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Barbosa LC, Machado GC, Heringer M, Ferrer VP. Identification of established and novel extracellular matrix components in glioblastoma as targets for angiogenesis and prognosis. Neurogenetics 2024; 25:249-262. [PMID: 38775886 DOI: 10.1007/s10048-024-00763-x] [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: 03/06/2024] [Accepted: 05/10/2024] [Indexed: 07/16/2024]
Abstract
Glioblastomas (GBM) are aggressive tumors known for their heterogeneity, rapid proliferation, treatment resistance, and extensive vasculature. Angiogenesis, the formation of new vessels, involves endothelial cell (EC) migration and proliferation. Various extracellular matrix (ECM) molecules regulate EC survival, migration, and proliferation. Culturing human brain EC (HBMEC) on GBM-derived ECM revealed a decrease in EC numbers compared to controls. Through in silico analysis, we explored ECM gene expression differences between GBM and brain normal glia cells and the impact of GBM microenvironment on EC ECM transcripts. ECM molecules such as collagen alpha chains (COL4A1, COL4A2, p < 0.0001); laminin alpha (LAMA4), beta (LAMB2), and gamma (LAMC1) chains (p < 0.0005); neurocan (NCAN), brevican (BCAN) and versican (VCAN) (p < 0.0005); hyaluronan synthase (HAS) 2 and metalloprotease (MMP) 2 (p < 0.005); MMP inhibitors (TIMP1-4, p < 0.0005), transforming growth factor beta-1 (TGFB1) and integrin alpha (ITGA3/5) (p < 0.05) and beta (ITGB1, p < 0.0005) chains showed increased expression in GBM. Additionally, GBM-influenced EC exhibited elevated expression of COL5A3, COL6A1, COL22A1 and COL27A1 (p < 0.01); LAMA1, LAMB1 (p < 0.001); fibulins (FBLN1/2, p < 0.01); MMP9, HAS1, ITGA3, TGFB1, and wingless-related integration site 9B (WNT9B) (p < 0.01) compared to normal EC. Some of these molecules: COL5A1/3, COL6A1, COL22/27A1, FBLN1/2, ITGA3/5, ITGB1 and LAMA1/B1 (p < 0.01); NCAN, HAS1, MMP2/9, TIMP1/2 and TGFB1 (p < 0.05) correlated with GBM patient survival. In conclusion, this study identified both established and novel ECM molecules regulating GBM angiogenesis, suggesting NCAN and COL27A1 are new potential prognostic biomarkers for GBM.
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Affiliation(s)
- Lucas Cunha Barbosa
- Graduation Program of Pathological Anatomy, Faculty of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- Laboratory of Cellular and Molecular Biology of Tumors, Department of Cellular and Molecular Biology, Institute of Biology, Fluminense Federal University, Niteroi, Brazil
| | - Gabriel Cardoso Machado
- Graduation Program of Pathological Anatomy, Faculty of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- Laboratory of Cellular and Molecular Biology of Tumors, Department of Cellular and Molecular Biology, Institute of Biology, Fluminense Federal University, Niteroi, Brazil
| | - Manoela Heringer
- Brain's Biomedicine Lab, Paulo Niemeyer State Brain Institute, Rio de Janeiro, Brazil
| | - Valéria Pereira Ferrer
- Graduation Program of Pathological Anatomy, Faculty of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
- Laboratory of Cellular and Molecular Biology of Tumors, Department of Cellular and Molecular Biology, Institute of Biology, Fluminense Federal University, Niteroi, Brazil.
