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Azimi P, Yazdanian T, Ahmadiani A. mRNA markers for survival prediction in glioblastoma multiforme patients: a systematic review with bioinformatic analyses. BMC Cancer 2024; 24:612. [PMID: 38773447 PMCID: PMC11106946 DOI: 10.1186/s12885-024-12345-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 05/06/2024] [Indexed: 05/23/2024] Open
Abstract
BACKGROUND Glioblastoma multiforme (GBM) is a type of fast-growing brain glioma associated with a very poor prognosis. This study aims to identify key genes whose expression is associated with the overall survival (OS) in patients with GBM. METHODS A systematic review was performed using PubMed, Scopus, Cochrane, and Web of Science up to Journey 2024. Two researchers independently extracted the data and assessed the study quality according to the New Castle Ottawa scale (NOS). The genes whose expression was found to be associated with survival were identified and considered in a subsequent bioinformatic study. The products of these genes were also analyzed considering protein-protein interaction (PPI) relationship analysis using STRING. Additionally, the most important genes associated with GBM patients' survival were also identified using the Cytoscape 3.9.0 software. For final validation, GEPIA and CGGA (mRNAseq_325 and mRNAseq_693) databases were used to conduct OS analyses. Gene set enrichment analysis was performed with GO Biological Process 2023. RESULTS From an initial search of 4104 articles, 255 studies were included from 24 countries. Studies described 613 unique genes whose mRNAs were significantly associated with OS in GBM patients, of which 107 were described in 2 or more studies. Based on the NOS, 131 studies were of high quality, while 124 were considered as low-quality studies. According to the PPI network, 31 key target genes were identified. Pathway analysis revealed five hub genes (IL6, NOTCH1, TGFB1, EGFR, and KDR). However, in the validation study, only, the FN1 gene was significant in three cohorts. CONCLUSION We successfully identified the most important 31 genes whose products may be considered as potential prognosis biomarkers as well as candidate target genes for innovative therapy of GBM tumors.
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Affiliation(s)
- Parisa Azimi
- Neurosurgeon, Neuroscience Research Center, Shahid Beheshti University of Medical Sciences, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839- 63113, Iran.
| | | | - Abolhassan Ahmadiani
- Neurosurgeon, Neuroscience Research Center, Shahid Beheshti University of Medical Sciences, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839- 63113, Iran.
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Li Z, Guo Z, Xiao H, Chen X, Liu W, Zhou H. Simulating neuronal development: exploring potential mechanisms for central nervous system metastasis in acute lymphoblastic leukemia. Front Oncol 2024; 13:1331802. [PMID: 38239636 PMCID: PMC10794646 DOI: 10.3389/fonc.2023.1331802] [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: 11/01/2023] [Accepted: 12/07/2023] [Indexed: 01/22/2024] Open
Abstract
Background Acute lymphoblastic leukemia (ALL) is prone to metastasize to the central nervous system (CNS), which is an important cause of poor treatment outcomes and unfavorable prognosis. However, the pathogenesis of CNS metastasis of ALL cells has not been fully illuminated. Recent reports have shed some light on the correlation between neural mechanisms and ALL CNS metastasis. These progressions prompt us to study the relationship between ALL central nervous system metastasis and neuronal development, exploring potential biomarkers and therapeutic targets of CNS metastasis. Materials and methods ALL central nervous system metastasis- and neuronal development-related differentially expressed genes (DEGs) were identified by analyzing gene expression datasets GSE60926 and GSE13715. Target prediction and network analysis methods were applied to assess protein-protein interaction networks. Gene Ontology (GO) terms and pathway enrichment for DEGs were assessed. Co-expressed differentially expressed genes (co-DEGs) coupled with corresponding predicted microRNAs (miRNAs) were studied as well. Reverse transcription-polymerase chain reaction (RT-PCR) and flow cytometry were employed for the validation of key co-DEGs in primary ALL cells. Furthermore, ALL cells were treated with a vascular endothelial growth factor (VEGF) inhibitor to block neuronal development and assess changes in the co-DEGs. Results We identified 216, 208, and 204 DEGs in ALL CNS metastasis specimens and neuronal development samples (GSE60926 and GSE13715). CD2, CD3G, CD3D, and LCK may be implicated in ALL CNS metastasis. LAMB1, MATN3, IGFBP3, LGALS1, and NEUROD1 may be associated with neuronal development. Specifically, four co-DEGs (LGALS1, TMEM71, SHISA2, and S100A11) may link ALL central nervous system metastasis and neuronal development process. The miRNAs for each co-DEG could be potential biomarkers or therapeutic targets for ALL central nervous system metastasis, especially hsa-miR-22-3p, hsa-miR-548t-5p, and hsa-miR-6134. Additionally, four co-DEGs (LGALS1, TMEM71, SHISA2, and S100A11) were validated in CNS-infiltrated ALL cells. The VEGF inhibitor demonstrated a suppressive effect on mRNA and protein expression of key co-DEGs. Conclusion The bioinformatic survey and key gene validation suggest a possible correlation between ALL CNS metastasis and the neuronal development process. Simulating the neuronal development process might be a possible strategy for CNS metastasis in ALL. LGALS1, TMEM71, SHISA2, and S100A11 genes are promising and novel biomarkers and targets in ALL CNS metastasis.
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Affiliation(s)
- Ziping Li
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhi Guo
- Department of Hematology, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China
| | - Haitao Xiao
- Department of Anatomy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Neurological Diseases of Ministry of Education, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuexing Chen
- Institute of Hematology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China
| | - Wei Liu
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hao Zhou
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Gao D, Wang P, Zhi L, Sun S, Qiu X, Liu Y. Expression of TMEM59L associated with radiosensitive in glioblastoma. JOURNAL OF RADIATION RESEARCH 2023; 64:833-841. [PMID: 37439405 PMCID: PMC10516732 DOI: 10.1093/jrr/rrad053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 06/13/2023] [Indexed: 07/14/2023]
Abstract
Radiotherapy is one of the cornerstone of the glioblastoma treatment paradigm. However, the resistance of tumor cells to radiation results in poor survival. The mechanism of radioresistance has not been fully elucidated. This study aimed to screen the differential expressed genes related with radiosensitivity. The differentially expressed genes were screened based on RNA sequencing in 15 pairs of primary and recurrent glioblastoma that have undergone radiotherapy. Candidate genes were validated in 226 primary and 134 recurrent glioblastoma (GBM) obtained from the Chinese Glioma Genome Atlas (CGGA) database. RNA and protein expression were verified by Quantitative Real-time PCR (qPCR) and western blot in irradiated GBM cell lines. The candidate gene was investigated to explore the relationship between mRNA levels and clinical characteristics in the CGGA and The Cancer Genome Atlas dataset. Kaplan-Meier survival analysis and Cox regression analysis were used for survival analysis. Gene ontology and KEGG pathway analysis were used for bioinformatics analysis. Four genes (TMEM59L, Gelsolin, ZBTB7A and ATX) were screened. TMEM59L expression was significantly elevated in recurrent glioblastoma and lower in normal brain tissue. We selected TMEM59L as the target gene for further study. The increasing of TMEM59L expression induced by radiation was confirmed by mRNA and western blot in irradiated GBM cell. Further investigation revealed that high expression of TMEM59L was enriched in IDH mutant and MGMT methylated gliomas and associated with a better prognosis. Gene ontology and KEGG pathway analysis revealed that TMEM59L was closely related to the DNA damage repair and oxidative stress respond process. We speculated that the high expression of TMEM59L might enhance radiotherapy sensitivity by increasing ROS-induced DNA damage and inhibiting DNA damage repair process.
