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Yan T, Hu P, Lv S, Ye M, Wu M, Fang H, Xiao B. ZNF384 transcriptionally activated MGST1 to confer TMZ resistance of glioma cells by negatively regulating ferroptosis. Cancer Chemother Pharmacol 2024:10.1007/s00280-024-04681-5. [PMID: 38824270 DOI: 10.1007/s00280-024-04681-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 05/23/2024] [Indexed: 06/03/2024]
Abstract
BACKGROUND Drug resistance is one of the major reasons of the poor prognosis and recurs frequently in glioma. Ferroptosis is considered to be a new therapeutic strategy for glioma. METHODS Microsomal glutathione S-transferase 1 (MGST1) expression in glioma samples was ensured through GAPIA database, qRT-PCR, western blotting assay and immunohistochemistry. The interaction between zinc finger protein 384 (ZNF384) and MGST1 promoter was analyzed through UCSC and JASPAR databases and further verified by ChIP and luciferase reporter assay. Cell viability and IC50 value of temozolomide (TMZ) was measured by CCK-8 assay. The production of MDA, GSH and ROS and the level of Fe2+ were determined using the corresponding kit. RESULTS MGST1 expression was increased in clinical glioma tissues and glioma cells. MGST1 expression was increased but ferroptosis was suppressed in TMZ-resistant cells when contrasted to parent cells. MGST1 silencing downregulated IC50 value of TMZ and cell viability but facilitated ferroptosis in TMZ-resistant cells and parent glioma cells. Moreover, our data indicated that ZNF384 interacted with MGST1 promoter and facilitated MGST1 expression. ZNF384 was also increased expression in TMZ-resistant cells, and showed a positive correlation with MGST1 expression in clinical level. ZNF384 decreasing enhanced the sensitivity of resistant cells to TMZ, while the effect of ZNF384 could be reversed by overexpression of MGST1. CONCLUSION MGST1 transcription is regulated by transcription factor ZNF384 in TMZ-resistant cells. ZNF384 confers the resistance of glioma cells to TMZ through inhibition of ferroptosis by positively regulating MGST1 expression. The current study may provide some new understand to the mechanism of TMZ resistance in glioma.
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Affiliation(s)
- Tengfeng Yan
- Department of Neurosurgery the 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Donghu District, Nanchang, Jiangxi Province, 330006, P.R. China
| | - Ping Hu
- Department of Neurosurgery the 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Donghu District, Nanchang, Jiangxi Province, 330006, P.R. China
| | - Shigang Lv
- Department of Neurosurgery the 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Donghu District, Nanchang, Jiangxi Province, 330006, P.R. China
| | - Minhua Ye
- Department of Neurosurgery the 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Donghu District, Nanchang, Jiangxi Province, 330006, P.R. China
| | - Miaojing Wu
- Department of Neurosurgery the 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Donghu District, Nanchang, Jiangxi Province, 330006, P.R. China
| | - Hua Fang
- Department of Neurosurgery the 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Donghu District, Nanchang, Jiangxi Province, 330006, P.R. China
| | - Bing Xiao
- Department of Neurosurgery the 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Donghu District, Nanchang, Jiangxi Province, 330006, P.R. China.
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Huan R, Zhang J, Yue J, Yang S, Han G, Cheng Y, Tan Y. Orexin-A mediates glioblastoma proliferation inhibition by increasing ferroptosis triggered by unstable iron pools and GPX4 depletion. J Cell Mol Med 2024; 28:e18318. [PMID: 38685674 PMCID: PMC11058333 DOI: 10.1111/jcmm.18318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 03/21/2024] [Accepted: 04/03/2024] [Indexed: 05/02/2024] Open
Abstract
Glioblastoma (GBM) represents a prevalent form of primary malignant tumours in the central nervous system, but the options for effective treatment are extremely limited. Ferroptosis, as the most enriched programmed cell death process in glioma, makes a critical difference in glioma progression. Consequently, inducing ferroptosis has become an appealing strategy for tackling gliomas. Through the utilization of multi-omics sequencing data analysis, flow cytometry, MDA detection and transmission electron microscopy, the impact of orexin-A on ferroptosis in GBM was assessed. In this report, we provide the first evidence that orexin-A exerts inhibitory effects on GBM proliferation via the induction of ferroptosis. This induction is achieved by instigating an unsustainable increase in iron levels and depletion of GPX4. Moreover, the regulation of TFRC, FTH1 and GPX4 expression through the targeting of NFE2L2 appears to be one of the potential mechanisms underlying orexin-A-induced ferroptosis.
