Exploration and Verification of Prognostic Value of Endothelial Cells in Glioblastoma
ObjectiveTo explore and verify the prognostic value of endothelial cells in glioblastoma. MethodsThrough bioinformatics analysis of the TCGA and CGGA databases, we screened endothelial cell-related markers in GBM single-cell data according to a series of criteria. Moreover, univariate Cox regression...
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Magazine House of Cancer Research on Prevention and Treatment
2025-01-01
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Series: | Zhongliu Fangzhi Yanjiu |
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Online Access: | http://www.zlfzyj.com/cn/article/doi/10.3971/j.issn.1000-8578.2025.24.0346 |
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author | Hengchao MA Yuyang LIU Jun XU Bingyan TAO Jun ZHANG |
author_facet | Hengchao MA Yuyang LIU Jun XU Bingyan TAO Jun ZHANG |
author_sort | Hengchao MA |
collection | DOAJ |
description | ObjectiveTo explore and verify the prognostic value of endothelial cells in glioblastoma. MethodsThrough bioinformatics analysis of the TCGA and CGGA databases, we screened endothelial cell-related markers in GBM single-cell data according to a series of criteria. Moreover, univariate Cox regression analysis was performed to obtain and screen endothelial cell prognosis-related markers and construct endothelial cell-related prognostic risk score. qPCR experiments was used to verify the differences in the expression of prognostic markers in GBM tissues and peritumoral normal brain tissues. Kaplan-Meier method was used to construct the survival curve to identify the prognostic efficacy of the prognostic risk score. ResultsA total of 2 115 prognostic genes of glioblastoma (GBM) were screened. Among them, 1 494 was upregulated and 621 was downregulated. Seven groups of cells were obtained after GBM single-cell sequencing analysis, including AC-like tumor cells, endothelial cells, monocytes/macrophages, NB-like tumor cells, neurons, OC-like tumor cells, and OPC-like tumor cells. According to the differential genes of endothelial cells and the corresponding screening criteria, four genes (DUSP6, STC1, VWA1, and TM4SF1) were screened for risk-score construction. The expression of the target gene in GBM tissues and normal brain tissues around the tumor was significantly up-regulated detected by qPCR. The risk score=0.171*DUSP6+0.144*STC1+0.041*VWA1−0.004*TM4SF1. ConclusionThe glioblastoma endothelial cells’ risk score determined in this study can preferably predict the prognosis of patients. |
format | Article |
id | doaj-art-abf0194a6e9047ea9933113f04357bd3 |
institution | Kabale University |
issn | 1000-8578 |
language | zho |
publishDate | 2025-01-01 |
publisher | Magazine House of Cancer Research on Prevention and Treatment |
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series | Zhongliu Fangzhi Yanjiu |
spelling | doaj-art-abf0194a6e9047ea9933113f04357bd32025-01-23T07:44:48ZzhoMagazine House of Cancer Research on Prevention and TreatmentZhongliu Fangzhi Yanjiu1000-85782025-01-01521626710.3971/j.issn.1000-8578.2025.24.034620240346Exploration and Verification of Prognostic Value of Endothelial Cells in GlioblastomaHengchao MA0Yuyang LIU1Jun XU2Bingyan TAO3Jun ZHANG4Medical School of Chinese PLA, Beijing 100853, ChinaDepartment of Neurosurgery, the 920th Hospital of Joint Logistics Support Force, Kunming 650032, ChinaDepartment of Oral Surgery, the 920th Hospital of Joint Logistics Support Force, Kunming 650032, ChinaDepartment of Neurosurgery, the 961th Hospital of Joint Logistics Support Force, Qiqihar 161000, ChinaDepartment of Neurosurgery, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, ChinaObjectiveTo explore and verify the prognostic value of endothelial cells in glioblastoma. MethodsThrough bioinformatics analysis of the TCGA and CGGA databases, we screened endothelial cell-related markers in GBM single-cell data according to a series of criteria. Moreover, univariate Cox regression analysis was performed to obtain and screen endothelial cell prognosis-related markers and construct endothelial cell-related prognostic risk score. qPCR experiments was used to verify the differences in the expression of prognostic markers in GBM tissues and peritumoral normal brain tissues. Kaplan-Meier method was used to construct the survival curve to identify the prognostic efficacy of the prognostic risk score. ResultsA total of 2 115 prognostic genes of glioblastoma (GBM) were screened. Among them, 1 494 was upregulated and 621 was downregulated. Seven groups of cells were obtained after GBM single-cell sequencing analysis, including AC-like tumor cells, endothelial cells, monocytes/macrophages, NB-like tumor cells, neurons, OC-like tumor cells, and OPC-like tumor cells. According to the differential genes of endothelial cells and the corresponding screening criteria, four genes (DUSP6, STC1, VWA1, and TM4SF1) were screened for risk-score construction. The expression of the target gene in GBM tissues and normal brain tissues around the tumor was significantly up-regulated detected by qPCR. The risk score=0.171*DUSP6+0.144*STC1+0.041*VWA1−0.004*TM4SF1. ConclusionThe glioblastoma endothelial cells’ risk score determined in this study can preferably predict the prognosis of patients.http://www.zlfzyj.com/cn/article/doi/10.3971/j.issn.1000-8578.2025.24.0346glioblastomaendothelial cellprognosissingle-cell sequencing |
spellingShingle | Hengchao MA Yuyang LIU Jun XU Bingyan TAO Jun ZHANG Exploration and Verification of Prognostic Value of Endothelial Cells in Glioblastoma Zhongliu Fangzhi Yanjiu glioblastoma endothelial cell prognosis single-cell sequencing |
title | Exploration and Verification of Prognostic Value of Endothelial Cells in Glioblastoma |
title_full | Exploration and Verification of Prognostic Value of Endothelial Cells in Glioblastoma |
title_fullStr | Exploration and Verification of Prognostic Value of Endothelial Cells in Glioblastoma |
title_full_unstemmed | Exploration and Verification of Prognostic Value of Endothelial Cells in Glioblastoma |
title_short | Exploration and Verification of Prognostic Value of Endothelial Cells in Glioblastoma |
title_sort | exploration and verification of prognostic value of endothelial cells in glioblastoma |
topic | glioblastoma endothelial cell prognosis single-cell sequencing |
url | http://www.zlfzyj.com/cn/article/doi/10.3971/j.issn.1000-8578.2025.24.0346 |
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