Wu Changwu, Qin Chaoying, Long Wenyong, Wang Xiangyu, Xiao Kai, Liu Qing
Department of Neurosurgery, Xiangya Hospital, Central-South University, 87 Xiangya Road, Changsha, 410008 Hunan People's Republic of China.
Institute of Skull Base Surgery and Neuro-Oncology at Hunan, Changsha, China.
J Big Data. 2022;9(1):92. doi: 10.1186/s40537-022-00643-x. Epub 2022 Jul 14.
Glioblastoma (GBM) is the most common primary brain tumor in adults and is notorious for its lethality. Given its limited therapeutic measures and high heterogeneity, the development of new individualized therapies is important. mRNA vaccines have exhibited promising performance in a variety of solid tumors, those designed for glioblastoma (GBM) need further development. The aim of this study is to explore tumor antigens for the development of mRNA vaccines against GBM and to identify potential immune subtypes of GBM to identify the patients suitable for different immunotherapies.
RNA-seq data and the clinical information of 143 GBM patients was extracted from the TCGA database; microarray data and the clinical information of 181 GBM patients was obtained from the REMBRANDT cohort. A GBM immunotherapy cohort of 17 patients was obtained from a previous literature. GEPIA2, cBioPortal, and TIMER2 were used to identify the potential tumor antigens. Immune subtypes and gene modules were identified using consensus clustering; immune landscape was constructed using graph-learning-based dimensionality reduction analysis.
Nine potential tumor antigens associated with poor prognosis and infiltration of antigen-presenting cells were identified in GBM: ADAMTSL4, COL6A1, CTSL, CYTH4, EGFLAM, LILRB2, MPZL2, SAA2, and LSP1. Four robust immune subtypes and seven functional gene modules were identified and validated in an independent cohort. Immune subtypes had different cellular and molecular characteristics, with IS1, an immune cold phenotype; IS2, an immune hot and immunosuppressive phenotype; IS3, a relatively immune cold phenotype, second only to IS1; IS4, having a moderate tumor immune microenvironment. Immune landscape revealed the immune distribution of the GBM patients. Additionally, the potential value of immune subtypes for individualized immunotherapy was demonstrated in a GBM immunotherapy cohort.
ADAMTSL4, COL6A1, CTSL, CYTH4, EGFLAM, LILRB2, MPZL2, SAA2, and LSP1 are the candidate tumor antigens for mRNA vaccine development in GBM, and IS1 GBM patients are best suited for mRNA vaccination, IS2 patients are best suited for immune checkpoint inhibitor. This study provides a theoretical framework for GBM mRNA vaccine development and individualized immunotherapy strategies.
The online version contains supplementary material available at 10.1186/s40537-022-00643-x.
胶质母细胞瘤(GBM)是成人中最常见的原发性脑肿瘤,以其致死性而臭名昭著。鉴于其治疗措施有限且异质性高,开发新的个体化疗法很重要。mRNA疫苗在多种实体瘤中已展现出有前景的表现,针对胶质母细胞瘤(GBM)设计的mRNA疫苗需要进一步研发。本研究的目的是探索用于开发抗GBM的mRNA疫苗的肿瘤抗原,并识别GBM的潜在免疫亚型,以确定适合不同免疫疗法的患者。
从TCGA数据库中提取143例GBM患者的RNA测序数据和临床信息;从REMBRANDT队列中获取181例GBM患者的微阵列数据和临床信息。17例患者的GBM免疫治疗队列来自先前的文献。使用GEPIA2、cBioPortal和TIMER2来识别潜在的肿瘤抗原。使用一致性聚类来识别免疫亚型和基因模块;使用基于图学习的降维分析构建免疫图谱。
在GBM中鉴定出9种与预后不良和抗原呈递细胞浸润相关的潜在肿瘤抗原:ADAMTSL4、COL6A1、CTSL、CYTH4、EGFLAM、LILRB2、MPZL2、SAA2和LSP1。在一个独立队列中鉴定并验证了4种稳健的免疫亚型和7个功能基因模块。免疫亚型具有不同的细胞和分子特征,IS1为免疫冷表型;IS2为免疫热且免疫抑制表型;IS3为相对免疫冷表型,仅次于IS1;IS4具有中度肿瘤免疫微环境。免疫图谱揭示了GBM患者的免疫分布。此外,在GBM免疫治疗队列中证明了免疫亚型对个体化免疫治疗的潜在价值。
ADAMTSL4、COL6A1、CTSL、CYTH4、EGFLAM、LILRB2、MPZL2、SAA2和LSP1是GBM中mRNA疫苗开发的候选肿瘤抗原,IS1型GBM患者最适合mRNA疫苗接种,IS2型患者最适合免疫检查点抑制剂。本研究为GBM的mRNA疫苗开发和个体化免疫治疗策略提供了理论框架。
在线版本包含可在10.1186/s40537 - 022 - 00643 - x获取的补充材料。