Development of a prognostic index based on immunogenomic landscape analysis in glioma
Autor: | Peng Wang, Chuming Tao, Xingen Zhu, Jingying Li, Kai Huang, Haitao Luo |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
Oncology medicine.medical_specialty Intracranial tumor medicine.medical_treatment Immunology Malignancy 03 medical and health sciences 0302 clinical medicine Internal medicine Glioma glioma immune‐related genes medicine Tumor Microenvironment Immunology and Allergy Humans IRGs Original Research prognosis index business.industry Computational Biology Immunotherapy RC581-607 Nomogram medicine.disease Prognosis Gene Expression Regulation Neoplastic 030104 developmental biology Real-time polymerase chain reaction Landscape analysis immunotherapy Immunologic diseases. Allergy business 030215 immunology |
Zdroj: | Immunity, Inflammation and Disease Immunity, Inflammation and Disease, Vol 9, Iss 2, Pp 467-479 (2021) |
ISSN: | 2050-4527 |
Popis: | 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. Graphical abstract |
Databáze: | OpenAIRE |
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