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Affiliation(s)
- Dezhi Gao
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- Department of Gamma-Knife Center, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
| | - Peng Wang
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- Department of Radiation Oncology, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
| | - Lin Zhi
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- Department of Radiation Oncology, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
| | - Shibin Sun
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- Department of Gamma-Knife Center, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
| | - Xiaoguang Qiu
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- Department of Radiation Oncology, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
| | - Yanwei Liu
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- Department of Radiation Oncology, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
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Zhang X, Ren Q, Li Z, Xia X, Zhang W, Qin Y, Wu D, Ren C. Exploration of the radiosensitivity-related prognostic risk signature in patients with glioma: evidence from microarray data. J Transl Med 2023; 21:618. [PMID: 37700319 PMCID: PMC10496232 DOI: 10.1186/s12967-023-04388-w] [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: 05/05/2023] [Accepted: 07/24/2023] [Indexed: 09/14/2023] Open
Abstract
BACKGROUND Gene expression signatures can be used as prognostic biomarkers in various types of cancers. We aim to develop a gene signature for predicting the response to radiotherapy in glioma patients. METHODS Radio-sensitive and radio-resistant glioma cell lines (M059J and M059K) were subjected to microarray analysis to screen for differentially expressed mRNAs. Additionally, we obtained 169 glioblastomas (GBM) samples and 5 normal samples from The Cancer Genome Atlas (TCGA) database, as well as 80 GBM samples and 4 normal samples from the GSE7696 set. The "DESeq2" R package was employed to identify differentially expressed genes (DEGs) between the normal brain samples and GBM samples. Combining the prognostic-related molecules identified from the TCGA, we developed a radiosensitivity-related prognostic risk signature (RRPRS) in the training set, which includes 152 patients with glioblastoma. Subsequently, we validated the reliability of the RRPRS in a validation set containing 616 patients with glioma from the TCGA database, as well as an internal validation set consisting of 31 glioblastoma patients from the Nanfang Hospital, Southern Medical University. RESULTS Based on the microarray and LASSO COX regression analysis, we developed a nine-gene radiosensitivity-related prognostic risk signature. Patients with glioma were divided into high- or low-risk groups based on the median risk score. The Kaplan-Meier survival analysis showed that the progression-free survival (PFS) of the high-risk group was significantly shorter. The signature accurately predicted PFS as assessed by time-dependent receiver operating characteristic curve (ROC) analyses. Stratified analysis demonstrated that the signature is specific to predict the outcome of patients who were treated using radiotherapy. Univariate and multivariate Cox regression analysis revealed that the predictor was an independent predictor for the prognosis of patients with glioma. The prognostic nomograms accompanied by calibration curves displayed the 1-, 2-, and 3-year PFS and OS in patients with glioma. CONCLUSION Our study established a new nine-gene radiosensitivity-related prognostic risk signature that can predict the prognosis of patients with glioma who received radiotherapy. The nomogram showed great potential to predict the prognosis of patients with glioma treated using radiotherapy.
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Affiliation(s)
- Xiaonan Zhang
- Department of Radiation Oncology, Nanfang Hospital of Southern Medical University, Guangzhou, China
| | - Qiannan Ren
- Department of Radiation Oncology, Nanfang Hospital of Southern Medical University, Guangzhou, China
| | - Zhiyong Li
- Department of Neurosurgery, Nanfang Hospital of Southern Medical University, Guangzhou, China
| | - Xiaolin Xia
- Department of Radiation Oncology, Yunfu People's Hospital, Yunfu, Guangdong, China
| | - Wan Zhang
- Department of Radiation Oncology, Nanfang Hospital of Southern Medical University, Guangzhou, China
| | - Yue Qin
- Department of Radiation Oncology, Nanfang Hospital of Southern Medical University, Guangzhou, China
| | - Dehua Wu
- Department of Radiation Oncology, Nanfang Hospital of Southern Medical University, Guangzhou, China.
| | - Chen Ren
- Department of Radiation Oncology, Nanfang Hospital of Southern Medical University, Guangzhou, China.
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Lu Q, Lu X, Zhang Y, Huang W, Zhou H, Li T. Recent advances in ferroptosis and therapeutic strategies for glioblastoma. Front Mol Biosci 2023; 9:1068437. [PMID: 36710875 PMCID: PMC9880056 DOI: 10.3389/fmolb.2022.1068437] [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: 10/12/2022] [Accepted: 12/02/2022] [Indexed: 01/15/2023] Open
Abstract
Ferroptosis is an emerging form of cell death characterized by the over-accumulation of iron-dependent lipid peroxidation. Ferroptosis directly or indirectly disturbs glutathione peroxidases cycle through diverse pathways, impacting the cellular antioxidant capacities, aggravating accumulation of reactive oxygen species in lipid, and it finally causes oxidative overload and cell death. Ferroptosis plays a significant role in the pathophysiological processes of many diseases. Glioblastoma is one of the most common primary malignant brain tumors in the central nervous system in adults. Although there are many treatment plans for it, such as surgical resection, radiotherapy, and chemotherapy, they are currently ineffective and the recurrent rate is almost up to 100%. The therapies abovementioned have a strong relationship with ferroptosis at the cellular and molecular level according to the results reported by numerous researchers. The regulation of ferroptosis can significantly determine the outcome of the cells of glioblastoma. Thus ferroptosis, as a regulated form of programed cell death, has the possibility for treating glioblastoma.
