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Immune-Related lncRNA Correlated with Transcription Factors Provide Strong Prognostic Prediction in Gliomas

机译:与转录因子相关的免疫相关的LNCRNA在胶质瘤中提供了强预先预测

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Glioma is the most common and deadly tumor in central nervous system. According to previous studies, long noncoding RNAs (lncRNA) and transcription factors were significant factors of gliomas progression by regulating gliomas immune microenvironment. In our study, we built two independent cohorts from CGGA and TCGA. And we extracted 253 immune-related lncRNA correlated with prognosis. After LASSO analysis and multivariate Cox regression analysis, 8 immune-related lncRNA were used to construct classifier. The effectiveness of classifier was confirmed in both CGGA (AUC?=?0.869) and TCGA (AUC?=?0.902) cohorts. The correlation between transcription factors and immune-related lncRNA was calculated by WCGNA. Eventually, we built a network between 8 lncRNA and transcription factors. The function of core immune-related lncRNA in gliomas immune microenvironment was also investigated by CIBERTSORT. Our research provided a strong classifier of immune-related lncRNA to predict gliomas patient outcome. We also found the correlation between core immune-related lncRNA and transcription factors. These results may stimulate new strategy of immunotherapy in gliomas patients.
机译:胶质瘤是中枢神经系统中最常见和最致命的肿瘤。根据先前的研究,通过调节胶质瘤免疫微环境来说,长的非致rNA(lncrna)和转录因子是胶质瘤进展的重要因素。在我们的研究中,我们建立了来自CGGA和TCGA的两个独立队列。我们提取了与预后相关的253个免疫相关的LNCrNA。在套索分析和多元COX回归分析后,使用8个免疫相关的LNCRNA构建分类器。分类器的有效性在CGGA(AUC?= 0.869)和TCGA(AUC?= 0.902)队列中确认。通过WCGNA计算转录因子和免疫相关LNCRNA之间的相关性。最终,我们在8次LNCRNA和转录因子之间建立了网络。 Cibertsort还研究了Gliomas免疫微环境中核心免疫相关LNCrNA的功能。我们的研究提供了一种强大的免疫相关LNCrNA分类器,以预测胶质瘤患者结果。我们还发现核心免疫相关的LNCRNA和转录因子之间的相关性。这些结果可能刺激胶质瘤患者的免疫疗法新策略。

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