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Liu Y, Wu Z, Feng Y, Gao J, Wang B, Lian C, Diao B. Integration analysis of single-cell and spatial transcriptomics reveal the cellular heterogeneity landscape in glioblastoma and establish a polygenic risk model. Front Oncol 2023; 13:1109037. [PMID: 37397378 PMCID: PMC10308022 DOI: 10.3389/fonc.2023.1109037] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 05/31/2023] [Indexed: 07/04/2023] Open
Abstract
Background Glioblastoma (GBM) is adults' most common and fatally malignant brain tumor. The heterogeneity is the leading cause of treatment failure. However, the relationship between cellular heterogeneity, tumor microenvironment, and GBM progression is still elusive. Methods Integrated analysis of single-cell RNA sequencing (scRNA-seq) and spatial transcriptome sequencing (stRNA-seq) of GBM were conducted to analyze the spatial tumor microenvironment. We investigated the subpopulation heterogeneity of malignant cells through gene set enrichment analyses, cell communications analyses, and pseudotime analyses. Significantly changed genes of the pseudotime analysis were screened to create a tumor progress-related gene risk score (TPRGRS) using Cox regression algorithms in the bulkRNA-sequencing(bulkRNA-seq) dataset. We combined the TPRGRS and clinical characteristics to predict the prognosis of patients with GBM. Furthermore, functional analysis was applied to uncover the underlying mechanisms of the TPRGRS. Results GBM cells were accurately charted to their spatial locations and uncovered their spatial colocalization. The malignant cells were divided into five clusters with transcriptional and functional heterogeneity, including unclassified malignant cells and astrocyte-like, mesenchymal-like, oligodendrocytes-progenitor-like, and neural-progenitor-like malignant cells. Cell-cell communications analysis in scRNA-seq and stRNA-seq identified ligand-receptor pairs of the CXCL, EGF, FGF, and MIF signaling pathways as bridges implying that tumor microenvironment may cause malignant cells' transcriptomic adaptability and disease progression. Pseudotime analysis showed the differentiation trajectory of GBM cells from proneural to mesenchymal transition and identified genes or pathways that affect cell differentiation. TPRGRS could successfully divide patients with GBM in three datasets into high- and low-risk groups, which was proved to be a prognostic factor independent of routine clinicopathological characteristics. Functional analysis revealed the TPRGRS associated with growth factor binding, cytokine activity, signaling receptor activator activity functions, and oncogenic pathways. Further analysis revealed the association of the TPRGRS with gene mutations and immunity in GBM. Finally, the external datasets and qRT-PCR verified high expressions of the TPRGRS mRNAs in GBM cells. Conclusion Our study provides novel insights into heterogeneity in GBM based on scRNA-seq and stRNA-seq data. Moreover, our study proposed a malignant cell transition-based TPRGRS through integrated analysis of bulkRNA-seq and scRNA-seq data, combined with the routine clinicopathological evaluation of tumors, which may provide more personalized drug regimens for GBM patients.
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Affiliation(s)
- Yaxuan Liu
- School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, Guangdong, China
- Department of Basic Medicine, General Hospital of Central Theatre Command, Wuhan, Hubei, China
| | - Zhenyu Wu
- Department of Urology, The First People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Yueyuan Feng
- Cancer Hospital, The First People's Hospital of Foshan, Foshan, Foshan, Guangdong, China
| | - Jiawei Gao
- College of Medicine, JiShou University, Xiangxi, Hunan, China
| | - Bo Wang
- College of Medicine, JiShou University, Xiangxi, Hunan, China
| | - Changlin Lian
- Cancer Hospital, The First People's Hospital of Foshan, Foshan, Foshan, Guangdong, China
| | - Bo Diao
- School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, Guangdong, China
- Department of Basic Medicine, General Hospital of Central Theatre Command, Wuhan, Hubei, China
- Department of Neurosurgery, Wuhan General Hospital of Guangzhou Command and Hubei Key Laboratory of Central Nervous System Tumor and Intervention, Wuhan, Hubei, China
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Liu B, Li C, Feng C, Wang H, Zhang H, Tu C, He S, Li Z. Integrative profiling analysis reveals prognostic significance, molecular characteristics, and tumor immunity of angiogenesis-related genes in soft tissue sarcoma. Front Immunol 2023; 14:1178436. [PMID: 37377953 PMCID: PMC10291125 DOI: 10.3389/fimmu.2023.1178436] [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: 03/02/2023] [Accepted: 05/26/2023] [Indexed: 06/29/2023] Open
Abstract
Background Soft tissue sarcoma (STS) is a class of malignant tumors originating from mesenchymal stroma with a poor prognosis. Accumulating evidence has proved that angiogenesis is an essential hallmark of tumors. Nevertheless, there is a paucity of comprehensive research exploring the association of angiogenesis-related genes (ARGs) with STS. Methods The ARGs were extracted from previous literature, and the differentially expressed ARGs were screened for subsequent analysis. Next, the least absolute shrinkage and selection operator (LASSO) and Cox regression analyses were conducted to establish the angiogenesis-related signature (ARSig). The predictive performance of the novel ARSig was confirmed using internal and external validation, subgroup survival, and independent analysis. Additionally, the association of the ARSig with the tumor immune microenvironment, tumor mutational burden (TMB), and therapeutic response in STS were further investigated. Notably, we finally conducted in vitro experiments to verify the findings from the bioinformatics analysis. Results A novel ARSig is successfully constructed and validated. The STS with a lower ARSig risk score in the training cohort has an improved prognosis. Also, consistent results were observed in the internal and external cohorts. The receiver operating characteristic (ROC) curve, subgroup survival, and independent analysis further indicate that the novel ARSig is a promising independent prognostic predictor for STS. Furthermore, it is proved that the novel ARSig is relevant to the immune landscape, TMB, immunotherapy, and chemotherapy sensitivity in STS. Encouragingly, we also validate that the signature ARGs are significantly dysregulated in STS, and ARDB2 and SRPK1 are closely connected with the malignant progress of STS cells. Conclusion In sum, we construct a novel ARSig for STS, which could act as a promising prognostic factor for STS and give a strategy for future clinical decisions, immune landscape, and personalized treatment of STS.