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Affiliation(s)
- Rengzheng Huan
- Department of NeurosurgeryThe Second Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Jiqin Zhang
- Department of AnesthesiologyGuizhou Provincial People's HospitalGuiyangChina
| | - Jianhe Yue
- Department of NeurosurgeryThe Second Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Sha Yang
- Department of biomedical sciencesMedical College of Guizhou UniversityGuiyangChina
| | - Guoqiang Han
- Department of NeurosurgeryGuizhou Provincial People's HospitalGuiyangChina
| | - Yuan Cheng
- Department of NeurosurgeryThe Second Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Ying Tan
- Department of NeurosurgeryGuizhou Provincial People's HospitalGuiyangChina
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Wang Y, Wang Y, Wang S, Wang C, Tang Y, Zhang C, Yu D, Hou S, Lin N. Comprehensive analysis of CYBB as a prognostic marker and therapeutic target in glioma: A bioinformatics approach. Heliyon 2024; 10:e29549. [PMID: 38655339 PMCID: PMC11036048 DOI: 10.1016/j.heliyon.2024.e29549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 04/07/2024] [Accepted: 04/09/2024] [Indexed: 04/26/2024] Open
Abstract
Background In the central nervous system, glioma is the most common malignant tumor, and patients have a poor prognosis. Identification of novel marker genes and establishment of prognostic models are important for early diagnosis and prognosis determination. Methods Download glioma data from the CGGA and TCG databases. Application of bioinformatics to analyze the impact of CYBB on the clinicopathological characteristics, immunological features and prognosis of gliomas. Using single-cell sequencing data from 7 glioblastoma patients in the CGGA database, the role of CYBB in the tumor microenvironment was analyzed. In addition, a prognostic model was constructed based on CYBB high and low differentially expressed genes and mitochondrial genes. Results The expression of CYBB is closely related to various clinical features, immune cell infiltration level, immune checkpoint and survival time of patients. A 10-gene prediction model was constructed based on the differentially expressed genes of low and high CYBB and mitochondria-related genes. Glioma patients with higher risk scores had significantly lower survival probabilities. Receiver operating characteristic curves and nomograms were plotted over time to show the predictive accuracy and predictive value of the 10-gene prognostic model. Conclusions Our study shows that CYBB is strongly correlated with clinical characteristics features and prognosis of glioma patients, and can be used as a potential therapeutic target. Prognostic models based on CYBB and mitochondrial genes have good performance in predicting prognosis of glioma patients.
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Affiliation(s)
- Yu Wang
- Department of Neurosurgery, The Affliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, 239000, China
| | - Yuhao Wang
- Department of Neurosurgery, The Affliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, 239000, China
| | - Shuai Wang
- Department of Neurosurgery, The Affliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, 239000, China
| | - Chengcheng Wang
- Department of Neurosurgery, The Affliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, 239000, China
| | - Yuhang Tang
- Department of Neurosurgery, The Affliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, 239000, China
| | - Chao Zhang
- Department of Neurosurgery, The Affliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, 239000, China
| | - Dong Yu
- Department of Neurosurgery, The Affliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, 239000, China
| | - Shiqiang Hou
- Department of Neurosurgery, The Affliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, 239000, China
| | - Ning Lin
- Department of Neurosurgery, The Affliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, 239000, China
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Mete M, Ojha A, Dhar P, Das D. Deciphering Ferroptosis: From Molecular Pathways to Machine Learning-Guided Therapeutic Innovation. Mol Biotechnol 2024:10.1007/s12033-024-01139-0. [PMID: 38613722 DOI: 10.1007/s12033-024-01139-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Accepted: 03/11/2024] [Indexed: 04/15/2024]
Abstract
Ferroptosis is a unique form of cell death reliant on iron and lipid peroxidation. It disrupts redox balance, causing cell death by damaging the plasma membrane, with inducers acting through enzymatic pathways or transport systems. In cancer treatment, suppressing ferroptosis or circumventing it holds significant promise. Beyond cancer, ferroptosis affects aging, organs, metabolism, and nervous system. Understanding ferroptosis mechanisms holds promise for uncovering novel therapeutic strategies across a spectrum of diseases. However, detection and regulation of this regulated cell death are still mired with challenges. The dearth of cell, tissue, or organ-specific biomarkers muted the pharmacological use of ferroptosis. This review covers recent studies on ferroptosis, detailing its properties, key genes, metabolic pathways, and regulatory networks, emphasizing the interaction between cellular signaling and ferroptotic cell death. It also summarizes recent findings on ferroptosis inducers, inhibitors, and regulators, highlighting their potential therapeutic applications across diseases. The review addresses challenges in utilizing ferroptosis therapeutically and explores the use of machine learning to uncover complex patterns in ferroptosis-related data, aiding in the discovery of biomarkers, predictive models, and therapeutic targets. Finally, it discusses emerging research areas and the importance of continued investigation to harness the full therapeutic potential of targeting ferroptosis.
