Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: UMLS:C0017636 (glioblastoma)
 18,345 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Gliomas represent the largest group of primary brain tumors in adults. The astrocytic variants are the most common and the adult forms are histologically stratified into three malignancy grades. Of these glioblastoma is the most common and the most malignant; it has also been best studied by molecular genetics and cytogenetics. Double-minute chromosomes, known to represent amplified genes, are found in 50% of glioblastomas. Amplified genes are not detected in the most benign of the astrocytomas. Many genes have been shown to be amplified in more than single cases of gliomas and these include EGFR, CDK4, SAS, MDM2, GLI, PDGFAR, MYC, N MYC, MYCL1, MET, GADD153, and KIT. The most commonly amplified genes in glioblastomas are EGFR (in approximately 40%), CDK4, and SAS (in approximately 15%). The remainder of the genes are amplified at lower frequency. The best mapped amplicon in gliomas involves the 12q13-14 region. The amplicon is of undetermined size, encompasses a number of genes, and may be rearranged. It occurs in 15% of glioblastomas and almost always includes the CDK4 and SAS genes, in about 10% of tumors the MDM2 gene, and at lower frequency GLI, GADD153, and A2MR. All but A2MR are overexpressed if amplified. The amplified EGFR gene is frequently rearranged, resulting in changes in the regions of the transcript that codes for the extracellular domain. The resultant receptor is constitutively activated. These findings provide examples of the impact the use of modern molecular biological techniques has had on our understanding of oncogenic mechanisms in gliomas.
 ...
PMID:Gene amplification in human gliomas. 858 64

MYCN belongs to the MYC family of proto-oncogenes, which encode for transcription factors of the basic-helix-loop-helix-zipper (bHLHZ) class and is fundamental in the development of the peripheral and central nervous systems (PNS and CNS). While Myc is ubiquitous, MYCN has a very restricted expression pattern: it is mainly expressed during embryonic development, but then becomes downregulated, while in adults it is usually detected in B-cell development. Identification of selective inhibitors of MYCN and its mRNA and protein could be important for the development of more specific, effective and less toxic therapeutic agents for tumors of the PNS and CNS. In children, the most common tumors of the PNS and CNS are neuroblastomas and medulloblastomas, respectively. About 30% of neuroblastoma (NB) tumors present MYCN amplification/over-expression, which is associated with rapid progression and poor prognosis. N-Myc is essential during neurogenesis for the rapid expansion of progenitor cells in the brain. MYCN amplification and over-expression has been reported in medulloblastoma, and especially in the desmoplastic type. Other tumors associated with MYCN overexpression include retinoblastoma, small cell lung carcinoma, glioblastoma and certain embryonal tumors. A cell-based, N-Myc-dependent luciferase reporter gene assay to identify specific N-Myc small-molecule inhibitors has allowed identification of five compounds showing significant activity. Antisense oligodeoxynucleotides have been shown to inhibit N-Myc production and anti-tumoral activity in vitro and in vivo for NB. Peptide nucleic acids (PNA), which belong to the most recent (third) generation of nucleic acid therapeutics, form highly stable duplexes with DNA and RNA, and are resistant to degradation by nucleases and proteases. Encouraging results have been reported utilizing a PNA-based antisense strategy for inhibition of N-Myc expression in neuroblastoma.
 ...
PMID:The MYCN oncogene as a specific and selective drug target for peripheral and central nervous system tumors. 1597 48

Gene expression profiling has proven useful in subclassification and outcome prognostication for human glial brain tumors. The analysis of biological significance of the hundreds or thousands of alterations in gene expression found in genomic profiling remains a major challenge. Moreover, it is increasingly evident that genes do not act as individual units but collaborate in overlapping networks, the deregulation of which is a hallmark of cancer. Thus, we have here applied refined network knowledge to the analysis of key functions and pathways associated with gliomagenesis in a set of 50 human gliomas of various histogenesis, using cDNA microarrays, inferential and descriptive statistics, and dynamic mapping of gene expression data into a functional annotation database. Highest-significance networks were assembled around the myc oncogene in gliomagenesis and around the integrin signaling pathway in the glioblastoma subtype, which is paradigmatic for its strong migratory and invasive behavior. Three novel MYC-interacting genes (UBE2C, EMP1, and FBXW7) with cancer-related functions were identified as network constituents differentially expressed in gliomas, as was CD151 as a new component of a network that mediates glioblastoma cell invasion. Complementary, unsupervised relevance network analysis showed a conserved self-organization of modules of interconnected genes with functions in cell cycle regulation in human gliomas. This approach has extended existing knowledge about the organizational pattern of gene expression in human gliomas and identified potential novel targets for future therapeutic development.
 ...
PMID:Functional network analysis reveals extended gliomagenesis pathway maps and three novel MYC-interacting genes in human gliomas. 1620 36

