Identification of an epithelial-mesenchymal transition-related lncRNA prognostic signature for patients with glioblastoma
Abstract Glioblastoma (GBM) is a strikingly heterogeneous and lethal brain tumor with very poor prognosis. LncRNAs play critical roles in the tumorigenesis of GBM through regulation of various cancer-related genes and signaling pathways. Here, we focused on the essential role of EMT and identified 7...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-12-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-03213-y |
| _version_ | 1818723288872910848 |
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| author | XinJie Yang Sha Niu JiaQiang Liu Jincheng Fang ZeYu Wu Shizhang Ling GuangFu Di XiaoChun Jiang |
| author_facet | XinJie Yang Sha Niu JiaQiang Liu Jincheng Fang ZeYu Wu Shizhang Ling GuangFu Di XiaoChun Jiang |
| author_sort | XinJie Yang |
| collection | DOAJ |
| description | Abstract Glioblastoma (GBM) is a strikingly heterogeneous and lethal brain tumor with very poor prognosis. LncRNAs play critical roles in the tumorigenesis of GBM through regulation of various cancer-related genes and signaling pathways. Here, we focused on the essential role of EMT and identified 78 upregulated EMT-related genes in GBM through differential expression analysis and Gene set enrichment analysis (GSEA). A total of 301 EMT-related lncRNAs were confirmed in GBM through Spearman correlation analysis and a prognostic signature consisting of seven EMT-related lncRNAs (AC012615.1, H19, LINC00609, LINC00634, POM121L9P, SNHG11, and USP32P3) was established by univariate and multivariate Cox regression analyses. Significantly, Kaplan–Meier analysis and receiver-operating-characteristic (ROC) curve validated the accuracy and efficiency of the signature to be satisfactory. Quantitative real-time (qRT)-PCR assay demonstrated the expression alterations of the seven lncRNAs between normal glial and glioma cell lines. Functional enrichment analysis revealed multiple EMT and metastasis-related pathways were associated with the EMT-related lncRNA prognostic signature. In addition, we observed the degree of immune cell infiltration and immune responses were significantly increased in high-risk subgroup compared with low-risk subgroup. In conclusion, we established an effective and robust EMT-related lncRNA signature which was expected to predict the prognosis and immunotherapy response for GBM patients. |
| first_indexed | 2024-12-17T21:08:09Z |
| format | Article |
| id | doaj.art-145efa689f4d46b9adb27dc6638b661c |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-17T21:08:09Z |
| publishDate | 2021-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-145efa689f4d46b9adb27dc6638b661c2022-12-21T21:32:31ZengNature PortfolioScientific Reports2045-23222021-12-0111111410.1038/s41598-021-03213-yIdentification of an epithelial-mesenchymal transition-related lncRNA prognostic signature for patients with glioblastomaXinJie Yang0Sha Niu1JiaQiang Liu2Jincheng Fang3ZeYu Wu4Shizhang Ling5GuangFu Di6XiaoChun Jiang7Department of Neurosurgery, The Translational Research Institute for Neurological Disorders, the First Affiliated Hospital (Yijishan Hospital), Wannan Medical CollegeDepartment of Neurosurgery, The Translational Research Institute for Neurological Disorders, the First Affiliated Hospital (Yijishan Hospital), Wannan Medical CollegeDepartment of Neurosurgery, The Translational Research Institute for Neurological Disorders, the First Affiliated Hospital (Yijishan Hospital), Wannan Medical CollegeDepartment of Neurosurgery, the First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wannan Medical CollegeDepartment of Neurosurgery, The Translational Research Institute for Neurological Disorders, the First Affiliated Hospital (Yijishan Hospital), Wannan Medical CollegeDepartment of Neurosurgery, The Translational Research Institute for Neurological Disorders, the First Affiliated Hospital (Yijishan Hospital), Wannan Medical CollegeDepartment of Neurosurgery, The Translational Research Institute for Neurological Disorders, the First Affiliated Hospital (Yijishan Hospital), Wannan Medical CollegeDepartment of Neurosurgery, The Translational Research Institute for Neurological Disorders, the First Affiliated Hospital (Yijishan Hospital), Wannan Medical CollegeAbstract Glioblastoma (GBM) is a strikingly heterogeneous and lethal brain tumor with very poor prognosis. LncRNAs play critical roles in the tumorigenesis of GBM through regulation of various cancer-related genes and signaling pathways. Here, we focused on the essential role of EMT and identified 78 upregulated EMT-related genes in GBM through differential expression analysis and Gene set enrichment analysis (GSEA). A total of 301 EMT-related lncRNAs were confirmed in GBM through Spearman correlation analysis and a prognostic signature consisting of seven EMT-related lncRNAs (AC012615.1, H19, LINC00609, LINC00634, POM121L9P, SNHG11, and USP32P3) was established by univariate and multivariate Cox regression analyses. Significantly, Kaplan–Meier analysis and receiver-operating-characteristic (ROC) curve validated the accuracy and efficiency of the signature to be satisfactory. Quantitative real-time (qRT)-PCR assay demonstrated the expression alterations of the seven lncRNAs between normal glial and glioma cell lines. Functional enrichment analysis revealed multiple EMT and metastasis-related pathways were associated with the EMT-related lncRNA prognostic signature. In addition, we observed the degree of immune cell infiltration and immune responses were significantly increased in high-risk subgroup compared with low-risk subgroup. In conclusion, we established an effective and robust EMT-related lncRNA signature which was expected to predict the prognosis and immunotherapy response for GBM patients.https://doi.org/10.1038/s41598-021-03213-y |
| spellingShingle | XinJie Yang Sha Niu JiaQiang Liu Jincheng Fang ZeYu Wu Shizhang Ling GuangFu Di XiaoChun Jiang Identification of an epithelial-mesenchymal transition-related lncRNA prognostic signature for patients with glioblastoma Scientific Reports |
| title | Identification of an epithelial-mesenchymal transition-related lncRNA prognostic signature for patients with glioblastoma |
| title_full | Identification of an epithelial-mesenchymal transition-related lncRNA prognostic signature for patients with glioblastoma |
| title_fullStr | Identification of an epithelial-mesenchymal transition-related lncRNA prognostic signature for patients with glioblastoma |
| title_full_unstemmed | Identification of an epithelial-mesenchymal transition-related lncRNA prognostic signature for patients with glioblastoma |
| title_short | Identification of an epithelial-mesenchymal transition-related lncRNA prognostic signature for patients with glioblastoma |
| title_sort | identification of an epithelial mesenchymal transition related lncrna prognostic signature for patients with glioblastoma |
| url | https://doi.org/10.1038/s41598-021-03213-y |
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