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Affiliation(s)
- Megha Mete
- Department of Bioengineering, National Institute of Technology Agartala, Agartala, Tripura, 799046, India
| | - Amiya Ojha
- Department of Bioengineering, National Institute of Technology Agartala, Agartala, Tripura, 799046, India
| | - Priyanka Dhar
- CSIR-Indian Institute of Chemical Biology, Kolkata, 700032, India
| | - Deeplina Das
- Department of Bioengineering, National Institute of Technology Agartala, Agartala, Tripura, 799046, India.
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Dai Y, Zhang H, Feng S, Guo C, Tian W, Sun Y, Zhang Y. SMG9 is a novel prognostic-related biomarker in glioma correlating with ferroptosis and immune infiltrates. Heliyon 2024; 10:e25716. [PMID: 38384572 PMCID: PMC10878878 DOI: 10.1016/j.heliyon.2024.e25716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 01/19/2024] [Accepted: 02/01/2024] [Indexed: 02/23/2024] Open
Abstract
Background Glioma is the most frequent type of malignancy that may damage the brain with high morbidity and mortality rates and patients' prognoses are still dismal. Ferroptosis, a newly uncovered mode of programmed cell death, may be triggered to destroy glioma cells. Nevertheless, the significance of ferroptosis-related genes (FRGs) in predicting prognosis in glioma individuals is still a mystery. Methods The CGGA (The Chinese Glioma Atlas), GEO (Gene Expression Omnibus), and TCGA (The Cancer Genome Atlas) databases were all searched to obtain the glioma expression dataset. First, TCGA was searched to identify differentially expressed genes (DEGs). This was followed by a machine learning algorithm-based screening of the glioma's most relevant genes. Additionally, these genes were subjected to Gene Ontology (GO) and KEGG (Kyoto Encyclopedia of Genes and Genomes) functional enrichment analyses. The chosen biological markers were then submitted to single-cell, immune function, and gene set enrichment analysis (GSEA). In addition, we performed functional enrichment and Mfuzz expression profile clustering on the most promising biological markers to delve deeper into their regulatory mechanisms and assess their clinical diagnostic capacities. Results We identified 4444 DEGs via differential analysis and 564 FRGs from the FerrDb database. The two were subjected to intersection analysis, which led to the discovery of 143 overlapping genes. After that, glioma biological markers were identified in fourteen genes by the use of machine learning methods. In terms of its use for clinical diagnosis, SMG9 stands out as the most significant among these biomarkers. Conclusion In light of these findings, the identification of SMG9 as a new biological marker has the potential to provide information on the mechanism of action and the effect of the immune milieu in glioma. The promise of SMG9 in glioma prognosis prediction warrants more study.