The product of the MYC oncogene is widely deregulated in cancer and functions as a regulator of gene transcription. Despite an extensive profile of regulated genes, the transcriptional targets of c-Myc essential for transformation remain unclear. In this study, we show that c-Myc significantly induces the expression of the H19 noncoding RNA in diverse cell types, including breast epithelial, glioblastoma, and fibroblast cells. c-Myc binds to evolutionarily conserved E-boxes near the imprinting control region to facilitate histone acetylation and transcriptional initiation of the H19 promoter. In addition, c-Myc down-regulates the expression of insulin-like growth factor 2 (IGF2), the reciprocally imprinted gene at the H19/IGF2 locus. We show that c-Myc regulates these two genes independently and does not affect H19 imprinting. Indeed, allele-specific chromatin immunoprecipitation and expression analyses indicate that c-Myc binds and drives the expression of only the maternal H19 allele. The role of H19 in transformation is addressed using a knockdown approach and shows that down-regulation of H19 significantly decreases breast and lung cancer cell clonogenicity and anchorage-independent growth. In addition, c-Myc and H19 expression shows strong association in primary breast and lung carcinomas. This work indicates that c-Myc induction of the H19 gene product holds an important role in transformation.
 ...
PMID:The c-Myc oncogene directly induces the H19 noncoding RNA by allele-specific binding to potentiate tumorigenesis. 1670 59

Colorectal cancer (CRC) is a major cause of cancer morbidity and mortality, and elucidation of its underlying genetics has advanced diagnostic screening, early detection, and treatment. Because CRC genomes are characterized by numerous non-random chromosomal structural alterations, we sought to delimit regions of recurrent amplifications and deletions in a collection of 42 primary specimens and 37 tumor cell lines derived from chromosomal instability neoplasia and microsatellite instability neoplasia CRC subtypes and to compare the pattern of genomic aberrations in CRC with those in other cancers. Application of oligomer-based array-comparative genome hybridization and custom analytic tools identified 50 minimal common regions (MCRs) of copy number alterations, 28 amplifications, and 22 deletions. Fifteen were highly recurrent and focal (<12 genes) MCRs, five of them harboring known CRC genes including EGFR and MYC with the remaining 10 containing a total of 65 resident genes with established links to cancer. Furthermore, comparisons of these delimited genomic profiles revealed that 22 of the 50 CRC MCRs are also present in lung cancer, glioblastoma, and/or multiple myeloma. Among 22 shared MCRs, nine do not contain genes previously shown genetically altered in cancer, whereas the remaining 13 harbor 35 known cancer genes, of which only 14 have been linked to CRC pathogenesis. Together, these observations point to the existence of many yet-to-be discovered cancer genes driving CRC development, as well as other human cancers, and show the utility of high-resolution copy number analysis in the identification of genetic events common and specific to the development of various tumor types.
 ...
PMID:Common and distinct genomic events in sporadic colorectal cancer and diverse cancer types. 1800 16

The relative risk for the development of malignancies following solid organ transplantation seems to be decreased in patients treated with the immunosuppressive agent mycophenolic acid (MPA). However, the molecular mechanisms of the antineoplastic effects of MPA are not completely understood. Here, we report that human endothelial cells and fibroblasts are highly sensitive to MPA treatment. We found that U87 glioblastoma cells were resistant to MPA treatment in vitro. However, U87 tumor growth was markedly inhibited in vivo in BALB/c nude mice, suggesting that MPA exerted its antitumor effects via modulation of the tumor microenvironment. Accordingly, microvascular density and pericyte coverage were markedly reduced in MPA-treated tumors in vivo. Using functional in vitro assays, we showed that MPA potently inhibited endothelial cell and fibroblast proliferation, invasion/migration, and endothelial cell tube formation. To identify the genetic participants governing the antiangiogenic and antifibrotic effects of MPA, we performed genome-wide transcriptional analysis in U87, endothelial and fibroblast cells at 6 and 12 h after MPA treatment. Network analysis revealed a critical role for MYC signaling in endothelial cells treated with MPA. Moreover, we found that the antiangiogenic effects of MPA were organized by coordinated communications between MYC and NDRG1, YYI, HIF1A, HDAC2, CDC2, GSK3B, and PRKACB signaling. The regulation of these "hub nodes" was confirmed by real-time quantitative reverse transcription-PCR and protein analysis. The critical involvement of MYC in the antiangiogenic signaling of MPA was further shown by gene knockdown experiments. Together, these data provide a molecular basis for the antiangiogenic and antifibrotic effects of MPA, which warrants further clinical investigations.
 ...
PMID:Molecular mechanisms of the antiangiogenic and antitumor effects of mycophenolic acid. 1856 37

