Comprehensive analysis of bulk, single-cell RNA sequencing, and spatial transcriptomics revealed IER3 for predicting malignant progression and immunotherapy efficacy in glioma

被引:0
|
作者
Wang, Qi [1 ]
Zhang, Chunyu [1 ]
Pang, Ying [1 ]
Cheng, Meng [1 ]
Wang, Rui [1 ]
Chen, Xu [1 ]
Ji, Tongjie [1 ]
Yang, Yuntong [1 ]
Zhang, Jing [1 ,2 ]
Zhong, Chunlong [1 ]
机构
[1] Tongji Univ, Shanghai East Hosp, Sch Med, Dept Neurosurg, Shanghai, Peoples R China
[2] Tongji Univ, Inst Adv Study, Shanghai, Peoples R China
基金
上海市自然科学基金; 中国国家自然科学基金;
关键词
Glioma; TAMMs; Dabrafenib; Prognosis; Immunotherapy; GENE IEX-1; GLIOBLASTOMA; EXPRESSION; TARGET;
D O I
10.1186/s12935-024-03511-1
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundAs part of stress-triggered molecules, immediate early response 3 (IER3) dysregulation has been reported to sustain pro-oncogenic pathways and precede malignant transformation. However, the role of IER3 in glioma pathology is ill-defined.MethodsImmunohistochemistry (IHC) assay and publicly available glioma datasets were used to calculate the IER3 expression level in glioma. Wound healing, invasion and cell counting kit-8 (CCK8) assays were applied to measure the cell viability and capacities of migration and invasion of glioma cells in vitro. The immunofluorescence (IF) assay was used to assess the expression associations of IER3 with CCL2 and TGFBI. Cox regression analysis and Kaplan-Meier (K-M) curve were introduced to compute the prognosis-predicting value of IER3. Variations in copy number (CNVs), single nucleotide (SNVs), and methylation profiles were analyzed to illustrate the epigenetic modifications of IER3. Gliomas were divided into two subgroups using the restricted cubic spline (RCS) method.Results IER3was overexpressed and hypomethylated in gliomas and significantly associated with the dismal prognosis of glioma samples. Samples in the high IER3 subgroup were characterized by increased infiltration of tumor-associated monocytes/macrophages (TAMMs), as well as the elevated sensitivity to Dabrafenib, an inhibitor of BRAF. In addition, this subgroup demonstrated a low mutation rate of IDH, high gain rates of BRAF, ELTD1, and PDGFA. Gliomas with relatively low IER3 expression demonstrated a less invasive subtype and were featured by favorable prognosis, increased response to immunotherapy, and adjuvant chemotherapy plus radiotherapy. The IF assay revealed that IER3 was co-localized and co-expressed with TGFBI. The glioma cells with small interfering RNA (siRNA)-silenced IER3 displayed lower migration, invasion, proliferation, and cell viability than the control group.ConclusionsIn this study, we identified IER3 upregulation as an essential biomarker that could assist in adjuvant therapy and prognosis prediction for gliomas.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] The role of mitophagy-related genes in prognosis and immunotherapy of cutaneous melanoma: a comprehensive analysis based on single-cell RNA sequencing and machine learning
    Tian, Jun
    Zhang, Lei
    Shi, Kexin
    Yang, Li
    IMMUNOLOGIC RESEARCH, 2025, 73 (01)
  • [22] Identification and validation of a novel signature based on T cell marker genes to predict prognosis, immunotherapy response and chemotherapy sensitivity in head and neck squamous carcinoma by integrated analysis of single-cell and bulk RNA-sequencing
    Zhou, Chongchang
    Deng, Hongxia
    Fang, Yi
    Wei, Zhengyu
    Shen, Yiming
    Qiu, Shijie
    Ye, Dong
    Shen, Zhisen
    Shen, Yi
    HELIYON, 2023, 9 (11)
  • [23] Machine-learning and combined analysis of single-cell and bulk-RNA sequencing identified a DC gene signature to predict prognosis and immunotherapy response for patients with lung adenocarcinoma
    Zhang, Liangyu
    Guan, Maohao
    Zhang, Xun
    Yu, Fengqiang
    Lai, Fancai
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2023, 149 (15) : 13553 - 13574
  • [24] Comprehensive Analysis of Programmed Cell Death-Related Genes in Diagnosis and Synovitis During Osteoarthritis Development: Based on Bulk and Single-Cell RNA Sequencing Data
    Zhou, Jiangfei
    Jiao, Songsong
    Huang, Jian
    Dai, Tianming
    Xu, Yangyang
    Xia, Dong
    Feng, Zhencheng
    Chen, Junjie
    Li, Zhiwu
    Hu, Liqiong
    Meng, Qingqi
    JOURNAL OF INFLAMMATION RESEARCH, 2025, 18 : 751 - 778
  • [25] Integrated analysis of single-cell and bulk RNA-sequencing identifies a signature based on B cell marker genes to predict prognosis and immunotherapy response in lung adenocarcinoma
    Song, Peng
    Li, Wenbin
    Wu, Xiaoxuan
    Qian, Zhirong
    Ying, Jianming
    Gao, Shugeng
    He, Jie
    CANCER IMMUNOLOGY IMMUNOTHERAPY, 2022, 71 (10) : 2341 - 2354
  • [26] Integrated analysis of single-cell and bulk RNA-sequencing identifies a signature based on NK cell marker genes to predict prognosis and immunotherapy response in hepatocellular carcinoma
    Yang, Dashuai
    Zhao, Fangrui
    Su, Yang
    Zhou, Yu
    Shen, Jie
    Yu, Bin
    Zhao, Kailiang
    Ding, Youming
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2023, 149 (12) : 10609 - 10621
  • [27] Data mining of bulk and single-cell RNA sequencing introduces OBI1-AS1 as an astrocyte marker with possible role in glioma recurrence and progression
    Mamivand, Ali
    Bayat, Shiva
    Maghrouni, Abolfazl
    Shabani, Sasan
    Khoshnevisan, Alireza
    Saffar, Hiva
    Tabrizi, Mina
    CLINICAL EPIGENETICS, 2022, 14 (01)
  • [28] An integrated bioinformatic analysis of bulk and single-cell sequencing clarifies immune microenvironment and metabolic profiles of lung adenocarcinoma to predict immunotherapy efficacy
    Li, Mengling
    Zhou, Baosen
    Zheng, Chang
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2023, 11
  • [29] Combined analysis of bulk and single-cell RNA sequencing reveals novel natural killer cell-related prognostic biomarkers for predicting immunotherapeutic response in hepatocellular carcinoma
    Zhang, Kai
    Yuan, Enwu
    FRONTIERS IN IMMUNOLOGY, 2023, 14
  • [30] Integrated analysis of single-cell and bulk RNA-sequencing reveals tumor heterogeneity and a signature based on NK cell marker genes for predicting prognosis in hepatocellular carcinoma
    Li, Shuo
    Du, Hongbo
    Gan, Da'nan
    Li, Xiaoke
    Zao, Xiaobin
    Ye, Yong'an
    FRONTIERS IN PHARMACOLOGY, 2023, 14