Hypomethylation of CNTFR? is associated with proliferation and poor prognosis in lower grade gliomas.
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ABSTRACT:
SUBMITTER: Fan K
PROVIDER: S-EPMC5539284 | biostudies-literature | 2017 Aug
REPOSITORIES: biostudies-literature
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Hypomethylation of CNTFRα is associated with proliferation and poor prognosis in lower grade gliomas.
Fan Kun K Wang Xiaowen X Zhang Jingwen J Ramos Romela Irene RI Zhang Haibo H Li Chunjie C Ye Dan D Kang Jiansheng J Marzese Diego M DM Hoon Dave S B DSB Hua Wei W
Scientific reports 20170801 1
Ciliary neurotrophic factor receptor α subunit (CNTFRα) and CNTF play important roles in neuron survival, glial differentiation and brain tumor growth. However, the molecular mechanisms of CNTFRα regulation and its clinical significance in glioma remain largely unknown. Here, we found CNTFRα was overexpressed in lower grade gliomas (LGG) compared with glioblastoma (GBM) and normal brain specimens in TCGA datasets and in an independent cohort. Bioinformatics analysis revealed a CpG shore of the C ...[more]
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Project description:Background: Lower-grade glioma (LGG) is the most common histology identified in gliomas, a heterogeneous tumor that may develop into high-grade malignant glioma that seriously shortens patient survival time. Recent studies reported that glutamatergic synapses might play an essential role in the progress of gliomas. However, the role of glutamatergic synapse-related biomarkers in LGG has not been systemically researched yet. Methods: The mRNA expression data of glioma and normal brain tissue were obtained from The Cancer Genome Atlas database and Genotype-Tissue Expression, respectively, and the Chinese Glioma Genome Atlas database was used as a validation set. Difference analysis was performed to evaluate the expression pattern of glutamatergic synapse-related genes (GSRGs) in LGG. The least absolute shrinkage and selection operator (LASSO) Cox regression was applied to construct the glutamatergic synapse-related risk signature (GSRS), and the risk score of each LGG sample was calculated based on the coefficients and expression value of selected GSRGs. Univariate and multivariate Cox regression analyses were used to investigate the prognostic value of risk score. Immunity profile and single-sample gene set enrichment analysis (ssGSEA) were performed to explore the association between risk score and the characters of tumor microenvironment in LGG. Gene set variation analysis (GSVA) was performed to investigate the potential pathways related to GSRS. The HPA database and real-time PCR were used to identify the expression of hub genes identified in GSRS. Results: A total of 22 genes of 39 GSRGs were found differentially expressed among normal and LGG samples. Through the LASSO algorithm, 14-genes GSRS constructed were associated with the prognosis and clinicopathological features of patients with LGG. Furthermore, the risk score level was significantly positively correlated with the infiltrating level of immunosuppressive cells, including M2 macrophages and regulatory T cells. GSVA identified a series of cancer-related pathways related to GSRS, such as P13K-AKT and P53 pathways. Moreover, ATAD1, NLGN2, OXTR, and TNR, hub genes identified in GSRS, were considered as potential prognostic biomarkers in LGG. Conclusion: A 14-genes GSRS was constructed and verified in this study. We provided a novel insight into the role of GSRS in LGG through a series of bioinformatics methods.
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Project description:ObjectiveMitochondrial genome maintenance exonuclease 1 (MGME1) is associated with DNA depletion, deletion, duplication, and rearrangement. However, the function of MGME1 in tumors, especially lower-grade gliomas (LGGs), has not been established.MethodsPan-cancer analysis was used to define the expression patterns and prognostic value of MGME1 in various cancers. Subsequently, we systematically determined the associations between MGME1 expression and clinicopathological characteristics, prognosis, biological functions, immune characteristics, genomic mutations, and therapeutic responses of LGGs based on their expression patterns. The expression level and specific functions of MGME1 in LGGs was detected by conducting in vitro experiments.ResultsAbnormally enhanced and high MGME1 expressions were associated with poor prognoses of various tumors, including LGG. Multivariate and univariate Cox regression analyses manifested that MGME1 expression was an independent prognostic biomarker for LGG. The immune-related signatures, infiltration of immune cells, immune checkpoint genes (ICPGs), copy number alteration (CNA), tumor mutation burden (TMB), and treatment responses of LGG patients were associated with the expression of MGME1. The in vitro experiments affirmed that MGME1 was elevated and tightly connected with the cell proliferation and cell cycle in LGG.ConclusionsMGME1 is an independent prognostic biomarker and closely related to the cell proliferation in LGG.
