RP11-552D4.1：一种与胶质母细胞瘤免疫状态相关的新型 m6A 相关长非编码 RNA。
RP11-552D4.1: a novel m6a-related LncRNA associated with immune status in glioblastoma.
机构信息
Department of Neurosurgery, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Key Molecular Lab, Shanghai Pudong New Area People's Hospital, Shanghai, China.
出版信息
Aging (Albany NY). 2022 Jul 18;14(18):7348-7363. doi: 10.18632/aging.204177.
Glioblastoma (GBM) is the most malignant form of brain cancer in the world. Nevertheless, the survival rate of patients with GBM is extremely low. N6-methyladenosine (m6A) and long noncoding RNAs (lncRNAs) conduct important biological functions in patients' survival status and the immunotherapeutic response. Here, m6A-related lncRNAs were identified by a co-expression method. Univariate and multivariate Cox regression together with LASSO were applied to establish the risk model. Kaplan-Meier and ROC analysis were applied to evaluate the prediction power of this risk model. Finally, the related immune profiling and chemical sensitivity targets were also investigated. The risk model holding three m6A-related lncRNAs was confirmed as an independent predictor for the prognosis. Furthermore, we found the risk model based on m6A-related lncRNAs is associated with the immune status, immunosuppressive biomarkers, and chemo-sensitivity in GBM patients. The RP11-552D4.1 is found to facilitate neuronal proliferation. This risk model consisted of m6A-related lncRNAs may be available for the clinical interventions in GBM patients.
胶质母细胞瘤（GBM）是世界上最恶性的脑癌。然而，GBM 患者的生存率极低。N6-甲基腺苷（m6A）和长链非编码 RNA（lncRNA）在患者的生存状态和免疫治疗反应中发挥着重要的生物学功能。在这里，通过共表达方法鉴定了 m6A 相关的 lncRNA。单变量和多变量 Cox 回归以及 LASSO 一起被用来建立风险模型。Kaplan-Meier 和 ROC 分析被用来评估这个风险模型的预测能力。最后，还研究了相关的免疫分析和化学敏感性靶标。含有三个 m6A 相关 lncRNA 的风险模型被证实是 GBM 患者预后的独立预测因子。此外，我们发现基于 m6A 相关 lncRNAs 的风险模型与 GBM 患者的免疫状态、免疫抑制生物标志物和化疗敏感性有关。RP11-552D4.1 被发现促进神经元增殖。由 m6A 相关 lncRNAs 组成的这个风险模型可能可用于 GBM 患者的临床干预。
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