Establishment of immune prognostic signature and analysis of prospective molecular mechanisms in childhood osteosarcoma patients
| Autor: | Xinli Zhan, Guoyong Xu, Tuo Liang, Chong Liu, Zequn Wang, Jiang Xue, Xin Zhou, Zhaojie Qin, Haopeng Zeng, Jie Jiang, Zhaojun Lu, Chaojie Yu, Zide Zhang, Jiarui Chen |
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| Rok vydání: | 2020 |
| Předmět: |
Chemokine
medicine.medical_treatment molecular mechanisms CCR4 Kaplan-Meier Estimate Pediatrics CCL8 CCL5 03 medical and health sciences Chemokine receptor 0302 clinical medicine Childhood Osteosarcoma Biomarkers Tumor Humans Mass Screening Medicine Prospective Studies 030212 general & internal medicine Child Early Detection of Cancer Survival analysis C-C motif chemokine ligand genes Osteosarcoma biology immune infiltration business.industry Gene Expression Profiling C-C motif chemokine receptor General Medicine Immunotherapy Prognosis Survival Analysis childhood osteosarcoma immune prognostic signature Gene Expression Regulation Neoplastic 030220 oncology & carcinogenesis ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Cancer research biology.protein business Systematic Review and Meta-Analysis Research Article |
| Zdroj: | Medicine |
| ISSN: | 1536-5964 0025-7974 |
| Popis: | Supplemental Digital Content is available in the text Background: In pediatric tumors, immunotherapy exhibits less toxicity than chemotherapy and radiation. The current study aims to identify potential immune targets in immune-related genes of C-C motif chemokine ligand genes (CCLs) and C-C motif chemokine receptors (CCRs) in childhood osteosarcoma (OS) and to explore the underlying molecular mechanisms of childhood OS. Methods: Firstly, we identified immune-related genes in CCLs and CCRs, these genes were used for functional annotation and interaction analysis. Then, the prognostic value of these genes was evaluated using Kaplan-Meier analysis and multivariate COX regression model. And the potential relationship between risk score and immune infiltrating cells was identified. Finally, gene set enrichment analysis was used to determine the underlying molecular mechanism of OS. Immune-related genes in CCLs and CCRs are inextricably linked. Results: The results of survival analysis of these genes show that CCL5, CCL8, CCR4, and CCR5 are significantly associated with the prognosis of childhood OS. The combined effect survival analysis shows that the co-high expression of these 4 genes has a good prognosis for childhood OS. A prognostic signature model was constructed based on the 4 genes mentioned above, and the result of time-dependent receiver operating characteristic curves showed that this model was a good predictor of childhood OS 3- and 5-year prognosis. In addition, the risk score of the constructed prognostic signature model was closely related to immune infiltration. We also found that CCL5, CCL8, and CCR5 may affect the prognosis of OS through complex regulation among Toll-like receptor signaling pathway, mitogen-activated protein kinase (MAPK) family signaling cascade, and nuclear factor-kappaB pathway, whereas CCR4 affects the prognosis of OS by regulating eukaryotic translation. Conclusion: CCL5, CCL8, CCR4, and CCR5 are potential prognostic markers for the prognosis of childhood OS, and the underlying molecular mechanisms of childhood OS have been identified. |
| Databáze: | OpenAIRE |
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