Li Jia, Liu Lei, Zong Gang, Yang Zhihao, Zhang Deran, Zhao Bing
Department of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230601, P.R. China.
Department of Emergency Surgery, Fuyang Hospital Affiliated to Anhui Medical University, Fuyang, Anhui 236112, P.R. China.
Oncol Lett. 2024 Nov 19;29(1):61. doi: 10.3892/ol.2024.14807. eCollection 2025 Jan.
Gliomas are among the most common malignant tumors of the central nervous system. Despite surgical resection followed by postoperative radiotherapy and chemotherapy, their prognosis remains unfavorable. The present study aimed to assess new mechanisms and explore promising prognostic biomarkers for patients with glioma using comprehensive bioinformatics analysis and and assays. Overlapping differentially expressed genes were screened from The Cancer Genome Atlas, GSE111260 and GSE16011 samples for protein-protein interaction networks, a risk score model, gene mutation analysis and a nomogram to identify the prognostic hub genes. Subsequently, an immunoassay was performed to determine key genes. Functional and animal assays were then performed to assess the tumorigenesis of the key genes in glioma. Using bioinformatics analysis, centromere protein F (CENPF), kinesin superfamily member 20A, kinesin superfamily protein 4A and marker of proliferation Ki-67 were identified as potential prognostic biomarkers for patients with glioma. Furthermore, CENPF knockdown was demonstrated to suppress the proliferation and metastasis of glioma cells, and induce G2 arrest in the cell cycle. Moreover, CENPF knockdown was revealed to decrease Vimentin and increase E-cadherin levels in glioma cells, and significantly reduce the size and mass of tumors . Overall, the present study identified new clinical biomarkers and revealed that CENPF may promote glioma progression by regulating the epithelial-mesenchymal transition pathway. By elucidating the complexities of glioma and identifying prognostic biomarkers, the present research enables further improvement of patient outcomes and the advancement of precision medicine for this disease.
神经胶质瘤是中枢神经系统最常见的恶性肿瘤之一。尽管进行了手术切除,随后进行了术后放疗和化疗,但其预后仍然不佳。本研究旨在通过全面的生物信息学分析和实验评估新的机制,并探索神经胶质瘤患者有前景的预后生物标志物。从癌症基因组图谱、GSE111260和GSE16011样本中筛选重叠的差异表达基因,用于蛋白质-蛋白质相互作用网络、风险评分模型、基因突变分析和列线图,以识别预后关键基因。随后,进行免疫测定以确定关键基因。然后进行功能和动物实验,以评估关键基因在神经胶质瘤中的肿瘤发生情况。通过生物信息学分析,着丝粒蛋白F(CENPF)、驱动蛋白超家族成员20A、驱动蛋白超家族蛋白4A和增殖标志物Ki-67被确定为神经胶质瘤患者潜在的预后生物标志物。此外,CENPF敲低被证明可抑制神经胶质瘤细胞的增殖和转移,并诱导细胞周期中的G2期阻滞。此外,CENPF敲低可降低神经胶质瘤细胞中波形蛋白的水平并增加E-钙黏蛋白的水平,并显著减小肿瘤的大小和质量。总体而言,本研究确定了新的临床生物标志物,并揭示CENPF可能通过调节上皮-间质转化途径促进神经胶质瘤的进展。通过阐明神经胶质瘤的复杂性并识别预后生物标志物,本研究能够进一步改善患者的预后,并推动针对该疾病的精准医学发展。