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Affiliation(s)
- Yong Dai
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, No. 666 Shengli Road, Nantong 226001, China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute & Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Huan Zhang
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, No. 666 Shengli Road, Nantong 226001, China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute & Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Sujuan Feng
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, No. 666 Shengli Road, Nantong 226001, China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute & Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Chao Guo
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, No. 666 Shengli Road, Nantong 226001, China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute & Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Wenjie Tian
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, No. 666 Shengli Road, Nantong 226001, China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute & Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yimei Sun
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, No. 666 Shengli Road, Nantong 226001, China
| | - Yi Zhang
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, No. 666 Shengli Road, Nantong 226001, China
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Mi Y, Shan H, Wang B, Tang H, Jia J, Liu X, Yang Q. Genipin inhibits proliferation of gastric cancer cells by inducing ferroptosis: an integrated study of network pharmacology and bioinformatics study. Med Oncol 2024; 41:46. [PMID: 38175425 DOI: 10.1007/s12032-023-02283-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 12/07/2023] [Indexed: 01/05/2024]
Abstract
Ferroptosis has been demonstrated to suppress cancer development and is targeted for cancer therapy. Genipin, an iridoid constituent in Gardeniae Fructus, has been reported to exert anti-cancer abilities. However, whether genipin could induce ferroptosis remains unclear. The purpose of this study is to explore the anti-gastric cancer (GC) effects of genipin by inducing ferroptosis and to identify the potential targets. CCK-8 and colony formation assays were performed to evaluate the anti-GC effects of genipin. Flowcytometry and western blot were used to indicate ferroptosis-inducing ability of genipin. The potential targets of genipin were analyzed by network pharmacology, screened using UALCAN and KM-plotter database and evaluated by molecular docking. The results showed that genipin inhibited cell viability and proliferation of GC cells. Genipin treatment decreased levels of GPX4 and SLC7A11, induced accumulation of lipid peroxidation intracellularly and led to ferroptosis in GC cells. Network pharmacology analysis identified that lipid- and ROS-related pathways involved in ferroptosis ranked high among genipin-GC common targets. Data from UALCAN and KM-plotter database demonstrated that expression levels of ferroptosis-related targets, including AURKA, BCAT2, DHODH, and GPI, increased in GC tissues and the higher levels of the above four targets were related to tumor stage, tumor grade, and poor prognosis. Among these four targets, AURKA, BCAT2, and DHODH were confirmed by molecular docking with binding energies less than - 5. Taken together, our study demonstrates that genipin could exert anti-GC ability by inducing ferroptosis and provides evidence for the potential application of genipin in GC treatment.
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Affiliation(s)
- Yalu Mi
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong, China
- Institute of Pathogen Biology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Hui Shan
- Institute of Pathogen Biology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Bo Wang
- Department of Traditional Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Huidi Tang
- Institute of Pathogen Biology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Jihui Jia
- Institute of Pathogen Biology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory for Experimental Teratology of the Chinese Ministry of Education, School of Basic Medical Science, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Infection and Immunity, Shandong University, Jinan, 250012, Shandong, China
| | - Xijian Liu
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong, China.
| | - Qing Yang
- Institute of Pathogen Biology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Key Laboratory for Experimental Teratology of the Chinese Ministry of Education, School of Basic Medical Science, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Shandong Key Laboratory of Infection and Immunity, Shandong University, Jinan, 250012, Shandong, China.
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Moubarak MM, Pagano Zottola AC, Larrieu CM, Cuvellier S, Daubon T, Martin OCB. Exploring the multifaceted role of NRF2 in brain physiology and cancer: A comprehensive review. Neurooncol Adv 2024; 6:vdad160. [PMID: 38221979 PMCID: PMC10785770 DOI: 10.1093/noajnl/vdad160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2024] Open
Abstract
Chronic oxidative stress plays a critical role in the development of brain malignancies due to the high rate of brain oxygen utilization and concomitant production of reactive oxygen species. The nuclear factor-erythroid-2-related factor 2 (NRF2), a master regulator of antioxidant signaling, is a key factor in regulating brain physiology and the development of age-related neurodegenerative diseases. Also, NRF2 is known to exert a protective antioxidant effect against the onset of oxidative stress-induced diseases, including cancer, along with its pro-oncogenic activities through regulating various signaling pathways and downstream target genes. In glioblastoma (GB), grade 4 glioma, tumor resistance, and recurrence are caused by the glioblastoma stem cell population constituting a small bulk of the tumor core. The persistence and self-renewal capacity of these cell populations is enhanced by NRF2 expression in GB tissues. This review outlines NRF2's dual involvement in cancer and highlights its regulatory role in human brain physiology and diseases, in addition to the development of primary brain tumors and therapeutic potential, with a focus on GB.
