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胶质母细胞瘤:冷肿瘤表象下的两种免疫亚型。

Glioblastoma: two immune subtypes under the surface of the cold tumor.

机构信息

Department of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Nanjing Medical University, Nanjing, Jiangsu, China.

出版信息

Aging (Albany NY). 2022 May 23;14(10):4357-4375. doi: 10.18632/aging.204067.

Abstract

Glioblastoma is classified as an immunocompromised tumor. The immune pattern beneath the cold tumor surface, however, has yet to be confirmed. Understanding the immune pattern of glioblastoma will aid in the development of effective treatment strategies. We performed weighted gene co-expression network analysis on all immune-related genes in TCGA-GBM transcriptional data and screened 35 prognosis-related immune genes. Unsupervised consistent clustering of these genes was used to analyze the immunological pattern of GBM. A glioblastoma immune prognostic score was developed by using 13 genes discovered by cox regression methods and verified with the GEO dataset to assess the immune profile, prognosis, and immunotherapy effects in individual patients. Glioblastoma has two immune modalities, immune tolerance and immunodeficiency, with distinct immune microenvironments, tumor-associated macrophages being one of the most promising new therapeutic targets. GIPS is a promising biomarker for assessing immune evasion mechanisms, immunotherapy responses, and prognosis in patients.

摘要

胶质母细胞瘤被归类为免疫抑制性肿瘤。然而,冷肿瘤表面下的免疫模式尚未得到证实。了解胶质母细胞瘤的免疫模式将有助于制定有效的治疗策略。我们对 TCGA-GBM 转录数据中的所有免疫相关基因进行了加权基因共表达网络分析,并筛选了 35 个与预后相关的免疫基因。使用无监督一致聚类分析这些基因,以分析 GBM 的免疫模式。通过 Cox 回归方法发现了 13 个基因,并使用 GEO 数据集进行了验证,从而建立了胶质母细胞瘤免疫预后评分,以评估个体患者的免疫特征、预后和免疫治疗效果。胶质母细胞瘤有两种免疫模式,免疫耐受和免疫缺陷,具有不同的免疫微环境,肿瘤相关巨噬细胞是最有前途的新治疗靶点之一。GIPS 是评估免疫逃逸机制、免疫治疗反应和患者预后的有前途的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1712/9186767/b8c98bd03b03/aging-14-204067-g001.jpg

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