Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Department of Neurosurgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Gyeonggi-do, Republic of Korea.
PLoS One. 2023 Nov 29;18(11):e0295061. doi: 10.1371/journal.pone.0295061. eCollection 2023.
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.
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.
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.
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.
多形性胶质母细胞瘤(GBM)是最具破坏性的脑肿瘤,诊断后仅有不到 5%的患者能存活 5 年以上。许多研究都集中在 GBM 的遗传学上,旨在改善 GBM 患者的预后。我们研究了特定基因,这些基因的表达与 GBM 患者的总生存时间和无进展生存时间显著相关。
我们从癌症基因组图谱(TCGA)数据库中获得了 525 例 GBM 组织的 12042 个基因 mRNA 表达数据。在这些基因中,我们确定了与 GBM 预后显著相关的独立基因。进行接收者操作特征(ROC)曲线分析,以确定对预测 GBM 患者长期生存有意义的基因。还对有意义的基因进行了生物信息学分析。
我们确定了 33 个独立的基因,其表达与 525 例 GBM 患者的预后显著相关。其中,5 个基因的表达与 GBM 的预后改善独立相关,28 个基因的表达与 GBM 的预后较差独立相关。ADAM22、ATP5C1、RAC3、SHANK1、AEBP1、C1RL、CHL1、CHST2、EFEMP2 和 PGCP 基因的表达与 GBM 患者的长期生存呈正相关或负相关。
使用大规模和开放的数据库,我们发现了与 GBM 患者的预后和长期生存均显著相关的基因。我们相信,我们的发现可能有助于提高对 GBM 发病机制的理解。