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Affiliation(s)
- Binfeng Liu
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Chenbei Li
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Chengyao Feng
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Hua Wang
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Haixia Zhang
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Chao Tu
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Shasha He
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhihong Li
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
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Zhao S, Ji W, Shen Y, Fan Y, Huang H, Huang J, Lai G, Yuan K, Cheng C. Expression of hub genes of endothelial cells in glioblastoma-A prognostic model for GBM patients integrating single-cell RNA sequencing and bulk RNA sequencing. BMC Cancer 2022; 22:1274. [PMID: 36474171 PMCID: PMC9724299 DOI: 10.1186/s12885-022-10305-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 11/10/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND This study aimed to use single-cell RNA-seq (scRNA-seq) to discover marker genes in endothelial cells (ECs) and construct a prognostic model for glioblastoma multiforme (GBM) patients in combination with traditional high-throughput RNA sequencing (bulk RNA-seq). METHODS Bulk RNA-seq data was downloaded from The Cancer Genome Atlas (TCGA) and The China Glioma Genome Atlas (CGGA) databases. 10x scRNA-seq data for GBM were obtained from the Gene Expression Omnibus (GEO) database. The uniform manifold approximation and projection (UMAP) were used for downscaling and cluster identification. Key modules and differentially expressed genes (DEGs) were identified by weighted gene correlation network analysis (WGCNA). A non-negative matrix decomposition (NMF) algorithm was used to identify the different subtypes based on DEGs, and multivariate cox regression analysis to model the prognosis. Finally, differences in mutational landscape, immune cell abundance, immune checkpoint inhibitors (ICIs)-associated genes, immunotherapy effects, and enriched pathways were investigated between different risk groups. RESULTS The analysis of scRNA-seq data from eight samples revealed 13 clusters and four cell types. After applying Fisher's exact test, ECs were identified as the most important cell type. The NMF algorithm identified two clusters with different prognostic and immunological features based on DEGs. We finally built a prognostic model based on the expression levels of four key genes. Higher risk scores were significantly associated with poorer survival outcomes, low mutation rates in IDH genes, and upregulation of immune checkpoints such as PD-L1 and CD276. CONCLUSION We built and validated a 4-gene signature for GBM using 10 scRNA-seq and bulk RNA-seq data in this work.
