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The genes significantly associated with an improved prognosis and long-term survival of glioblastomaopen access

Authors
Yoon, Hong GyuCheong, Jin HwanRyu, Je IlWon, Yu DeokMin, Kyueng-WhanHan, Myung-Hoon
Issue Date
Nov-2023
Publisher
Public Library of Science
Citation
PLoS ONE, v.18, no.11, pp 1 - 19
Pages
19
Indexed
SCIE
SCOPUS
Journal Title
PLoS ONE
Volume
18
Number
11
Start Page
1
End Page
19
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/193239
DOI
10.1371/journal.pone.0295061
ISSN
1932-6203
1932-6203
Abstract
BACKGROUND AND PURPOSE: Glioblastoma multiforme (GBM) is the most devastating brain tumor with less than 5% of patients surviving 5 years following diagnosis. Many studies have focused on the genetics of GBM with the aim of improving the prognosis of GBM patients. We investigated specific genes whose expressions are significantly related to both the length of the overall survival and the progression-free survival in patients with GBM. METHODS: We obtained data for 12,042 gene mRNA expressions in 525 GBM tissues from the Cancer Genome Atlas (TCGA) database. Among those genes, we identified independent genes significantly associated with the prognosis of GBM. Receiver operating characteristic (ROC) curve analysis was performed to determine the genes significant for predicting the long-term survival of patients with GBM. Bioinformatics analysis was also performed for the significant genes. RESULTS: We identified 33 independent genes whose expressions were significantly associated with the prognosis of 525 patients with GBM. Among them, the expressions of five genes were independently associated with an improved prognosis of GBM, and the expressions of 28 genes were independently related to a poorer prognosis of GBM. The expressions of the ADAM22, ATP5C1, RAC3, SHANK1, AEBP1, C1RL, CHL1, CHST2, EFEMP2, and PGCP genes were either positively or negatively related to the long-term survival of GBM patients. CONCLUSIONS: Using a large-scale and open database, we found genes significantly associated with both the prognosis and long-term survival of patients with GBM. We believe that our findings may contribute to improving the understanding of the mechanisms underlying GBM.
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