Development of a prognostic index based on immunogenomic landscape analysis in glioma
Abstract Background Glioma is the most common intracranial tumor. The inflammatory response actively participates in the malignancy of gliomas. There is still limited knowledge about the biological function of immune‐related genes (IRGs) and their potential involvement in the malignancy of gliomas....
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-06-01
|
| Series: | Immunity, Inflammation and Disease |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/iid3.407 |
| _version_ | 1797831378688016384 |
|---|---|
| author | Haitao Luo Chuming Tao Peng Wang Jingying Li Kai Huang Xingen Zhu |
| author_facet | Haitao Luo Chuming Tao Peng Wang Jingying Li Kai Huang Xingen Zhu |
| author_sort | Haitao Luo |
| collection | DOAJ |
| description | Abstract Background Glioma is the most common intracranial tumor. The inflammatory response actively participates in the malignancy of gliomas. There is still limited knowledge about the biological function of immune‐related genes (IRGs) and their potential involvement in the malignancy of gliomas. Methods We screened differentially expressed and survival‐associated IRGs, and explored their potential molecular characteristics. Then we developed a prognostic index derived from seven hub IRGs. A prognostic nomogram was built to indicate the prognostic value of the prognostic index and seven IRGs. We characterized the immune infiltration landscape to analyze tumor‐immune interactions. The real‐time quantitative polymerase chain reaction assay was performed to validate bioinformatics results. Results The differentially expressed IRGs are involved in cell chemotaxis, cytokine activity, and the chemokine‐mediated signaling pathway. The prognostic index derived from seven IRGs had clinical prognostic value in glioma, and positively correlated with the malignant clinicopathological characteristics. A nomogram further indicated that the prognostic index and seven hub IRGs had clinical prognostic value for gliomas. We revealed that the prognostic index could reflect the state of the glioma immune microenvironment. Conclusion This study demonstrates the importance of an IRG‐based prognostic index as a potential biomarker for predicting malignancy in gliomas. |
| first_indexed | 2024-04-09T13:52:04Z |
| format | Article |
| id | doaj.art-1cf3177214de4e8e86cf2a39f1523a01 |
| institution | Directory Open Access Journal |
| issn | 2050-4527 |
| language | English |
| last_indexed | 2024-04-09T13:52:04Z |
| publishDate | 2021-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Immunity, Inflammation and Disease |
| spelling | doaj.art-1cf3177214de4e8e86cf2a39f1523a012023-05-08T13:20:48ZengWileyImmunity, Inflammation and Disease2050-45272021-06-019246747910.1002/iid3.407Development of a prognostic index based on immunogenomic landscape analysis in gliomaHaitao Luo0Chuming Tao1Peng Wang2Jingying Li3Kai Huang4Xingen Zhu5Department of Neurosurgery The Second Affiliated Hospital of Nanchang University Nanchang Jiangxi ChinaDepartment of Neurosurgery The Second Affiliated Hospital of Nanchang University Nanchang Jiangxi ChinaDepartment of Neurosurgery The Second Affiliated Hospital of Nanchang University Nanchang Jiangxi ChinaDepartment of Comprehensive Intensive Care Unit The Second Affiliated Hospital of Nanchang University Nanchang Jiangxi ChinaDepartment of Neurosurgery The Second Affiliated Hospital of Nanchang University Nanchang Jiangxi ChinaDepartment of Neurosurgery The Second Affiliated Hospital of Nanchang University Nanchang Jiangxi ChinaAbstract Background Glioma is the most common intracranial tumor. The inflammatory response actively participates in the malignancy of gliomas. There is still limited knowledge about the biological function of immune‐related genes (IRGs) and their potential involvement in the malignancy of gliomas. Methods We screened differentially expressed and survival‐associated IRGs, and explored their potential molecular characteristics. Then we developed a prognostic index derived from seven hub IRGs. A prognostic nomogram was built to indicate the prognostic value of the prognostic index and seven IRGs. We characterized the immune infiltration landscape to analyze tumor‐immune interactions. The real‐time quantitative polymerase chain reaction assay was performed to validate bioinformatics results. Results The differentially expressed IRGs are involved in cell chemotaxis, cytokine activity, and the chemokine‐mediated signaling pathway. The prognostic index derived from seven IRGs had clinical prognostic value in glioma, and positively correlated with the malignant clinicopathological characteristics. A nomogram further indicated that the prognostic index and seven hub IRGs had clinical prognostic value for gliomas. We revealed that the prognostic index could reflect the state of the glioma immune microenvironment. Conclusion This study demonstrates the importance of an IRG‐based prognostic index as a potential biomarker for predicting malignancy in gliomas.https://doi.org/10.1002/iid3.407gliomaimmune‐related genesimmunotherapyprognosis index |
| spellingShingle | Haitao Luo Chuming Tao Peng Wang Jingying Li Kai Huang Xingen Zhu Development of a prognostic index based on immunogenomic landscape analysis in glioma Immunity, Inflammation and Disease glioma immune‐related genes immunotherapy prognosis index |
| title | Development of a prognostic index based on immunogenomic landscape analysis in glioma |
| title_full | Development of a prognostic index based on immunogenomic landscape analysis in glioma |
| title_fullStr | Development of a prognostic index based on immunogenomic landscape analysis in glioma |
| title_full_unstemmed | Development of a prognostic index based on immunogenomic landscape analysis in glioma |
| title_short | Development of a prognostic index based on immunogenomic landscape analysis in glioma |
| title_sort | development of a prognostic index based on immunogenomic landscape analysis in glioma |
| topic | glioma immune‐related genes immunotherapy prognosis index |
| url | https://doi.org/10.1002/iid3.407 |
| work_keys_str_mv | AT haitaoluo developmentofaprognosticindexbasedonimmunogenomiclandscapeanalysisinglioma AT chumingtao developmentofaprognosticindexbasedonimmunogenomiclandscapeanalysisinglioma AT pengwang developmentofaprognosticindexbasedonimmunogenomiclandscapeanalysisinglioma AT jingyingli developmentofaprognosticindexbasedonimmunogenomiclandscapeanalysisinglioma AT kaihuang developmentofaprognosticindexbasedonimmunogenomiclandscapeanalysisinglioma AT xingenzhu developmentofaprognosticindexbasedonimmunogenomiclandscapeanalysisinglioma |