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Affiliation(s)
- Qixiong Lu
- The Affiliated Hospital of Kunming University of Science and Technology, Department of Neurosurgery, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Xiaoyang Lu
- Department of Neurosurgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Yuansheng Zhang
- The Affiliated Hospital of Kunming University of Science and Technology, Department of Neurosurgery, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Wei Huang
- Department of Neurosurgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Hu Zhou
- Department of Neurosurgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China,*Correspondence: Hu Zhou, ; Tao Li,
| | - Tao Li
- Department of Neurosurgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China,*Correspondence: Hu Zhou, ; Tao Li,
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Manaig YJY, Mármol-Sánchez E, Castelló A, Esteve-Codina A, Sandrini S, Savoini G, Agazzi A, Sánchez A, Folch JM. Exon-intron split analysis reveals posttranscriptional regulatory signals induced by high and low n-6/n-3 polyunsaturated fatty acid ratio diets in piglets. J Anim Sci 2023; 101:skad271. [PMID: 37561402 PMCID: PMC10503648 DOI: 10.1093/jas/skad271] [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: 05/06/2023] [Accepted: 08/08/2023] [Indexed: 08/11/2023] Open
Abstract
Polyunsaturated fatty acids (PUFA), such as omega-6 (n-6) and omega-3 (n-3), play a vital role in nutrient metabolism, inflammatory response, and gene regulation. microRNAs (miRNA), which can potentially degrade targeted messenger RNAs (mRNA) and/or inhibit their translation, might play a relevant role in PUFA-related changes in gene expression. Although differential expression analyses can provide a comprehensive picture of gene expression variation, they are unable to disentangle when in the mRNA life cycle the regulation of expression is taking place, including any putative functional miRNA-driven repression. To capture this, we used an exon-intron split analysis (EISA) approach to account for posttranscriptional changes in response to extreme values of n-6/n-3 PUFA ratio. Longissimus dorsi muscle samples of male and female piglets from sows fed with n-6/n-3 PUFA ratio of 13:1 (SOY) or 4:1 (LIN), were analyzed in a bidirectional contrast (LIN vs. SOY, SOY vs. LIN). Our results allowed the identification of genes showing strong posttranscriptional downregulation signals putatively targeted by significantly upregulated miRNA. Moreover, we identified genes primarily involved in the regulation of lipid-related metabolism and immune response, which may be associated with the pro- and anti-inflammatory functions of the n-6 and n-3 PUFA, respectively. EISA allowed us to uncover regulatory networks complementing canonical differential expression analyses, thus providing a more comprehensive view of muscle metabolic changes in response to PUFA concentration.
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Affiliation(s)
- Yron Joseph Yabut Manaig
- Departament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona, Barcelona 08193, Spain
- Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus Universitat Autònoma de Barcelona, Barcelona 08193, Spain
- Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Lodi 26900, Italy
| | - Emilio Mármol-Sánchez
- Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm 11418, Sweden
- Centre for Palaeogenetics, Stockholm 10691, Sweden
| | - Anna Castelló
- Departament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona, Barcelona 08193, Spain
- Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus Universitat Autònoma de Barcelona, Barcelona 08193, Spain
| | - Anna Esteve-Codina
- Functional Genomics, CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona 08028, Spain
| | - Silvia Sandrini
- Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Lodi 26900, Italy
| | - Giovanni Savoini
- Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Lodi 26900, Italy
| | - Alessandro Agazzi
- Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Lodi 26900, Italy
| | - Armand Sánchez
- Departament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona, Barcelona 08193, Spain
- Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus Universitat Autònoma de Barcelona, Barcelona 08193, Spain
| | - Josep M Folch
- Departament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona, Barcelona 08193, Spain
- Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus Universitat Autònoma de Barcelona, Barcelona 08193, Spain
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Kim H, Jeong HY, Batara DC, Moon C, Lee S, Lee SJ, Park S, Choi M, Kim S. Downregulation of ADAMTS3 Suppresses Stemness and Tumorigenicity in Glioma Stem Cell. CNS Neurosci Ther 2022; 29:682-690. [PMID: 36514188 PMCID: PMC9873505 DOI: 10.1111/cns.14052] [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: 08/01/2022] [Revised: 09/20/2022] [Accepted: 10/03/2022] [Indexed: 12/15/2022] Open
Abstract
AIMS Glioblastoma multiforme (GBM) is the most aggressive type of human brain tumor, with a poor prognosis and a median overall survival of fewer than 15 months. Glioma stem cells (GSCs) have recently been identified as a key player in tumor initiation and therapeutic resistance in GBM. ADAMTS family of metalloproteinases is known to cleave a wide range of extracellular matrix substrates and has been linked to tissue remodeling events in tumor development. Here, we investigate that ADAMTS3 regulates GSC proliferation and self-renewal activities, and tumorigenesis in orthotopic xenograft models. METHODS ADAMTS3 mRNA expression levels in normal human astrocyte (NHA), glioma, and GSCs cell lines were compared. After knockdown of ADAMTS3, alamarBlue assay, in vitro limiting dilution, and orthotopic xenograft assays were performed. To investigate the tumor-associated roles of ADAMTS3, several statistical assays were conducted using publicly available datasets. RESULTS ADAMTS3 level was remarkably higher in GSCs than in NHA, glioma cell lines, and their matched differentiated tumor cells. Interestingly, knockdown of ADAMTS3 disrupted GSC's proliferation, self-renewal activity, and tumor formation in vivo. Furthermore, ADAMTS3 could be used as an independent predictor of malignancy progression in GBM. CONCLUSION We identified ADAMTS3 as a potential therapeutic target for GBM.
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Affiliation(s)
- Hyun‐Jin Kim
- Department of Animal Science, College of Agriculture and Life SciencesChonnam National UniversityGwangjuKorea
| | - Hang Yeon Jeong
- Department of Animal Science, College of Agriculture and Life SciencesChonnam National UniversityGwangjuKorea
| | - Don Carlo Batara
- Department of Animal Science, College of Agriculture and Life SciencesChonnam National UniversityGwangjuKorea
| | - Changjong Moon
- Department of Veterinary Anatomy and Animal BehaviorCollege of Veterinary Medicine and BK21 FOUR Program, Chonnam National UniversityGwangjuKorea
| | - Seongsoo Lee
- Gwangju CenterKorea Basic Science InstituteGwangjuKorea
| | - Suk Jun Lee
- Department of Biomedical Laboratory ScienceCollege of Health & Medical Sciences, Cheongju UniversityChungbukKorea
| | - Sang‐Ik Park
- Laboratory of Veterinary PathologyCollege of Veterinary Medicine and BK21 Plus Project Team, Chonnam National UniversityGwangjuKorea
| | - Moon‐Chang Choi
- Department of Biomedical ScienceChosun UniversityGwangjuKorea
| | - Sung‐Hak Kim
- Department of Animal Science, College of Agriculture and Life SciencesChonnam National UniversityGwangjuKorea
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The Role of Dendritic Cells in the Host Response to Marek’s Disease Virus (MDV) as Shown by Transcriptomic Analysis of Susceptible and Resistant Birds. Pathogens 2022; 11:pathogens11111340. [DOI: 10.3390/pathogens11111340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/08/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022] Open
Abstract
Despite the successful control of highly contagious tumorigenic Marek’s disease (MD) by vaccination, a continuous increase in MD virus (MDV) virulence over recent decades has put emphasis on the development of more MD-resistant chickens. The cell types and genes involved in resistance therefore need to be recognized. The virus is primarily lymphotropic, but research should also focus on innate immunity, as innate immune cells are among the first to encounter MDV. Our previous study on MDV–macrophage interaction revealed significant differences between MHC-congenic lines 61 (MD-resistant) and 72 (MD-susceptible). To investigate the role of dendritic cells (DCs) in MD resistance, bone-marrow-derived DCs from these lines were infected with MDV in vitro. They were then characterized by cell sorting, and the respective transcriptomes analysed by RNA-seq. The differential expression (DE) of genes revealed a strong immune activation in DCs of the susceptible line, although an inherent immune supremacy was shown by the resistant line, including a significant expression of tumour-suppressor miRNA, gga-mir-124a, in line 61 control birds. Enrichment analysis of DE genes revealed high expression of an oncogenic transcription factor, AP-1, in the susceptible line following MDV challenge. This research highlights genes and pathways that may play a role in DCs in determining resistance or susceptibility to MDV infection.
