Xu Houshi, Zhu Qingwei, Tang Lan, Jiang Junkun, Yuan Huiwen, Zhang Anke, Lou Meiqing
Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, 310029, China.
Cancer Cell Int. 2021 Feb 12;21(1):103. doi: 10.1186/s12935-021-01804-3.
Glioma is the most prevalent malignant form of brain tumors, with a dismal prognosis. Currently, cancer immunotherapy has emerged as a revolutionary treatment for patients with advanced highly aggressive therapy-resistant tumors. However, there is no effective biomarker to reflect the response to immunotherapy in glioma patient so far. So we aim to assess the clinical predictive value of FCER1G in patients with glioma.
The expression level and correlation between clinical prognosis and FER1G levels were analyzed with the data from CGGA, TCGA, and GEO database. Univariate and multivariate cox regression model was built to predict the prognosis of glioma patients with multiple factors. Then the correlation between FCER1G with immune cell infiltration and activation was analyzed. At last, we predict the immunotherapeutic response in both high and low FCER1G expression subgroups.
FCER1G was significantly higher in glioma with greater malignancy and predicted poor prognosis. In multivariate analysis, the hazard ratio of FCER1G expression (Low versus High) was 0.66 and 95 % CI is 0.54 to 0.79 (P < 0.001), whereas age (HR = 1.26, 95 % CI 1.04-1.52), grade (HR = 2.75, 95 % CI 2.06-3.68), tumor recurrence (HR = 2.17, 95 % CI 1.81-2.62), IDH mutant (HR = 2.46, 95 % CI 1.97-3.01) and chemotherapeutic status (HR = 1.4, 95 % CI 1.20-1.80) are also included. Furthermore, we illustrated that gene FCER1G stratified glioma cases into high and low FCER1G expression subgroups that demonstrated with distinct clinical outcomes and T cell activation. At last, we demonstrated that high FCER1G levels presented great immunotherapeutic response in glioma patients.
This study demonstrated FCER1G as a novel predictor for clinical diagnosis, prognosis, and response to immunotherapy in glioma patient. Assess expression of FCER1G is a promising method to discover patients that may benefit from immunotherapy.
胶质瘤是最常见的恶性脑肿瘤形式,预后不佳。目前,癌症免疫疗法已成为晚期高度侵袭性、对治疗耐药肿瘤患者的革命性治疗方法。然而,迄今为止,尚无有效的生物标志物来反映胶质瘤患者对免疫疗法的反应。因此,我们旨在评估FCER1G在胶质瘤患者中的临床预测价值。
利用CGGA、TCGA和GEO数据库的数据,分析FCER1G的表达水平及其与临床预后的相关性。构建单因素和多因素cox回归模型,以多因素预测胶质瘤患者的预后。然后分析FCER1G与免疫细胞浸润和激活之间的相关性。最后,我们预测了FCER1G高表达和低表达亚组中的免疫治疗反应。
FCER1G在恶性程度较高的胶质瘤中显著升高,并预示预后不良。在多因素分析中,FCER1G表达的风险比(低表达与高表达)为0.66,95%可信区间为0.54至0.79(P<0.001),而年龄(HR=1.26,95%可信区间为1.04-1.52)、分级(HR=2.75,95%可信区间为2.06-3.68)、肿瘤复发(HR=2.17,95%可信区间为1.81-2.62)、IDH突变(HR=2.46,95%可信区间为1.97-3.01)和化疗状态(HR=1.4,95%可信区间为1.20-1.80)也包括在内。此外,我们还表明基因FCER1G将胶质瘤病例分为FCER1G高表达和低表达亚组,这两个亚组具有不同的临床结果和T细胞激活情况。最后,我们证明高FCER1G水平的胶质瘤患者具有良好的免疫治疗反应。
本研究证明FCER1G是胶质瘤患者临床诊断、预后及免疫治疗反应的新型预测指标。评估FCER1G的表达是发现可能从免疫治疗中获益患者的一种有前景的方法。