Development of a prognostic model based on an immunogenomic landscape analysis of medulloblastoma
| Autor: | Shenglun Li, Hongwei Zhang, Peng Huang, Chunjiang Yu, Yuduo Guo |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Immunology & Inflammation Biophysics Biology medicine.disease_cause medulloblastoma Biochemistry Models Biological a prognostic model 03 medical and health sciences 0302 clinical medicine Immune system medicine Humans Gene Regulatory Networks Cerebellar Neoplasms Molecular Biology Gene IRGs Research Articles Cancer Medulloblastoma ICAM2 Cell Biology medicine.disease Prognosis integrated analysis 030104 developmental biology Ras Signaling Pathway 030220 oncology & carcinogenesis Cancer research immune-related genes Signal transduction Carcinogenesis Transcription Factors Neuroscience |
| Zdroj: | Bioscience Reports |
| ISSN: | 1573-4935 |
| Popis: | Medulloblastoma (MB) is one of the most common central nervous system tumors in children. At present, the vital role of immune abnormalities has been proved in tumorigenesis and progression. However, the immune mechanism in MB is still poorly understood. In the present study, 51 differentially expressed immune-related genes (DE-IRGs) and 226 survival associated immune-related genes (Sur-IRGs) were screened by an integrated analysis of multi-array. Moreover, the potential pathways were enriched by functional analysis, such as ‘cytokine–cytokine receptor interaction’, ‘Ras signaling pathway’, ‘PI3K-Akt signaling pathway’ and ‘pathways in cancer’. Furthermore, 10 core IRGs were identified from DE-IRGs and Sur-IRGs. And the potential regulatory mechanisms of core IRGs were also explored. Additionally, a new prognostic model, including 7 genes (HDGF, CSK, PNOC, S100A13, RORB, FPR1, and ICAM2) based on IRGs, was established by multivariable COX analysis. In summary, our study revealed the underlying immune mechanism of MB. Moreover, we developed a prognostic model associated with clinical characteristics and could reflect the infiltration of immune cells. |
| Databáze: | OpenAIRE |
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