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Xu H, Zhang L, Gao J, Wang J, Wang Y, Xiao D, Chai S. Molecular and clinical features of a potential immunotherapy target ELK3 in glioma. Medicine (Baltimore) 2022; 101:e29544. [PMID: 35905257 PMCID: PMC9333475 DOI: 10.1097/md.0000000000029544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Glioma represents the most prevalent malignant primary brain cancer, and its treatment remains a tremendous challenge. Novel and efficient molecular targets are therefore required for improving diagnosis, survival prediction, and treatment outcomes. Additionally, some studies have shown that immunity is highly associated with glioma progression. Our study aimed to investigate the clinicopathological features, prognostic significance, and immunotherapeutic targetability of ELK3, a member of the erythroblast transformation-specific transcription factor family, in glioma using bioinformatics analyses. ELK3 transcript levels in glioma tissues were evaluated using the Gene Expression Omnibus and The Cancer Genome Atlas databases. Clinical and transcriptomic data of The Cancer Genome Atlas glioma patients were analyzed to identify the molecular and clinical characterizations of ELK3. The prognostic significance of ELK3 was assessed using Cox regression and Kaplan-Meier analysis. The biological pathways related to ELK3 expression were identified by gene set enrichment analysis. The relationships between ELK3 and inflammatory responses, immune cell infiltration, and immune checkpoints were explored using canonical correlation analysis and gene set variation analysis. ELK3 was upregulated in gliomas, and its high expression was correlated with advanced clinicopathologic features and unfavorable prognosis. Gene set enrichment analysis revealed that several immune-related pathways were tightly linked to high ELK3 expression. gene set variation analysis and correlograms demonstrated that ELK3 was robustly associated with inflammatory and immune responses. Correlation analyses indicated that ELK3 was positively associated with infiltrating immune cells and synergistic with several immune checkpoints. ELK3 may serve as a novel marker of poor prognosis and a potential immunotherapeutic target in glioma.
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Affiliation(s)
- Hao Xu
- Department of Neurosurgery, Wuhan Changjiang Shipping General Hospital, Wuhan, China
| | - Li Zhang
- School of Information Management, Wuhan University, Wuhan, China
| | - Jin Gao
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jiajing Wang
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yihao Wang
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dongdong Xiao
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Songshan Chai
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
- *Correspondence: Songshan Chai, Department of Neurosurgery, Zhongnan Hospital of Wuhan University, No. 169, Donghu Road, Wuhan, Hubei 430071, China (e-mail: )
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Geng A, Flint E, Bernsmeier C. Plasticity of monocytes and macrophages in cirrhosis of the liver. FRONTIERS IN NETWORK PHYSIOLOGY 2022; 2:937739. [PMID: 36926073 PMCID: PMC10013015 DOI: 10.3389/fnetp.2022.937739] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 06/27/2022] [Indexed: 06/06/2023]
Abstract
Cirrhosis of the liver is a systemic condition with raising prevalence worldwide. Patients with cirrhosis are highly susceptible to develop bacterial infections leading to acute decompensation and acute-on-chronic liver failure both associated with a high morbidity and mortality and sparse therapeutic options other than transplantation. Mononuclear phagocytes play a central role in innate immune responses and represent a first line of defence against pathogens. Their function includes phagocytosis, killing of bacteria, antigen presentation, cytokine production as well as recruitment and activation of immune effector cells. Liver injury and development of cirrhosis induces activation of liver resident Kupffer cells and recruitment of monocytes to the liver. Damage- and pathogen-associated molecular patterns promote systemic inflammation which involves multiple compartments besides the liver, such as the circulation, gut, peritoneal cavity and others. The function of circulating monocytes and tissue macrophages is severely impaired and worsens along with cirrhosis progression. The underlying mechanisms are complex and incompletely understood. Recent 'omics' technologies help to transform our understanding of cellular diversity and function in health and disease. In this review we point out the current state of knowledge on phenotypical and functional changes of monocytes and macrophages during cirrhosis evolution in different compartments and their role in disease progression. We also discuss the value of potential prognostic markers for cirrhosis-associated immuneparesis, and future immunotherapeutic strategies that may reduce the need for transplantation and death.
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Affiliation(s)
- Anne Geng
- Translational Hepatology, Department of Biomedicine, University of Basel, Basel, Switzerland
- Department of Biomedicine, University of Basel and University Centre for Gastrointestinal and Liver Diseases, Basel, Switzerland
| | - Emilio Flint
- Translational Hepatology, Department of Biomedicine, University of Basel, Basel, Switzerland
- Department of Biomedicine, University of Basel and University Centre for Gastrointestinal and Liver Diseases, Basel, Switzerland
| | - Christine Bernsmeier
- Translational Hepatology, Department of Biomedicine, University of Basel, Basel, Switzerland
- Department of Biomedicine, University of Basel and University Centre for Gastrointestinal and Liver Diseases, Basel, Switzerland
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11
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Yang G, Shan D, Zhao R, Li G. Metabolism-Associated DNA Methylation Signature Stratifies Lower-Grade Glioma Patients and Predicts Response to Immunotherapy. Front Cell Dev Biol 2022; 10:902298. [PMID: 35784470 PMCID: PMC9240391 DOI: 10.3389/fcell.2022.902298] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 05/23/2022] [Indexed: 11/24/2022] Open
Abstract
Metabolism and DNA methylation (DNAm) are closely linked. The value of the metabolism-DNAm interplay in stratifying glioma patients has not been explored. In the present study, we aimed to stratify lower-grade glioma (LGG) patients based on the DNAm associated with metabolic reprogramming. Four data sets of LGGs from three databases (TCGA/CGGA/GEO) were used in this study. By screening the Kendall’s correlation of DNAm with 87 metabolic processes from KEGG, we identified 391 CpGs with a strong correlation with metabolism. Based on these metabolism-associated CpGs, we performed consensus clustering and identified three distinct subgroups of LGGs. These three subgroups were characterized by distinct molecular features and clinical outcomes. We also constructed a subgroup-related, quantifiable CpG signature with strong prognostic power to stratify LGGs. It also serves as a potential biomarker to predict the response to immunotherapy. Overall, our findings provide new perspectives for the stratification of LGGs and for understanding the mechanisms driving malignancy.
