Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0017638 (glioma)
 30,880 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The case of a 58-year-old white man with a history of high blood pressure and chronic obstructive pulmonary disease who developed double vision followed by right-sided facial paralysis is reported. A computerized axial tomogram (CT) scan showed an enhancing lesion in the pontine tegmentum, and the diagnoses of pontine glioma or hemorrhage were considered. Physical findings were limited to the cranial nerves. Conservative management with Decadron for 3 weeks resulted in a prompt clinical improvement, and a CT scan 1 month later showed resolution of the lesion, effectively ruling out a glioma. Total clinical recovery occurred at the end of 6 months. To our knowledge this is the first report of a case of Fisher one-and-a-half syndrome with facial paralysis correlated with computed tomography.
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PMID:Pontine hemorrhage causing Fisher one-and-a-half syndrome with facial paralysis. 622 96

Point mutations in isocitrate dehydrogenase 1 (IDH1) have been identified in many gliomas. The detection of IDH1 mutations becomes challenging on suboptimal glioma biopsies when a limited number of tumor cells is available for analysis. Coamplification at lower denaturing-polymerase chain reaction (COLD-PCR) is a PCR technique that deliberately lowers the denaturing cycle temperature to selectively favor amplification of mutant alleles, allowing for the sensitive detection of low-abundance mutations. We developed a novel COLD-PCR assay on the LightCycler platform (Roche, Applied Science, Indianapolis, IN), using post-PCR fluorescent melting curve analysis (FMCA) for the detection of mutant IDH1 with a detection limit of 1%. Thirty-five WHO grade I to IV gliomas and 9 non-neoplastic brain and spinal cord biopsies were analyzed with this technique and the results were compared with the conventional real-time PCR and the Sanger sequencing analysis. COLD-PCR/FMCA was able to detect the most common IDH1 R132H mutation and rare mutation types including R132H, R132C, R132L, R132S, and R132G mutations. Twenty-five glioma cases were positive for IDH1 mutations by COLD-PCR/FMCA, and 23 gliomas were positive by the conventional real-time PCR and Sanger sequencing. A pilocytic astrocytoma (PA I) and a glioblastoma multiforme (GBM IV) showed low-abundance IDH1 mutations detected by COLD-PCR/FMCA. The remaining 10 glioma and 9 non-neoplastic samples were negative by all the 3 methods. In summary, we report a novel COLD-PCR/FMCA method that provides rapid and sensitive detection of IDH1 mutations in formalin-fixed paraffin-embedded tissue and can be used in the clinical setting to assess the small brain biopsies.
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PMID:A novel COLD-PCR/FMCA assay enhances the detection of low-abundance IDH1 mutations in gliomas. 2337 Apr 30

Aberrant hypo-methylation of DNA is evident in a range of human diseases including cancer and diabetes. Development of sensitive assays capable of detecting traces of un-methylated DNA within methylated samples can be useful in several situations. Here we describe a new approach, fast-COLD-MS-PCR, which amplifies preferentially un-methylated DNA sequences. By employing an appropriate denaturation temperature during PCR of bi-sulfite converted DNA, fast-COLD-MS-PCR enriches un-methylated DNA and enables differential melting analysis or bisulfite sequencing. Using methylation on the MGMT gene promoter as a model, it is shown that serial dilutions of controlled methylation samples lead to the reliable sequencing of un-methylated sequences down to 0.05% un-methylated-to-methylated DNA. Screening of clinical glioma tumor and infant blood samples demonstrated that the degree of enrichment of un-methylated over methylated DNA can be modulated by the choice of denaturation temperature, providing a convenient method for analysis of partially methylated DNA or for revealing and sequencing traces of un-methylated DNA. Fast-COLD-MS-PCR can be useful for the detection of loss of methylation/imprinting in cancer, diabetes or diet-related methylation changes.
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PMID:COLD-PCR amplification of bisulfite-converted DNA allows the enrichment and sequencing of rare un-methylated genomic regions. 2472 21

