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pmid:32406502

Identification of hub genes related to prognosis in glioma.

Delong Zhang · Jinxia Zhao · Chengzheng Han · Xiaocen Liu · Jun Liu · Hui Yang

Bioscience reports · 2020 doi:10.1042/BSR20193377

Paper

complete

Experiment

partial

Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:32406502
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science-record
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2026-11-01T15:41:01Z
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paper object · 10 fields
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title
Identification of hub genes related to prognosis in glioma.
doi
10.1042/BSR20193377
pmid
32406502
authors array · 6 items
[0]
Delong Zhang
[1]
Jinxia Zhao
[2]
Chengzheng Han
[3]
Xiaocen Liu
[4]
Jun Liu
[5]
Hui Yang
journal
Bioscience reports
year
2020
abstract
Glioma, a common malignant tumor of the central nervous system, has high invasiveness. The objective of the present study was to identify genes playing an important role in the development of glioma and to reveal their potential research value. Conjoint analysis on the GSE16011 dataset in the Gene Expression Omnibus (GEO) database and the 'Messenger RNA Expression Microarray of Diffuse Gliomas and Controls' dataset and 'RNA sequencing of Diffuse Gliomas' dataset in the Chinese Glioma Genome Atlas (CGGA) database is carried out in the study. The weighted correlation network analysis (WGCNA) was used to carry out co-expression analysis on the GSE16011. Finally, 24 genes significantly related to grade and prognosis were obtained. In addition, there is no report about CACNG2, JPH3, TUBB6 (tubulin β 6 class V), NRSN1, FAM19A2, NALCN, CDH18, GNAL on glioma.
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Genes with likelihood test P<0.001 and consistent trends in two datasets were screened, with 2682 genes in total regarded as result C (Figure 4B, additionally shown in Supplementary ResultC.csv).
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sections[14] "Survival analysis (result C)" paragraph 2
quote
Genes with likelihood test P<0.001 and consistent trends in two datasets were screened, with 2682 genes in total regarded as result C (Figure 4B, additionally shown in Supplementary ResultC.csv).
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The datasets analyzed during the current study are available in the CGGA repository [data3, data4 http://www.cgga.org.cn/download.jsp]. The datasets analyzed during the current study are available in the GEO repository [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16011].
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sections[20] "Data Availability" paragraph 2
quote
The datasets analyzed during the current study are available in the CGGA repository [data3, data4 http://www.cgga.org.cn/download.jsp]. The datasets analyzed during the current study are available in the GEO repository [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16011].
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1.31†
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2.69E-21
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3.74
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1.11E-14
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1.74E-15
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8.82E-12
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1.46E-12
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2.37
[7]
Yes*
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KEGG pathway enrichment analysis for 24 genes
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PI3K-Akt signaling pathway
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1.72E-02
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GO enrichment analysis for 24 genes
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The datasets analyzed during the current study are available in the CGGA repository [data3, data4 http://www.cgga.org.cn/download.jsp]. The datasets analyzed during the current study are available in the GEO repository [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16011].
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Complete file
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