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Affiliation(s)
- Songyun Zhao
- grid.460176.20000 0004 1775 8598Department of Neurosurgery, Wuxi People’s Hospital Affiliated to Nanjing Medical University, No. 299 Qing Yang Road, 214023 Wuxi, Jiangsu China
| | - Wei Ji
- grid.460176.20000 0004 1775 8598Department of Neurosurgery, Wuxi People’s Hospital Affiliated to Nanjing Medical University, No. 299 Qing Yang Road, 214023 Wuxi, Jiangsu China
| | - Yifan Shen
- grid.460176.20000 0004 1775 8598Department of Neurosurgery, Wuxi People’s Hospital Affiliated to Nanjing Medical University, No. 299 Qing Yang Road, 214023 Wuxi, Jiangsu China
| | - Yuansheng Fan
- grid.460176.20000 0004 1775 8598Department of Neurosurgery, Wuxi People’s Hospital Affiliated to Nanjing Medical University, No. 299 Qing Yang Road, 214023 Wuxi, Jiangsu China
| | - Hui Huang
- grid.460176.20000 0004 1775 8598Department of Neurosurgery, Wuxi People’s Hospital Affiliated to Nanjing Medical University, No. 299 Qing Yang Road, 214023 Wuxi, Jiangsu China
| | - Jin Huang
- grid.460176.20000 0004 1775 8598Department of Neurosurgery, Wuxi People’s Hospital Affiliated to Nanjing Medical University, No. 299 Qing Yang Road, 214023 Wuxi, Jiangsu China
| | - Guichuan Lai
- grid.203458.80000 0000 8653 0555Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, 400016 Chongqing, China
| | - Kemiao Yuan
- Department of Oncology, Traditional Chinese Medicine Hospital of Wuxi, No.8, West Zhongnan Road, 214071 Wuxi, China
| | - Chao Cheng
- grid.460176.20000 0004 1775 8598Department of Neurosurgery, Wuxi People’s Hospital Affiliated to Nanjing Medical University, No. 299 Qing Yang Road, 214023 Wuxi, Jiangsu China
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Cui G, Liu J, Wang M, Shon K, Wang C, Wei F, Sun Z. Crosstalk of angiogenesis-related subtypes, establishment of a prognostic signature and immune infiltration characteristics in colorectal adenocarcinoma. Front Immunol 2022; 13:1049485. [PMID: 36505481 PMCID: PMC9731117 DOI: 10.3389/fimmu.2022.1049485] [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: 09/20/2022] [Accepted: 11/07/2022] [Indexed: 11/25/2022] Open
Abstract
Background Colorectal adenocarcinoma (COAD) is one of the most common malignancies and angiogenesis is vital to the development of cancer. Here, we explored the roles of angiogenesis-related genes (ARGs) that affect the prognosis of COAD and constructed risk models to assess patient prognosis, immune characteristics, and treatment outcomes. Methods We comprehensively characterized the transcriptional and genetic modifications of 48 ARGs in COAD and evaluated the expression patterns. We identified two ARG subgroups using the consensus clustering algorithm. Based on the differentially expressed genes (DEGs) of two ARG subtypes, we calculated risk score, namely ARG_scores, and calssified COAD patients into different risk groups. To investigate the expression of ARG_score-related genes, qRT-PCR was performed. Subsequently, we mapped the nomogram to visually and accurately describe the value of the application of ARG_score. Finally, the correlation between ARG_score and clinical features, immune infiltration along with drug sensitivity were explored. Results We identified two ARG related subgroups and there were great differences in overall survival (OS) and tumor microenvironment. Then, we created an ARG_score for predicting overall survival based on eight DEGs and confirmed its reliable predictive power in COAD patients, with higher ARG_score associated with worse prognosis. Furthermore, eight ARG_score-related genes expression was investigated by qRT-PCR. To make the ARG_score clinically feasible, we created a highly reliable nomogram. We also found a higher proportion of microsatellite instability-high (MSI-H) and higher tumor mutational burden (TMB) in the high-risk group. In addition, ARG_score was notably correlated with cancer stem cell indices and drug sensitivity. Conclusion This scoring model has potential clinical application value in the prognosis, immune microenvironment and therapeutic drug sensitivity of COAD, which provides new insights for personalized treatment.