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Affiliation(s)
- Guozheng Yang
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Dezhi Shan
- Department of Neurosurgery, Beijing Hospital, Chinese Academy of Medical Sciences, Graduate School of Peking Union Medical College, Beijing, China
| | - Rongrong Zhao
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
- Shandong Key Laboratory of Brain Function Remodeling, Jinan, China
| | - Gang Li
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
- Shandong Key Laboratory of Brain Function Remodeling, Jinan, China
- *Correspondence: Gang Li,
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12
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Cidre-Aranaz F, Li J, Hölting TLB, Orth MF, Imle R, Kutschmann S, Ammirati G, Ceranski K, Carreño-Gonzalez MJ, Kasan M, Marchetto A, Funk CM, Bestvater F, Bersini S, Arrigoni C, Moretti M, Thiel U, Baumhoer D, Sahm F, Pfister SM, Hartmann W, Dirksen U, Romero-Pérez L, Banito A, Ohmura S, Musa J, Kirchner T, Knott MML, Grünewald TGP. Integrative gene network and functional analyses identify a prognostically relevant key regulator of metastasis in Ewing sarcoma. Mol Cancer 2022; 21:1. [PMID: 34980141 PMCID: PMC8722160 DOI: 10.1186/s12943-021-01470-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 11/24/2021] [Indexed: 12/22/2022] Open
Affiliation(s)
- Florencia Cidre-Aranaz
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Translational Pediatric Sarcoma Research (B410), German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
| | - Jing Li
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Translational Pediatric Sarcoma Research (B410), German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
| | - Tilman L B Hölting
- Max-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Martin F Orth
- Max-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Roland Imle
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Soft-Tissue Sarcoma Junior Research Group, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
- Division of Pediatric Surgery, Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Stefanie Kutschmann
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Translational Pediatric Sarcoma Research (B410), German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
| | - Giulia Ammirati
- Regenerative Medicine Technologies Laboratory, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland
| | - Katharina Ceranski
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Translational Pediatric Sarcoma Research (B410), German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
| | - Martha Julia Carreño-Gonzalez
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Translational Pediatric Sarcoma Research (B410), German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
| | - Merve Kasan
- Max-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Aruna Marchetto
- Max-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Cornelius M Funk
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Translational Pediatric Sarcoma Research (B410), German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
| | - Felix Bestvater
- Light Microscopy Facility (W210), German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Simone Bersini
- Regenerative Medicine Technologies Laboratory, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland
| | - Chiara Arrigoni
- Regenerative Medicine Technologies Laboratory, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland
| | - Matteo Moretti
- Regenerative Medicine Technologies Laboratory, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland
- Biomedical Sciences Faculty, Università della Svizzera Italiana (USI), Lugano, Switzerland
| | - Uwe Thiel
- Technical University of Munich, School of Medicine, Department of Pediatrics and Children's Cancer Research Center, Munich, Germany
| | - Daniel Baumhoer
- Bone Tumor Reference Center, Institute of Pathology of the University Hospital of Basel, Basel, Switzerland
| | - Felix Sahm
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Clinical Cooperation Unit (CCU) Neuropathology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
- Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan M Pfister
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Pediatric Neuro-Oncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Wolfgang Hartmann
- Division of Translational Pathology, Gerhard-Domagk-Institute for Pathology, University Hospital Münster, Münster, Germany
| | - Uta Dirksen
- Pediatrics III, AYA Unit, West German Cancer Centre, University Hospital Essen, Essen, Germany
- German Cancer Consortium (DKTK), partner site Essen, Essen, Germany
| | - Laura Romero-Pérez
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Translational Pediatric Sarcoma Research (B410), German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
| | - Ana Banito
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Soft-Tissue Sarcoma Junior Research Group, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Shunya Ohmura
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Translational Pediatric Sarcoma Research (B410), German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
| | - Julian Musa
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Translational Pediatric Sarcoma Research (B410), German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Thomas Kirchner
- Max-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Maximilian M L Knott
- Max-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Thomas G P Grünewald
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany.
- Division of Translational Pediatric Sarcoma Research (B410), German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany.
- Max-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany.
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
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13
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Li J, Zhao YH, Tian SF, Xu CS, Cai YX, Li K, Cheng YB, Wang ZF, Li ZQ. Genetic alteration and clonal evolution of primary glioblastoma into secondary gliosarcoma. CNS Neurosci Ther 2021; 27:1483-1492. [PMID: 34605602 PMCID: PMC8611784 DOI: 10.1111/cns.13740] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 08/10/2021] [Accepted: 08/11/2021] [Indexed: 01/02/2023] Open
Abstract
Aims Secondary gliosarcoma (SGS) rarely arises post treatment of primary glioblastoma multiforme (GBM), and contains gliomatous and sarcomatous components. The origin and clonal evolution of SGS sarcomatous components remain uncharacterized. Therapeutic radiation is mutagenic and can induce sarcomas in patients with other tumor phenotypes, but possible causal relationships between radiotherapy and induction of SGS sarcomatous components remain unexplored. Herein, we investigated the clonal origin of SGS in a patient with primary GBM progressing into SGS post‐radiochemotherapy. Methods Somatic mutation profile in GBM and SGS was examined using whole‐genome sequencing and deep‐whole‐exome sequencing. Mutation signatures were characterized to investigate relationships between radiochemotherapy and SGS pathogenesis. Results A mutation cluster containing two founding mutations in tumor‐suppressor genes NF1 (variant allele frequency [VAF]: 50.0% in GBM and 51.1% in SGS) and TP53 (VAF: 26.7% in GBM and 50.8% in SGS) was shared in GBM and SGS. SGS exhibited an overpresented C>A (G>T) transversion (oxidative DNA damage signature) but no signature 11 mutations (alkylating‐agents – exposure signature). Since radiation induces DNA lesions by generating reactive oxygen species, the mutations observed in this case of SGS were likely the result of radiotherapy rather than chemotherapy. Conclusions Secondary gliosarcoma components likely have a monoclonal origin, and the clone possessing mutations in NF1 and TP53 was likely the founding clone in this case of SGS.