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Affiliation(s)
- Maya M Moubarak
- University of Bordeaux, CNRS, IBGC, UMR 5095, Bordeaux, France
| | | | | | | | - Thomas Daubon
- University of Bordeaux, CNRS, IBGC, UMR 5095, Bordeaux, France
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Jia M, Dong T, Cheng Y, Rong F, Zhang J, Lv W, Zhen S, Jia X, Cong B, Wu Y, Cui H, Hao P. Ceruloplasmin is associated with the infiltration of immune cells and acts as a prognostic biomarker in patients suffering from glioma. Front Pharmacol 2023; 14:1249650. [PMID: 37637428 PMCID: PMC10450624 DOI: 10.3389/fphar.2023.1249650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 08/01/2023] [Indexed: 08/29/2023] Open
Abstract
Glioma is regarded as a prevalent form of cancer that affects the Central Nervous System (CNS), with an aggressive growth pattern and a low clinical cure rate. Despite the advancement of the treatment strategy of surgical resection, chemoradiotherapy and immunotherapy in the last decade, the clinical outcome is still grim, which is ascribed to the low immunogenicity and tumor microenvironment (TME) of glioma. The multifunctional molecule, called ceruloplasmin (CP) is involved in iron metabolism. Its expression pattern, prognostic significance, and association with the immune cells in gliomas have not been thoroughly investigated. Studies using a variety of databases, including Chinese Glioma Genome Atlas (CGGA), The Cancer Genome Atlas (TCGA), and Gliovis, showed that the mRNA and protein expression levels of CP in patients suffering from glioma increased significantly with an increasing glioma grade. Kaplan-Meier (KM) curves and statistical tests highlighted a significant reduction in survival time of patients with elevated CP expression levels. According to Cox regression analysis, CP can be utilized as a stand-alone predictive biomarker in patients suffering from glioma. A significant association between CP expression and numerous immune-related pathways was found after analyzing the data using the Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA). Tumor Immune Estimation Resource (TIMER) and CIBERSORT analyses indicated a substantial correlation between the CP expression and infiltration of immunocytes in the TME. Additionally, immune checkpoints and CP expression in gliomas showed a favorable correlation. According to these results, patients with glioma have better prognoses and levels of tumor immune cell infiltration when their CP expression is low. As a result, CP could be used as a probable therapeutic target for gliomas and potentially anticipate the effectiveness of immunotherapy.
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Affiliation(s)
- Miaomiao Jia
- Department of Human Anatomy, Hebei Medical University, Shijiazhuang, Hebei, China
- International Cooperation Laboratory of Stem Cell Research, Shijiazhuang, China
- Postdoctoral Mobile Station of Biology, Hebei Medical University, Shijiazhuang, Hebei, China
- Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Tianyu Dong
- Department of Human Anatomy, Hebei Medical University, Shijiazhuang, Hebei, China
- International Cooperation Laboratory of Stem Cell Research, Shijiazhuang, China
| | - Yangyang Cheng
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fanghao Rong
- Department of Human Anatomy, Hebei Medical University, Shijiazhuang, Hebei, China
- International Cooperation Laboratory of Stem Cell Research, Shijiazhuang, China
| | - Jiamin Zhang
- Department of Human Anatomy, Hebei Medical University, Shijiazhuang, Hebei, China
- International Cooperation Laboratory of Stem Cell Research, Shijiazhuang, China
| | - Wei Lv
- Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Shuman Zhen
- Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Xianxian Jia
- Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Bin Cong
- Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yuming Wu
- Hebei Collaborative Innovation Center for Cardio Cerebrovascular Disease, Department of Physiology, Hebei Medical University, Shijiazhuang, China
| | - Huixian Cui
- Department of Human Anatomy, Hebei Medical University, Shijiazhuang, Hebei, China
- International Cooperation Laboratory of Stem Cell Research, Shijiazhuang, China
- Hebei Key Laboratory of Neurodegenerative Disease Mechanism, Shijiazhuang, China
| | - Peipei Hao
- Department of Human Anatomy, Hebei Medical University, Shijiazhuang, Hebei, China
- International Cooperation Laboratory of Stem Cell Research, Shijiazhuang, China
- Hebei Key Laboratory of Neurodegenerative Disease Mechanism, Shijiazhuang, China
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