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Project description:Cornichon family AMPA receptor auxiliary protein 4 (CNIH4) functions as an oncogene in several types of tumor. Nevertheless, the potential function of CNIH4 in lower-grade glioma (LGG) remains unclear. Pan-cancer analysis was implemented to comprehensively explore CNIH4 expression patterns and prognostic value in multiple cancers. Further, a systematic investigation of correlations between CNIH4 expression and clinical features, prognosis, biological functions, immune properties, genomic mutations, and treatment response was conducted, based on LGG expression patterns. CNIH4 expression levels and specific roles in LGG were also evaluated using in vitro experiments. Aberrant CNIH4 overexpression was detected in various tumors, and higher CNIH4 expression was linked with inferior prognosis, including in patients with LGG. Univariate and multivariate Cox regression analysis indicated that CNIH4 expression was an independent prognostic biomarker in patients with LGG. Our data also revealed that CNIH4 expression was strongly related to immune-associated signatures, immune cell infiltration, immune checkpoint genes, copy number alteration burden, tumor mutation burden, and treatment response in patients with LGG. In vitro experiments confirmed that CNIH4 was unusually elevated and crucial for cell proliferation, migration, invasion and cell cycle regulation in LGG. Together, our data validate CNIH4 may be an independent prognostic biomarker that could serve as a novel therapeutic target for improvement of prognosis in patients with LGG.
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Project description:Lower-grade gliomas (LGGs), which are uniformly fatal in young adults, are classified as grades II-III tumors according to their histological features. The NFκB transcription factor, a crucial player in cancer initiation and progression, is inactivated in the cytoplasm by inhibitory proteins (IκBs) that have been shown to exert tumor-suppressor activity. Therefore, using The Cancer Genome Atlas copy number alteration and RNA-Seq data from 398 patients, we evaluated the association between the expression and dosage of NFKBIA, which encodes IκBα, and the overall malignancy of LGGs. Deletion and low expression of NFKBIA were associated with enhanced tumor aggressiveness and poor prognosis in LGGs. Accordingly, the dosage and expression of NFKBIA were independent prognostic factors for 5-year survival (dosage: P = 0.016; expression: P = 0.002) and 5-year recurrence-free survival (dosage: P = 0.009; expression: P = 0.005). Moreover, gene set enrichment analyses and co-expression network analyses indicated a role for NFKBIA in the negative regulation of cell proliferation, possibly through the modulation of downstream NFκB activation. Overall, the present findings reveal the prognostic value of NFKBIA in LGGs, reinforcing the relevance of NFκB signaling in the development and progression of gliomas.
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| S-EPMC6377997 | biostudies-literature
Project description:To elucidate the mechanisms of malignant progression of lower-grade glioma, molecular profiling using methylation array, whole-exome sequencing, and RNA sequencing was performed for 122, 36 and 31 gliomas, respectively. This cohort included 24 matched pairs of initial lower-grade gliomas and recurrent tumors, most of which showed malignant progression. Nearly half of IDH-mutant glioblastomas that had progressed from lower-grade gliomas exhibited characteristic partial DNA demethylation in previously methylated genomic regions of their corresponding initial tumors, which had the glioma CpG island methylator phenotype (G-CIMP). In these glioblastomas, cell cycle-related genes, RB and PI3K-AKT pathway genes were frequently altered. Notably, late-replicating domain was significantly enriched in the demethylated regions that were mostly located in non-regulatory regions, suggesting that the loss of DNA methylation during malignant transformation may involve mainly passive demethylation due to a delay in maintenance of methylation during accelerated cell division. Nonetheless, a limited number of genes including IGF2BP3, which potentially drives cell proliferation, were presumed to be upregulated due to demethylation of their promoter. Our data indicated that demethylation of the G-CIMP profile found in a subset of recurrent gliomas reflects accelerated cell divisions accompanied by malignant transformation. Oncogenic genes activated by such epigenetic change represent potential therapeutic targets.
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