胶质瘤
肿瘤科
比例危险模型
胶质母细胞瘤
生物标志物
生物
队列
生存分析
内科学
医学
生物信息学
计算生物学
癌症研究
遗传学
作者
Hong Chen,Bo Liang,Xiaolin Luo,Wenyu Zhang,Song Xiong,Hailin Lan,Qiuyuan Yue,Jingdun Xie,Mingwei Zhang
标识
DOI:10.1016/j.intimp.2023.110030
摘要
Due to the negative association between inhibitor of nuclear factor-kB kinase-interacting protein (IKBIP) and survival in gliomas, this study aimed to comprehensively analyze the potential function of IKBIP in glioblastoma multiforme (GBM).GBM samples were retrieved from The Cancer Genome Atlas and Chinese Glioma Genome Atlas as training and validation cohorts, respectively, and survival and Cox regression analyses were conducted. Based on clinical indicators and IKBIP, three prognostic models were established and then verified using the validation dataset. Infiltrating immune cell analysis and single-sample gene set enrichment analysis were also conducted to explore the underlying mechanisms. Finally, the key findings were validated through molecular biology experiments.Patients in the high IKBIP score group had poorer survival. Based on Cox regression and subgroup analyses, IKBIP was identified as an independent prognostic factor. Among the three models constructed, the model combining the IKBIP signature and clinical features displayed good performance in terms of discrimination, calibration, and model improvement capability in the training cohort. This model was also successfully validated in an external cohort from the CGGA. Further analysis revealed that many immune cells and related pathways were involved in the high-risk group. In vitro experiments revealed that the knockdown of IKBIP inhibited cell invasion and proliferation, and promoted their senescence.The prognostic value of IKBIP and its positive impact on the invasiveness of GBM were identified, indicating that IKBIP may serve as an underlying target for the treatment of GBM.
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