Cellular energy metabolism is one of the main processes affected during the transition from normal to cancer cells, and it is a crucial determinant of cell proliferation or cell death. As a support for rapid proliferation, cancer cells choose to use glycolysis even in the presence of oxygen (Warburg effect) to fuel macromolecules for the synthesis of nucleotides, fatty acids, and amino acids for the accelerated mitosis, rather than fuel the tricarboxylic acid cycle and oxidative phosphorylation. Mitochondria biogenesis is also reprogrammed in cancer cells, and the destiny of those cells is determined by the balance between energy and macromolecule supplies, and the efficiency of buffering of the cumulative radical oxygen species. In glioblastoma, the most frequent and malignant adult brain tumor, a metabolic shift toward aerobic glycolysis is observed, with regulation by well known genes as integrants of oncogenic pathways such as phosphoinositide 3-kinase/protein kinase, MYC, and hypoxia regulated gene as hypoxia induced factor 1. The expression profile of a set of genes coding for glycolysis and the tricarboxylic acid cycle in glioblastoma cases confirms this metabolic switch. An understanding of how the main metabolic pathways are modified by cancer cells and the interactions between oncogenes and tumor suppressor genes with these pathways may enlighten new strategies in cancer therapy. In the present review, the main metabolic pathways are compared in normal and cancer cells, and key regulations by the main oncogenes and tumor suppressor genes are discussed. Potential therapeutic targets of the cancer energetic metabolism are enumerated, highlighting the astrocytomas, the most common brain cancer.
 ...
PMID:Metabolism and brain cancer. 2177 21

MicroRNAs (miRNAs) are increasingly implicated in regulating cancer initiation and progression. In this study, two miRNAs, miR-25 and -32, are identified as p53-repressed miRNAs by p53-dependent negative regulation of their transcriptional regulators, E2F1 and MYC. However, miR-25 and -32 result in p53 accumulation by directly targeting Mdm2 and TSC1, which are negative regulators of p53 and the mTOR (mammalian target of rapamycin) pathway, respectively, leading to inhibition of cellular proliferation through cell cycle arrest. Thus, there is a recurrent autoregulatory circuit involving expression of p53, E2F1, and MYC to regulate the expression of miR-25 and -32, which are miRNAs that, in turn, control p53 accumulation. Significantly, overexpression of transfected miR-25 and -32 in glioblastoma multiforme cells inhibited growth of the glioblastoma multiforme cells in mouse brain in vivo. The results define miR-25 and -32 as positive regulators of p53, underscoring their role in tumorigenesis in glioblastoma.
 ...
PMID:MicroRNAs/TP53 feedback circuitry in glioblastoma multiforme. 2243 89

The overexpression of MYC, which occurs in many tumors, dramatically disrupts the equilibrium between activation and repression of the oncogenic MYC/MYC-associated protein X (MAX)/MAX dimerization protein 1 (MXD1) network, favoring MYC-MAX complexes and thereby impairing differentiation and promoting cell growth. Although for some time it has appeared that MAX is necessary for both the activation and repression of the axis, recent evidence shows that MYC retains considerable biologic function in the absence of MAX. The presence of germline MAX mutations in patients with hereditary pheochromocytoma supports the predominant role of MAX as a negative regulator of the network and suggests that MYC deregulation plays a role in hereditary cancer predisposition. This finding also confirms the importance of impairment of the MYC/MAX/MXD1 axis in the development of aggressive neural tumors, because MYCN overexpression is an established genetic hallmark of malign neuroblastoma, and it is likely that MXI1 plays a relevant role in the development of medulloblastoma and glioblastoma. Finally, the likely malignant behavior of tumors with mutations in MAX points to MYC as a candidate therapeutic target in the treatment of metastatic pheochromocytoma.
 ...
PMID:MAX and MYC: a heritable breakup. 2270 1

Gene expression profiles can show significant changes when genetically diseased cells are compared with non-diseased cells. Biological networks are often used to identify active subnetworks (ASNs) of the diseases from the expression profiles to understand the reason behind the observed changes. Current methodologies for discovering ASNs mostly use undirected PPI networks and node centric approaches. This can limit their ability to find the meaningful ASNs when using integrated networks having comprehensive information than the traditional protein-protein interaction networks. Using appropriate scoring functions to assess both genes and their interactions may allow the discovery of better ASNs. In this paper, we present CASNet, which aims to identify better ASNs using (i) integrated interaction networks (mixed graphs), (ii) directions of regulations of genes, and (iii) combined node and edge scores. We simplify and extend previous methodologies to incorporate edge evaluations and lessen their sensitivity to significance thresholds. We formulate our objective functions using mixed integer programming (MIP) and show that optimal solutions may be obtained. We compare the ASNs obtained by CASNet and similar other approaches to show that CASNet can often discover more meaningful and stable regulatory ASNs. Our analysis of a breast cancer dataset finds that the positive feedback loops across 7 genes, AR, ESR1, MYC, E2F2, PGR, BCL2 and CCND1 are conserved across the basal/triple negative subtypes in multiple datasets that could potentially explain the aggressive nature of this cancer subtype. Furthermore, comparison of the basal subtype of breast cancer and the mesenchymal subtype of glioblastoma ASNs shows that an ASN in the vicinity of IL6 is conserved across the two subtypes. This result suggests that subtypes of different cancers can show molecular similarities indicating that the therapeutic approaches in different types of cancers may be shared.
 ...
PMID:Discovery and analysis of consistent active sub-networks in cancers. 2336 93


1 2 3 4 Next >>