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Affiliation(s)
- Jie Li
- Brain Glioma Center, Zhongnan Hospital of Wuhan University, Wuhan, China.,Department of Physiology, Wuhan University School of Basic Medical Sciences, Wuhan, China
| | - Yu-Hang Zhao
- Brain Glioma Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Su-Fang Tian
- Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Cheng-Shi Xu
- Brain Glioma Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yu-Xiang Cai
- Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Kai Li
- Brain Glioma Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yan-Bing Cheng
- Wuhan Frasergen Bioinformatics Company Limited, Wuhan, China
| | - Ze-Fen Wang
- Brain Glioma Center, Zhongnan Hospital of Wuhan University, Wuhan, China.,Department of Physiology, Wuhan University School of Basic Medical Sciences, Wuhan, China
| | - Zhi-Qiang Li
- Brain Glioma Center, Zhongnan Hospital of Wuhan University, Wuhan, China
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14
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Xu S, Li X, Tang L, Liu Z, Yang K, Cheng Q. CD74 Correlated With Malignancies and Immune Microenvironment in Gliomas. Front Mol Biosci 2021; 8:706949. [PMID: 34540893 PMCID: PMC8440887 DOI: 10.3389/fmolb.2021.706949] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 08/19/2021] [Indexed: 12/29/2022] Open
Abstract
Background: Cluster of differentiation 74 (CD74) is found to be highly involved in the development of various types of cancers and could affect the activities of infiltrated cells in the tumor microenvironment. However, these studies only focus on a few types of immune cells. Our study aims to comprehensively explore the role of CD74 in glioma prognosis and immune microenvironment. Methods: A total of 40 glioma specimens were collected in this study. We extracted data from The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and Gene-Expression Omnibus (GEO) databases to explore the expression pattern of CD74 in gliomas. gene sets enrichment analysis and gene set variation analysis analyses were conducted to characterize the immune features of CD74. ESTIMATE, ssGSEA, Tumor IMmune Estimation Resource, and CIBERSORT algorithms were applied to assess the immune infiltration. Kaplan-Meier analysis was used for survival analysis. Receiver operating characteristic analysis was used to evaluate the predictive accuracy of CD74 in glioma diagnosis and prognosis. Results: A total of 2,399 glioma patients were included in our study. CD74 was highly expressed in glioma tissue compared to normal brain tissue and its expression was significantly higher in the high-grade glioma compared to the lower grade glioma at transcriptional and translational levels. Besides, CD74 was positively associated with immune checkpoints and inflammatory cytokines as well as immune processes including cytokine secretion and leukocyte activation. The high expression of CD74 indicated a high infiltration of immune cells such as macrophages, dendritic cells, and neutrophils. Moreover, patients with high expression of CD74 had poor prognoses. CD74 had moderate predictive accuracy in the diagnosis of glioblastoma and prediction of survival. Conclusions: In conclusion, our study revealed that the high expression of CD74 was associated with poor prognosis and high immune infiltration. CD74 could be used as a potential target for glioma treatment and as a biomarker to predict the prognosis of glioma patients.
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Affiliation(s)
- Shengchao Xu
- Department of Neurosurgery, Xiangya Hospital of Central South University, Changsha, China
| | - Xizhe Li
- Department of Thoracic Surgery, Xiangya Hospital of Central South University, Changsha, China
| | - Lu Tang
- Department of Thoracic Surgery, Xiangya Hospital of Central South University, Changsha, China
| | - Zhixiong Liu
- Department of Neurosurgery, Xiangya Hospital of Central South University, Changsha, China
| | - Kui Yang
- Department of Neurosurgery, Xiangya Hospital of Central South University, Changsha, China
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital of Central South University, Changsha, China.,Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Hunan, China
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15
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Liu F, Shao J, Yang H, Yang G, Zhu Q, Wu Y, Zhu L, Wu H. Disruption of rack1 suppresses SHH-type medulloblastoma formation in mice. CNS Neurosci Ther 2021; 27:1518-1530. [PMID: 34480519 PMCID: PMC8611787 DOI: 10.1111/cns.13728] [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: 03/30/2021] [Revised: 08/19/2021] [Accepted: 08/24/2021] [Indexed: 11/27/2022] Open
Abstract
Introduction Medulloblastoma (MB) is a malignant pediatric brain tumor that arises in the cerebellar granular neurons. Sonic Hedgehog subtype of MB (SHH‐MB) is one of the major subtypes of MB in the clinic. However, the molecular mechanisms underlying MB tumorigenesis are still not fully understood. Aims Our previous work demonstrated that the receptor for activated C kinase 1 (Rack1) is essential for SHH signaling activation in granule neuron progenitors (GNPs) during cerebellar development. To investigate the potential role of Rack1 in MB development, human MB tissue array and SHH‐MB genetic mouse model were used to study the expression of function of Rack1 in MB pathogenesis. Results We found that the expression of Rack1 was significantly upregulated in the majority of human cerebellar MB tumors. Genetic ablation of Rack1 expression in SHH‐MB tumor mice could significantly inhibit MB proliferation, reduce the tumor size, and prolong the survival of tumor rescue mice. Interestingly, neither apoptosis nor autophagy levels were affected in Rack1‐deletion rescue mice compared to WT mice, but the expression of Gli1 and HDAC2 was significantly decreased suggesting the inactivation of SHH signaling pathway in rescue mice. Conclusion Our results demonstrated that Rack1 may serve as a potential candidate for the diagnostic marker and therapeutic target of MB, including SHH‐MB.
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Affiliation(s)
- Fengjiao Liu
- Department of Neurobiology, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Jingyuan Shao
- Department of Neurobiology, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Haihong Yang
- Department of Anesthesiology, The General Hospital of Western Theater Command, Chengdu, China
| | - Guochao Yang
- School of Basic Medicine, Qingdao University, Qingdao, China
| | - Qian Zhu
- Department of Neurobiology, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Yan Wu
- Department of Neurobiology, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Lingling Zhu
- Department of Neurobiology, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Haitao Wu
- Department of Neurobiology, Beijing Institute of Basic Medical Sciences, Beijing, China.,Key Laboratory of Neuroregeneration, Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China.,Chinese Institute for Brain Research, Beijing, China
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16
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Zhang A, Xu H, Zhang Z, Liu Y, Han X, Yuan L, Ni Y, Gao S, Xu Y, Chen S, Jiang J, Chen Y, Zhang X, Lou M, Zhang J. Establishment of a nomogram with EMP3 for predicting clinical outcomes in patients with glioma: A bi-center study. CNS Neurosci Ther 2021; 27:1238-1250. [PMID: 34268874 PMCID: PMC8446216 DOI: 10.1111/cns.13701] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 06/10/2021] [Accepted: 06/16/2021] [Indexed: 12/20/2022] Open
Abstract
Aim To demonstrate the clinical value of epithelial membrane protein 3 (EMP3) with bioinformatic analysis and clinical data, and then to establish a practical nomogram predictive model with bicenter validation. Methods The data from CGGA and TCGA database were used to analyze the expression of EMP3 and its correlation with clinical prognosis. Then, we analyzed EMP3 expression in samples from 179 glioma patients from 2013 to 2017. Univariate and multivariate cox regression were used to predict the prognosis with multiple factors. Finally, a nomogram to predict poor outcomes was formulated. The accuracy and discrimination of nomograms were determined with ROC curve and calibration curve in training and validation cohorts. Results EMP3 was significantly higher in higher‐grade glioma and predicted poor prognosis. In multivariate analysis, high expression of EMP3 (HR = 2.842, 95% CI 1.984–4.071), WHO grade (HR = 1.991, 95% CI 1.235–3.212), and IDH1 mutant (HR = 0.503, 95% CI 0.344–0.737) were included. The nomogram was constructed based on the above features, which represented great predictive value in clinical outcomes. Conclusion This study demonstrated EMP3 as a novel predictor for clinical progression and clinical outcomes in glioma. Moreover, the nomogram with EMP3 expression represented a practical approach to provide individualized risk assessment for glioma patients.
