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

被引:4
|
作者
Yoon, Hong Gyu [1 ]
Cheong, Jin Hwan [2 ]
Ryu, Je Il [2 ]
Won, Yu Deok [2 ]
Min, Kyueng-Whan [3 ]
Han, Myung-Hoon [2 ]
机构
[1] Yonsei Univ, Coll Med, Dept Neurosurg, Seoul, South Korea
[2] Hanyang Univ, Guri Hosp, Dept Neurosurg, Coll Med, Guri, South Korea
[3] Eulji Univ, Dept Pathol, Uijeongbu Eulji Med Ctr, Sch Med, Uijongbu, Gyeonggi Do, South Korea
来源
PLOS ONE | 2023年 / 18卷 / 11期
基金
新加坡国家研究基金会;
关键词
CELL-PROLIFERATION; EXPRESSION; ADHESION; PREDICTS; GLIOMAS;
D O I
10.1371/journal.pone.0295061
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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页数:19
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