Glioma therapeutic resistance to alkylating chemotherapy is mediated via O6-methylguanine-DNA methyltransferase (MGMT). We hypothesized that a CD45/HAM56/MGMT double-stained cocktail would improve MGMT discrimination in tumor cells versus inflammatory and endothelial cells (IEC). Total MGMT protein was quantified by IHC on 982 glioblastomas (GBM) and 199 anaplastic astrocytomas. Correcting for IEC was done by a CD45/HAM56/MGMT 2-color cocktail. Lowest IEC infiltrates (IEC "cold spots") were identified to quantitate MGMT as well as the percentage of IEC% in the IEC cold spots. MGMT promoter methylation (PM) was also determined. Among the GBM biopsies, mean uncorrected and corrected MGMT% were 19.87 (range 0-90) and 16.67; mean IEC% was 18.65 (range 1-80). Four hundred and fifty one (45.9%) GBM biopsies were positive MGMT PM. Both uncorrected and corrected MGMT% positivity correlated with PM. All 3 MGMT scores correlated with overall survival (OS) in GBM's. Cold spot IEC% was also positively associated with OS. These effects remained in a multivariate model after adjusting for age and disease status. Prognosis determined by correcting MGMT% score for IEC% is not improved in this analysis. However, IEC COLD SPOT score does provide additional prognostic information that can be gained from this correction method.
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PMID:MGMT: Immunohistochemical Detection in High-Grade Astrocytomas. 3050 Sep 33

Non-coding RNAs occupy a significant fraction of the human genome. Their biological significance is backed up by a plethora of emerging evidence. One of the most robust approaches to demonstrate non-coding RNA's biological relevance is through their prognostic value. Using the rich gene expression data from The Cancer Genome Altas (TCGA), we designed Advanced Expression Survival Analysis (AESA), a web tool which provides several novel survival analysis approaches not offered by previous tools. In addition to the common single-gene approach, AESA computes the gene expression composite score of a set of genes for survival analysis and utilizes permutation test or cross-validation to assess the significance of log-rank statistic and the degree of over-fitting. AESA offers survival feature selection with post-selection inference and utilizes expanded TCGA clinical data including overall, disease-specific, disease-free, and progression-free survival information. Users can analyse either protein-coding or non-coding regions of the transcriptome. We demonstrated the effectiveness of AESA using several empirical examples. Our analyses showed that non-coding RNAs perform as well as messenger RNAs in predicting survival of cancer patients. These results reinforce the potential prognostic value of non-coding RNAs. AESA is developed as a module in the freely accessible analysis suite MutEx. Abbreviation: ACC: Adrenocortical Carcinoma (n = 92); BLCA: Bladder Urothelial Carcinoma (n = 412); BRCA: Breast Invasive Carcinoma (n = 1098); CESC: Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (n = 307); CHOL: Cholangiocarcinoma (n = 51); COAD: Colon Adenocarcinoma (n = 461); DLBC: Lymphoid Neoplasm Diffuse Large B-cell Lymphoma (n = 58); ESCA: Oesophageal Carcinoma (n = 185); GBM: Glioblastoma Multiforme (n = 617); HNSC: Head and Neck Squamous Cell Carcinoma (n = 528); KICH: Kidney Chromophobe (n = 113); KIRC: Kidney Renal Clear Cell Carcinoma (n = 537); KIRP: Kidney Renal Papillary Cell Carcinoma (n = 291); LAML: Acute Myeloid Leukaemia (n = 200); LGG: Brain Lower Grade Glioma (n = 516); LIHC: Liver Hepatocellular Carcinoma (n = 377); LUAD: Lung Adenocarcinoma (n = 585); LUSC: Lung Squamous Cell Carcinoma (n = 504); MESO: Mesothelioma (n = 87); OV: Ovarian Serous Cystadenocarcinoma (n = 608) PAAD: Pancreatic Adenocarcinoma (n = 185); PCPG: Pheochromocytoma and Paraganglioma (n = 179); PRAD: Prostate Adenocarcinoma (n = 500); READ: Rectum Adenocarcinoma (n = 172); SARC: Sarcoma (n = 261); SKCM: Skin Cutaneous Melanoma (n = 470); STAD: Stomach Adenocarcinoma (n = 443); TGCT: Testicular Germ Cell Tumours (n = 150); THCA: Thyroid Carcinoma (n = 507) THYM: Thymoma (n = 124); UCEC: Uterine Corpus Endometrial Carcinoma (n = 560); UCS: Uterine Carcinosarcoma (n = 57); UVM: Uveal Melanoma (n = 80).
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PMID:Advancing Pan-cancer Gene Expression Survial Analysis by Inclusion of Non-coding RNA. 3160 16