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Establishment and Validation of a Prognostic Immune Signature in Neuroblastoma
BACKGROUND: Neuroblastoma (NBL) is the most common extracranial solid tumor in childhood, and patients with high-risk neuroblastoma had a relatively poor prognosis despite multimodal treatment. To improve immunotherapy efficacy in neuroblastoma, systematic profiling of the immune landscape in neurob...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477712/ https://www.ncbi.nlm.nih.gov/pubmed/34569303 http://dx.doi.org/10.1177/10732748211033751 |
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author | Yu, Yunhu Zeng, Yu Xia, Xiangping Zhou, Jian-Guo Cao, Fang |
author_facet | Yu, Yunhu Zeng, Yu Xia, Xiangping Zhou, Jian-Guo Cao, Fang |
author_sort | Yu, Yunhu |
collection | PubMed |
description | BACKGROUND: Neuroblastoma (NBL) is the most common extracranial solid tumor in childhood, and patients with high-risk neuroblastoma had a relatively poor prognosis despite multimodal treatment. To improve immunotherapy efficacy in neuroblastoma, systematic profiling of the immune landscape in neuroblastoma is an urgent need. METHODS: RNA-seq and according clinical information of neuroblastoma were downloaded from the TARGET database and GEO database (GSE62564). With an immune-related-gene set obtained from the ImmPort database, Immune-related Prognostic Gene Pairs for Neuroblastoma (IPGPN) for overall survival (OS) were established with the TARGET-NBL cohort and then verified with the GEO-NBL cohort. Immune cell infiltration analysis was subsequently performed. The integrated model was established with IPGPN and clinicopathological parameters. Immune cell infiltration was analyzed with the XCELL algorithm. Functional enrichment analysis was performed with clusterProfiler package in R. RESULTS: Immune-related Prognostic Gene Pairs for Neuroblastoma was successfully established with seven immune-related gene pairs (IGPs) involving 13 unique genes in the training cohort. In the training cohort, IPGPN successfully stratified neuroblastoma patients into a high and low immune-risk groups with different OS (HR=3.92, P = 2 × 10(−8)) and event-free survival (HR=3.66, P=2 × 10(−8)). ROC curve analysis confirmed its predictive power. Consistently, high IPGPN also predicted worse OS (HR=1.84, P = .002) and EFS in validation cohort (HR=1.38, P = .06) Moreover, higher activated dendritic cells, M1 macrophage, Th1 CD4(+), and Th2 CD4(+) T cell enrichment were evident in low immune-risk group. Further integrating IPGPN with age and stage demonstrated improved predictive performance than IPGPN alone. CONCLUSION: Herein, we presented an immune landscape with IPGPN for prognosis prediction in neuroblastoma, which complements the present understanding of the immune signature in neuroblastoma. |
format | Online Article Text |
id | pubmed-8477712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-84777122021-09-29 Establishment and Validation of a Prognostic Immune Signature in Neuroblastoma Yu, Yunhu Zeng, Yu Xia, Xiangping Zhou, Jian-Guo Cao, Fang Cancer Control Original Research Article BACKGROUND: Neuroblastoma (NBL) is the most common extracranial solid tumor in childhood, and patients with high-risk neuroblastoma had a relatively poor prognosis despite multimodal treatment. To improve immunotherapy efficacy in neuroblastoma, systematic profiling of the immune landscape in neuroblastoma is an urgent need. METHODS: RNA-seq and according clinical information of neuroblastoma were downloaded from the TARGET database and GEO database (GSE62564). With an immune-related-gene set obtained from the ImmPort database, Immune-related Prognostic Gene Pairs for Neuroblastoma (IPGPN) for overall survival (OS) were established with the TARGET-NBL cohort and then verified with the GEO-NBL cohort. Immune cell infiltration analysis was subsequently performed. The integrated model was established with IPGPN and clinicopathological parameters. Immune cell infiltration was analyzed with the XCELL algorithm. Functional enrichment analysis was performed with clusterProfiler package in R. RESULTS: Immune-related Prognostic Gene Pairs for Neuroblastoma was successfully established with seven immune-related gene pairs (IGPs) involving 13 unique genes in the training cohort. In the training cohort, IPGPN successfully stratified neuroblastoma patients into a high and low immune-risk groups with different OS (HR=3.92, P = 2 × 10(−8)) and event-free survival (HR=3.66, P=2 × 10(−8)). ROC curve analysis confirmed its predictive power. Consistently, high IPGPN also predicted worse OS (HR=1.84, P = .002) and EFS in validation cohort (HR=1.38, P = .06) Moreover, higher activated dendritic cells, M1 macrophage, Th1 CD4(+), and Th2 CD4(+) T cell enrichment were evident in low immune-risk group. Further integrating IPGPN with age and stage demonstrated improved predictive performance than IPGPN alone. CONCLUSION: Herein, we presented an immune landscape with IPGPN for prognosis prediction in neuroblastoma, which complements the present understanding of the immune signature in neuroblastoma. SAGE Publications 2021-09-25 /pmc/articles/PMC8477712/ /pubmed/34569303 http://dx.doi.org/10.1177/10732748211033751 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Article Yu, Yunhu Zeng, Yu Xia, Xiangping Zhou, Jian-Guo Cao, Fang Establishment and Validation of a Prognostic Immune Signature in Neuroblastoma |
title | Establishment and Validation of a Prognostic Immune Signature in Neuroblastoma |
title_full | Establishment and Validation of a Prognostic Immune Signature in Neuroblastoma |
title_fullStr | Establishment and Validation of a Prognostic Immune Signature in Neuroblastoma |
title_full_unstemmed | Establishment and Validation of a Prognostic Immune Signature in Neuroblastoma |
title_short | Establishment and Validation of a Prognostic Immune Signature in Neuroblastoma |
title_sort | establishment and validation of a prognostic immune signature in neuroblastoma |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477712/ https://www.ncbi.nlm.nih.gov/pubmed/34569303 http://dx.doi.org/10.1177/10732748211033751 |
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