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Development and validation of a 21-gene prognostic signature in neuroblastoma

Survival outcomes for patients with neuroblastoma vary markedly and reliable prognostic markers and risk stratification tools are lacking. We sought to identify and validate a transcriptomic signature capable of predicting risk of mortality in patients with neuroblastoma. The TARGET NBL dataset (n =...

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Autores principales: Gupta, Mehul, Kannappan, Sunand, Jain, Mohit, Douglass, David, Shah, Ravi, Bose, Pinaki, Narendran, Aru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397261/
https://www.ncbi.nlm.nih.gov/pubmed/37532697
http://dx.doi.org/10.1038/s41598-023-37714-9
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author Gupta, Mehul
Kannappan, Sunand
Jain, Mohit
Douglass, David
Shah, Ravi
Bose, Pinaki
Narendran, Aru
author_facet Gupta, Mehul
Kannappan, Sunand
Jain, Mohit
Douglass, David
Shah, Ravi
Bose, Pinaki
Narendran, Aru
author_sort Gupta, Mehul
collection PubMed
description Survival outcomes for patients with neuroblastoma vary markedly and reliable prognostic markers and risk stratification tools are lacking. We sought to identify and validate a transcriptomic signature capable of predicting risk of mortality in patients with neuroblastoma. The TARGET NBL dataset (n = 243) was used to develop the model and two independent cohorts, E-MTAB-179 (n = 478) and GSE85047 (n = 240) were used as validation sets. EFS was the primary outcome and OS was the secondary outcome of interest for all analysis. We identified a 21-gene signature capable of stratifying neuroblastoma patients into high and low risk groups in the E-MTAB-179 (HR 5.87 [3.83–9.01], p < 0.0001, 5 year AUC 0.827) and GSE85047 (HR 3.74 [2.36–5.92], p < 0.0001, 5 year AUC 0.815) validation cohorts. Moreover, the signature remained independent of known clinicopathological variables, and remained prognostic within clinically important subgroups. Further, the signature was effectively incorporated into a risk model with clinicopathological variables to improve prognostic performance across validation cohorts (Pooled Validation HR 6.93 [4.89–9.83], p < 0.0001, 5 year AUC 0.839). Similar prognostic utility was also demonstrated with OS. The identified signature is a robust independent predictor of EFS and OS outcomes in neuroblastoma patients and can be combined with clinically utilized clinicopathological variables to improve prognostic performance.
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spelling pubmed-103972612023-08-04 Development and validation of a 21-gene prognostic signature in neuroblastoma Gupta, Mehul Kannappan, Sunand Jain, Mohit Douglass, David Shah, Ravi Bose, Pinaki Narendran, Aru Sci Rep Article Survival outcomes for patients with neuroblastoma vary markedly and reliable prognostic markers and risk stratification tools are lacking. We sought to identify and validate a transcriptomic signature capable of predicting risk of mortality in patients with neuroblastoma. The TARGET NBL dataset (n = 243) was used to develop the model and two independent cohorts, E-MTAB-179 (n = 478) and GSE85047 (n = 240) were used as validation sets. EFS was the primary outcome and OS was the secondary outcome of interest for all analysis. We identified a 21-gene signature capable of stratifying neuroblastoma patients into high and low risk groups in the E-MTAB-179 (HR 5.87 [3.83–9.01], p < 0.0001, 5 year AUC 0.827) and GSE85047 (HR 3.74 [2.36–5.92], p < 0.0001, 5 year AUC 0.815) validation cohorts. Moreover, the signature remained independent of known clinicopathological variables, and remained prognostic within clinically important subgroups. Further, the signature was effectively incorporated into a risk model with clinicopathological variables to improve prognostic performance across validation cohorts (Pooled Validation HR 6.93 [4.89–9.83], p < 0.0001, 5 year AUC 0.839). Similar prognostic utility was also demonstrated with OS. The identified signature is a robust independent predictor of EFS and OS outcomes in neuroblastoma patients and can be combined with clinically utilized clinicopathological variables to improve prognostic performance. Nature Publishing Group UK 2023-08-02 /pmc/articles/PMC10397261/ /pubmed/37532697 http://dx.doi.org/10.1038/s41598-023-37714-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Gupta, Mehul
Kannappan, Sunand
Jain, Mohit
Douglass, David
Shah, Ravi
Bose, Pinaki
Narendran, Aru
Development and validation of a 21-gene prognostic signature in neuroblastoma
title Development and validation of a 21-gene prognostic signature in neuroblastoma
title_full Development and validation of a 21-gene prognostic signature in neuroblastoma
title_fullStr Development and validation of a 21-gene prognostic signature in neuroblastoma
title_full_unstemmed Development and validation of a 21-gene prognostic signature in neuroblastoma
title_short Development and validation of a 21-gene prognostic signature in neuroblastoma
title_sort development and validation of a 21-gene prognostic signature in neuroblastoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397261/
https://www.ncbi.nlm.nih.gov/pubmed/37532697
http://dx.doi.org/10.1038/s41598-023-37714-9
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