Li Xiang, Li Guangzhao, Li Longyuan, Gao Bixi, Niu Xiaowang, Wang Yunjiang, Wang Zhong
Department of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Department of Neurosurgery, Xinghua People's Hospital, Xinghua, China.
Brain Behav. 2024 Mar;14(3):e3465. doi: 10.1002/brb3.3465.
SP gene family, consisting of SP100, SP110, SP140, and SP140L, has been implicated in the initiation and advancement of numerous malignancies. Nevertheless, their clinical significance in glioma remains incompletely understood.
Expression levels and prognostic significance of SP family members were evaluated in the TCGA and CGGA datasets. Multifactorial analysis was used to identify SP gene family members that can independently impact the prognosis of glioma patients. A SP140-based predictive risk model/nomogram was developed in TCGA dataset and validated in CGGA dataset. The model's performance was evaluated through receiver operating characteristic (ROC) curves, calibration plots, and decision curve analyses. Phenotypic associations of SP140 and TRIM22 were examined through CancerSEA and TIMER. The effect of SP140 inhibitor in glioma progress and TRIM22/PI3K/AKT signaling pathway was confirmed in U251/U87 glioma cells.
The SP family members exhibited elevated expression in gliomas and were negatively correlated with prognosis. SP140 emerged as an independent prognostic factor, and a SP140-based nomogram/predictive risk model demonstrated high accuracy. SP140 inhibitor, GSK761, lead to the suppression of TRIM22 expression and the PI3K/AKT signaling pathway. GSK761 also restrain glioma proliferation, migration, and invasion. Furthermore, SP140 and TRIM22 coexpressed in glioma cells with high level of vascular proliferation, TRIM22 is closely associated with the immune cell infiltration.
SP140-based nomogram proved to be a practical tool for predicting the survival of glioma patients. SP140 inhibitor could suppress glioma progress via TRIM22/PI3K/AKT signaling pathway.
由SP100、SP110、SP140和SP140L组成的SP基因家族与多种恶性肿瘤的发生和发展有关。然而,它们在胶质瘤中的临床意义仍未完全明确。
在TCGA和CGGA数据集中评估SP家族成员的表达水平和预后意义。采用多因素分析来确定能够独立影响胶质瘤患者预后的SP基因家族成员。在TCGA数据集中建立了基于SP140的预测风险模型/列线图,并在CGGA数据集中进行验证。通过受试者工作特征(ROC)曲线、校准图和决策曲线分析评估该模型的性能。通过CancerSEA和TIMER研究SP140与TRIM22的表型关联。在U251/U87胶质瘤细胞中证实了SP140抑制剂对胶质瘤进展和TRIM22/PI3K/AKT信号通路的影响。
SP家族成员在胶质瘤中表达升高,且与预后呈负相关。SP140是一个独立的预后因素,基于SP140的列线图/预测风险模型显示出高准确性。SP140抑制剂GSK761可导致TRIM22表达和PI3K/AKT信号通路受到抑制。GSK761还能抑制胶质瘤的增殖、迁移和侵袭。此外,SP140和TRIM22在血管增殖水平高的胶质瘤细胞中共表达,TRIM22与免疫细胞浸润密切相关。
基于SP140的列线图被证明是预测胶质瘤患者生存的实用工具。SP140抑制剂可通过TRIM22/PI3K/AKT信号通路抑制胶质瘤进展。