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Affiliation(s)
- Anke Zhang
- Department of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Houshi Xu
- Department of Neurosurgery, School of Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Zeyu Zhang
- Department of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Yibo Liu
- Department of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Xiaying Han
- Department of Orthopedics, School of Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China
| | | | - Yunjia Ni
- Department of Neurosurgery, School of Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Shiqi Gao
- Department of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Yuanzhi Xu
- Department of Neurosurgery, School of Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Sheng Chen
- Department of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | | | - Yike Chen
- Department of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Xiaotao Zhang
- Department of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Meiqing Lou
- Department of Neurosurgery, School of Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Jianmin Zhang
- Department of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China
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17
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Wan RJ, Peng W, Xia QX, Zhou HH, Mao XY. Ferroptosis-related gene signature predicts prognosis and immunotherapy in glioma. CNS Neurosci Ther 2021; 27:973-986. [PMID: 33969928 PMCID: PMC8265949 DOI: 10.1111/cns.13654] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 04/14/2021] [Accepted: 04/17/2021] [Indexed: 12/12/2022] Open
Abstract
Aims Glioma is a highly invasive brain tumor, which makes prognosis challenging and renders patients resistant to various treatments. Induction of cell death is promising in cancer therapy. Ferroptosis, a recently discovered regulated cell death, can be induced for killing glioma cells. However, the prognostic prediction of ferroptosis‐related genes (FRGs) in glioma remains elusive. Methods The mRNA expression profiles and gene variation and corresponding clinical data of glioma patients and NON‐TUMOR control were downloaded from public databases. Risk score based on a FRGs signature was constructed in REMBRANDT cohort and validated in other datasets including CGGA‐693, CGGA‐325, and TCGA. Results Our results demonstrated that the majority of FRGs was differentially expressed among GBM, LGG, and NON‐TUMOR groups (96.6%). Furthermore, the glioma patients with low‐risk score exhibited a more satisfactory clinical outcome. The better prognosis was also validated in the glioma patients with low‐risk score no matter to which grade they were affiliated. Functional analysis revealed that the high‐risk score group was positively correlated with the enrichment scores for immune checkpoint blockade‐related positive signatures, indicating the critical role of glioma immunotherapy via risk score. Conclusion A novel FRGs‐related risk score can predict prognosis and immunotherapy in glioma patients.
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Affiliation(s)
- Rong-Jun Wan
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
| | - Wang Peng
- Department of Pediatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Qin-Xuan Xia
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China.,Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China
| | - Hong-Hao Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China.,Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China
| | - Xiao-Yuan Mao
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China.,Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China
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18
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Ge X, Jiang S, Wang Z, Hu N, Jiang R, Cai Z, Wu B, Zhang Y, Gong P. Prognostic Biomarker ZNF311 and Its Correlation With Tumor Progression and Immune Infiltrates in Glioma. World Neurosurg 2021; 151:e37-e46. [PMID: 33746099 DOI: 10.1016/j.wneu.2021.03.064] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 03/12/2021] [Accepted: 03/12/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Gliomas, particularly high-grade gliomas, are the most common primary brain tumors. From the Chinese Glioma Genome Atlas (CGGA) database, the relationships between the altered molecular pathways and gliomas could be easily observed. A close connection in the occurrence of the pathogenesis exists between the microenvironment, the glioma, and the associated genes. METHODS Validation of the role of ZNF311 oncogene was confirmed by data from the CGGA dataset on glioblastoma and low-grade glioma. Furthermore, we used CIBERSORT to analyze the correlation between ZNF311 and cancer immune infiltrates. RESULTS According to our analysis, ZNF311 was expressed higher in patients with grade-depended glioma with poor prognosis. In addition, we obtained valuable prognostic results between isocitrate dehydrogenase 1 (IDH1) and ZNF311 through the analysis of integrated correlations. Similarly, we simultaneously revealed the prognostic results between 1p/19q and ZNF311. In addition, we found that ZNF311 is correlated with a large number of tumor-infiltrating immune cells. CONCLUSIONS Based on the study findings, we conclude that ZNF311 is potentially a novel biomarker for assessing prognosis and immune infiltration in glioblastoma and diffuse glioma cases.
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Affiliation(s)
- Xinqi Ge
- Medical School of Nantong University, Nantong, China; Department of Clinical Biobank, Nantong University Affiliated Hospital, Nantong, China
| | - Shichen Jiang
- Department of Neurosurgery, Nantong University Affiliated Hospital, Nantong, China
| | - Ziheng Wang
- Department of Clinical Biobank, Nantong University Affiliated Hospital, Nantong, China; Department of Neurosurgery, Nantong University Affiliated Hospital, Nantong, China
| | - Nan Hu
- Medical School of Nantong University, Nantong, China; Department of Clinical Biobank, Nantong University Affiliated Hospital, Nantong, China
| | - Rui Jiang
- Department of Neurosurgery, Nantong University Affiliated Hospital, Nantong, China
| | - Zishu Cai
- Department of Neurosurgery, Nantong University Affiliated Hospital, Nantong, China
| | - Bin Wu
- Department of Neurosurgery, Nantong University Affiliated Hospital, Nantong, China
| | - Yu Zhang
- Department of Neurosurgery, Nantong University Affiliated Hospital, Nantong, China
| | - Peipei Gong
- Department of Neurosurgery, Nantong University Affiliated Hospital, Nantong, China.
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19
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Li G, Wu F, Zeng F, Zhai Y, Feng Y, Chang Y, Wang D, Jiang T, Zhang W. A novel DNA repair-related nomogram predicts survival in low-grade gliomas. CNS Neurosci Ther 2020; 27:186-195. [PMID: 33063446 PMCID: PMC7816205 DOI: 10.1111/cns.13464] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 08/20/2020] [Accepted: 09/26/2020] [Indexed: 12/17/2022] Open
Abstract
Aims We aimed to create a tumor recurrent‐based prediction model to predict recurrence and survival in patients with low‐grade glioma. Methods This study enrolled 291 patients (188 in the training group and 103 in the validation group) with clinicopathological information and transcriptome sequencing data. LASSO‐COX algorithm was applied to shrink predictive factor size and build a predictive recurrent signature. GO, KEGG, and GSVA analyses were performed for function annotations of the recurrent signature. The calibration curves and C‐Index were assessed to evaluate the nomogram's performance. Results This study found that DNA repair functions of tumor cells were significantly enriched in recurrent low‐grade gliomas. A predictive recurrent signature, built by the LASSO‐COX algorithm, was significantly associated with overall survival and progression‐free survival in low‐grade gliomas. Moreover, function annotations analysis of the predictive recurrent signature exhibited that the signature was associated with DNA repair functions. The nomogram, combining the predictive recurrent signature and clinical prognostic predictors, showed powerful prognostic ability in the training and validation groups. Conclusion An individualized prediction model was created to predict 1‐, 2‐, 3‐, 5‐, and 10‐year survival and recurrent rate of patients with low‐grade glioma, which may serve as a potential tool to guide postoperative individualized care.