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Affiliation(s)
- Guoliang Cui
- Department of Gastroenterology, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Jinhui Liu
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Manli Wang
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Kinyu Shon
- Department of Gastroenterology, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Can Wang
- Department of Colorectal Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu, China
| | - Fei Wei
- Department of Physiology, School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China,*Correspondence: Fei Wei, ; Zhiguang Sun,
| | - Zhiguang Sun
- Department of Gastroenterology, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China,The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China,*Correspondence: Fei Wei, ; Zhiguang Sun,
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Tang H, Shan J, Liu J, Wang X, Wang F, Han S, Zhao X, Wang J. Molecular subtypes, clinical significance, and tumor immune landscape of angiogenesis-related genes in ovarian cancer. Front Oncol 2022; 12:995929. [PMID: 36106103 PMCID: PMC9464911 DOI: 10.3389/fonc.2022.995929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
Angiogenesis is a physiological process, where new blood vessels are formed from pre-existing vessels through the mechanism called sprouting. It plays a significant role in supporting tumor growth and is expected to provide novel therapeutic ideas for treating tumors that are resistant to conventional therapies. We investigated the expression pattern of angiogenesis-related genes (ARGs) in ovarian cancer (OV) from public databases, in which the patients could be classified into two differential ARG clusters. It was observed that patients in ARGcluster B would have a better prognosis but lower immune cell infiltration levels in the tumor microenvironment. Then ARG score was computed based on differentially expressed genes via cox analysis, which exhibited a strong correlation to copy number variation, immunophenoscore, tumor mutation load, and chemosensitivity. In addition, according to the median risk score, patients were separated into two risk subgroups, of which the low-risk group had a better prognosis, increased immunogenicity, and stronger immunotherapy efficacy. Furthermore, we constructed a prognostic nomogram and demonstrated its predictive value. These findings help us better understand the role of ARGs in OV and offer new perspectives for clinical prognosis and personalized treatment.
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Affiliation(s)
- Haixia Tang
- Department of Gynecology, Nantong Hospital of Traditional Chinese Medicine, Nantong, China
| | - Jingsong Shan
- Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, China
| | - Juan Liu
- Department of Obstetrics and Gynecology, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Xuehai Wang
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, School of Public Health, Nantong University, Nantong, China
| | - Fengxu Wang
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, School of Public Health, Nantong University, Nantong, China
| | - Suping Han
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Suping Han, ; Xinyuan Zhao, ; Jinxiu Wang,
| | - Xinyuan Zhao
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, School of Public Health, Nantong University, Nantong, China
- *Correspondence: Suping Han, ; Xinyuan Zhao, ; Jinxiu Wang,
| | - Jinxiu Wang
- Department of Gynecology, Nantong Hospital of Traditional Chinese Medicine, Nantong, China
- *Correspondence: Suping Han, ; Xinyuan Zhao, ; Jinxiu Wang,
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Hu T, Wang Y, Wang X, Wang R, Song Y, Zhang L, Han S. Construction and validation of an angiogenesis-related gene expression signature associated with clinical outcome and tumor immune microenvironment in glioma. Front Genet 2022; 13:934683. [PMID: 36035133 PMCID: PMC9403517 DOI: 10.3389/fgene.2022.934683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 07/18/2022] [Indexed: 11/29/2022] Open
Abstract
Background: Glioma is the most prevalent malignant intracranial tumor. Many studies have shown that angiogenesis plays a crucial role in glioma tumorigenesis, metastasis, and prognosis. In this study, we conducted a comprehensive analysis of angiogenesis-related genes (ARGs) in glioma. Methods: RNA-sequencing data of glioma patients were obtained from TCGA and CGGA databases. Via consensus clustering analysis, ARGs in the sequencing data were distinctly classified into two subgroups. We performed univariate Cox regression analysis to determine prognostic differentially expressed ARGs and least absolute shrinkage and selection operator Cox regression to construct a 14-ARG risk signature. The CIBERSORT algorithm was used to explore immune cell infiltration, and the ESTIMATE algorithm was applied to calculate immune and stromal scores. Results: We found that the 14-ARG signature reflected the infiltration characteristics of different immune cells in the tumor immune microenvironment. Additionally, total tumor mutational burden increased significantly in the high-risk group. We combined the 14-ARG signature with patient clinicopathological data to construct a nomogram for predicting 1-, 3-, and 5-year overall survival with good accuracy. The predictive value of the prognostic model was verified in the CGGA cohort. SPP1 was a potential biomarker of glioma risk and was involved in the proliferation, invasion, and angiogenesis of glioma cells. Conclusion: In conclusion, we established and validated a novel ARG risk signature that independently predicted the clinical outcomes of glioma patients and was associated with the tumor immune microenvironment.
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Affiliation(s)
- Tianhao Hu
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
| | - Yutao Wang
- Department of Urology, The First Hospital of China Medical University, Shenyang, China
| | - Xiaoliang Wang
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
| | - Run Wang
- Department of Neurosurgery, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China
| | - Yifu Song
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
| | - Li Zhang
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
- *Correspondence: Li Zhang, ; Sheng Han,
| | - Sheng Han
- Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
- *Correspondence: Li Zhang, ; Sheng Han,
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