Construction of a novel anoikis-related prognostic model and analysis of its correlation with infiltration of immune cells in neuroblastoma
BackgroundAnoikis resistance (AR) plays an important role in the process of metastasis, which is an important factor affecting the risk stage of neuroblastoma (NB). This study aims to construct an anoikis-related prognostic model and analyze the characteristics of hub genes, important pathways and t...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-04-01
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| Series: | Frontiers in Immunology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2023.1135617/full |
| _version_ | 1797852953677135872 |
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| author | Ji Chen Mengjiao Sun Chuqin Chen Meiyun Kang Bo Qian Jing Sun Xiaopeng Ma Jianfeng Zhou Lei Huang Bin Jiang Yongjun Fang |
| author_facet | Ji Chen Mengjiao Sun Chuqin Chen Meiyun Kang Bo Qian Jing Sun Xiaopeng Ma Jianfeng Zhou Lei Huang Bin Jiang Yongjun Fang |
| author_sort | Ji Chen |
| collection | DOAJ |
| description | BackgroundAnoikis resistance (AR) plays an important role in the process of metastasis, which is an important factor affecting the risk stage of neuroblastoma (NB). This study aims to construct an anoikis-related prognostic model and analyze the characteristics of hub genes, important pathways and tumor microenvironment of anoikis-related subtypes of NB, so as to provide help for the clinical diagnosis, treatment and research of NB.MethodsWe combined transcriptome data of GSE49710 and E-MTAB-8248, screened anoikis-related genes (Args) closely related to the prognosis of NB by univariate cox regression analysis, and divided the samples into anoikis-related subtypes by consistent cluster analysis. WGCNA was used to screen hub genes, GSVA and GSEA were used to analyze the differentially enriched pathways between anoikis-related subtypes. We analyzed the infiltration levels of immune cells between different groups by SsGSEA and CIBERSORT. Lasso and multivariate regression analyses were used to construct a prognostic model. Finally, we analyzed drug sensitivity through the GDSC database.Results721 cases and 283 Args were included in this study. All samples were grouped into two subtypes with different prognoses. The analyses of WGCNA, GSVA and GSEA suggested the existence of differentially expressed hub genes and important pathways in the two subtypes. We further constructed an anoikis-related prognostic model, in which 15 Args participated. This model had more advantages in evaluating the prognoses of NB than other commonly used clinical indicators. The infiltration levels of 9 immune cells were significantly different between different risk groups, and 13 Args involved in the model construction were correlated with the infiltration levels of immune cells. There was a relationship between the infiltration levels of 6 immune cells and riskscores. Finally, we screened 15 drugs with more obvious effects on NB in high-risk group.ConclusionThere are two anoikis-related subtypes with different prognoses in the population of NB. The anoikis-related prognostic model constructed in this study can accurately predict the prognoses of children with NB, and has a good guiding significance for clinical diagnosis, treatment and research of NB. |
| first_indexed | 2024-04-09T19:41:35Z |
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| id | doaj.art-f61e7abf16c44bc19b11c5d33be75d4c |
| institution | Directory Open Access Journal |
| issn | 1664-3224 |
| language | English |
| last_indexed | 2024-04-09T19:41:35Z |
| publishDate | 2023-04-01 |
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| series | Frontiers in Immunology |
| spelling | doaj.art-f61e7abf16c44bc19b11c5d33be75d4c2023-04-04T05:51:45ZengFrontiers Media S.A.Frontiers in Immunology1664-32242023-04-011410.3389/fimmu.2023.11356171135617Construction of a novel anoikis-related prognostic model and analysis of its correlation with infiltration of immune cells in neuroblastomaJi Chen0Mengjiao Sun1Chuqin Chen2Meiyun Kang3Bo Qian4Jing Sun5Xiaopeng Ma6Jianfeng Zhou7Lei Huang8Bin Jiang9Yongjun Fang10Department of General Surgery, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Hematology and Oncology, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Hematology and Oncology, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Hematology and Oncology, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Cardiothoracic Surgery, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Hematology and Oncology, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Hematology and Oncology, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of General Surgery, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of General Surgery, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of General Surgery, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Hematology and Oncology, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaBackgroundAnoikis resistance (AR) plays an important role in the process of metastasis, which is an important factor affecting the risk stage of neuroblastoma (NB). This study aims to construct an anoikis-related prognostic model and analyze the characteristics of hub genes, important pathways and tumor microenvironment of anoikis-related subtypes of NB, so as to provide help for the clinical diagnosis, treatment and research of NB.MethodsWe combined transcriptome data of GSE49710 and E-MTAB-8248, screened anoikis-related genes (Args) closely related to the prognosis of NB by univariate cox regression analysis, and divided the samples into anoikis-related subtypes by consistent cluster analysis. WGCNA was used to screen hub genes, GSVA and GSEA were used to analyze the differentially enriched pathways between anoikis-related subtypes. We analyzed the infiltration levels of immune cells between different groups by SsGSEA and CIBERSORT. Lasso and multivariate regression analyses were used to construct a prognostic model. Finally, we analyzed drug sensitivity through the GDSC database.Results721 cases and 283 Args were included in this study. All samples were grouped into two subtypes with different prognoses. The analyses of WGCNA, GSVA and GSEA suggested the existence of differentially expressed hub genes and important pathways in the two subtypes. We further constructed an anoikis-related prognostic model, in which 15 Args participated. This model had more advantages in evaluating the prognoses of NB than other commonly used clinical indicators. The infiltration levels of 9 immune cells were significantly different between different risk groups, and 13 Args involved in the model construction were correlated with the infiltration levels of immune cells. There was a relationship between the infiltration levels of 6 immune cells and riskscores. Finally, we screened 15 drugs with more obvious effects on NB in high-risk group.ConclusionThere are two anoikis-related subtypes with different prognoses in the population of NB. The anoikis-related prognostic model constructed in this study can accurately predict the prognoses of children with NB, and has a good guiding significance for clinical diagnosis, treatment and research of NB.https://www.frontiersin.org/articles/10.3389/fimmu.2023.1135617/fullneuroblastomaanoikistumor microenvironmentimmune cellWGCNAdrug sensitivity |
| spellingShingle | Ji Chen Mengjiao Sun Chuqin Chen Meiyun Kang Bo Qian Jing Sun Xiaopeng Ma Jianfeng Zhou Lei Huang Bin Jiang Yongjun Fang Construction of a novel anoikis-related prognostic model and analysis of its correlation with infiltration of immune cells in neuroblastoma Frontiers in Immunology neuroblastoma anoikis tumor microenvironment immune cell WGCNA drug sensitivity |
| title | Construction of a novel anoikis-related prognostic model and analysis of its correlation with infiltration of immune cells in neuroblastoma |
| title_full | Construction of a novel anoikis-related prognostic model and analysis of its correlation with infiltration of immune cells in neuroblastoma |
| title_fullStr | Construction of a novel anoikis-related prognostic model and analysis of its correlation with infiltration of immune cells in neuroblastoma |
| title_full_unstemmed | Construction of a novel anoikis-related prognostic model and analysis of its correlation with infiltration of immune cells in neuroblastoma |
| title_short | Construction of a novel anoikis-related prognostic model and analysis of its correlation with infiltration of immune cells in neuroblastoma |
| title_sort | construction of a novel anoikis related prognostic model and analysis of its correlation with infiltration of immune cells in neuroblastoma |
| topic | neuroblastoma anoikis tumor microenvironment immune cell WGCNA drug sensitivity |
| url | https://www.frontiersin.org/articles/10.3389/fimmu.2023.1135617/full |
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