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Affiliation(s)
- Guanzhang Li
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Fan Wu
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Fan Zeng
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - You Zhai
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Yuemei Feng
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Yuanhao Chang
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Di Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Tao Jiang
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Chinese Glioma Genome Atlas Network (CGGA), Asian Glioma Genome Atlas Network (AGGA)
| | - Wei Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Chinese Glioma Genome Atlas Network (CGGA), Asian Glioma Genome Atlas Network (AGGA)
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20
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Liu Z, Wan Y, Yang M, Qi X, Dong Z, Huang J, Xu J. Identification of methylation-driven genes related to the prognosis of papillary renal cell carcinoma: a study based on The Cancer Genome Atlas. Cancer Cell Int 2020; 20:235. [PMID: 32536823 PMCID: PMC7291558 DOI: 10.1186/s12935-020-01331-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 06/08/2020] [Indexed: 02/07/2023] Open
Abstract
Background Aberrant DNA methylation patterns are involved in the pathogenesis of papillary renal cell carcinoma (pRCC). This study aimed to investigate the potential of methylation-driven genes as biomarkers in determining the prognosis of pRCC by bioinformatics analysis. Methods DNA methylation and transcriptome profiling data were downloaded from The Cancer Genome Atlas database. Methylation-driven genes (MDGs) were obtained using MethylMix R package. A Cox regression model was used to screen for pRCC prognosis-related MDGs, and a linear risk model based on MDG methylation profiles was constructed. A combined methylation and gene expression survival analysis was performed to further explore the prognostic value of MDGs independently. Results A total of 31 MDGs were obtained. Univariate and multivariate Cox regression analysis identified eight genes (CASP1, CD68, HOXD3, HHLA2, HOXD9, HOXA10-AS, TMEM71, and PLA2G16), which were used to construct a predictive model associated with overall survival in pRCC patients. Combined DNA methylation and gene expression survival analysis revealed that C19orf33, GGT6, GIPC2, HHLA2, HOXD3, HSD17B14, PLA2G16, and TMEM71 were significantly associated with patients’ survival. Conclusion Through the analysis of MDGs in pRCC, this study identified potential biomarkers for precision treatment and prognosis prediction, and provided the basis for future research into the molecular mechanism of pRCC.
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Affiliation(s)
- Zeyu Liu
- Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, 100029 China
| | - Yuxiang Wan
- Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, 100029 China
| | - Ming Yang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029 China
| | - Xuewei Qi
- Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, 100029 China
| | - Zhenzhen Dong
- Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, 100029 China
| | - Jinchang Huang
- Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, 100029 China
| | - Jingnan Xu
- Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, 100029 China
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Moravčíková N, Kasarda R, Kadlečík O, Trakovická A, Halo M, Candrák J. Runs of Homozygosity as Footprints of Selection in the Norik of Muran Horse Genome. ACTA UNIVERSITATIS AGRICULTURAE ET SILVICULTURAE MENDELIANAE BRUNENSIS 2019. [DOI: 10.11118/actaun201967051165] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
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22
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Wang KY, Huang RY, Tong XZ, Zhang KN, Liu YW, Zeng F, Hu HM, Jiang T. Molecular and clinical characterization of TMEM71 expression at the transcriptional level in glioma. CNS Neurosci Ther 2019; 25:965-975. [PMID: 31180187 PMCID: PMC6698980 DOI: 10.1111/cns.13137] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2018] [Revised: 03/20/2019] [Accepted: 03/25/2019] [Indexed: 12/23/2022] Open
Abstract
Background Glioma is the most common and aggressive type of primary brain tumor in adults. Although radiotherapy and chemotherapy are used in the treatment of glioma, survival remains unsatisfactory. Chemoresistance is one of the primary reasons for the poor prognosis of glioma. Several studies have demonstrated that glioma stem cells (GSC) may be one of the reasons for chemoresistance. In this article, we attempt to search for a new biomarker related to GSC and chemoresistance in glioma. Methods We used three datasets (GSE23806, COSMIC, and CGGA) to search for the genes related to GSC, temozolomide (TMZ) resistance, and overall survival. The selected gene was investigated with respect to the relationship between mRNA levels and clinical characteristics in the CGGA and TCGA dataset. Gene ontology (GO) analysis was used for bioinformatics analysis. Kaplan‐Meier survival analysis and Cox regression analysis were used for survival analysis. Results The transmembrane protein 71 (TMEM71) gene was selected for further research. TMEM71 was highly expressed in GSCs and TMZ‐resistant cells. The TMEM71 mRNA levels increased with increasing grades of glioma. In IDH‐wild‐type and MGMT‐unmethylated samples, TMEM71 was overexpressed. The TMEM71 transcript levels were also increased significantly in mesenchymal subtype gliomas. GO analysis demonstrated that TMEM71 was related to the immune and inflammatory responses, cell proliferation, cell migration, chemotaxis, and the response to drugs. Specifically, PD‐1, PD‐L1, TIM‐3, and B7‐H3 were tightly associated with TMEM71 expression. This result indicates that TMEM71 may play an important role in the immune response. More importantly, high expression of TMEM71 was correlated with short survival time in both glioma and glioblastoma patients. Conclusion In summary, TMEM71 expression was increased in GBM and associated with immune response. Our study suggests that TMEM71 may function as an oncogene and serve as a new effective therapeutic target for the treatment of glioma.
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Affiliation(s)
- Kuan-Yu Wang
- Department of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Cooperative Group (CGCG), Beijing, China
| | - Ruo-Yu Huang
- Department of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Cooperative Group (CGCG), Beijing, China
| | - Xue-Zhi Tong
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ke-Nan Zhang
- Department of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Cooperative Group (CGCG), Beijing, China
| | - Yan-Wei Liu
- Chinese Glioma Cooperative Group (CGCG), Beijing, China.,Department of Radiotherapy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Fan Zeng
- Chinese Glioma Cooperative Group (CGCG), Beijing, China.,Department of Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Hui-Min Hu
- Chinese Glioma Cooperative Group (CGCG), Beijing, China.,Department of Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Tao Jiang
- Department of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Cooperative Group (CGCG), Beijing, China.,Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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