Identification of Immunogenic Cell Death-Related Signature for Glioma to Predict Survival and Response to Immunotherapy.
Identification of Immunogenic Cell Death-Related Signature for Glioma to Predict Survival and Response to Immunotherapy.
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胶质瘤是一种恶性原发性脑肿瘤，占总病例的75%。值得注意的是，神经胶质瘤中的几种免疫治疗和化疗药物已被证明可诱导免疫原性细胞死亡（ICD）。然而，胶质瘤的研究主要针对个体ICD相关基因，尚缺乏对所有ICD相关基因的综合分析。本研究的目的是鉴定基于胶质瘤中ICD相关基因的新分子特征，这可能有助于胶质瘤的诊断和治疗。我们最终确定了 14 个 ICD 相关基因特征，可以有效预测胶质瘤的预后和免疫治疗反应。这些发现可能对选择神经胶质瘤的最佳治疗策略有很大帮助。免疫原性细胞死亡（ICD）是一种调节性细胞死亡（RCD），与肿瘤（包括神经胶质瘤）的进展、预后和治疗相关。大量研究表明，胶质瘤的免疫治疗和化疗药物可能诱发ICD。然而，目前缺乏对ICD相关基因的作用及其与胶质瘤总生存期（OS）相关性的综合分析研究。从五个不同的数据库中获取了 1896 个神经胶质瘤样本的遗传、转录和临床数据，并根据基因和转录水平进行了分析。共识无监督聚类方法将患者分为两个不同的分子簇：A和B。所有患者被随机分为训练组和测试组。利用训练组数据，筛选出 14 个 ICD 相关基因来开发风险评分模型。我们评估了风险组与预后、肿瘤微环境（TME）中的细胞和免疫细胞浸润、化疗敏感性和癌症干细胞（CSC）指数之间的相关性。构建了高精度列线图模型，以增强和优化风险评分的临床应用。结果表明，风险评分可以独立预测神经胶质瘤患者的总生存率和免疫治疗反应。本研究分析了胶质瘤中的ICD相关基因，并评估了它们在胶质瘤的OS、临床病理特征、TME和免疫细胞浸润中的作用。我们的结果可能有助于评估神经胶质瘤的 OS 并制定更好的免疫治疗策略。
Glioma is a malignant primary brain tumor accounting for 75% of the total cases. Notably, several immunotherapeutic and chemotherapeutic agents in glioma have been demonstrated to induce immunogenic cell death (ICD). However, the studies on glioma have targeted individual ICD-related genes, and comprehensive analyses of all the ICD-related genes are still lacking. The aim of this study was to identify a novel molecular signature based on ICD-related genes in glioma, which might be beneficial for the diagnosis and treatment of glioma. We eventually identified a 14 ICD-related gene signature, which could effectively predict prognosis and immunotherapy response in glioma. These findings might be significantly helpful in selecting the best therapeutic strategy for glioma. Immunogenic cell death (ICD) is a type of regulated cell death (RCD) and is correlated with the progression, prognosis, and therapy of tumors, including glioma. Numerous studies have shown that the immunotherapeutic and chemotherapeutic agents of glioma might induce ICD. However, studies on the comprehensive analysis of the role of ICD-related genes and their correlations with overall survival (OS) in glioma are lacking. The genetic, transcriptional, and clinical data of 1896 glioma samples were acquired from five distinct databases and analyzed in terms of genes and transcription levels. The method of consensus unsupervised clustering divided the patients into two disparate molecular clusters: A and B. All of the patients were randomly divided into training and testing groups. Employing the training group data, 14 ICD-related genes were filtered out to develop a risk-score model. The correlations between our risk groups and prognosis, cells in the tumor microenvironment (TME) and immune cells infiltration, chemosensitivity and cancer stem cell (CSC) index were assessed. A highly precise nomogram model was constructed to enhance and optimize the clinical application of the risk score. The results demonstrated that the risk score could independently predict the OS rate and the immunotherapeutic response of glioma patients. This study analyzed the ICD-related genes in glioma and evaluated their role in the OS, clinicopathological characteristics, TME and immune cell infiltration of glioma. Our results may help in assessing the OS of glioma and developing better immunotherapeutic strategies.
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影响因子：
9
作者：
Fucikova J;Kepp O;Kasikova L;Petroni G;Yamazaki T;Liu P;Zhao L;Spisek R;Kroemer G;Galluzzi L
通讯作者：
Galluzzi L
影响因子：
--
作者：
Bertaut A;Truntzer C;Madkouri R;Kaderbhai CG;Derangère V;Vincent J;Chauffert B;Aubriot-Lorton MH;Farah W;Mourier KL;Boidot R;Ghiringhelli F
通讯作者：
Ghiringhelli F
DOI：
10.1084/jem.20050915
发表时间：
2005-12-19
期刊：
The Journal of experimental medicine
影响因子：
--
作者：
Casares N;Pequignot MO;Tesniere A;Ghiringhelli F;Roux S;Chaput N;Schmitt E;Hamai A;Hervas-Stubbs S;Obeid M;Coutant F;Métivier D;Pichard E;Aucouturier P;Pierron G;Garrido C;Zitvogel L;Kroemer G
通讯作者：
Kroemer G
影响因子：
12.7
作者：
Fossati, G;Ricevuti, G;Rossi, ML
通讯作者：
Rossi, ML
影响因子：
15.9
作者：
Hussain, S. Farzana;Yang, David;Heimberger, Amy B.
通讯作者：
Heimberger, Amy B.