PMID- 31633244
OWN - NLM
STAT- MEDLINE
DCOM- 20210514
LR  - 20210514
IS  - 1097-4644 (Electronic)
IS  - 0730-2312 (Linking)
VI  - 121
IP  - 2
DP  - 2020 Feb
TI  - Primary glioblastoma transcriptome data analysis for screening survival-related 
      genes.
PG  - 1901-1910
LID - 10.1002/jcb.29425 [doi]
AB  - PURPOSE: The aim of this study was to screen survival-related genes for 
      glioblastoma (GBM). METHODS: GSE53733 was downloaded from Gene Expression Omnibus 
      (GEO) database, including 16 short-term (ST), 31 intermediate (IM), and 23 
      long-term (LT) survivors. Analysis of variance was used to analyze the expression 
      in three groups. The genes with P < .01 were screened as differentially expressed 
      genes (DEGs). Soft clustering was performed using Mfuzz to mine the expression 
      patterns of differential genes in three groups of overall survival (OS) 
      classification. The cytoscape plugin clueGO was used for functional enrichment 
      analysis. The protein interaction between differential genes was extracted from 
      the STRING V10 database, and the protein-protein interaction (PPI) network was 
      constructed and displayed with cytoscape. The hub genes were verified by 
      quantitative reverse-transcription polymerase chain reaction. RESULTS: Total 662 
      DEGs were obtained among three groups and enriched in 12 clusters. The overlap 
      analysis between clusters could classify these 12 clusters Cluster A and B. Total 
      264 OS.DEGs were contained in Cluter A and Cluster B, and enriched in 28 Gene 
      Ontology terms, such as trophoblast giant cell differentiation (P 
      value = 6.18E-04), muscle fiber development (P value = 9.09E-04), and negative 
      regulation of stem cell differentiation (P value = 1.76E-03). The top five nodes 
      with highest degree in OS.PPI were HDAC1, DECR1, RASL11A, PDIA3, and POLR2F. The 
      expression of DECR1 and POLR2F was significantly lower, while the levels of HDAC1 
      and PDIA3 were highly expressed in GBM tissues. CONCLUSION: DECR1, POLR2F, HDAC1, 
      and PDIA3 might be potential key genes affected the overall survival time of 
      patients with GBM.
CI  - (c) 2019 Wiley Periodicals, Inc.
FAU - Yang, Ying
AU  - Yang Y
AD  - Intensive Care Unit, Affiliated Hospital of Jining Medical University, Jining, 
      China.
FAU - Yan, Ranran
AU  - Yan R
AUID- ORCID: 0000-0002-2618-6179
AD  - Intensive Care Unit, Affiliated Hospital of Jining Medical University, Jining, 
      China.
FAU - Zhang, Liwen
AU  - Zhang L
AD  - Intensive Care Unit, Affiliated Hospital of Jining Medical University, Jining, 
      China.
FAU - Meng, Xiangli
AU  - Meng X
AD  - Nursing Department, Affiliated Hospital of Jining Medical University, Jining, 
      China.
FAU - Sun, Wen
AU  - Sun W
AD  - Teaching Administration Office, Affiliated Hospital of Jining Medical University, 
      Jining, China.
LA  - eng
PT  - Journal Article
DEP - 20191021
PL  - United States
TA  - J Cell Biochem
JT  - Journal of cellular biochemistry
JID - 8205768
RN  - 0 (Biomarkers, Tumor)
SB  - IM
MH  - Biomarkers, Tumor/*genetics
MH  - Female
MH  - Gene Expression Profiling
MH  - *Gene Expression Regulation, Neoplastic
MH  - *Gene Regulatory Networks
MH  - Glioblastoma/genetics/*mortality/pathology
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Prognosis
MH  - Protein Interaction Maps
MH  - Survival Rate
OTO - NOTNLM
OT  - differently expressed genes
OT  - glioblastoma
OT  - overall survival
OT  - transcriptome data
EDAT- 2019/10/22 06:00
MHDA- 2021/05/15 06:00
CRDT- 2019/10/22 06:00
PHST- 2019/04/19 00:00 [received]
PHST- 2019/10/08 00:00 [accepted]
PHST- 2019/10/22 06:00 [pubmed]
PHST- 2021/05/15 06:00 [medline]
PHST- 2019/10/22 06:00 [entrez]
AID - 10.1002/jcb.29425 [doi]
PST - ppublish
SO  - J Cell Biochem. 2020 Feb;121(2):1901-1910. doi: 10.1002/jcb.29425. Epub 2019 Oct 
      21.