GBM, IDH-wildtype, and two cases of anaplastic oligodendroglioma, IDH mutant. Overall survival was significantly different among these new groups (p<.001). Overall survival and progression-free survival were statistically better in gliomas with IDH mutation, ATRX mutation, no microscopic necrosis, and young patient age (cut off, 45 years old). CONCLUSIONS: Our results strongly suggest that a genetically integrated diagnosis of glioma better reflects prognosis than former morphology-based methods.
Astrocytoma ; Classification ; Diagnosis ; Disease-Free Survival ; Genetics ; Glioblastoma ; Glioma ; Humans ; Necrosis ; Oligodendroglioma ; Pathology ; Prognosis ; Seoul

Brain Neoplasms ; pathology ; physiopathology ; DNA Repair ; genetics ; Glioma ; pathology ; physiopathology ; Humans ; Statistics as Topic ; Targeted Gene Repair

OBJECTIVE: To develop a noninvasive method for prediction of 1p/19q codeletion in diffuse lower-grade glioma (DLGG) based on multimodal magnetic resonance imaging (MRI) radiomics. METHODS: We collected MRI data from 104 patients with pathologically confirmed DLGG between October, 2015 and September, 2022. A total of 535 radiomics features were extracted from T₂WI, T₁WI, FLAIR, CE-T₁WI and DWI, including 70 morphological features, 90 first order features, and 375 texture features. We constructed logistic regression (LR), logistic regression least absolute shrinkage and selection operator (LRlasso), support vector machine (SVM) and Linear Discriminant Analysis (LDA) radiomics models and compared their predictive performance after 10-fold cross validation. The MRI images were reviewed by two radiologists independently for predicting the 1p/19q status. Receiver operating characteristic curves were used to evaluate classification performance of the radiomics models and the radiologists. RESULTS: The 4 radiomics models (LR, LRlasso, SVM and LDA) achieved similar area under the curve (AUC) in the validation dataset (0.833, 0.819, 0.824 and 0.819, respectively; P>0.1), and their predictive performance was all superior to that of resident physicians of radiology (AUC=0.645, P=0.011, 0.022, 0.016, 0.030, respectively) and similar to that of attending physicians of radiology (AUC=0.838, P>0.05). CONCLUSION Multiparametric MRI radiomics models show good performance for noninvasive prediction of 1p/19q codeletion status in patients with in diffuse lower-grade glioma.
Humans ; Magnetic Resonance Imaging ; Chromosome Aberrations ; Area Under Curve ; Glioma/genetics* ; ROC Curve

OBJECTIVE: To study the correlation between immune cell infiltration in colorectal cancer tissue and clinical prognosis and to explore the levels of some immune cell genes for predicting the prognosis of patients with glioma colorectal cancer. METHODS: In this study, we extracted colorectal cancer data from the cancer genome atlas (TCGA). Based on a deconvolution algorithm (called CIBERSORT) and clinically annotated expression profiles, the analysis assessed the infiltration patterns of 22 immune cells in colorectal cancer tissue to determine the association between each cell type and survival. Differences in five-year survival rate effectively illustrate the clinical prognostic value of each immune cell proportion in colorectal cancer, using a bar graph, correlation-based heatmap to represent the proportion of immune cells in each colorectal cancer sample. RESULTS: A total of 473 colorectal cancer tissues and 41 normal control tissues were extracted from the TCGA database, and the comparative analysis showed that there were differences in the proportion of various TIICs in colorectal cancer tissues, which could characterize individual differences and have prognostic value. Among the cell subsets studied, the proportions of memory B cells, plasma cells, CD4⁺ T cells, natural killer (NK) cells, M0 macrophages, M2 macrophages, and activated mast cells were significantly different between normal and cancer tissues. Resting NK cells, CD8⁺ T cells, and plasma cells were associated with T phase, activated dendritic cells were associated with N phase, and eosinophils, M1 macrophages, and activated mast cells were associated with M phase. Survival analysis showed that activated dendritic cells were positively associated with five-year survival rate in colorectal cancer patients. Naive CD4⁺ T cells were inversely associated with five-year survival rate. CONCLUSION There are different degrees of immune cell infiltration in colorectal cancer tissues, and these differences may be important determinants of prognosis and treatment response. We conducted a new gene expression-based study of immune cell subtype levels and prognosis in colorectal cancer, which has potential clinical prognostic value in colorectal cancer patients.
CD8-Positive T-Lymphocytes ; Colorectal Neoplasms/genetics* ; Glioma ; Humans ; Macrophages ; Prognosis

OBJECTIVES: Glioma is the most common malignant tumor in the central nervous system, and the hypoxic microenvironment is prevalent in solid tumors. This study aims to investigate the up-regulation of genes under the condition of hypoxia and their roles in glioma growth, as well as their impact on glioma prognosis. METHODS: The hypoxia-related dataset with glioma was screened in the Gene Expression Omnibus database (GEO), and the differentially expressed genes were analyzed between hypoxia and normoxia through bioinformatics, and chromosome 10 open reading frame 10 (C10orf10) was verified and screened in hypoxia-treated cells through real-time PCR and Western blotting. The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) datasets were downloaded to analyze the mRNA expression of C10orf10 in different grades of glioma and its impact on prognosis. The glioma specimens and follow-up data of 68 gliomas who underwent surgical treatment in Xiangya Hospital of Central South University from March 2017 to January 2021 were collected, and real-time PCR was used to detect the mRNA expression of C10orf10 in different grades of glioma, and the Kaplan-Meier method was used to analyze the relationship between the expression C10orf10 and prognosis. The glioma cells, which could interfere the expression of C10orf10, were constructed, and the effect of C10orf10 on the proliferation of glioma cells was evaluated by cell counting kit-8 (CCK-8) and colony formation assays. RESULTS: Compared with the condition of normoxia, the expression levels of C10orf10 mRNA and protein were significantly up-regulated in glioma cells under hypoxia (P<0.001), and the mRNA expression level of C10orf10 in glioma tissues was up-regulated with the increase of WHO grade in glioma (P<0.001). Based on Kaplan-Meier survival analysis, the higher the mRNA expression level of C10orf10 was, the shorter the survival time of the patient was (P<0.05). And the expression of C10orf10 mRNA was higher in recurrent gliomas than that in primary gliomas in the CGGA database (P<0.001). Knockdown of C10orf10 could significantly inhibit the growth of glioma cells both under hypoxia and normoxia (both P<0.001). CONCLUSIONS The expression level of C10orf10 can promote the proliferation and prognosis of glioma, which is expected to become a prognostic marker and therapeutic target for glioma.
Humans ; Central Nervous System ; Glioma/genetics* ; Hypoxia ; Neoplasm Recurrence, Local ; Prognosis ; Tumor Microenvironment